Mulai

Buysellsignal

Buy-Sell with Adaptive Market Intelligence Engine Adaptive Market Intelligence Engine - Structure and Trend Confluence --------------------------------------- 📊 Overview Adaptive Market Intelligence Engine is a multi-layer market analysis indicator designed to interpret trend, market structure, momentum, volatility, participation, and higher-timeframe context through a unified weight-of-evidence framework. The purpose of the indicator is not to predict every price movement or produce frequent trade signals. Instead, it attempts to answer three practical questions: • Is the market trending, ranging, compressing, or expanding? • Which side currently has stronger technical evidence: buyers or sellers? • Has a sufficiently strong new directional trend developed to justify a BUY or SELL signal? The indicator combines several independent categories of technical evidence while attempting to reduce duplicated information and chart clutter. Its primary components include: • Major market structure • HH/HL and LH/LL structural progression • BOS and CHOCH detection • Trend regime classification • EMA trend structure • Higher-timeframe confirmation • VWAP / mean positioning • RSI momentum • MACD momentum • ADX and directional movement • Volume participation • ATR volatility analysis • Volatility compression detection • Bullish and bearish confluence scores • One-signal-per-trend state logic • Structural retest identification • Market intelligence dashboard The indicator is intended to work as an analytical framework rather than as a standalone mechanical trading system. --------------------------------------- 🧠 Core Philosophy Markets rarely move because of one technical condition. An EMA crossover alone, RSI reading alone, volume spike alone, or isolated market-structure break can provide incomplete information. This indicator therefore uses a weight-of-evidence approach. Different technical categories contribute to a bullish or bearish score, and directional signals are generated only when several conditions align simultaneously. The goal is to separate: Trend from Temporary movement and Directional expansion from Range-bound market noise. --------------------------------------- 🔄 Market Regime Engine Before evaluating directional signals, the indicator attempts to classify the current market environment. The main regime states are: • TRENDING • TREND EXPANSION • VOL EXPANSION • RANGE • COMPRESSION • TRANSITION The regime engine uses a combination of: • ADX • EMA separation relative to ATR • ATR expansion • Bollinger Bandwidth compression This is important because the same technical signal can behave differently depending on market conditions. For example, repeated structure breaks occurring inside a narrow range are intentionally treated differently from breaks occurring during an established directional expansion. BOS and CHOCH detection is therefore suppressed when the engine identifies significant range-bound or compression conditions. --------------------------------------- 🟢 Bullish Market Structure Bullish structural development is identified through sequences involving: Higher Highs and Higher Lows. Instead of placing HH and HL text labels across the chart, the indicator represents qualifying bullish structural progression using low-opacity green gradient bands. The bands are designed to visually communicate directional structure without covering the underlying candles. A structural band is not automatically created for every small pivot. The movement must satisfy configurable structure-strength and ATR-distance requirements. This helps reduce visual noise created by minor oscillations. --------------------------------------- 🔴 Bearish Market Structure Bearish structure is evaluated through: Lower Highs and Lower Lows. Qualifying bearish sequences are represented using low-opacity red gradient bands. As with bullish structure, minor swings are filtered using structural strength and ATR-based movement requirements. The purpose is to highlight meaningful directional structure rather than drawing every short-term fluctuation. --------------------------------------- 🔀 BOS and CHOCH The indicator also tracks external market structure. BOS = Break of Structure CHOCH = Change of Character These events are displayed using dashed structural break lines. A bullish BOS generally represents continuation of bullish external structure. A bearish BOS represents continuation of bearish external structure. CHOCH identifies a structure break occurring against the previously established structural direction. However, BOS and CHOCH are not treated as automatic trade signals. They are one component of the wider market intelligence engine. BOS/CHOCH events are also filtered when the market is classified as significantly range-bound or compressed. This is intended to reduce repeated structure-break markings inside sideways markets. --------------------------------------- 📈 Trend Engine The default trend model uses: Fast EMA: 21 Slow EMA: 50 A bullish trend condition requires bullish EMA alignment together with supportive price positioning. A bearish trend condition requires bearish EMA alignment together with supportive price positioning. The EMA ribbon provides a simple visual representation of the prevailing trend relationship. These values are configurable. --------------------------------------- 🌐 Higher-Timeframe Confirmation The engine can use a higher timeframe as an additional directional filter. Higher-timeframe confirmation evaluates: • Higher-timeframe price • Higher-timeframe fast EMA • Higher-timeframe slow EMA Confirmed higher-timeframe data is used rather than the developing higher-timeframe candle. This improves stability but introduces additional confirmation delay. The selected higher timeframe must be greater than the chart timeframe. For example: 15-minute chart → 1H or 4H confirmation 1H chart → 4H or Daily confirmation Using the same or a lower timeframe as the HTF setting is intentionally prevented. --------------------------------------- 📍 VWAP / Mean Location On intraday charts, the indicator uses session VWAP as a directional location reference. Above VWAP supports bullish evidence. Below VWAP supports bearish evidence. On non-intraday charts, an EMA-based mean reference is used instead. The purpose of this component is not to create VWAP crossover signals. It provides context regarding where price is trading relative to an important market mean. --------------------------------------- ⚡ Momentum Engine Momentum confirmation uses two separate measurements: RSI and MACD Histogram. The default bullish RSI threshold is above 52. The default bearish RSI threshold is below 48. The MACD histogram contributes additional directional momentum confirmation. Momentum is intentionally only one component of the complete score. A strong RSI reading by itself cannot produce a trade signal. --------------------------------------- 📊 ADX and Directional Movement ADX and DMI are used to evaluate trend quality. The engine considers: ADX strength * +DI / -DI directional dominance. Bullish directional confirmation requires sufficient ADX together with +DI dominance. Bearish directional confirmation requires sufficient ADX together with -DI dominance. This helps differentiate directional movement from weak oscillation. --------------------------------------- ⚡ Volume Participation Where reliable volume data is available, the engine evaluates current volume relative to its average. Bullish participation favors increased volume accompanying bullish price movement. Bearish participation favors increased volume accompanying bearish price movement. Volume can also be required as part of the final signal confirmation. For symbols where meaningful volume information is unavailable, the engine does not automatically treat missing volume as bearish or bullish confirmation. --------------------------------------- 🌡️ Volatility Analysis ATR is used throughout the indicator as a volatility-normalized measurement. This allows several conditions to adapt more naturally across instruments with different price scales. ATR is used in areas including: • Structure strength • Swing-leg measurement • Volatility expansion • Structural break buffering • Retest tolerance • Signal positioning The indicator also compares current ATR against a longer ATR baseline to identify volatility expansion. --------------------------------------- 📉 Compression Detection Bollinger Bandwidth is used internally to help identify volatility compression. The Bollinger Bands themselves are not plotted. When bandwidth contracts materially relative to its recent baseline, the engine can classify the environment as COMPRESSION. During these conditions, new structural signals are filtered more aggressively. --------------------------------------- 🧮 Bull and Bear Confluence Scores The engine independently calculates bullish and bearish scores from 0 to 100. The current weighting framework is: Current timeframe trend — 15 points Higher-timeframe trend — 20 points Major market structure — 20 points Momentum — 15 points VWAP / mean location — 10 points Volume participation — 10 points ADX / directional movement — 10 points Total possible score: 100 Bullish and bearish evidence are calculated separately. The difference between the two scores is also evaluated. This prevents a high bullish score from automatically being considered strong when bearish evidence is simultaneously elevated. --------------------------------------- 🎯 One Signal Per New Trend One of the most important features of the indicator is its trend-state signal engine. The indicator is intentionally designed NOT to print BUY or SELL signals repeatedly throughout the same trend. Once a new bullish trend satisfies the complete confirmation framework: BUY is generated once. Afterward: • Additional BOS events do not create another BUY. • Retests do not create another BUY. • New momentum confirmations do not create another BUY. • Continuation candles do not create another BUY. The bullish trend remains active until the internal trend-state engine determines that the trend has genuinely deteriorated or a confirmed bearish trend takes control. The same principle applies to SELL signals. This produces a sequence closer to: Neutral → New Bull Trend → BUY → Bull Trend Active or Neutral → New Bear Trend → SELL → Bear Trend Active rather than repeatedly generating signals during the same directional move. --------------------------------------- 🏷️ A and A+ Signal Grades Signals may display an A or A+ classification. These labels refer only to the amount of technical confluence present at the time of confirmation. They are NOT historical win-rate statistics. They do NOT represent a guaranteed probability of success. A+ simply represents stronger alignment within the indicator's internal scoring framework than the standard A condition. --------------------------------------- 🔁 Trend Reset Logic The engine does not immediately reset a trend because of one weak candle. Instead, it tracks sustained deterioration. The default Trend Reset Bars value is: 6 bars. A bullish trend remains active while bullish conditions remain sufficiently healthy. If the structure deteriorates for the required number of confirmed bars, the state returns to neutral and becomes eligible to identify a future trend. An opposite fully confirmed trend can also transition the state directly. This helps prevent repeated BUY → BUY → BUY or SELL → SELL → SELL signals during ordinary pullbacks. --------------------------------------- 🔄 Structural Retests After a valid structural break, the indicator can identify a return toward the broken level. Bullish breaks may produce an R>S RETEST. Bearish breaks may produce an S>R RETEST. Retests require price to return within an ATR-based tolerance and subsequently close back on the expected side of the level. Retest labels are analytical information. They do not independently generate another trade signal when a trend signal has already been used. --------------------------------------- 🧭 Premium, Discount and Equilibrium The latest confirmed major swing high and major swing low are also used to estimate the active structural range. Price is classified as: PREMIUM DISCOUNT EQUILIBRIUM. These classifications are contextual only. They should not be interpreted as automatic reversal zones. For example, price can remain in premium during a strong uptrend or remain in discount during a strong downtrend. --------------------------------------- ⚙️ Suggested Starting Configuration The default settings are designed as a balanced starting point rather than universally optimal parameters. Major Swing Length: 8 Fast EMA: 21 Slow EMA: 50 ADX Trend Threshold: 22 Minimum Signal Score: 86 Minimum Bull/Bear Advantage: 25 Trend Reset Bars: 6 Consecutive Structure Pairs: 2 Users should evaluate different settings according to the instrument, timeframe, volatility characteristics, and their own trading methodology. Avoid changing parameters simply to improve historical appearance. --------------------------------------- ✅ How to Use the Indicator The preferred workflow is: 1. Check Market Regime. If RANGE or COMPRESSION is displayed, directional signals should be treated cautiously. 2. Check Bull Score vs Bear Score. Look for meaningful separation rather than nearly equal scores. 3. Check Major Structure. Determine whether the external structure supports the intended direction. 4. Check HTF. Higher-timeframe agreement generally represents stronger directional alignment. 5. Observe the gradient structure bands. These provide visual context regarding recent bullish or bearish structural progression. 6. Check price relative to VWAP / Mean. This adds location context. 7. Wait for a confirmed new-trend signal. Avoid anticipating the BUY or SELL before the complete engine confirms it. 8. Perform independent risk analysis. Entry price, stop placement, targets, position size, option strike selection, and portfolio risk should be determined separately. --------------------------------------- 🚫 When to Avoid Using Signals You should generally avoid relying heavily on directional signals when: • Market Regime shows RANGE or COMPRESSION. • Bull and Bear scores are very close. • Price is reacting violently around major news. • Liquidity is poor. • The instrument has irregular or unreliable price/volume data. • The chosen timeframe produces excessive market noise. • A signal appears too close to an important external event or known gap-risk period. No technical indicator can eliminate these market risks. --------------------------------------- ⏱️ Important Pivot Confirmation Behavior The market-structure engine uses confirmed pivot highs and pivot lows. A pivot cannot be confirmed until the required number of bars has formed to its right. With a Major Swing Length of 8, for example, a major pivot requires eight subsequent bars before confirmation. After confirmation, structural graphics can be anchored visually to the original pivot bar. This means the historical chart can show a structural band beginning at the earlier pivot even though that pivot was not known to the indicator in real time until later. This is an important distinction. The structure graphics should therefore be interpreted as a confirmed historical map of market structure, NOT as proof that the swing was identifiable at the exact pivot candle. Trade signals themselves are evaluated on confirmed bars using information available to the signal engine at that time. --------------------------------------- 🕒 Higher-Timeframe Timing Higher-timeframe confirmation intentionally uses completed higher-timeframe information. This reduces instability associated with using a still-forming HTF candle. The tradeoff is confirmation delay. For example, a strong movement can begin before the previous completed higher-timeframe candle has confirmed the same direction. This indicator intentionally favors confirmation over immediate reaction. --------------------------------------- 🔬 What Makes This Indicator Different The intention behind Adaptive Market Intelligence Engine is not to combine unrelated indicators simply to produce more signals. Each component has a defined analytical role: EMA structure → trend HTF → broader directional context Market structure → price-action direction RSI / MACD → momentum VWAP / mean → location Volume → participation ADX / DMI → directional trend quality ATR → volatility normalization Bandwidth → compression / regime State machine → signal frequency control The final result is therefore based on agreement between multiple categories of market evidence rather than repeated confirmation from several indicators measuring essentially the same thing. Another important design choice is that structural information and trade signals are separated. BOS, CHOCH, gradient structure bands, retests, support/resistance information, and dashboard states can continue updating without generating repeated BUY or SELL labels. --------------------------------------- 🛡️ Risk Notice This indicator is intended for technical analysis and educational use. BUY and SELL labels represent conditions produced by the indicator's internal rules. They are not guarantees of future price movement and should not be interpreted as personalized investment advice. Markets involve risk, and technical conditions can fail. Users should independently evaluate price structure, liquidity, volatility, position sizing, stop placement, trading costs, and event risk before making any trading decision. Past chart behavior does not guarantee future results.
Indikator
oleh InvestyourAsset
3
Buy Signal Ema Macd CrossBuy Signal Ema Macd Cross — Xcelerate Trade All-in-one indicator for TradingView: multi-factor BUY confluence on the price chart + classic MACD (12, 26, 9) in a separate pane below. WHAT YOU GET • Price chart: MA14 (purple) and MA200 (red) — MA25/50/99 optional • BUY labels when all confluence rules align (not on a single isolated MACD cross) • Live Confluence table — MACD, Signal, Histogram, condition checks, active window • Movable table — 9 screen positions (corners & centers) • MACD pane: official TradingView-style histogram (4-tone momentum colors), MACD line, Signal line (orange), zero line BUY SIGNAL LOGIC A BUY fires only when these align within the Confluence window (default: 8 bars): 1. MACD crosses above Signal (bullish cross) 2. Close above MA14 and MA200 3. Price recently crossed above MA200 (within window) 4. MA14 recently crossed above MA200 (within window) 5. Cooldown: minimum 12 bars between BUY labels (anti-spam) Optional (default OFF): BUY only when MACD is below zero — cross and signal must occur under the zero line (classic recovery-from-oversold setup). Analysis limited to the last 500 bars on chart load. KEY SETTINGS • Moving averages: show/hide MA14, MA25, MA50, MA99, MA200 • MACD: 12 / 26 / 9, EMA oscillator & signal • Confluence window & cooldown — tune for your timeframe and volatility • Display: BUY label color, confluence table on/off, table position ALERTS • BUY confluence (all conditions met) • MACD crosses above / below Signal • MACD histogram rising→falling / falling→rising WHO IT'S FOR Traders who want filtered BUY entries combining trend (MA200), short-term momentum (MA14), and MACD confirmation — intraday and swing on forex, gold, crypto, indices. Always validate on demo and adjust window/cooldown for your market. DISCLAIMER Technical analysis tool only — not financial advice. Past signals do not guarantee future results. Trade at your own risk.
Indikator
oleh xcelerate_trade
Keltner Channel Trend + SMC Liquidity Sweep [BigBeluga]🔵 OVERVIEW The Keltner Channel Trend + SMC Liquidity Sweep is an advanced technical indicator created by BigBeluga to map volatility channels alongside Smart Money Concepts (SMC) liquidity pools and structural sweep zones. Traditional momentum strategies often fail to account for institutional liquidity resting above swing highs and below swing lows. In order to provide a solution to this problem, this indicator combines Keltner Channel trend metrics with dynamic Buyside Liquidity (BSL) and Sellside Liquidity (SSL) box tracking, identifying high-probability liquidity sweeps and trend continuation triggers directly on the chart. The indicator aims to visualize volatility expansion, structural liquidity pools, and stop-hunt reversal zones. The core element of its calculation involves evaluating Keltner Channel moving average basis lines and Average True Range offset bands alongside swing pivot extremes. The system establishes a dynamic trend envelope using exponential moving averages and volatility multipliers, while swing pivot detection locates key structural high and low levels. Higher values of length and multiplier settings allow the indicator to filter market noise and isolate major institutional liquidity zones. 🔵 FEATURES The system utilizes a multi-layered matrix structure to provide actionable market intelligence: 1 — Keltner Channel Trend Engine Adaptive Basis Midline: Computes an Exponential Moving Average basis line that dynamically changes color based on its slope. Volatility Bands: Projects upper and lower ATR-based channel bands with a background fill to gauge volatility expansion and contraction. 2 — SMC Liquidity Pool Tracking Buyside & Sellside Zones: Automatically plots dynamic BSL and SSL range boxes when swing pivots form outside the Keltner Channel boundaries. Extended Box Projections: Continuously updates and extends active liquidity boxes forward until price interacts with the structural levels. 3 — Liquidity Sweep & Mitigation Detection Sweep Reversals: Detects when price wicks past a liquidity level (BSL/SSL) but fails to close beyond it, signaling an institutional sweep and triggering entry labels. Structural Break Handling: Automatically terminates and restyles liquidity boxes into dashed gray zones when candles close cleanly past the levels. 🔵 HOW TO USE Apart from the basic visualization of trend channels, this tool can also act in alternative ways to support decision-making: Spot Institutional Liquidity Sweeps: Monitor the chart for SSL sweep or BSL sweep labels occurring when price wicks past BSL or SSL boxes outside the Keltner bands. Trade Trend Reversals from Sweeps: Use bullish SSL sweep signals as potential long entries following a sell-side liquidity grab, and bearish BSL sweep signals as short entries after a buy-side sweep. Track Trend Momentum via Midline: Observe the color transitions of the Keltner Channel basis line to align trades with the prevailing higher-timeframe trend direction. 🔵 NOTES Why this implementation is unique: It bridges traditional volatility-based Keltner Channels with advanced Smart Money Concepts liquidity pooling and sweep detection. The dynamic box engine automatically manages box extensions, terminations, and mitigation styling. The script is fully optimized for performance, utilizing advanced box rendering, custom styling parameters, and strict bar confirmation logic for high-precision execution.
Indikator
oleh BigBeluga
9
Trend Trail, Trailing Stop & Buy Sell Signals [LunqFX]An ATR trailing stop — the trend-following construction most traders know as SuperTrend — breaks in the same place every time. Price stops trending, the trailing stop gets clipped from both sides, and it prints a buy, a sell, a buy and a sell inside twenty bars. Every one of those is a false trend reversal, and the logic is not wrong: it is being asked a question the market is not answering. This is an open-source modification of the classic ATR based SuperTrend, and it asks that question first. Before it will give you a buy or sell signal it measures whether there is a trend to trail at all. When there is not, the whole chart goes dark — the trailing stop disappears, the fill drops, the candles fall to grey, and no long entry or short entry prints. And it does not ask you to take that on trust. A plain fixed-distance ATR trailing stop runs alongside it on the same data, and the panel shows both counts side by side with the difference worked out for you. Included: an average true range trailing stop with adaptive distance, a self-calibrating trend regime filter, buy and sell signals with the stop level printed on every label, a dormant state that switches the chart off in ranges, a live dashboard, and alerts on every trend reversal. ❶ THE REGIME FILTER — what this adds to a SuperTrend Trend strength is measured with the Kaufman Efficiency Ratio: the ground price actually covered, divided by the distance it travelled getting there. A clean leg scores near 1. The same distance walked back and forth scores near 0. That raw ratio is useless as a threshold on its own, and this is where most attempts at this fail. Gold on a 30-minute chart runs an efficiency around 0.01 while the euro daily runs 0.40 — any fixed cutoff leaves the fast charts permanently asleep and the slow ones permanently awake. So the reading is scored as a PERCENTILE of the symbol's own recent history. The trail arms when efficiency reaches the top third of what this instrument normally manages, whatever that happens to be. One setting, no per-symbol tuning. Two guards keep the state from flickering, because they catch different things. Hysteresis handles wobble around the threshold: once armed, the regime stays armed until efficiency drops clearly below the line. A minimum dwell time handles the other case — a clean spike that clears the threshold by a mile and drops straight back. Without both, a filter opens hundreds of regimes and ends up emitting more marks than the raw trail it was meant to quieten. ❷ DORMANCY — the trail does not exist in a range This is stronger than dimming a colour. When no regime is live the trail is torn down completely, and it is rebuilt from the current price when one opens, taking its side from the move that woke it. The reason is not cosmetic. A trail left running through a range turns over inside it, unseen, and the market then re-opens onto a direction that was decided while nobody was watching — a position with no entry behind it. Destroying and rebuilding means every segment on the chart begins with a real event, and every event gets a label. What you see is a chart that is either lit or switched off. Grey candles, no line, no signal: there is nothing here to do, and you can read that from across the room. ❸ THE ATR TRAILING STOP AND ITS ADAPTIVE DISTANCE The average true range sets the band width, and the trailing stop ratchets in the direction of the trend and never loosens — the same dynamic support and resistance line a SuperTrend gives you, flipping to a trend reversal when price closes through it. The stop level is printed on every buy and sell label, so the one number you need at the moment of a long entry or short entry is already on the chart. The distance is not fixed. One multiple has to be either too tight for choppy conditions or too loose for a clean run — it cannot be right for both, so the distance widens as efficiency falls and tightens as it rises. Turn it off in the settings for a constant multiple. ❹ THE RECEIPT — a filter you can audit A second trailing stop is computed on the same bars: fixed distance, no regime filter, nothing else — what an ordinary trailing stop would have done here. Its flip count sits in the panel next to this one's signal count, with the reduction calculated: Signals here · plain trail 164 · 236 Noise removed −31% Both numbers count the same thing — entries against entries. A state is not counted as a trade on either side. And when the result goes the wrong way the panel says "Noise ADDED" in red rather than quietly dropping the sign, because a panel that flatters its own script is worse than no panel. Read it as what it is: a measure of how much less often this fires, not a claim about money. Fewer signals is not automatically better signals, and this number does not pretend otherwise. ❺ THE DASHBOARD Direction and stop price in the header, trend strength as a 0–100 reading with a bar and the arming threshold beneath it, current stop distance in price and in ATR, and the two comparison rows. In the dormant state the header says so plainly and the stop row reads "no stop — dormant" rather than printing a number that does not exist. HOW TO USE IT 1 — Trade the lit stretches, ignore the grey ones. That is the whole discipline the tool is built around, and it is the part most trend systems leave to you. 2 — Use the trail as the stop, not just as a signal line. The level on the label is where the stop goes; the panel keeps showing the distance in ATR as the trade runs, so you can see when the trail has tightened to the point of being one bar away. 3 — Set the arming threshold to your patience. At 65 you get the top third of this symbol's clean moves. Raise it to 75 and you will trade far less on far cleaner legs. This is the one setting worth changing. 4 — Read the comparison rows on your own instrument. If the reduction on your symbol and timeframe is small, the filter is not finding much to remove there — which is itself information about the instrument, not a reason to distrust the reading. HOW IT WORKS The average true range sets the band width; the mid price plus and minus that width form the raw bands, exactly as in a classic ATR trailing stop. Each band ratchets in the trend's favour and never against it, and price closing through the opposite band flips the direction — the trend reversal. Efficiency is the net move over the lookback divided by the summed absolute bar-to-bar movement, ranked as a percentile against its own history. The regime arms above the threshold with hysteresis and a minimum dwell, and outside a regime the trail is not computed at all. Works on any symbol and any timeframe. The regime filter needs the self-calibration window to fill before it can arm, so the first stretch of a fresh chart stays dormant by design. SETTINGS ▸ Trail — ATR length, base distance, adaptive distance and its strength. ▸ Regime Filter — on or off, efficiency lookback, self-calibration window, arming percentile, hysteresis, minimum bars per regime. ▸ Signals — buy and sell signals, labels or arrows, stop level on the label. ▸ Visuals — glow, fill, candle dimming, dashboard position. ALERTS — buy, sell, any signal, regime opened and regime closed. All fire on closed bars. NON-REPAINTING — the trail is built from closed-bar values and every signal fires on bar close. A printed signal never moves and never disappears. WHY THESE PARTS ARE ONE SCRIPT The trail alone is an ordinary trailing stop and will chop you up in a range. The regime filter alone has nothing to gate. The comparison exists only because a filter nobody can check is just a claim, and it needs both of the others to have something to measure. Take any one away and the other two stop making a point. This indicator is an educational market-analysis tool, not financial advice. It does not predict price. The comparison figures describe how often each version of the trail changed direction on the loaded chart; they say nothing about profit or loss. Always confirm with your own analysis and manage your risk.
Indikator
oleh LunqFX
Uptrick: Adaptive Trend TrailIntroduction Uptrick: Adaptive Trend Trail is a trend-following overlay indicator that holds one of three states, bullish, bearish or neutral, where neutral applies only before the first confirmed flip on the chart. That state is visualized through a layered ATR trail or volatility bands, colored candles, and reversal labels. Rather than deriving direction from a single crossover, the indicator builds a composite regime score from nine weighted measurements, requires agreement from three internally calculated adaptive Supertrends, and then applies confirmation, cooldown and hysteresis rules whose strictness changes with measured market conditions. It also includes a valuation meter and a set of internal simulation statistics displayed in the Data Window. The design intent is to require more evidence before accepting a state change when measured directional efficiency is low, rather than to detect every turn as early as possible. Originality A trend state can be derived from a single measurement: a moving average cross, one Supertrend, or one oscillator threshold. Each responds to a different aspect of price and each has conditions where it carries less information. A long moving average responds slowly. A single volatility-stop line can change direction repeatedly when price oscillates within its band width. An oscillator carries no information about price structure or volatility state. This script combines measurements that are informative under different conditions, so that no single one can force a state change on its own, and it makes the strictness of the decision depend on measured market conditions rather than holding it fixed. Why these specific components were chosen : Directional efficiency (net movement over total path traveled over 10 bars) is used because it distinguishes directional movement from back-and-forth movement covering the same ground. Its inverse, chop, is the central control variable of the script. Chop is not only an input to the score; it directly changes how many Supertrends must agree, how many bars a signal must persist, how wide the hysteresis gate is, and how long the cooldown lasts. This is the mechanism that lets one configuration behave differently in high-efficiency and low-efficiency conditions without the user changing settings. Three Supertrends at different ATR lengths (fast 9, medium 14, slow 21) are used instead of one because a single Supertrend returns a binary direction with no measure of agreement. Three produce a vote count, which serves both as a gate (how many must agree) and as a continuous input to the composite score (vote difference divided by three). Their ATR multipliers are not fixed: chop and volatility expansion are added on top of the user's base factor, so all three widen as efficiency falls or volatility expands. Distance from the EMA baseline and momentum are both normalized by ATR rather than used raw. This expresses them relative to recent volatility and reduces their dependence on the instrument's absolute price scale, so the same threshold values remain meaningful on instruments with very different nominal prices. Baseline slope and a slower HL2 baseline slope are included because distance alone does not distinguish a market moving away from its mean from one moving back toward it. Two slopes at different speeds mean a short-term push against a flat longer-term structure contributes less to the score than an aligned move. RSI is included with a small weight (0.08) as a momentum cross-check rather than as a signal generator. At that weight it cannot on its own carry the score past the gate. Candle pressure (body direction and close location within the bar) and structure breaks (close beyond the prior N-bar high or low) are included with small weights (0.05 each) because they respond on the current bar, adding a small amount of immediacy to a score otherwise built from lagging averages. How they work together : the nine fields are blended into one regime value smoothed by a 3-period EMA. That value must exceed a dynamic gate whose size grows with selectivity, chop and volatility deviation. Price must also be displaced from the baseline. Momentum must have the correct sign. The Supertrend vote must be confirmed and persistent. Only then does a candidate exist, and the candidate must persist for one to three consecutive bars depending on chop, with a cooldown of six to ten bars since the last flip. A separate strong-move path can bypass the candidate persistence requirement and the cooldown when all three Supertrends agree unanimously, the score exceeds the gate by an additional margin, momentum is strong and efficiency is above 0.42. It does not bypass the underlying Supertrend persistence requirement. Finally, a takeover rule requires the fast Supertrend plus at least one slower one to agree with the new direction, so a flip cannot occur against the shorter-term Supertrend structure. The valuation meter and the internal simulation exist to provide context on the same chart rather than requiring separate indicators: one shows where smoothed RSI currently sits on a segmented scale, the other reports how the script's own state changes would have resolved under a simple trailing-stop assumption. Features Single trend state driving all visuals, bullish or bearish once the first flip occurs, neutral before that point Composite regime score built from nine weighted fields, blended and smoothed with a 3-period EMA Weighting: baseline distance 0.22, Supertrend consensus 0.20, momentum 0.19, baseline slope 0.14, slow baseline slope 0.10, directional efficiency 0.09, RSI 0.08, candle pressure 0.05, structure break 0.05 Directional efficiency engine measuring net movement against total path over 10 bars, producing a chop value used throughout the script Volatility regime measurement comparing current ATR to its 50-period EMA, producing expansion and deviation values Three internally calculated Supertrends (fast, medium, slow) used for logic only and not plotted on the chart Adaptive Supertrend factors, where chop and volatility expansion are added on top of each user-set base multiplier, with the slow Supertrend receiving the largest adjustment Vote-based Supertrend consensus requiring two of three in normal conditions and three of three when chop exceeds 0.70 Supertrend persistence requirement of one confirmed bar normally and two when chop exceeds 0.72 Dynamic hysteresis gate that widens with the selectivity input, with chop, and with volatility deviation Price displacement filter requiring close to be above or below the baseline by an ATR-scaled amount Momentum sign filter requiring directional momentum beyond a small deadband Adaptive confirmation requiring one, two or three consecutive candidate bars depending on measured chop Strong-move path that can bypass the candidate confirmation requirement and the cooldown when all three Supertrends agree, the score clears the gate by an additional 0.26, momentum exceeds 0.16 and efficiency exceeds 0.42, while still requiring Supertrend persistence Takeover rule requiring the fast Supertrend plus one slower Supertrend to align with the new direction before any flip Adaptive cooldown of six to ten bars between state changes, scaled by chop All state changes evaluated on confirmed bars only, so the state does not flip on an unclosed bar Trail overlay mode with three layers constructed at 0.55, 1.15 and 1.60 ATR multiples from the smoothed baseline, placed below it in bullish states and above it in bearish states, scaled by the width input Bands overlay mode with three levels on each side of the baseline at 1.30, 2.00 and 2.90 ATR multiples, scaled by the width input, using an additional smoothing stage applied to the already-smoothed baseline and ATR Overlay None mode that hides the Trail and Bands while leaving the other independently controlled outputs available Smoothness control applied to the baseline and ATR used for the overlay geometry Trend candles that recolor the price bars to the active state Reversal labels printed on the bar where the state changes, placed relative to the outer trail layer Valuation meter drawn as a table with a segmented scale and a pointer showing where 3-period smoothed RSI(14) currently sits Four meter sizes: Off, Compact (11 segments), Normal (17 segments) and Large (25 segments) Six meter positions covering top and bottom, left, center and right Internal historical trade simulation driven by the script's own state changes, reported in the Data Window Simulation outputs: return percent, win rate percent, profit factor, maximum drawdown percent and closed trade count Simulation uses a fixed 10000 starting equity and full-equity sizing, with a fee equal to 0.1 percent of entry equity deducted at entry and a further amount equal to 0.1 percent of that same entry equity applied at exit Simulation stop is set from the outer trail on the entry bar, constrained to at least one minimum tick beyond the entry close, and thereafter can only move in the position's favorable direction using the previous bar's outer trail value Simulation return figure includes unrealized profit or loss on any position still open, so it is not a closed-trade-only figure Two alert conditions, one for the bullish flip and one for the bearish flip, each carrying the ticker in the message Inputs Group 01, Trend Engine Trend Length, default 34, range 10 to 200. Sets the primary EMA baseline used for the overlay, the distance field and the baseline slope field. It also determines two internally derived lengths: the slower HL2 baseline is calculated at approximately 70 percent of this value with a floor of 10, and the structure-break lookback is approximately 12 percent of this value with a floor of 3. Momentum Length, default 12, range 3 to 100. Lookback used to measure directional momentum before ATR normalization. Signal Selectivity, default 0.35, range 0.10 to 1.25. Raises both the hysteresis gate and the required price displacement. Higher values produce fewer state changes. Group 02, Supertrend Confirmation Fast Length, default 9, range 2 to 100. ATR length of the fast internal Supertrend. Fast Factor, default 1.45, range 0.25 to 10.0. Base ATR multiplier of the fast internal Supertrend before adaptive widening. Medium Length, default 14, range 2 to 150. ATR length of the medium internal Supertrend. Medium Factor, default 1.95, range 0.25 to 10.0. Base ATR multiplier of the medium internal Supertrend. Slow Length, default 21, range 2 to 200. ATR length of the slow internal Supertrend, acting as the broader continuation confirmation. Slow Factor, default 2.55, range 0.25 to 10.0. Base ATR multiplier of the slow internal Supertrend. Group 03, Overlay Overlay, default Trail, options Trail, Bands, None. Selects which overlay geometry is drawn, or hides both. Width, default 1.00, range 0.40 to 2.50. Scales the distance of all trail layers and all band levels from the baseline. Because the internal simulation uses the outer trail layer as its stop, this input also changes the Data Window statistics. It does not affect the trend engine. Smoothness, default 5, range 1 to 20. Smooths the baseline and ATR used to build the overlay geometry, and is applied a second time to those already-smoothed values when Bands mode is selected. Because the outer trail layer is built from these smoothed values, this input also changes the Data Window statistics. It does not affect the trend engine. Group 04, Valuation Meter Size, default Normal, options Off, Compact, Normal, Large. Controls whether the meter is shown and how many segments it uses. Position, default Top Center, options Top Left, Top Center, Top Right, Bottom Left, Bottom Center, Bottom Right. How It Works The baseline is an EMA of close over the Trend Length. ATR(14) is the volatility unit and is floored at one tick to avoid division problems on illiquid data. Directional efficiency is the absolute 10-bar net price change divided by the sum of the absolute bar-to-bar changes over the same window, clamped between 0 and 1. Chop is one minus that value. Efficiency is signed by the 10-bar direction to form the efficiency field. Volatility regime compares current ATR to its 50-period EMA. Expansion is the amount above one, clamped to 1.25. Deviation is the absolute distance from one, clamped to 1.50. The three Supertrend factors are the user's base values plus a chop term and a volatility expansion term. Their directions become bullish or bearish votes. The vote requirement is two of three normally and three of three when chop exceeds 0.70, and the confirmed vote must persist for one confirmed bar, or two when chop exceeds 0.72. Nine fields are then blended. Distance from baseline and momentum are divided by ATR and clamped. Baseline slope and slow baseline slope are three-bar changes divided by ATR and clamped. RSI(14) is centered on 50 and clamped. The Supertrend field is the vote difference divided by three. Candle pressure combines body direction and close location within the bar. Structure is plus one when close breaks the prior N-bar high and minus one when it breaks the prior N-bar low. The weighted sum is smoothed with a 3-period EMA to produce the regime value. The gate is 0.22 plus selectivity times 0.12, plus chop times 0.085, plus a volatility deviation term capped at 0.06. A bullish candidate exists when the regime exceeds the gate, close is above the baseline by the required ATR displacement, momentum is positive beyond its deadband, and the bullish Supertrend consensus is persistent. The bearish candidate is the mirror. A candidate must persist for one bar in high-efficiency conditions, two when chop exceeds 0.40, and three when chop exceeds 0.72. The strong-move path can bypass that candidate persistence requirement and the cooldown, but only when all three Supertrends agree, the regime clears the gate by an additional 0.26, momentum exceeds 0.16 in absolute terms and efficiency is above 0.42. Because the strong-move path is itself built on the candidate condition, it does not bypass the Supertrend persistence requirement. It is intended to provide a faster response when directional evidence is unusually strong under the script's own measurements. Before any flip is accepted, the takeover rule requires the fast Supertrend and at least one of the medium or slow Supertrends to be aligned with the new direction. A cooldown of six bars plus up to four additional bars scaled by chop must also have elapsed since the last flip, unless the strong-move path is active. All of this is evaluated on confirmed bars only. When the state flips, the counters reset, the label prints, the candles recolor and the overlay switches sides. Before the first flip on a chart the state is neutral, candles are yellow, and the trail layers sit flat on the baseline. The valuation meter takes RSI(14), smooths it with a 3-period EMA, and maps it onto the selected number of segments with a pointer. It is a positioning display for smoothed RSI and nothing more; it does not measure fair value and is not part of the trend decision. The Data Window values come from a simplified internal historical trade simulation implemented inside the indicator. The script is an indicator, not a TradingView strategy, so these are not Strategy Tester results and no Strategy Tester properties apply. The simulation opens a position at the close of each flip bar and closes it on either an opposite flip or a stop. The stop is set on the entry bar from the outer trail, constrained to at least one minimum tick beyond the entry close, and thereafter can only move in the position's favorable direction using the previous bar's outer trail value. Starting equity is 10000, the full equity is used on every position, a fee equal to 0.1 percent of entry equity is deducted at entry, and a further amount equal to 0.1 percent of that same entry equity is applied at exit. Win rate and profit factor are classified on the fee-inclusive result of each position. The return figure is calculated from equity including unrealized profit or loss on any position still open, so it is not a closed-trade-only figure. These assumptions are deliberately simplified. The purpose is to compare the effect of different settings against one another on the same symbol, not to model a tradable account. Full-equity sizing is used so the figures are not dependent on an arbitrary position size choice, and no sizing shown here is being recommended. No slippage, spread, funding cost or gap-through-stop execution is modelled, so the simulation does not reproduce actual execution conditions and may differ materially from live trading. There is no take profit and positions are never partially closed. These values describe the script's own historical state changes under those assumptions and are not evidence about future behavior. How to Use Add the indicator to a clean chart and read the current state from the candle color and the overlay side. In Trail mode the layers are constructed below the smoothed baseline while the state is bullish and above it while the state is bearish. In Bands mode the three levels on each side show how far price has extended from the baseline in ATR terms. Increase Signal Selectivity if you are getting more state changes than you want, or increase Trend Length for a slower baseline. Increase the Supertrend factors to require larger moves before the internal confirmation layer will agree. Reduce the factors and lengths for faster and noisier behavior on lower timeframes. Width and Smoothness do not affect the trend engine, so flips and alerts are identical regardless of their values. Both do change the Data Window statistics, because the stop used by the internal simulation is drawn from the outer trail layer. The two alerts fire on confirmed bars when the state changes. Treat the Data Window values as a rough comparison tool between settings on the loaded symbol and history, subject to the assumptions listed above. Limitations to be aware of: because confirmation, persistence, takeover and cooldown conditions must all be satisfied before a state change is accepted, a flip can occur after price has already moved some distance from where the previous state ended. During lower-efficiency conditions the script requires additional Supertrend agreement and additional confirmation bars, which increases that distance further. These mechanisms intentionally prioritize confirmation over earliest possible detection, and that trade-off cannot be removed by settings, only shifted. Values on the current unclosed bar can change until that bar closes, since state changes are only committed on confirmed bars. The chart begins in a neutral state until the first flip is accepted. Behavior varies substantially between symbols and timeframes, and the defaults are a starting point rather than an optimized configuration. Conclusion Uptrick: Adaptive Trend Trail derives a trend state from nine weighted measurements rather than a single crossing, and makes the strictness of that decision a function of measured directional efficiency and volatility through the chop and volatility terms. The overlay, the trend candles, the valuation meter and the internal simulation are there to make that state and its context readable on one chart. It is a decision-support tool for discretionary trend reading and is intended to be used alongside your own analysis and risk management rather than as a standalone system. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any instrument. All trading involves risk and can result in substantial losses. Leveraged products can involve additional risks that depend on the instrument, broker and account structure. Past behavior of this indicator, including any statistics it displays, does not predict or guarantee future results. Signals, statistics and visuals vary across symbols, timeframes and market conditions. You are solely responsible for your own trading decisions and should test any tool thoroughly and apply your own risk management before using it with real capital.
Indikator
oleh Uptrick
5
Triple Supertrend Confluence [MarkitTick]💡 A triple-layer Supertrend confluence system that fuses adaptive volatility bands, multi-timeframe bias, momentum strength, volume conviction, and a cooldown throttle into a single, high-confidence trend signal — then automates the entire trade plan around it with ATR-scaled stop-loss and three staged take-profit levels. ✨ Originality and Utility Most Supertrend implementations on the platform are single-instance: one ATR period, one multiplier, one line. This script restructures the classic Supertrend into a voting system. Three independently parameterized Supertrend instances (a primary "core" trend and two auxiliary "fast" and "slow" trackers) are calculated in parallel from the same underlying price source, and a signal is only treated as valid when a configurable number of these instances agree on direction. This confluence layer is what separates the tool from a standard Supertrend plot — it is designed to filter out the single biggest weakness of trend-following overlays: getting whipsawed by a solitary indicator flipping on marginal price action. On top of the consensus layer, the script lets traders stack up to four independent, optional confirmation filters (trend strength via ADX/DMI, higher-timeframe directional bias, relative volume, and a bar-count cooldown) before a signal is considered "confirmed." Each filter can be toggled independently, so the tool scales from a bare-bones single Supertrend up to a fully gated, multi-condition trend-following system. A real-time dashboard keeps every filter's pass/fail state visible at a glance, and an automated trade-planning layer converts each confirmed flip into a structured entry/stop/three-tier-target plan, plotted directly on the chart and exposed through webhook-ready JSON alert payloads. 🔬 Methodology and Concepts • Core Supertrend Engine The underlying trend engine follows the standard Supertrend construction: an ATR-derived envelope is built around a price source, with an upper band (source plus a multiple of ATR) and a lower band (source minus a multiple of ATR). These bands are "ratcheted" bar to bar — the lower band can only rise or reset if price closes below the prior lower band, and the upper band can only fall or reset if price closes above the prior upper band. The active trend line switches between the lower band (uptrend) and upper band (downtrend) whenever price closes through the opposite band, producing the familiar stepped Supertrend line. This engine is reused three times with different parameters to build the confluence system described below. • Adaptive Source Smoothing Rather than feeding raw HL2 price directly into the Supertrend engine, the script offers eight optional smoothing methods to pre-condition the source: Simple, Exponential, and Wilder's Moving Averages; a Double-Pass Weighted Moving Average; a Triple-Pass Volume-Weighted Moving Average; a Hull Moving Average; a custom slope-adjusted average (LLAMA) that blends a simple mean with a linear slope projection over the lookback window; and a single-state Kalman Filter that recursively updates an estimate and its error covariance bar by bar to produce a noise-adaptive average. Smoothing the source before it reaches the Supertrend calculation reduces false flips caused by single-bar noise spikes, at the cost of some responsiveness. • Adaptive Volatility Factor Instead of using a fixed ATR multiplier for the core Supertrend band width, the script can compute a percentile rank of current ATR against its own recent history (a lookback window of your choosing). This rank is then mapped linearly onto a user-defined minimum/maximum multiplier range. In practice, this means the band automatically widens during historically high-volatility regimes (reducing whipsaw) and tightens during historically low-volatility regimes (increasing sensitivity), rather than using one static multiplier across all conditions. • Triple Consensus Voting Two additional Supertrend instances — a faster-reacting pair (shorter ATR length, smaller multiplier) and a slower-reacting pair (longer ATR length, larger multiplier) — run alongside the core engine on the same smoothed source. When consensus mode is enabled, a signal is only marked confirmed if at least two of the three instances (including the core) agree on direction. This is a simple majority-vote filter designed to suppress signals that are specific to one particular band setting rather than representative of the broader trend structure. • ADX / DMI Trend Strength Filter An optional Average Directional Index filter, calculated using Wilder's Directional Movement methodology, requires ADX to be at or above a user-defined threshold before a flip is confirmed. This is a standard technique for distinguishing genuine directional moves from choppy, non-trending price action, since Supertrend-style systems are known to underperform in low-ADX ranging conditions. • Higher-Timeframe Bias Filter An optional filter pulls the trend direction of the same Supertrend engine calculated on a higher, user-selected timeframe, and only confirms a signal if it aligns with that higher-timeframe bias. The higher-timeframe value is read from the prior, fully closed bar on that timeframe to avoid any intra-bar recalculation, ensuring the filter reflects only confirmed historical structure rather than an in-progress bar. • Volume Confirmation Filter An optional filter compares current bar volume against its own moving average, requiring volume to exceed the average by a user-defined multiple before a signal is confirmed. This is a simple conviction check: trend changes accompanied by above-average participation are treated as more reliable than those occurring on thin volume. • Cooldown Guard An optional bar-count throttle prevents a new confirmed signal in the same direction as a recent prior signal if too few bars have elapsed since that prior signal within the same directional segment, reducing rapid re-signaling during choppy transition periods. • Confirmation Lag Notice All confirmation logic (consensus vote, ADX filter, HTF bias, volume filter, cooldown guard) and the resulting BULL/BEAR labels, alerts, and trade-level plotting are evaluated strictly on confirmed, closed bars using barstate.isconfirmed. This means every signal displayed or alerted is final and will not repaint once printed. However, users should be aware that a signal is only confirmed one bar after the actual Supertrend flip occurs, since the confirmation checks (particularly the higher-timeframe bias filter) require a fully closed bar to evaluate safely. This introduces a small, deliberate one-bar lag between the raw trend flip and the confirmed signal in exchange for eliminating repainting. • Automated Trade Level Engine On every confirmed flip, the script calculates a full trade plan from the entry price (the confirmed close), an ATR-scaled stop-loss (a user-defined multiple of ATR away from entry), and three take-profit levels defined as user-configurable risk:reward multiples of the initial stop distance. These levels are drawn as extending lines and labels, with shaded risk and reward zones between them, and refresh automatically on each new confirmed signal unless the signal is manually locked. 🎨 Visual Guide Stepped trend line (color reflects the Up/Down Color inputs): traces the active Supertrend band. It plots along the lower band while price is in an uptrend and the upper band while price is in a downtrend. Muted/gray trend line: when a filter is active but not yet satisfied, the trend line temporarily switches to the Unconfirmed Color to signal that the raw trend has flipped but confirmation is still pending. Soft background fill (Up Fill / Down Fill colors): a translucent shaded region behind price reinforcing the current trend direction. Heatmap candles: when enabled, candle bodies and wicks are recolored using the Heatmap Up/Down colors to match the current trend direction, offering an at-a-glance visual of trend state independent of the line itself. "BULL" / "BEAR" labels: printed below or above the bar respectively, only on confirmed flips that pass every active filter. Gray cooldown background: a shaded band that appears across the chart while the Cooldown Guard is actively suppressing new signals. Trade level lines: a solid red Stop-Loss line, a dashed blue Entry line, and three dashed teal Take-Profit lines (TP1 lightest, TP3 most opaque), each extending to the right of the current bar with a price label attached, shown only when Show Trade Levels is enabled. Shaded risk/reward zones: a light red fill between Stop-Loss and Entry (the risk zone) and a light teal fill between Entry and TP3 (the reward zone). On-chart dashboard table: displays symbol/timeframe, Lock status, current Trend direction, Confirmed state, ADX value with a color-coded strength percentage, active Adaptive Filter type, Consensus vote count, HTF Bias direction and pass/fail, Volume filter pass/fail, and remaining Cooldown bars — all updating on the most recent bar. 📖 How to Use Use the stepped trend line and background fill as the primary trend read: price above the line with an up-colored fill suggests an uptrend context; price below with a down-colored fill suggests a downtrend context. Treat a "BULL" or "BEAR" label as the actionable signal rather than the raw line flip — labels only appear once every enabled filter has passed, meaning the signal has already been screened for trend strength, higher-timeframe alignment, volume conviction, and cooldown status. If the trend line is showing the Unconfirmed Color, the underlying trend has technically flipped but is still waiting on one or more active filters — treat this as a "watch" state rather than a trade trigger. Check the dashboard on each new bar to see exactly which filter(s) are passing or failing before a signal can confirm; this is useful for understanding why an expected signal did not appear. When Show Trade Levels is enabled, use the plotted Stop-Loss, Entry, and TP1/TP2/TP3 lines as a starting reference for structuring a trade around a confirmed signal — adjust position sizing and targets to your own risk tolerance. Enable Lock Signal to freeze the current trade-level plot in place (useful for screenshots or reviewing a specific setup) without it being overwritten by a new signal. The JSON alert payloads are formatted for direct use in webhook-based automation, carrying action, ticker, timeframe, direction, and price fields for long entries, short entries, and their corresponding close-position triggers. ⚙️ Inputs and Settings ATR Len / Factor: the ATR lookback and multiplier for the core Supertrend engine; higher Factor values produce a looser band and fewer, larger-magnitude signals. Adaptive Factor (and Min/Max/Rank Len): when enabled, replaces the fixed Factor with a volatility-percentile-driven multiplier that ranges between Factor Min and Factor Max based on where current ATR sits within its own recent history. Use ADX Filter / ADX Threshold / ADX Length: gates signal confirmation on trend strength; raise the threshold to demand stronger directional conviction before confirming. Adaptive Filter / Adaptive Filter Len: selects the source-smoothing method applied before the Supertrend calculation, and its lookback length. Use HTF Confluence / HTF: requires the selected higher timeframe's own Supertrend direction to agree before confirming a signal. Use Volume Filter / Volume Avg Len / Volume Mult: requires current volume to exceed its moving average by the given multiple before confirming. Use Cooldown Guard / Cooldown Bars: suppresses new same-direction signals for a set number of bars following a recent prior signal in the same directional segment. Use Triple Consensus / Fast Factor / Fast ATR Len / Slow Factor / Slow ATR Len: enables the majority-vote filter and configures the auxiliary fast and slow Supertrend instances used to build consensus. Lock Signal: freezes the currently plotted trade levels, preventing them from updating on a new signal. Show Trade Levels: toggles the automated Entry/SL/TP1-3 line and label plotting. SL ATR Mult: the ATR multiple used to place the stop-loss distance from entry. TP1/TP2/TP3 R:R: the risk:reward multiples used to place each take-profit level relative to the stop distance. Heatmap Candles / BULL-BEAR Labels / Show Dashboard / Position: visual display toggles and dashboard placement. Long/Short/Close Long/Close Short Action: customizable string values embedded in the JSON alert payload's "action" field, for mapping to specific webhook automation commands. 🔍 Deconstruction of the Underlying Scientific and Academic Framework • Volatility-Based Trend Following (Supertrend / ATR Envelopes) The core engine descends from the broader family of volatility-adjusted trend-following bands, which use Average True Range (a measure of typical price movement magnitude popularized by J. Welles Wilder) to scale a trailing stop-and-reverse line to prevailing market volatility rather than a fixed price distance. The ratcheting band logic ensures the line never moves against the prevailing trend, which is the defining mechanical property of a trailing-stop-style trend system as opposed to a simple moving average crossover. • Percentile Ranking for Regime Adaptation The adaptive factor mechanism applies percentile rank normalization — expressing current ATR as its standing relative to a distribution of its own recent historical values — as a way of contextualizing volatility without relying on a fixed absolute threshold, which allows the same logic to be meaningfully applied across instruments and timeframes with very different baseline volatility levels. • Ensemble / Majority-Vote Filtering The Triple Consensus mechanism is a straightforward application of ensemble logic: combining multiple independent estimators (in this case, differently parameterized instances of the same underlying model) and requiring agreement among a majority before acting. This is a well-established technique for variance reduction in signal processing and forecasting contexts, on the premise that independent estimators are less likely to agree by chance during noise-driven, non-trending conditions than during genuine directional moves. • Wilder's Directional Movement / ADX The ADX filter is drawn directly from J. Welles Wilder's Directional Movement System, which decomposes price movement into positive and negative directional components and derives a smoothed index (ADX) representing trend strength independent of direction. ADX below common threshold levels is widely associated with range-bound, non-trending conditions in technical analysis literature. • Recursive State Estimation (Kalman Filtering) The optional Kalman Filter smoothing method applies a simplified single-state form of the Kalman recursive estimation framework from control theory and signal processing, in which a running estimate is continuously updated by weighting new observations against the estimate's own error covariance, producing a smoothing average that adapts its responsiveness based on recent prediction error rather than using a fixed lookback window. • Slope-Adjusted Trend Extrapolation (LLAMA) The LLAMA smoothing option combines a simple arithmetic mean with a linear slope term derived from the change in price over the lookback window, projecting the average forward along the recent trend direction — a lightweight application of linear extrapolation principles used to reduce the inherent lag of simple averaging methods. • Volume as a Conviction Proxy The volume filter reflects the broader technical-analysis principle that price movements accompanied by above-average participation carry more informational weight than those on thin volume, a concept with roots in classical volume-price analysis dating back to early technical analysis literature (e.g., Dow Theory's treatment of volume as a confirming factor). ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indikator
oleh MarkitTick
9
Range Commander ORB [JOAT]An Opening Range Breakout command center: captures the opening range, projects measured-move targets, and tracks the breakout live. ◆ WHAT IT IS The opening range — the high and low of the first minutes of a session — is one of the most-watched intraday reference structures. Range Commander captures it automatically, locks it into a clean box, and builds a full breakout and target framework around it. It is a context and structure tool: it maps the range, marks the breaks, and tracks the targets — it does not fire endless buy/sell arrows. This is 100% original code, written from scratch. It does not reuse any other author's ORB script. ◆ HOW IT WORKS 1. Range capture. During your chosen session window (default 09:30–09:45 New York, fully adjustable with a timezone selector), the indicator records the running high and low into a live box. 2. Lock and project. When the window closes, the range locks. Its height becomes 1R , and the tool projects measured-move target rails at ±0.5R, ±1R and ±1.5R (all configurable), plus the range midline. 3. Breakout logic. A breakout is registered on either a close beyond the range (cleaner) or a wick beyond the range (faster) — your choice. An option stamps only the first break per side per day to keep the chart immaculate. A minimum range-size filter (in ATR) lets you skip dead, low-range opens. 4. Retests and targets. After a break, the first return to the broken edge is marked with a subtle diamond, and each measured-move target is tracked as hit or unhit in the dashboard. ◆ WHAT YOU SEE • A precision opening-range box with high/low rails and optional midline • Measured-move target rails at ±0.5R / ±1R / ±1.5R • Minimal breakout stamps and retest diamonds — no arrow spam • A resizable command dashboard with breakout status, OR high/low with intact-or-broken state, range height, range-versus-ATR quality (tight / normal / wide), which targets have printed, and retest status ◆ HOW TO USE IT • Set the session window to match your instrument and desired ORB length (e.g. 0930-1000 for a 30-minute range). • A wide range vs. ATR often signals a more energetic session; a tight range warns breakouts may be prone to failure. • Use the ±R target rails as objective, pre-defined profit references and the opposite range edge as a natural invalidation. • Designed for intraday timeframes . On daily and higher charts the session concept does not apply, and the dashboard will say so. ◆ NOTES & LIMITATIONS Use on standard candlestick charts and intraday timeframes. Opening-range breakouts fail as well as follow through — the tool maps structure and targets, it is not financial advice and cannot guarantee a break will run. Combine it with your own analysis and risk management. — made with passion by officialjackofalltrade
Indikator
oleh officialjackofalltrades
3
Liquidity Reaper [JOAT]Tracks resting liquidity at swing extremes and signals the reversal when that liquidity is raided and rejected. ◆ WHAT IT IS Price frequently pushes just beyond an obvious swing high or low — running the stops resting there — and then snaps back. Liquidity Reaper is built to detect that specific sequence: a sweep of a liquidity pool followed by a confirmed rejection , with volume backing the move. Each confirmed raid produces a reversal signal and a complete trade framework. This is 100% original code, written from scratch. It does not copy or repackage any other author's work. ◆ HOW IT WORKS 1. Liquidity pools. Confirmed swing highs and lows (using your chosen strength) are stored as live liquidity rails — the price levels where stop orders tend to cluster. Unswept rails stay drawn on the chart; the oldest are recycled so the chart never clutters. 2. The raid. When price trades through a pool intrabar, a pending sweep opens on that side and the rail is terminated at the raid bar. 3. Confirmation. The raid only becomes a signal if, within a set confirmation window, price closes back inside the level in the opposite direction. Two extra filters keep the signal honest: • Rejection wick — the sweep must reject with a wick of at least a configurable percentage of the candle's range, filtering shallow pokes • Volume expansion — the raid must occur on above-average volume, so passive drifts are ignored 4. The zone. Each confirmed raid paints a swept zone across the raided range (pool level to wick extreme) — a reference area price often reacts to again. ◆ WHAT YOU SEE • Liquidity rails at unswept swing highs (upside liquidity) and lows (downside liquidity) • RAID BUY / RAID SELL labels showing the relative volume of the raid • Painted swept zones on every confirmed raid • A full TP/SL framework — entry, stop, TP1–TP3, risk/reward fills — that self-closes on a stop or final target • A resizable dashboard reporting live pool counts each side, the nearest pool above and below with its ATR distance, pending-sweep status, raid history, and open position ◆ HOW TO USE IT • The rails show where liquidity rests — natural draw-on-liquidity targets and reaction levels even before any signal. • A RAID signal marks a completed sweep-and-reject; treat it as a potential reversal from that extreme. • Swept zones are useful for re-entries and for placing stops beyond the wick. • Works on all symbols and timeframes. Increase swing strength and the wick filter for major structure only; loosen them for active intraday sweeps. ◆ NOTES & LIMITATIONS Use on standard candlestick charts . Sweep detection needs a genuine volume feed for the volume filter to be meaningful (disable it on symbols without volume). Signals are decision-support only — they are not financial advice and cannot guarantee a reversal will follow. Always apply your own risk management. — made with passion by officialjackofalltrade
Indikator
oleh officialjackofalltrades
7
[JOAT] Apex Flow EngineApex Flow Engine A volatility-adaptive trend-flow engine that only signals when the move has measurable quality behind it. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ◆ WHAT IT IS Apex Flow Engine tracks the market's underlying flow — the direction price is genuinely travelling once noise is stripped out — and grades every potential entry against a transparent Flow Quality score before a signal is ever printed. It is built to keep a chart clean while still giving a full trade framework: entry, stop, and three take-profit targets. This is 100% original code. It does not reuse or repackage anyone else's script. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ◆ HOW IT WORKS 1. The Flow Baseline. Instead of a fixed moving average, the baseline is an efficiency-weighted adaptive average . It measures how much net directional travel price achieved versus how much raw movement it burned to get there (an efficiency ratio). When price moves cleanly, the baseline speeds up and hugs price; when price chops sideways, it slows and flattens. This keeps the reference honest in both trending and ranging conditions. 2. The Flow Envelope. An ATR-scaled band is wrapped around the baseline. A flow flip is only registered when price closes beyond the opposite band for a configurable number of confirmation closes — this filters the marginal pokes that create false flips on lower timeframes. 3. The Flow Quality score (0–100). Every flip is scored on four independent components before it becomes a signal: • Momentum alignment — is momentum pushing in the flip direction • Volume pulse — is participation expanding versus its own average • Candle structure — did the trigger candle close with a decisive body • Efficiency — how clean the underlying move is A signal fires only if the score meets your minimum threshold, so weak, low-conviction flips are skipped. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ◆ WHAT YOU SEE • BUY / SELL labels carrying the live Quality score plus an efficiency and volume read at the moment of the signal • A full TP/SL framework on every signal — entry line, stop-loss, TP1 / TP2 / TP3, and shaded risk/reward zones — that automatically stops updating once the stop or the furthest target is reached • An optional gradient flow ribbon whose intensity scales with Quality, and three candle-coloring styles (Gradient, Solid, Two-Tone) • A resizable command dashboard with block-meter gauges for Quality, Efficiency, Volume, Body and Stretch, plus live position and stop readouts ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ◆ HOW TO USE IT • Trade in the direction of the current Flow State . Treat higher-Quality signals as higher-conviction. • The Stretch (ATR) reading shows how far price has extended from the baseline — large values warn that a pullback may be near before entering late. • Use the built-in SL and TP levels as a structured plan, or as a reference for your own risk model. • Works on all symbols and all timeframes. Raise the confirmation closes and minimum Quality on fast intraday charts for fewer, cleaner signals. ◆ SETTINGS THAT MATTER • Flow Baseline Length / Acceleration — responsiveness of the core • Envelope Width + Confirmation Closes — how strict a flip must be • Minimum Quality Score — the signal gate • TP/SL group — ATR or percent stops, and independent R:R per target ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ◆ NOTES & LIMITATIONS Apply the indicator to standard candlestick charts . Signals are decision-support tools that describe current conditions — they are not financial advice and no indicator can predict the future or guarantee an outcome. Always combine with your own analysis and risk management. — made with passion by officialjackofalltrade
Indikator
oleh officialjackofalltrades
1
Andean Oscillator ProFull credit to alexgrover for the Andean Oscillator, which this is built on. Original script: Original writeup: alpaca.markets/learn/andean-oscillator-a-new-technical-indicator-based-on-an-online-algorithm-for-trend-analysis/ WHAT THE ORIGINAL MEASURES The oscillator tracks two exponential envelopes, one on price and one on price squared. Differencing them recovers a standard deviation for each direction of travel. The bull component grows as price pulls away above its lower envelope. The bear component grows as price pulls away below its upper envelope. Whichever is larger tells you which side is doing the work, and how hard. The important thing to understand about this family of readings is that it is a measure of distance already travelled. It cannot be large until a move has already happened. That shapes everything about how you use it. WHAT THIS VERSION ADDS Adaptive envelope decay. The original decays its envelopes at a fixed rate set by one length input. This version computes an efficiency ratio over a lookback and slides the decay rate between a fast bound and a slow bound. In a clean directional move the envelope forgets old extremes quickly, so the reading responds sooner. In chop it slows back down to roughly the original behaviour. ER Power controls how much trend quality it demands before speeding up. Normalization. The raw components come out in price units, which means a threshold you find on one symbol is meaningless on another. Percent mode expresses them as a share of price. ATR mode expresses them in volatility units. Either way your settings travel. Energy gate. The original compares the components to their own moving average, which costs you several bars of lag. This version ranks the larger component as a percentile of its own recent history instead. There is no smoothing involved, so it reacts the moment expansion starts, and the number means the same thing on every instrument. A gate of 90 means you only act on readings in the top tenth of what this market normally produces. Deadband with hysteresis. Entry requires the spread between the two components to clear a percentile band. Exit only requires the spread to change sign. That asymmetry is what lets the faster envelope run without producing constant flips around the zero line. Trade management on the chart. When bias flips, the script marks the entry and places a stop at a multiple of ATR, both drawn on the price chart. Once price has moved a set distance in your favour the stop jumps to just past your cost, then a chandelier trail arms and ratchets in one direction only. It never loosens. The trade ends at that stop or on an opposite signal, which closes and reverses. Stop colour tells you the state at a glance. Red is the initial stop, orange means breakeven is locked, blue means the trail is running. Everything else. Optional squeeze filter requiring a quiet stretch before the gate opens, the envelopes drawn on the price chart, bias shown three ways so you can read direction without looking at numbers, and a single alert carrying entry, stop and energy. HOW TO READ IT Green bars, green background, LONG label means the bull component leads and the gate was open when it flipped. Red is the reverse. Grey bars mean no position. The two faint black lines in the pane are the deadband, so you can see how far the spread has to travel before a flip qualifies. Fill intensity between the components tracks energy, so a washed out fill means the market is quiet by its own standards even if the components have crossed. Orange dots along the bottom mark bars where the gate is open but no bias has been established yet. Think of those as armed and waiting. SETTINGS Energy Gate is the one that matters. It sets how selective the entries are, and nothing else in the script changes behaviour as much. Raise it for fewer and larger setups, lower it for more frequent ones. Expect a high gate to feel quiet. That is the setting working. Stop, breakeven and trail distances are all measured in ATR rather than in R, and that is deliberate. Denominating protection distance in R ties how far you wait before protecting profit to how far you are willing to be wrong, and those two should move independently. Defaults are set for 15 minute crypto. Presets are included for 5 minute and 1 hour. Published open source under CC BY-NC-SA 4.0, same license as the original.
Indikator
oleh MonkeyPhone
Volume Delta Pressure [JOAT]Volume Delta Pressure estimates how much of each bar's volume was buying versus selling, then turns that split into a clean read on who is actually in control. It combines a per-bar delta engine, a cumulative session delta line, a normalized pressure oscillator, gradient candle heat, VWAP bands, and a full on-chart dashboard — so order flow becomes something you can see at a glance instead of guessing. ▎ WHAT IT DOES It reconstructs buy/sell volume for every candle, tracks the running net delta across the session, and measures whether current flow is stretched into Accumulation or Distribution . From that it colors your candles by pressure, prints cooldown-gated BUY/SELL labels, flags CVD/price divergences, and reports the full picture in a top-corner panel. ▎ HOW IT WORKS • Delta engine — Two methods. Lower-TF Intrabar polls a smaller timeframe, signs each intrabar by its direction (up = buy, down = sell, doji split), and sums the volume. Range/Body Proxy splits chart-bar volume using where close sits inside the bar's range blended with candle-body direction. Auto uses intrabar data when available and falls back to the proxy everywhere else. • Bar delta — Buy volume minus sell volume for the current candle, plus buy% / sell% of total bar volume. • CVD — Cumulative volume delta that adds each bar's delta and resets on your chosen anchor (session/day, week, month, or never). • Pressure oscillator — Delta is EMA-smoothed, then normalized either as a Z-Score against its rolling mean/stdev (roughly −3..+3) or as % of Volume (−100..+100). This single value drives the state, gauge, and candle color. • Signals — A BUY fires when pressure crosses up through zero; a SELL when it crosses down. Each flip must also pass a delta-expansion filter (absolute delta above a multiple of its recent average), optional price confirmation (up close for buys, down close for sells), an optional divergence requirement , and a cooldown that blocks stacked same-side signals. Signals only confirm on bar close. • Divergence — Pivot highs/lows on price are compared against CVD at the same pivot. Price lower-low with CVD higher-low prints a Bull Div ; price higher-high with CVD lower-high prints a Bear Div . Each stays "active" for a set number of bars. • VWAP + σ bands — Anchored VWAP with inner and outer standard-deviation channels, tinted green above / red below. • No-volume guard — On assets that report no volume, signals switch off and the dashboard shows a clear notice instead of printing misleading data. ▎ HOW TO USE IT • Read candle heat first: deep green = strong net buying, grey = balanced, deep red = strong net selling. Candles flash full color on a confirmed signal. • Treat BUY / SELL pills as flow-flip alerts, not standalone entries. They are strongest when they agree with the CVD trend and VWAP location. • Use CVD to judge conviction behind a move — price up while CVD falls warns the push is thin. • Divergence labels mark spots where price and delta disagree — useful for anticipating exhaustion or reversal. • Trade with the VWAP channel : above VWAP favors longs, band edges mark stretched conditions and mean-reversion zones. • For fewer, higher-quality signals, turn on Require CVD Divergence and keep price confirmation on. ▎ KEY SETTINGS • Engine — Delta method, intrabar timeframe (auto or manual), proxy close-vs-body weight, and delta smoothing. • Pressure Oscillator — Normalization mode, lookback, and the Accumulation / Distribution thresholds. • CVD & Divergence — Reset anchor, pivot length, recency window, and label caps. • Signals — Expansion multiplier and baseline, price/divergence requirements, cooldown, and label size/cap. • VWAP — Source, anchor, inner/outer σ multipliers, and colors. • Visuals — Gradient candle toggle, saturation points, and the buy/neutral/sell color set. • Dashboard — Show/hide, position, and text size. ▎ DASHBOARD A top-right gradient panel reporting: delta source (LTF or Proxy), bar delta, session/cumulative CVD and its trend, buy% and sell%, the pressure value, a segmented flow gauge, the current State (Accumulation / Distribution / Neutral), active divergence, dominant side, VWAP location, and the last active signal — each cell color-coded by side. ▎ ALERTS • Buy Pressure Flip — fires on a confirmed BUY signal. • Sell Pressure Flip — fires on a confirmed SELL signal. ▎ NOTES • Works on all timeframes and assets that report volume; degrades gracefully where volume is absent. • Signals confirm on bar close, so labels and alerts do not repaint after the bar completes. • Every visual layer — candles, VWAP, labels, dashboard — toggles independently for a clean chart. • Delta is an estimate reconstructed from price and volume, not exchange-reported order flow. For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always do your own analysis and manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
SMT Divergence Matrix [JOAT]════════════════════════════════ SMT DIVERGENCE MATRIX ════════════════════════════════ Smart Money Technique divergence, automated. This tool watches your chart symbol against up to two correlated reference assets and flags the moment they disagree at a swing — the classic footprint of one market failing to confirm another. When your chart carves a new low that a correlated market refuses to match, that non-confirmation is highlighted as a potential turn. ▎ WHAT IT DOES It compares swing highs and lows on your chart to the same swings on two reference instruments and looks for SMT divergence — where the assets normally move together but split at a pivot. Each qualifying event is drawn as a connector line between the two chart pivots, tagged with a BUY or SELL pill, and paired with an optional ATR-based stop and target zone. A dashboard reports live correlation, structure, and which reference triggered. ▎ HOW IT WORKS • Swing detection — confirmed pivot highs and lows are located on the chart using a configurable left/right pivot length . Larger values isolate more significant swings. • Reference sync — the same high/low/close series are pulled for up to two reference assets on your chart's timeframe, guarded against invalid symbols. • Bullish SMT — the chart prints a lower low while a correlated reference prints a higher low . That failure to confirm the downside is read as bullish non-confirmation. • Bearish SMT — the chart prints a higher high while a correlated reference prints a lower high , reading as bearish non-confirmation. • Either reference can trigger — a signal fires from whichever asset fails to confirm; the dashboard shows REF1, REF2, or both. • Correlation filter — rolling correlation between chart and reference is measured over a lookback. SMT only makes sense when assets normally track together, so signals can be restricted to references whose correlation is currently at or above a minimum. • Confirmation filter — the triggering bar can be gated by RSI momentum turning in the signal direction, by a directional candle close, by both , or by nothing. • Cooldown — a minimum bar gap between same-direction signals prevents clustering, and the engine never fires a buy and sell on the same bar. • Trade zones — on each signal, entry is taken at the close, stop is placed a chosen ATR multiple away, and the target is projected at your risk/reward ratio. The zones live-extend to the right each bar and freeze the moment price touches the stop or target. ▎ HOW TO USE IT • Set Reference Asset 1 and 2 to instruments that genuinely correlate with your chart (index futures, sector peers, a lead/lag pair). The technique is only meaningful when the assets normally move together. • A BUY pill below price marks bullish non-confirmation; a SELL pill above price marks bearish non-confirmation. The pill text names the reference that triggered. • The divergence line connects the two chart pivots involved, so you can see the exact swings being compared. • Treat the red zone as risk (entry-to-stop) and the blue/violet zone as reward (entry-to-target). Use them as a visual framework, not a mechanical order. • Combine signals with your own read of market structure, session timing, and key levels rather than trading them in isolation. ▎ KEY SETTINGS • Engine — swing pivot length, the two reference symbols and their enable toggles, and correlation lookback. • Filters — confirmation mode (None / RSI / Candle / Both), RSI length, positive-correlation requirement with a minimum threshold, and signal cooldown. • Trade Model — show ATR SL/TP toggle, ATR length, stop distance in ATR multiples, risk/reward target, and a cap on drawn setups for performance. • Visuals — divergence lines, signal labels, pivot markers, label size, custom bull/bear colors, an optional candle zone-reader, and a session VWAP with ±σ bands. • Dashboard — show toggle, position, and text size. ▎ DASHBOARD The panel reports correlation state and value for each reference (Strong+, Positive, Weak, Negative, Strong−, or OFF), the last SMT side with the triggering reference, current market structure (HH / HL / LH / LL), running bull/bear counts , total divergences , live signal status , and current ATR . ▎ ALERTS • Bullish SMT — chart lower low versus a correlated higher low. • Bearish SMT — chart higher high versus a correlated lower high. Both include ticker and interval placeholders in the message. ▎ NOTES • Works on any symbol and any timeframe; references are read on the chart's own timeframe. • Signals are based on confirmed pivots, which require the configured right-side bars to close before a swing is validated. • Colored candles and VWAP bands are off by default for a clean chart, and the drawn-setup cap keeps performance stable. • Reference data uses non-lookahead requests and tolerates invalid symbols without breaking the script. For research and education only. This is not financial advice. No indicator predicts the future, on-chart signals and counts are illustrative of historical behavior only, and past behavior does not guarantee future results. Always manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
Range Breakout Pro [JOAT]═══ RANGE BREAKOUT PRO ═══ Range Breakout Pro is a universal breakout engine. It defines a reference range from the Previous Day , Previous Week , an Initial Balance window, or a Custom Session , draws that range on the chart, and only fires a trade idea when price confirms a close beyond the edge. Every signal is scored 0–10 for conviction and shipped with a full trade plan: stop, three R-multiple targets, and live outcome tracking. ▎ WHAT IT DOES It turns a simple "price broke the range" event into a structured, filtered, and scored decision. The chosen range basis is projected onto the current period as a box with edge rails and a midline. A confirmed break becomes a clean LONG or SHORT label with a stop, TP1/TP2/TP3 zones, and a running performance panel — all built to keep the chart readable. ▎ HOW IT WORKS — Range basis : Previous Day / Previous Week project the prior completed period's high-low forward. Initial Balance and Custom Session accumulate the high-low inside a session window (in your chosen timezone) and lock the range at the window close. — Break detection : a bar must close beyond the range edge, not just wick through it. In direct mode the close must clear the level by a Break Buffer measured in ATR. — Optional retest : with retest confirmation on, price must break, pull back within a tolerance of the level, then close beyond it again before a signal arms — decisive reversals back through the level cancel the setup. — Strength score (0–10) : each candidate is graded on candle body dominance, candle range vs ATR, volume vs its average, 3- and 5-bar momentum agreement, penetration depth past the level, RSI posture, higher-timeframe trend alignment, whether it is the first break of the period, and range size vs ADR. The score maps to a ★ rank and a tier from FORMING to ELITE. — Filters/gates : minimum strength to signal, optional "strong only" threshold, HTF EMA trend alignment (longs above, shorts below), a range-vs-ADR gate (skip ranges too tight or too wide), and a max-signals-per-period cap. — Trade model : entry at the confirming close. Stop from Structure (opposite range edge), Mid (range midline), or ATR , with an ATR buffer plus min/max risk clamps. Targets are placed at your TP1/TP2/TP3 R-multiples off the measured risk. — Outcome engine : each trade is tracked bar by bar for TP1/TP2/TP3, stop, or end-of-period flatten, including same-bar stop handling, and the result feeds the stats panel. — VWAP overlay : session-anchored VWAP with ±1σ bands and an optional ±2σ outer channel, tinted to the side price is trading. ▎ HOW TO USE IT — Pick the range basis that fits your style: intraday traders often use Initial Balance or Custom Session; swing traders use Previous Day or Previous Week. — Wait for a LONG / SHORT label. The ★ rank and score tell you how much confluence backed that break — treat higher tiers as higher conviction. — The entry line is the confirming close, the dashed line is the stop , and the three solid lines are targets tagged 🎯 TP1 , 🥈 TP2 , 🏆 TP3 . The green zone is the reward area; the red zone is risk. — Use the range box, midline, and rails as context: reclaims of the midline, failed breaks, and edge retests are all readable at a glance. — Layer the VWAP bands as confluence — breakouts extending away from VWAP with room to the outer channel read differently than breaks stalling into a band. — Result labels (TP / SL / EOP with the R outcome) close each idea so you can review what worked. ▎ KEY SETTINGS — Engine : range basis, session timezone, IB / custom windows, retest toggle, break/retest tolerances, max signals per period. — Strength & Filters : ATR length, minimum score, strong-only threshold, HTF trend alignment (timeframe + EMA length), and the range-vs-ADR gate. — Trade Model : stop basis and buffer, ATR stop distance, min/max risk caps, TP1/2/3 in R, and how many past trades to keep drawn. — Visuals : Ice / Emerald / Mono theme, box, rails, midline, measured-move ×1/×2 guides, projection length, label size, and toggles for signal, lines, zones, level labels, and result labels. — VWAP & Candles : VWAP source, σ multiplier and lookback, outer channel, and optional RSI-gradient candles. — Dashboard : show/hide, position, text size, and the outcome breakdown row. ▎ DASHBOARD A chrome-accented panel reports the active range basis, current range size and % of ADR, price vs VWAP (with σ distance), engine status (forming / armed / trade active), the active and last signal with its score, and live stats: win rate , profit factor , average R per trade, long vs short win%, best direction, total signals, current and max streaks, plus an optional TP1/TP2/TP3 · SL · EOP outcome breakdown. ▎ ALERTS — RBP Long and RBP Short on a confirmed, filtered breakout. — TP3 Hit , Partial TP (protected exit), SL Hit , and EOP Exit (end-of-period flatten). ▎ NOTES — Works on any market and any timeframe. — Higher-timeframe data uses confirmed prior values, so signals are evaluated on bar close and do not repaint after the fact. — Clean-by-default: measured-move guides, extra rails, gradient candles, and the outer channel all sit behind toggles so you can strip the chart down or build it up. — Drawn history (ranges and trades) is capped to keep the chart light. This tool is for research and education only. It is not financial advice. No indicator can predict the future, and any statistics shown reflect historical signals on your chart — past behavior does not guarantee future results. Always do your own analysis and manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
Exhaustion Velocity v6EXHAUSTION VELOCITY v6 WHAT IT DOES This indicator marks moments where a fast directional move appears to be running out of participants. It does not attempt to predict tops or bottoms ahead of time. It waits for the specific bar where speed, volume and acceleration all point toward a climax rather than a continuation. THE MEASUREMENTS Velocity is the price change over a lookback window, normalized by ATR so that moves in quiet conditions and moves in violent conditions are scored on the same scale. The velocity z score expresses how unusual the current speed is relative to the last sixty bars. A reading near 2 means price is travelling roughly two standard deviations faster than it typically does. Volume surge compares current volume to its own moving average. Climax bars usually arrive on a flood of volume. Occasionally they arrive on volume vanishing instead, which is why the volume test accepts either a spike or a sharp drop. Acceleration is the change in velocity from bar to bar. While new participants keep entering, velocity keeps rising. When acceleration flips sign, the flow driving the move has stopped even though price may still be extended. HOW SIGNALS FIRE Four independent paths can produce a signal. Standard climax. Extreme velocity, a qualifying volume condition, and an acceleration flip within a short window of the extreme. Hard climax. Velocity far beyond the threshold on heavy volume, printed without waiting for the flip, because these bars frequently reverse within the bar itself. Wick rejection. Extreme velocity combined with a long tail in the direction of the move and a close in the opposite half of the bar range. Velocity divergence. Price makes a fresh low or high while velocity into that extreme is weaker than it was at the previous one, and the bar closes against the move. This catches second leg exhaustion where the final push arrives with less force than the one before it. FILTERS Adaptive threshold. The trigger level can float at a percentile of recent velocity readings rather than sitting at a fixed number, so it tightens automatically in high volatility regimes and loosens in compressed ones. Stretch requirement. Price must sit a minimum ATR distance from a baseline moving average, which prevents signals in the middle of a range where there is nothing meaningful to revert toward. Cooldown. A minimum bar spacing between signals so that a messy climax produces one entry instead of a cluster. READING THE LABELS Each signal counts how many conditions confirmed it. A plain B or S met one. B plus or S plus met two. B plus plus or S plus plus met three or more, meaning heavy volume, a rejection wick, a divergence and extreme magnitude arrived together. Those are the least frequent and the most selective. A classic mode toggle is included, which reverts the logic to the original strict rule set so you can compare the additional paths against the baseline on the same chart. SETTINGS GUIDANCE If signals feel too frequent for your instrument or timeframe, increase the stretch requirement first, then raise the adaptive percentile, then extend the cooldown. If they feel too rare, lower the percentile and shorten the stretch requirement. DISCLAIMER This script is published for educational and informational purposes only. It is not financial advice, investment advice, trading advice, or a recommendation to buy or sell any asset.
Indikator
oleh MonkeyPhone
Buy-Sell Signals using Multi-Logic Trading System 📈 Advanced Multi-Logic Trading System with Trend, Momentum, Breakout and Risk Management The **Buy-Sell Signals using Multi-Logic Trend, Momentum & Breakout System** is a multi-condition trading indicator designed to help traders identify structured trading opportunities across different market environments. Unlike a conventional indicator that depends on only one moving-average crossover or oscillator, Buy-sell with Multi-logic Trading Sytem combines: ✅ Market structure and EMA alignment ✅ Higher-timeframe trend confirmation ✅ Session VWAP positioning ✅ RSI and MACD momentum ✅ Bollinger Band positioning and volatility ✅ Volume expansion and OBV direction ✅ Range-breakout confirmation ✅ Sideways-market mean reversion ✅ Dynamic stop-loss and target calculations ✅ Signal management and cooldown controls The objective is not to produce the maximum number of signals. The objective is to filter market noise and highlight situations where multiple independent conditions support the same directional view. ━━━━━━━━━━━━━━━━━━━━ 🧠 How the Indicator Reads the Market Buy-sell with Multi-logic Trading Sytem continuously classifies the chart into one of four market conditions: 📈 BULLISH TREND A bullish trend is identified when: **Price > Fast EMA > Medium EMA > Slow EMA** With the default settings, this represents: **Price > EMA 20 > EMA 50 > EMA 200** This structure indicates that short-term, medium-term and long-term price positioning is aligned in the bullish direction. ------------------------------------------------ 📈 BEARISH TREND A bearish trend is identified when: **Price < Fast EMA < Medium EMA < Slow EMA** With the default settings: **Price < EMA 20 < EMA 50 < EMA 200** This indicates complete bearish alignment across the three trend layers. ------------------------------------------------ 📈 RANGE / SIDEWAYS The system studies the previous trading range over the selected Range Lookback. The current candle is excluded from this range calculation. This allows the indicator to identify a genuine close outside the previous range instead of comparing the breakout candle against a range that already includes it. A market is treated as sideways when: • The previous range width remains within the selected percentage threshold • Complete bullish EMA alignment is absent • Complete bearish EMA alignment is absent ------------------------------------------------ 📈 Transition The Transition condition appears when the market is neither properly trending nor qualifying as a defined range. This commonly happens when: • EMAs are crossing or compressing • Price repeatedly moves around the EMA ribbon • The previous trend is weakening • A new trend has not yet become established • Price is moving between range and trend conditions Transition is usually the least reliable environment for mechanical signals. ━━━━━━━━━━━━━━━━━━━━ ⚙️ The Four Entry Logic Engines Buy-sell with Multi-logic Trading System contains four separate entry engines. Each engine is designed for a different type of market behaviour. 📈 1. Trend-Following Logic Trend-following logic is designed to participate in an already established directional move. A bullish trend setup requires: • Bullish EMA alignment • Minimum bullish confluence score • Higher-timeframe bullish permission • Price above session VWAP A bearish trend setup requires the opposite conditions. 🔷 Bullish confluence score The bullish score contains six independent components: 1. Bullish EMA trend alignment 2. RSI positioned between 45 and 72 3. MACD above its signal line with a positive histogram 4. Price above the Bollinger Band basis 5. High volume with bullish OBV behaviour 6. A bullish candle closing above the previous structural swing high 🔷 Bearish confluence score The bearish score also contains six components: 1. Bearish EMA trend alignment 2. RSI positioned between 28 and 55 3. MACD below its signal line with a negative histogram 4. Price below the Bollinger Band basis 5. High volume with bearish OBV behaviour 6. A bearish candle closing below the previous structural swing low The **Minimum Trend Confluence** setting determines how many of these six conditions must agree. 🔷 When to use Trend-Following Logic 👉Use it when: • The EMA ribbon is properly expanded • Price is making higher highs and higher lows in an uptrend • Price is making lower highs and lower lows in a downtrend • Pullbacks are respecting the fast or medium EMA • Price is consistently holding on the correct side of VWAP • The higher-timeframe trend supports the trade direction 👉 When to avoid it Avoid relying on trend logic when: • EMAs are flat or repeatedly crossing • Price is trapped inside a narrow range • The market-condition card shows Transition • A signal appears directly below major resistance • A signal appears directly above major support • Price has already completed a large impulsive move without a pullback ━━━━━━━━━━━━━━━━━━━━ 📈 2. Momentum Logic Momentum logic is designed to detect acceleration before complete trend confluence becomes necessary. 🔷For bullish momentum, the indicator looks for: • Price above the fast EMA • RSI above 52 • Positive MACD histogram • MACD histogram increasing from the previous candle • Bullish OBV positioning • Volume confirmation when usable volume is available • Bullish higher-timeframe permission • Price above VWAP 🔷Bearish momentum uses the opposite conditions. Momentum logic can respond earlier than full trend logic because it does not require the complete EMA 20–50–200 alignment or the minimum six-part trend score. 👉 When to use Momentum Logic Momentum logic is most useful when: • Price is emerging from consolidation • A fresh intraday directional move is developing • Volume is expanding with price • MACD momentum is accelerating • Price has reclaimed or rejected VWAP decisively • A pullback is followed by renewed directional strength • The higher timeframe already supports the intended direction 👉 When to avoid it Avoid momentum entries when: • The momentum candle is unusually extended • Price is entering a major higher-timeframe supply or demand zone • Volume expansion is caused by a news spike • MACD is positive but price structure remains weak • Price repeatedly crosses VWAP • The chart has unreliable or unavailable volume data Momentum logic is especially dependent on meaningful volume and OBV behaviour. It is therefore generally better suited to liquid stocks, indices, futures and other actively traded instruments. ━━━━━━━━━━━━━━━━━━━━ 📈 3. Range-Breakout Logic The breakout engine is designed to identify confirmed movement outside a previously established range. It does not trigger merely because price trades a few ticks outside the range. A bullish breakout requires: • The previous market qualified as a range • Price closes above the previous range high • The close exceeds the range by the selected ATR buffer • The previous candle had not already closed above the range • The breakout candle closes strongly toward its high • RSI is above 50 • MACD is bullish • Volume confirms the move when available and required • Price is above VWAP The bearish breakout logic uses the opposite conditions. 🔷 Breakout Confirmation Buffer The ATR buffer prevents the system from treating a marginal move above or below the boundary as a valid breakout. A value of **0.15 ATR** means price must close beyond the range boundary by an additional 15% of the current ATR. Increasing this value creates fewer but more selective breakout signals. 🔷 Breakout Candle Close Position The candle must also close strongly in the breakout direction. With a value of **0.60**: • A bullish breakout candle must close in the upper 40% of its total range • A bearish breakout candle must close in the lower 40% of its total range This helps reject candles that break a level intrabar but leave a large rejection wick. 🔷 Important HTF behaviour The higher-timeframe EMA filter directly controls the Trend and Momentum engines. The Range-Breakout engine instead uses its own range, ATR, candle-strength, RSI, MACD, volume and VWAP confirmation. Therefore, traders should still manually inspect the higher-timeframe structure before accepting a breakout signal. 👉 When to use Breakout Logic Use breakout logic when: • Price has formed a clean and visible range • Range boundaries have been tested multiple times • Bollinger Band width has contracted before expansion • Volume increases during the breakout • The breakout candle closes outside the level • There is sufficient room before the next major structure • VWAP supports the breakout direction 👉 When to avoid it Avoid breakout entries when: • The range is poorly defined • Price is breaking directly into higher-timeframe resistance or support • The breakout candle leaves a large rejection wick • Volume is weak or declining • Price has already moved far beyond the range before entry • The breakout occurs during an irregular news candle • The range threshold is set too loosely and ordinary price movement is being classified as consolidation ━━━━━━━━━━━━━━━━━━━━ 📈 4. Sideways Mean-Reversion Logic Mean reversion is disabled by default because it represents a different trading philosophy from trend-following. Instead of expecting price to continue moving away from fair value, this engine looks for rejection near the outer areas of a sideways range. The range is divided into zones: • Lower reversion area near the bottom 20% of the range • Upper reversion area near the top 20% of the range A bullish mean-reversion setup requires: • Mean-reversion logic enabled • Market classified as sideways • Range sufficiently wide relative to ATR • Price testing the lower reversion zone • Price closing back above that zone • A bullish rejection candle • A sufficiently large lower wick • RSI below 38 • RSI turning upward when the RSI-turn filter is enabled • Volume permission A bearish mean-reversion setup requires the opposite conditions near the upper range zone, with RSI above 62 and turning downward. 🔷 Important Mean-Reversion Behaviour Mean-reversion trades are intentionally based on sideways-market rejection. They do not use the higher-timeframe trend or VWAP filter in the same way as the Trend and Momentum engines. This is logical because a range-fading trade may temporarily move against the prevailing higher-timeframe direction. However, it also means mean-reversion mode should be activated only when the trader has independently confirmed that the market is genuinely balanced and range-bound. 👉 When to use Mean Reversion Use it when: • The market has clear horizontal boundaries • EMA alignment is absent • Price repeatedly rejects both sides of the range • The range is wide enough to offer practical reward • RSI reaches an extreme and begins turning • The rejection candle closes back inside the range • No major breakout catalyst is expected 👉 When not to use it Disable mean reversion when: • The market is strongly trending • The EMA ribbon is expanding • Price is forming one-sided momentum candles • Volume is increasing near the range boundary • A breakout is supported by broader-market direction • Price is repeatedly pressing one boundary without meaningful rejection Repeated testing of one range boundary can represent pressure accumulation rather than a reversal opportunity. ━━━━━━━━━━━━━━━━━━━━ 🔍 Higher-Timeframe Trend Filter The higher-timeframe filter compares price with an EMA calculated on the selected higher timeframe. 👉When enabled: • Long Trend and Momentum setups require bullish HTF positioning • Short Trend and Momentum setups require bearish HTF positioning The higher-timeframe calculation is designed to use confirmed information rather than future-looking data. 🔷 Suggested timeframe combinations These are practical starting points and should be tested for each instrument: • 3-minute chart → 15-minute or 30-minute HTF • 5-minute chart → 30-minute or 60-minute HTF • 15-minute chart → 60-minute or 4-hour HTF • 30-minute chart → 4-hour HTF • 1-hour chart → 4-hour or Daily HTF • 4-hour chart → Daily or Weekly HTF A closer HTF produces more opportunities. A larger HTF produces fewer but more structurally selective opportunities. ━━━━━━━━━━━━━━━━━━━━ 📍 Session VWAP Filter VWAP acts as the indicator’s intraday fair-value reference. 👉When enabled: • Long Trend, Momentum and Breakout setups require price above VWAP • Short Trend, Momentum and Breakout setups require price below VWAP This reduces situations where a bullish technical setup appears below intraday fair value or a bearish setup appears above it. 👉Keep VWAP enabled when: • Trading intraday • Trading indices or liquid stocks • Trading momentum continuation • Trading opening-range or consolidation breakouts • Filtering counter-directional entries 👉 Consider disabling VWAP when: • Trading higher timeframes where session VWAP has less relevance • Trading instruments with irregular sessions • Testing a pure swing-trading model • Using another manually defined fair-value framework Disabling VWAP increases flexibility but may also increase counter-directional signals. ━━━━━━━━━━━━━━━━━━━━ 📊 Volume and OBV Confirmation The indicator compares current volume with its moving average. With the default multiplier of **1.5**, high volume means the current volume is at least 1.5 times the selected average volume. OBV is then compared with its own moving average to determine whether cumulative volume behaviour supports buyers or sellers. The system is designed so that missing volume does not automatically block every setup. However, symbols with reliable exchange volume are preferred, particularly when using Momentum Logic. 🔷 Volume Multiplier Interpretation • 1.20–1.40: More responsive, but more noise • 1.50: Balanced default • 1.70–2.00: Strong expansion required • Above 2.00: Very selective and mainly suited to exceptional participation ━━━━━━━━━━━━━━━━━━━━ 🛡️ Stop-Loss and Target Engine Every confirmed signal creates an active entry, stop-loss and target. The indicator provides three stop-loss methods. 🔷 Structure + ATR 👉For a long trade: The stop is placed below the previous structural swing low with an additional ATR buffer. 👉For a short trade: The stop is placed above the previous structural swing high with an ATR buffer. This is generally the preferred method for price-action and structure-based trading. 🔷ATR Stop The stop is calculated using a fixed ATR multiple from the entry. This method adapts to current volatility without depending on the location of a previous swing. It can be useful for: • Momentum setups • Instruments with irregular swing structures • Fast-moving markets • Systematic risk standardisation 🔷 Fixed Percentage Stop The stop is placed at a fixed percentage from entry. This is simple but does not adjust to changing volatility. It should be used carefully because the same percentage may be too tight in a volatile market and unnecessarily wide in a quiet market. ━━━━━━━━━━━━━━━━━━━━ 📈 Target Methods 🔷Risk-to-Reward Target The target is calculated from the actual distance between entry and stop. With a 1.5 risk-to-reward ratio, the target is 1.5 times the defined trade risk. 🔷 ATR Target The target is positioned at a selected ATR multiple from entry. This can be useful for momentum trades where price expansion is expected. 🔷 Fixed Percentage Target The target is placed at a fixed percentage from entry. This is straightforward but less adaptive than ATR or structure-based calculations. ━━━━━━━━━━━━━━━━━━━━ 🎯 Preferred Risk Settings 🔷 Structure-Based Intraday Trading • Stop Method: Structure + ATR • Structure ATR Buffer: 0.15–0.25 • Target Method: Risk:Reward • Risk:Reward: 1.5–2.0 🔷 Momentum Trading • Stop Method: ATR • Stop ATR Multiplier: 1.2–1.8 • Target Method: ATR or Risk:Reward • Target ATR Multiplier: 2.0–3.0 🔷 Swing Trading • Stop Method: Structure + ATR • Swing Lookback: 10–20 • Structure ATR Buffer: 0.20–0.40 • Target Method: Risk:Reward • Risk:Reward: 1.5–2.5 🔷 Mean-Reversion Trading • Stop Method: Structure + ATR or ATR • Use a stop beyond the rejected range boundary • Avoid excessively wide targets • Consider the opposite side or midpoint of the range as practical structure These values are starting points, not universal settings. Different instruments have different volatility and structural characteristics. ━━━━━━━━━━━━━━━━━━━━ 🚦 Signal-Control System Buy-sell with Multi-logic Trading System includes several controls to prevent repeated or conflicting signals. 👉 Minimum Bars Between Signals The cooldown prevents the indicator from producing another signal immediately after the previous one. Default: **5 bars** Lower values create more frequent signals. Higher values reduce repeated entries during the same move. 👉 Fresh Setup Only When enabled, a signal appears only when the complete setup changes from false to true. It prevents the indicator from repeatedly signalling on every candle while the same condition remains active. This should normally remain enabled. 👉 Wait for SL or Target Before Next Signal When enabled, the indicator waits for the active stop or target to be touched before accepting another trade. This creates a cleaner one-trade-at-a-time workflow. It is the preferred setting for discretionary traders and alert-based execution. 👉 Allow Opposite Signal This setting becomes relevant when “Wait for SL/Target” is disabled. It determines whether an opposite signal can replace the current directional trade before the original levels are completed. ━━━━━━━━━━━━━━━━━━━━ ✨ Visual Features 3D Gradient Trend Ribbon Glow Buy and Sell Markers Signals are generated after the chart candle is confirmed. Entry Beam 3D Risk and Reward Zones VWAP Glow Line Gradient Candle Coloring ━━━━━━━━━━━━━━━━━━━━ 📋 Dashboard Explained The dashboard provides a summary of current chart conditions. Market Condition Bull Score and Bear Score RSI ATR Percentage Volume Ratio Bollinger Band Width HTF Trend VWAP Active Trade SL / TP Win Rate The dashboard win rate is an internal chart-touch statistic based on whether displayed targets or stops were reached. For reliable validation, traders should independently review historical trades and conduct proper testing. ━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Features Buy-sell with Multi-logic Trading System provides alert conditions for: • Confirmed BUY signal • Confirmed SELL signal • Active stop-loss touched • Active target touched Dynamic BUY and SELL alerts can also include: • Symbol • Entry price • Stop-loss • Target price Signals and dynamic alerts are generated once per confirmed candle close. For TradingView alerts, select the indicator and choose the required alert condition. ━━━━━━━━━━━━━━━━━━━━ 📌 Preferred Logic According to Market View 👉 Strong Bullish Market Recommended: • Trend Logic: ON • Momentum Logic: ON • Breakout Logic: Optional • Mean Reversion: OFF • HTF Filter: ON • VWAP Filter: ON • Minimum Confluence: 4 or 5 Focus mainly on long signals, pullbacks and bullish consolidation breakouts. 👉Strong Bearish Market Recommended: • Trend Logic: ON • Momentum Logic: ON • Breakout Logic: Optional • Mean Reversion: OFF • HTF Filter: ON • VWAP Filter: ON • Minimum Confluence: 4 or 5 Focus mainly on short signals, failed recoveries and bearish range breakdowns. 👉 Developing Trend Recommended: • Trend Logic: ON • Momentum Logic: ON • Breakout Logic: ON • Mean Reversion: OFF • Minimum Confluence: 4 • Breakout Buffer: 0.10–0.20 ATR Momentum or breakout logic may identify the move before complete EMA alignment develops. 👉 Established Trend Recommended: • Trend Logic: ON • Momentum Logic: Optional • Breakout Logic: Optional • Mean Reversion: OFF • Minimum Confluence: 4–5 • Structure + ATR stop Look for continuation after controlled pullbacks rather than chasing extended candles. 👉 Clean Sideways Range Recommended: • Trend Logic: OFF or used cautiously • Momentum Logic: OFF • Breakout Logic: ON • Mean Reversion: ON only for confirmed range rejection • RSI Turn Requirement: ON • Reversion Wick Ratio: 0.35–0.50 Use either range fading or breakout trading according to price behaviour—but avoid treating both as equally valid at the same moment. 👉 Transition or Choppy Market Recommended: • Increase Minimum Confluence • Increase cooldown bars • Use HTF and VWAP filters • Keep Mean Reversion OFF unless a clear range forms • Wait for structure to become clearer Sometimes the best setting in a Transition market is simply to avoid trading. ━━━━━━━━━━━━━━━━━━━━ 🧩 Suggested Presets 🔶 Balanced Intraday — 5 or 15 Minutes • EMA: 20 / 50 / 200 • HTF: 60 minutes • HTF Filter: ON • VWAP Filter: ON • Trend Logic: ON • Momentum Logic: ON • Breakout Logic: ON • Mean Reversion: OFF • Minimum Confluence: 4 • Volume Multiplier: 1.5 • Breakout Buffer: 0.15 ATR • Breakout Close Position: 0.60 • Stop: Structure + ATR • Target: 1.5 Risk:Reward • Cooldown: 5 bars • Fresh Setup Only: ON • Wait for Exit: ON 🔶 Precision Intraday • HTF Filter: ON • VWAP Filter: ON • Minimum Confluence: 5 • Volume Multiplier: 1.7–2.0 • Breakout Buffer: 0.20–0.30 ATR • Breakout Close Position: 0.70–0.80 • Fresh Setup Only: ON • Wait for Exit: ON This preset produces fewer signals but demands stronger confirmation. 🔶 Fast Momentum Trading • Trend Logic: Optional • Momentum Logic: ON • Breakout Logic: ON • Mean Reversion: OFF • HTF Filter: ON • VWAP Filter: ON • Volume Multiplier: 1.3–1.5 • Cooldown: 2–4 bars • Stop: ATR • Target: ATR or Risk:Reward Fast settings should only be used on liquid instruments because they are more sensitive to lower-timeframe noise. 🔶 Range-Breakout Trading • Trend Logic: Optional • Momentum Logic: Optional • Breakout Logic: ON • Mean Reversion: OFF • Breakout Buffer: 0.15–0.30 ATR • Close Position: 0.65–0.80 • Require Breakout Volume: ON • Volume Multiplier: 1.5–2.0 • VWAP Filter: ON Manually confirm that sufficient space exists beyond the range. 🔶 Sideways Mean Reversion • Trend Logic: OFF • Momentum Logic: OFF • Breakout Logic: Optional • Mean Reversion: ON • Minimum Range Width: 1.0–1.5 ATR • Rejection Wick Ratio: 0.35–0.50 • RSI Turn Requirement: ON • Fresh Setup Only: ON • Wait for Exit: ON Do not use this preset when the range boundary is being attacked with expanding volume. 🔶 Swing Trading — 1 Hour or 4 Hours • EMA: 20 / 50 / 200 • HTF: 4 Hour, Daily or Weekly • HTF Filter: ON • VWAP Filter: Optional • Trend Logic: ON • Momentum Logic: ON • Breakout Logic: ON • Mean Reversion: Usually OFF • Minimum Confluence: 4–5 • Swing Lookback: 10–20 • Stop: Structure + ATR • Target: Risk:Reward • Risk:Reward: 1.5–2.5 • Cooldown: 3–5 bars ━━━━━━━━━━━━━━━━━━━━ ⛔ When Not to Use the Indicator Avoid taking signals mechanically when: • The market-condition card shows an unstable Transition phase • Price is moving inside a very narrow and noisy area • A signal is directly facing major higher-timeframe structure • Price is highly extended from the EMA ribbon or VWAP • The signal candle is abnormally large • A major economic event is creating unpredictable volatility • The selected instrument is illiquid • Volume data is unreliable • Bid–ask spreads are unusually wide • The chart timeframe is too low for the instrument • There is insufficient reward before the next support or resistance • The stop required by structure is larger than the trader’s permitted risk A technically valid signal is not automatically a good trade. Location, liquidity, market context and risk remain essential. ━━━━━━━━━━━━━━━━━━━━ ✅ Recommended Trading Workflow Step 1 : Identify the market condition Determine whether the chart is trending, ranging or transitioning. Step 2 : Check the higher timeframe Confirm the broader directional structure before using Trend or Momentum signals. Step 3 : Check VWAP location For intraday trading, prefer longs above VWAP and shorts below VWAP. Step 4 : Read the dashboard Compare: • Bull and Bear scores • RSI • ATR percentage • Volume ratio • Bollinger Band width • Higher-timeframe trend Step 5 : Identify which logic suits the market Do not use mean reversion in a strong trend. Do not depend only on trend logic in an unstructured range. Step 6 : Check trade location Identify nearby support, resistance, previous-day levels, liquidity zones and higher-timeframe structure. Step 7 : Evaluate risk Check whether the displayed stop is logically placed and whether sufficient reward is available. Step 8 : Wait for candle confirmation Avoid anticipating a signal before the candle closes. ━━━━━━━━━━━━━━━━━━━━ ⚠️ Important Notes Buy-sell with Multi-logic Trading System is a decision-support indicator, not an automatic guarantee of profitable trades. The indicator does not know: • Your account size • Your maximum permitted risk • Whether a market-moving announcement is approaching • Whether a nearby level is personally significant to your analysis • Whether an option contract has suitable liquidity, delta or implied volatility • Whether the displayed trade fits your trading plan When several logic engines are enabled together, a BUY or SELL signal can originate from Trend, Momentum, Breakout or Mean-Reversion conditions. The current signal marker does not separately label which internal engine generated it. The market condition, dashboard and surrounding price action should therefore be used to interpret the setup. Always test the indicator on the intended market and timeframe before using it in live trading. ━━━━━━━━━━━━━━━━━━━━ 📈 Final Perspective Buy-sell with Multi-logic Trading System is designed around one central idea: **Trade according to the current market regime instead of forcing the same strategy into every market.** Use Trend Logic when structure is aligned. Use Momentum Logic when participation and acceleration are increasing. Use Breakout Logic when price is escaping a well-defined range with confirmation. Use Mean Reversion only when the market is genuinely balanced and rejecting its boundaries. The indicator can organise information, filter conditions and define structured risk—but disciplined execution, position sizing and market awareness remain the trader’s responsibility. ------------------------------------------------ **Educational use only. This indicator does not provide financial advice or guarantee future results.**
Indikator
oleh InvestyourAsset
1
Order Block Engine [JOAT]═══ ORDER BLOCK ENGINE ═══ Most order-block tools paint a fresh box on every candle and bury the chart. This one does the opposite. It only marks the last opposing-close candle that appears just before a genuine displacement leg — a move that closes through a confirmed swing by more than a volatility-scaled threshold, backed by a volume expansion. The result: only a handful of clean, unmitigated, high-grade zones survive on screen at once. ▎ WHAT IT DOES It maps institutional-style order blocks, grades each one from 0 to 10 by ★ quality, extends the surviving zones to the right until price mitigates them, and fires a single clean BUY / SELL pill on a valid retest + reaction — complete with an R-multiple TP/SL zone construct. A grey/white and blue-chrome dashboard keeps the running read of structure, bias and zone quality in one corner. ▎ HOW IT WORKS — Confirmed swing structure. Pivot highs and lows are tracked with a configurable lookback. Each swing stays "unbroken" until price genuinely closes through it. — Displacement break. A bullish break needs an up-close candle that closes above the last swing high by more than Displacement × ATR ; a bearish break mirrors it below the swing low. ATR scaling means the threshold self-adjusts to any asset or timeframe. — Volume confirmation. The breaking candle's volume must exceed its own moving-average baseline by the chosen multiplier. On symbols with no volume feed, this filter auto-skips. — Order-block selection. Once a break is confirmed, the engine walks back through recent bars to find the last opposing-close candle — the down-close before a bullish break, or the up-close before a bearish break. That candle's high/low becomes the zone. — ★ Grade (0-10). Each block is scored on three factors: how far the break displaced (in ATR), how strong the volume expansion was, and the body-to-range ratio of the origin candle. The composite maps to a 0-10 grade and a tier (WEAK → FAIR → SOLID → STRONG → ELITE). — Mitigation & signals. Live zones extend right on each bar. If price closes fully through a zone, it is mitigated — frozen and greyed (or deleted). If instead price wicks back into the zone and the bar reacts back out with a close in the right direction, and the block's grade clears your minimum, a BUY / SELL signal fires. One signal per bar, longs take priority. — Trade construct. On a signal the engine builds an entry line at close, a stop a buffer beyond the zone edge (× ATR), and TP1 / TP2 at your chosen R multiples — drawn as green TARGET and red RISK zone boxes that extend, then freeze when SL or TP2 is touched. ▎ HOW TO USE IT — Treat the surviving zones as decision areas , not guarantees. A blue zone is a bullish order block; a slate zone is bearish. The ★ tag shows its grade at a glance. — Wait for price to return into a zone. The engine only signals on a retest + reaction , so you are not chasing the initial impulse. — Use the BUY / SELL pill's grade (e.g. ★★★★ 7.8/10) as a confidence read — higher grades reflect stronger displacement, volume and candle body. — The TARGET ZONE and RISK ZONE boxes frame reward against risk before you commit. Entry, SL, TP1 and TP2 are all labelled with their R multiples. — Grey zones are spent — they have already been mitigated and are kept only as context for prior structure. — Combine with your own higher-timeframe bias; order blocks aligned with trend tend to be the cleaner reactions. ▎ KEY SETTINGS — Engine: ATR length, structure pivot width, displacement break multiple, OB candle search depth, and bull/bear toggles. — Filters: volume expansion on/off with baseline length and multiplier, minimum grade required to signal, and confirm-on-close to avoid intrabar repaint. — Zones: show zones, max zones kept (4-6 recommended), extension length, fill transparency, ★ grade labels, keep-mitigated-grey toggle, and bull/bear colours. — Signals & Risk: show BUY/SELL pills, draw TP/SL zone, stop buffer (× ATR), TP1 and TP2 R multiples, projection length, and max trade sets kept. — Extras: optional zone-reader candle tinting and an optional VWAP + σ band. ▎ DASHBOARD A compact panel (five positions, three text sizes) reports: current Bias , count of live Bullish and Bearish OBs, the Nearest zone level and its distance in %, the Strongest zone's grade and tier, the Last Mitigated zone, the Active Signal state, and running Signal and Trade W/L tallies. The W/L count is an illustrative record of how the historical construct resolved — not a performance promise. ▎ ALERTS — OB Bullish Signal — fires on a bullish order-block retest + reaction. — OB Bearish Signal — fires on a bearish order-block retest + reaction. Both include ticker and interval in the message. ▎ NOTES — Works on all timeframes and all assets ; ATR and volume baselines adapt automatically. — Confirm On Bar Close evaluates detection, mitigation and signals on closed bars only, so confirmed signals do not repaint. — Everything is toggleable — zones, grades, pills, trade boxes, candles, VWAP and dashboard — for a chart as clean or as detailed as you like. — The volume filter self-disables on feeds without volume, so nothing breaks on those symbols. For research and education only. This is not financial advice. No indicator can predict the future, and past behaviour never guarantees future results. Always do your own analysis and manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
3
Market Structure Shift [JOAT]═══ MARKET STRUCTURE SHIFT ═══ A complete Smart Money Concepts structure engine that reads the market the way institutional flow moves it — mapping every swing and internal shift, tagging each break as BOS (continuation) or CHoCH (reversal), then layering liquidity, premium/discount context, and a structure-anchored risk plan on top. It turns raw price action into a clean, labelled map of who is in control and where the shift happens. ▎ WHAT IT DOES MSS tracks confirmed pivots and runs them through a two-layer structure state machine. When price closes (or wicks) beyond a protective swing, it draws the break line, labels it BOS or CHoCH, and updates the live trend state. Around that skeleton it adds equal-high/low liquidity marks, a premium/discount/equilibrium range map, an optional structure-anchored SL and Reward:Risk target zone, session VWAP with deviation bands, and a live dashboard summarising the whole picture. ▎ HOW IT WORKS • Confirmed pivots — swing highs/lows are detected with a symmetric pivot length (bars each side), so a pivot only prints once fully confirmed. A separate, shorter internal pivot length tracks a faster inner structure layer. • BOS vs CHoCH logic — each layer holds a trend state (bull / bear / range). A bullish break of the last swing high while the state is already bullish is a BOS (continuation); a bullish break while the state was bearish is a CHoCH (change of character / first reversal). The mirror logic applies to bearish breaks. • Break confirmation — you choose whether a candle must close beyond the level (cleaner) or whether any wick penetration counts. • Sequence read — every new pivot is classified HH / LH / HL / LL (or EQ) so you can see the higher-high / lower-low rhythm at a glance. • Liquidity (EQH/EQL) — two consecutive pivots landing within an ATR-scaled tolerance are marked as Equal Highs or Equal Lows — resting liquidity pools where stops cluster. • Premium / Discount — the active swing range is split into a Premium (upper) zone, a neutral Equilibrium band around the midpoint, and a Discount (lower) zone, so you always know which half of the range price is trading in. • Structure-anchored risk — on a fresh signal the stop is placed just beyond the swing that would invalidate the shift (plus an ATR buffer), or by a fixed ATR distance. Risk is floored and capped by ATR, and the target is projected at your Reward:Risk multiple. • VWAP magnet — session-anchored VWAP with inner and outer standard-deviation bands acts as the fair-value reference the structure tends to rotate around. • ATR normalisation — label spacing, liquidity tolerance and stop distances all scale with ATR, so the tool behaves consistently across assets and timeframes. ▎ HOW TO USE IT • Read the trend state first: a CHoCH warns the prevailing structure has broken; a following BOS confirms the new leg. Trade with the higher-conviction swing layer and use internal breaks for earlier, finer entries. • BUY / SELL labels fire on the events you enable (CHoCH, BOS, or both) from your chosen layer — treat them as a structure trigger, not a blind entry. • Favour longs from the Discount zone and shorts from the Premium zone; the Equilibrium band is neutral / no-man's-land. • EQH/EQL marks show where liquidity rests — price often sweeps these before a genuine shift, so use them as targets and as traps to avoid. • When a signal prints, the RISK ZONE (entry→stop, red) and TARGET ZONE (entry→TP, green) boxes project the plan; the SL and TP lines carry exact price and R labels. The zones extend live, then freeze once TP, SL, or the time-out is reached. • Use VWAP and its bands as confluence — a shift back through VWAP into the opposite σ band is a common rotation target. ▎ KEY SETTINGS • Structure Engine — swing pivot length, optional internal layer + its length, close/wick break confirmation, ATR length. • Signals — signal source (Swing / Internal / both) and whether labels fire on CHoCH, BOS, or both. • Liquidity & Zones — toggle EQH/EQL, equal-level tolerance, premium/discount zones, equilibrium band width, and the floating price-zone tag. • Risk Model — stop basis (Structure+Buffer or ATR Multiple), buffer/ATR distance, Reward:Risk multiple, min/max risk floors and caps, projection length, max drawn setups. • VWAP — show VWAP, inner/outer σ multiples, deviation lookback. • Visuals — swing/internal break display, pivot markers, zone candle colouring, draw limits, and the blue/violet colour scheme. ▎ DASHBOARD A compact blue/violet panel reports live: overall Trend , the Last Event (Bull/Bear BOS or CHoCH), the current Swing Sequence (e.g. HH · HL), the Internal structure state, the active Price Zone , running BOS and CHoCH counts, Liquidity (EQH/EQL) count, the current Signal , and the symbol/timeframe. Position and text size are adjustable. ▎ ALERTS Six alertconditions are provided: Bullish BOS, Bearish BOS, Bullish CHoCH, Bearish CHoCH, BUY Signal, and SELL Signal — each with a ready message carrying ticker and interval. ▎ NOTES • Works on all timeframes and all assets — everything scales with ATR. • Pivots are confirmed (they need bars to close each side), so structure marks are non-repainting once printed; the price-zone label and dashboard update live on the last bar as expected. • Every visual layer has a toggle — turn off what you don't need for a clean chart. • Signals never fire both directions on the same bar; a conflicting wide-range bar is dropped. For research and education only. This is not financial advice. No indicator can predict the future, and past behaviour does not guarantee future results. Any labels, zones, or counts describe historical price action only. Always do your own analysis and manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
Reactive Trail System [WillyAlgoTrader]📊 Reactive Trail System (RTS) is an overlay trend-following indicator that combines a momentum-adaptive trailing stop, a dual volatility engine, a 0–100 signal quality score, and a complete trade-management layer (Entry / SL / TP1–TP3 / break-even) — all tracked live on a sectioned dashboard with win-rate statistics. The core insight: a trailing stop should not have a fixed width. When momentum is strong, price moves cleanly and the trail can hug price to lock in profit. When momentum fades, price gets noisy and the trail must widen to survive the chop. RTS measures momentum every bar and reshapes the trail width automatically — up to 40% tighter in strong moves — so one setting adapts to changing conditions instead of being permanently too tight or too loose. If you are new to trailing stops: think of the trail as a colored line that follows price from below in an uptrend (green) and from above in a downtrend (red). As long as price stays on the right side of the line, the trend is alive. When price closes through the line, the trend flips — and RTS turns that flip into a fully managed trade idea with a stop-loss and three targets drawn on the chart for you. Works on all markets (crypto, forex, stocks, indices, commodities) and all timeframes. 🧩 WHY THESE COMPONENTS WORK TOGETHER A classic supertrend-style trail has three chronic problems. First, its width is fixed — the same multiplier that protects you in chop gives back too much profit in a strong trend. Second, a raw trail flip says nothing about signal quality — a flip in dead, low-volume conditions looks identical to a flip with real participation. Third, a flip is not a trade — you still have to decide where the stop goes, where the targets go, and when to move to break-even. RTS solves all three with one integrated pipeline: Baseline MA (6 engines) → Dual volatility measure (ATR + StDev) → RSI momentum engine → Adaptive trail width → Ratcheting trail state machine → HTF bias + volume filters → 0–100 signal score → Wick-anchored SL + TP1/TP2/TP3 → Break-even automation → Trade outcome statistics The baseline MA defines the anchor the trail hangs from. The volatility engine defines the raw distance. The RSI momentum engine then compresses that distance when momentum is strong — this is what makes the trail "reactive" rather than static. The ratcheting state machine guarantees the trail only ever tightens in the trade's favor (it never backs away from price). The HTF and volume filters decide whether a flip is allowed to become a trade. The scoring engine grades every entry so you can tell an A-setup from a C-setup at a glance. The risk engine converts the signal into concrete levels anchored to real market structure (the signal bar's wick), and the trade engine tracks every touch, break-even move, stop-out and reversal — feeding honest statistics back to the dashboard. Remove any link and the chain breaks: without momentum adaptation the trail is just another supertrend; without filters every flip fires; without the wick-anchored stop the levels ignore structure; without outcome tracking you never learn how the system actually behaves on your market. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Momentum-adaptive trail width — the trail breathes with the market. Instead of a fixed multiplier, RTS computes a momentum distance from the smoothed RSI and uses it to compress the trail: — momDist = min(|RSI_smoothed − 50| / 50, 1.0) — 0 means dead-center momentum, 1 means extreme — effectiveMultiplier = TrailMultiplier × (1 − Adaptivity × momDist × 0.4) — trailOffset = volatility × effectiveMultiplier With default Trail Multiplier 2.0 and Adaptivity 1.0, the trail runs at full width in neutral conditions and tightens by up to 40% when RSI pushes toward extremes. Set Adaptivity to 0 and you get a classic fixed-width trail; the default 1.0 gives maximum adaptation. RSI length 13 with EMA smoothing 3 keeps the width changes calm instead of jittery. Why this matters: strong momentum = clean price movement = you can afford a tight trail that protects open profit. Weak momentum = noise = the trail widens automatically so you don't get shaken out. 2️⃣ Dual volatility engine — ATR, StDev, or a stabilized Hybrid. Trail distance can be measured three ways (Volatility Length default 13): — ATR: classic bar-range volatility — StDev: close-to-close dispersion — Hybrid (default): (ATR + StDev) / 2 ATR reacts to wicks and gaps; StDev reacts to closing dispersion. Averaging them dampens the weakness of each — a single wild wick inflates ATR but barely moves StDev, so the Hybrid stays stable where a pure-ATR trail would suddenly balloon. 3️⃣ Six baseline engines including KAMA and T3 — with a volume-safety fallback. The trail anchors to a baseline MA selectable from HMA, ALMA (default, length 21), KAMA, T3, VWMA and EMA. KAMA and T3 are computed from their full formulas internally (Kaufman efficiency-ratio smoothing constant sc = (ER × (fast − slow) + slow)², and Tillson's six-stage EMA cascade with a = 0.7). If you pick VWMA on an instrument whose data feed reports no volume (common on some forex feeds), RTS silently falls back to EMA instead of plotting garbage. 4️⃣ Ratcheting trail state machine — the stop never retreats. In a bull regime the trail is trail = max(previous trail, baseline − offset): it can only rise. In a bear regime it can only fall. A flip requires a full bar close beyond the trail — intrabar wicks through the line do not flip the trend. This one-way ratchet is what makes the line usable as an actual trailing stop rather than a wavy band. 5️⃣ Non-repainting HTF bias filter. Optional filter: longs only when the higher timeframe (default 240 = 4H) closes above its 50 EMA, shorts only below. The HTF request uses the last closed HTF bar (index with lookahead), so the bias never changes retroactively — what you see in a live chart is what a backtest would have seen. 6️⃣ Signal quality score 0–100 — every entry is graded, not just fired. Each entry gets a transparent confluence score: — Momentum component (0–40): min(momDist / 0.6, 1) × 40 — Volume component (0–30): participation vs the 20-bar volume SMA, clamped; fixed 15 when the feed has no volume — HTF alignment (10 or 30): 30 when the higher timeframe agrees with the trade direction, 10 when it doesn't The score is shown in the BUY/SELL label tooltip, in the dashboard "Last signal" row, and in every entry alert. A 90-score long (strong momentum, heavy volume, HTF agrees) and a 45-score long are both valid flips — but you instantly know which one deserves full size. 7️⃣ Wick-anchored stop-loss — structure-aware risk, not a blind ATR offset. Default SL mode anchors the stop to the signal bar's actual wick: — Long SL = min(low − 0.25 × ATR, close − 0.5 × ATR) — Short SL = max(high + 0.25 × ATR, close + 0.5 × ATR) The 0.25 × ATR buffer sits the stop just beyond the wick (where stop-hunts reach), and the 0.5 × ATR minimum distance prevents absurdly tight stops on small-bodied signal bars. A classic fixed ATR mode (SL = entry ± multiplier × ATR, ATR length 14) is available too. Targets are pure R-multiples of the actual risk: TP = entry ± risk × multiplier. Four one-click risk presets: Conservative (SL 2.5×ATR, TP 1R/2R/4R), Balanced (default: 1.5×ATR, 1R/2R/3R), Aggressive (1.0×ATR, 1.5R/2.5R/4R), Scalping (0.8×ATR, 0.8R/1.5R/2R), plus a fully manual Custom preset with input validation (TP1 < TP2 < TP3 enforced). 8️⃣ Full trade lifecycle engine with honest intrabar rules. RTS doesn't just draw levels — it tracks the trade like a journal: — Hits are checked only on confirmed bars, and never on the entry bar itself (entry-bar guard) — TP-priority model: if a bar touches both a TP and the SL, the TP touch registers first (this optimistic assumption is disclosed right in the dashboard tooltip) — Break-even automation: once TP1 is touched, the stop moves to entry; a BE moved this bar cannot stop you out on the same bar — Opposite confirmed signal reverses the position (closes the old trade, opens the new one) — Win definition is fixed and transparent: a trade counts as a WIN once TP1 has been touched (TP3 close, BE stop-out after TP1, or reversal after TP1); closed before TP1 = loss 9️⃣ Persistent trade visualization. Entry (subtle dotted), SL (solid, prominent) and TP1/TP2/TP3 (dashed) lines extend with the live trade. When a TP is touched, its line turns solid teal with a ✓ on the label. When break-even activates, the original SL line dims to a record and the entry label is annotated "→ SL (BE)". After the trade closes, the drawing persists as a record until the next entry replaces it — you can scroll back and see exactly how each trade resolved. 🔟 Dashboard 2.0 with period-filtered statistics. A sectioned panel (Market / Trade / Stats — each toggleable, position and font size configurable): — Market: trend direction, trend age in bars, HTF bias, smoothed RSI, last signal with score and bars-ago — Trade: entry, SL (with "BE @" marker), TP1–TP3 with ✓ checkmarks, R:R at TP1, SL distance in % — collapses to one row when flat — Stats: closed trades, wins, losses, win rate with a ▰▱ gauge, and a "Form" strip of the last 10 results The win-rate window is selectable: last 24 Hours, last 30 Days, or All-Time — computed from timestamped trade closures kept in a rolling 31-day buffer. Statistics reset on chart reload, and this is disclosed directly in the dashboard tooltips. 📖 HOW IT WORKS — CALCULATION FLOW Step 1 — Baseline: the selected MA engine (ALMA 21 by default) is computed as the trail anchor. Step 2 — Volatility: ATR and StDev over 13 bars are combined per the selected engine into one volatility measure. Step 3 — Momentum: RSI(13) is EMA-smoothed(3); its distance from 50 (normalized 0–1) compresses the trail multiplier by up to 40%. Step 4 — Trail update: the ratcheting state machine raises the trail in bull regimes / lowers it in bear regimes; a confirmed close through the trail flips the regime. Step 5 — Filtering: the flip becomes an entry signal only if it passes the optional HTF bias and volume-confirmation filters, on a confirmed bar, after the warm-up period. Step 6 — Scoring: the entry is graded 0–100 from momentum, volume participation and HTF alignment. Step 7 — Risk placement: SL is anchored to the signal bar's wick (or fixed ATR), TP1–TP3 are projected as R-multiples of the actual risk per the active preset. Step 8 — Trade tracking: every confirmed bar is checked for TP touches, break-even activation, stop-out or reversal; outcomes update the win/loss statistics and the Form strip. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator to your chart. Defaults (ALMA 21, Hybrid volatility, Balanced preset) are ready to use. 2. Wait for a ▲ BUY or ▼ SELL label — hover it to see the score, RSI, SL and TP1. 3. Check the dashboard: score of the last signal, HTF bias, and current R:R. 4. Prefer high-score signals (70+) where the HTF bias agrees with the trade direction. 5. Manage by the drawn levels: partial at TP1 (stop moves to break-even automatically), remainder toward TP2/TP3 or until the trail flips. 👁️ Reading the chart: — 🟢 Green trail line below price = bull regime; it can only rise — 🔴 Red trail line above price = bear regime; it can only fall — ▲ BUY / ▼ SELL labels = filtered, confirmed entries (tooltip shows score and levels) — Dotted line = entry reference · solid red = stop-loss · dashed green = TP1/TP2/TP3 — Teal solid TP line with ✓ = target reached · dimmed SL + "→ SL (BE)" = stop moved to entry — Optional: soft trend fill between trail and baseline, and regime-colored candles 📊 Dashboard fields: — Trend / Age: current regime and bars since the last flip — HTF Bias: higher-timeframe direction (Off when the filter is disabled) — RSI: the smoothed momentum value driving trail width — Last signal: direction · score (bars ago) — Entry / SL / TP1–TP3 / R:R / SL Dist: full live trade card — Trades / Wins / Losses / Win rate: statistics for the selected period (24H / 30D / All-Time) — Form: last 10 results, ▰ = win, ▱ = loss, newest on the right 🔧 Tuning guide: — Too many flips / whipsaws: raise Trail Multiplier toward 2.5–3.0, raise Baseline Length toward 34–55, or enable the HTF Bias Filter — Exits feel too late: lower Trail Multiplier toward 1.8, or keep Adaptivity at 1.0 so strong momentum tightens the trail — Trail width feels jumpy: lower Momentum Adaptivity to 0.4–0.6 or raise Momentum Smoothing to 5–8 — Too few signals: disable the volume filter, or shorten Baseline Length toward 13–21 — Stops too tight on your market: switch the preset to Conservative, or use ATR mode with a higher SL multiplier — Scalping lower timeframes: Scalping preset + Volatility Length 10 + consider HMA baseline ⚙️ KEY SETTINGS ⚙️ Main: — Baseline MA Type (default ALMA): trail anchor engine — HMA / ALMA / KAMA / T3 / VWMA / EMA — Baseline Length (default 21): higher = smoother, fewer flips — Momentum (RSI) Length (default 13) and Smoothing (default 3): the adaptive-width driver — Volatility Engine (default Hybrid) and Length (default 13) — Trail Multiplier (default 2.0): base trail distance in volatility units — Momentum Adaptivity (default 1.0): 0 = fixed width, 1 = up to 40% tightening 🔍 Filters: — HTF Bias Filter (default off) + Higher Timeframe (default 240): trade only with the bigger trend — Volume Confirmation (default off) + Threshold (default 1.2 × SMA20): require real participation; auto-bypassed on no-volume feeds 🛡️ Risk Management: — Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom — SL Mode (default Wick-Anchored): structure-based stop or fixed ATR — ATR Length (default 14), SL / TP1 / TP2 / TP3 multipliers (Custom preset) — Break-Even After TP1 (default on) — SL/TP lines, labels, % distance and per-line styles are all configurable 🎨 Visual: — Theme Auto / Dark / Light (auto-detects chart background), trail / baseline / fill / labels / candle-coloring toggles, font sizes, bull & bear colors 📊 Dashboard: — Show/hide the panel and each section, position (4 corners), font size, Win Rate Period (24 Hours / 30 Days / All-Time) 🔔 ALERTS — 🟢 LONG / 🔴 SHORT — entry with price, SL, TP1–TP3, R:R and score; plain text or JSON webhook payload for bot integration — 🎯 TP1 HIT / 🎯🎯 TP2 HIT — target touches — 🏆 TP3 HIT — final target, trade closed — 🛑 SL HIT / 🛡️ BE STOP-OUT — stop-outs with entry and stop price — 🛡️ BREAK-EVEN — stop moved to entry after TP1 — 🔄 REVERSAL — opposite signal closed the trade and opened the other direction — ▲ / ▼ FLIP (optional, informational) — trail flipped but the entry was blocked by filters All alerts fire once per confirmed bar close. Set up a single alert with "Any alert() function call" and toggle the categories you want in the settings. ⚠️ IMPORTANT NOTES — 🚫 No repainting. Signals require barstate.isconfirmed; a flip needs a full bar close through the trail; the HTF filter reads only the last closed higher-timeframe bar; all alerts use bar-close frequency. What you see on historical bars is what the live chart produced. — 📐 Intrabar assumption disclosed. When a single bar touches both a TP and the SL, the TP registers first (optimistic model). This is stated in the dashboard tooltip so the statistics are interpreted correctly. — 📐 Statistics are session-based. Win/loss counts and the Form strip are computed from the loaded chart history and reset on chart reload. Past performance does not guarantee future results. — ⚖️ Scope. RTS is a trend-following system — like any trail-based approach it performs best in trending conditions and will flip more often in tight ranges. Use the HTF and volume filters and the score to skip low-quality environments. — 🛠️ This is an analysis tool, not an automated trading bot. It identifies trend regimes, grades entries, and draws structured risk levels — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Instruments without volume data are handled automatically (VWMA falls back to EMA, the volume filter bypasses, scoring uses a neutral volume component). The indicator is completely free.
Indikator
oleh WillyAlgoTrader
30
Liquidity Sweep Reversal [JOAT]═══ LIQUIDITY SWEEP REVERSAL ═══ Liquidity Sweep Reversal hunts the stop-run. Price wicks beyond a prior swing high or low to grab resting liquidity, then snaps back inside — and that reclaim is where the reversal often begins. This tool tracks those levels, validates the sweep, and frames a complete trade with stop, targets and live outcome stats. 🎯 ▎ WHAT IT DOES It maps recent swing highs and swing lows as liquidity pools, watches for a candle to pierce one and then close back on the correct side (the reclaim ), and prints a clean BUY or SELL label. Every valid signal is turned into a structured trade: an ATR-based stop beyond the swept wick and three R-multiple targets, all tracked to resolution on a self-scoring dashboard. ▎ HOW IT WORKS • Liquidity mapping — Confirmed pivot highs and lows (lookback set by Swing Pivot Lookback ) are stored as active levels per side, capped in count and aged out after a maximum bar age so only relevant pools remain. • Sweep + reclaim — A bullish setup needs the bar to wick below a tracked swing low, then close back above it (sell-side liquidity grabbed). A bearish setup wicks above a swing high, then closes back below it. The reclaim can complete on the sweep bar or within the Reclaim Window you allow. • Wick-depth gate — The penetration beyond the level is measured in ATR. Too shallow (noise) or too deep beyond the Max Wick cap (a genuine breakout) is rejected, so only clean stop-hunts qualify. • Confluence filters — Optional volume-spike confirmation, HTF trend alignment (BUY only above a higher-timeframe EMA, SELL only below), directional restriction, dual-side sweep blocking on wide bars, and a signal cooldown all thin the feed. • Trade construction — Entry is the reclaim close. The stop sits beyond the swept wick by an ATR buffer, then is clamped between a min-risk floor and max-risk cap. That risk (1R) projects TP1 / TP2 / TP3 at your chosen R multiples. • Outcome engine — Each trade is followed bar by bar. Same-bar stop-vs-target conflicts resolve by your chosen priority, and trades that never reach TP3 or stop are flattened at a bar timeout — every result feeds the stats. ▎ HOW TO USE IT • A BUY pill under price marks a bullish reclaim; a SELL pill above price marks a bearish one. The dotted level line and SSL / BSL SWEEP tag show exactly which liquidity pool was raided. • The green target zone spans entry to TP3; the red risk zone spans entry to stop. Lines and left-side labels print entry, SL and each TP with its R value. • On close, a result label reports the outcome — TP3 , a protected partial TP , SL , or a TIME exit — with the realised R. • Treat signals as a structured framework, not a black box: strongest reversals tend to appear at obvious swing extremes, with HTF alignment and a volume spike behind them. ▎ KEY SETTINGS • Engine — pivot lookback, reclaim window, ATR length, tracked levels per side, level age, and signal direction (Both / Long / Short). • Filters — min/max wick depth, volume-spike confirmation, HTF timeframe + EMA, dual-side blocking, and cooldown bars. • Trade Model — stop buffer, min/max risk bounds, TP1/TP2/TP3 in R, same-bar priority, trade timeout, and drawn-trade history depth. • Visuals — toggles for markers, sweep lines, zones, level labels, result labels, optional signal-candle tint, and a session VWAP ± σ band . ▎ DASHBOARD A compact panel reports live state — Status (Waiting / Armed / Active), current active trade side, last sweep and its level — alongside performance: sweeps detected, signals taken, closed count, win rate , profit factor , average R , bull vs bear win%, current and max win/loss streak , and an optional TP1/TP2/TP3 vs SL/Timeout breakdown. Position and text size are configurable. ▎ ALERTS • Bullish Sweep (BUY) and Bearish Sweep (SELL) on confirmed entries. • TP3 Hit , Partial TP Hit (protected exit), and SL Hit on trade resolution. ▎ NOTES • Works on all timeframes and all assets — instruments without volume simply pass the volume filter. • Signals confirm on the reclaim close , so a printed BUY/SELL marker does not move once the bar closes. • Every visual has a toggle — turn off zones, lines, labels or the dashboard for a minimalist chart. • The on-chart statistics summarise historical signals only and are illustrative, not a forecast. For research and education only. This is not financial advice. No indicator can predict the future, and past behaviour does not guarantee future results. Always manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
ICT Kill Zone Sniper [JOAT]═══ ICT KILL ZONE SNIPER ⚡ ═══ A session-aware sniper tool that paints every candle by its active kill zone, tracks the liquidity pool each session leaves behind, and fires a single clean BUY or SELL only after price sweeps the prior pool and reverses back inside the current kill zone. Built for traders who wait for the liquidity grab, not the breakout. ▎ WHAT IT DOES It splits the trading day into four classic kill zones — Asia , London , NY-AM and NY-PM — colors the candles inside each one, and records the high and low that every finished session builds. Those prior highs/lows become the liquidity pools hunted in the next window. When the current kill zone reaches into one of those pools and then closes back through it, the tool marks the sweep and projects a full trade: entry, ATR stop, and an R-based target zone. ▎ HOW IT WORKS • Kill-zone clock — each session window is evaluated in a chosen wall-clock timezone (New York by default). Membership is na-guarded, so it behaves correctly on any intraday timeframe and simply idles on higher timeframes. • Session state machine — while a kill zone is live, the tool expands that session's running high and low. When the session ends, that high/low is frozen as the prior liquidity pool and drawn as dashed projection lines carried into the next window. • Sweep + reversal detection — a high sweep needs price to trade above the prior pool high yet close back below it; a low sweep needs a dip below the prior pool low with a close back above. A Min Sweep Depth (× ATR) filter rejects micro-penetrations caused by spread and tick noise. • Confirmation — sweeps can be evaluated on confirmed bar close only, so signals do not repaint intrabar. At most one long and one short can print per kill-zone occurrence when the one-per-side lock is on. • Optional HTF bias — a higher-timeframe EMA (requested with lookahead off) can gate direction: longs only above it, shorts only below it. • Trade projection — on a valid signal the stop is placed beyond the swept extreme plus an ATR buffer, risk is measured from entry to stop, and the target is set at your chosen R multiple. Reward and risk are drawn as tinted zone boxes with entry/SL/TP lines and level labels. • Optional VWAP — a session-anchored VWAP with a ±σ band is available as extra context. ▎ HOW TO USE IT • Wait for a BUY or SELL pill to print inside a colored kill zone — it means the prior pool was swept and price reversed back through it. • The green zone box is the reward leg toward the R-target; the red zone box is the risk leg to the stop. The label pill shows the session and the R multiple. • Use the dashed prior high/low lines as the liquidity being hunted this session — signals cluster around them. • Treat the HTF bias as a directional filter and the sweep tags as confirmation that liquidity was actually taken before you commit. • Combine with your own structure read; the tool marks the setup, you manage the trade. ▎ KEY SETTINGS • Kill Zones — timezone plus editable session windows for Asia, London, NY-AM and NY-PM. • Signal Engine — ATR length, confirm-on-close, one-signal-per-side lock, and minimum sweep depth. • HTF Bias — toggle, higher timeframe, and EMA length. • Trade Model — stop buffer beyond the sweep, risk/reward target in R, projection length, and how many past signals to keep. • Visuals — candle tinting and transparency, session boxes, pools, sweep tags, signal labels, SL/TP lines and zone boxes, VWAP bands, and label size. • Dashboard — show/hide, position, and text size. ▎ DASHBOARD A cyberpunk chrome-gradient panel reporting the active session , current session high/low , a countdown to the next kill zone , the HTF bias state, the last liquidity grab side, the active signal with bars-since, the last entry , its stop / target , the current ATR , and a running long / short signal tally . ▎ ALERTS • KZ Sniper Long — prior-pool low sweep plus bullish reversal inside a kill zone. • KZ Sniper Short — prior-pool high sweep plus bearish reversal inside a kill zone. ▎ NOTES • Works across assets; the session logic is intended for intraday timeframes and idles on higher ones. • Confirm-on-close keeps signals non-repainting; the HTF EMA is requested with lookahead off. • Nearly every visual has a toggle, so you can strip it down to just the candles and signals for a clean chart. • Any on-chart tallies reflect historical signals only. For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
SuperTrend Engine [Quantum Algo]SuperTrend Engine ==================================================== 🔶 OVERVIEW SuperTrend Engine is a volatility-adaptive SuperTrend indicator built on one idea: every SuperTrend gives you signals — this one shows you the whipsaws it saved you from, tells you its real win rate on your chart, and admits when it is wrong. The engine self-tunes its factor with a fully transparent formula, confirms flips through a Whipsaw Shield that absorbs fake-outs and marks every one it absorbed, stamps every buy and sell flip with its live, honestly-computed win rate on the current symbol, settles every marker into its real outcome ten bars later, and draws the trade geometry — entry, trailing stop, one-R and two-R references — the moment a flip confirms. 🔶 WHAT IS A SUPERTREND? A SuperTrend is a trailing stop built from the Average True Range: a band placed a volatility-scaled distance from price that ratchets in the trend's favor and never retreats. While price holds above the band, the trend is up and the band trails below as a stop; a close through the band flips the state. It is one of the most followed trend-following tools in retail trading — and its famous weakness is the whipsaw: sideways markets flip it back and forth, and a fixed factor that survives chop is too slow in trends. This engine is built specifically against that weakness. 🔶 WHY THIS SCRIPT IS ORIGINAL 1. The Whipsaw Shield — visible absorbed fake-outs. A flip only confirms when the close clears the opposite band by a volatility margin. When the raw trail flips and reverses before clearing it, the engine holds its direction and prints a small ghost marker where the whipsaw died, with a running Whipsaws Shielded counter in the dashboard. Other tools try to reduce whipsaws quietly; to our knowledge, none renders the failures it absorbed. Here the evidence is on the chart. 2. Honest per-symbol flip statistics. Every flip is stamped with its live win rate on this exact symbol and timeframe — shrinkage-adjusted so thin history cannot show fake confidence, with a Wilson confidence bound and sample count in the hover tooltip. The indicator audits itself in public instead of asserting signals. 3. Markers that settle into their outcome. Each buy and sell marker resolves ten bars later: the trend color if the flip delivered, faded gray if it failed. Scroll any chart and read the engine's true track record directly off the markers — including the losses. 4. Transparent adaptation, not a black box. The factor self-tunes between your two bounds using Perry Kaufman's Efficiency Ratio — tight when price moves cleanly, wide in chop — and the dashboard shows the live factor and efficiency reading every bar. The adaptation can be verified with a calculator; nothing asks for trust. 5. A trade plan, not just a line. On every confirmed flip the engine draws the entry, the trailing stop, and one-R and two-R reference levels, and the dashboard tracks the open signal's running R-multiple live. 6. A breathing chart. The glow between price and trail intensifies with trend distance and fades as price returns to the stop, grade-A flips (volume, efficiency, and a decisive break together) print in the accent color, and the whole layer stays capped and clean. 🔶 HOW IT WORKS Adaptive trail: Classic ratcheting SuperTrend bands are computed from the Average True Range, with the factor interpolated between the trend bound and the chop bound by the Efficiency Ratio — the ratio of net price movement to total path length over the lookback. Whipsaw Shield: The raw band flip is treated as a candidate, not a signal. Only a close beyond the opposite band plus the margin confirms the flip; a raw flip that reverses first is counted, marked as a ghost, and absorbed. Statistics: Each confirmed flip records what price did ten and thirty bars later, in the flip's direction, into capped first-in-first-out databases. Win rates are pulled toward fifty percent by pseudo-samples and carry Wilson lower bounds. Until the minimum sample is met, markers read "collecting history" instead of inventing a number. Outcome settlement: Every marker stores its flip price and recolors by the realized ten-bar outcome, then joins the capped history. Grading: Volume z-score, efficiency level, and break decisiveness combine into an A, B, C grade on every flip. Non-repainting: Flips, shields, grades, statistics, and settlement are all evaluated on closed bars. Once printed, nothing moves. 🔶 HOW TO USE IT 1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. Trending instruments suit tighter trend bounds; choppy ones benefit from a wider chop bound and a larger shield margin. 2. Treat the flip as regime information and the trail as the stop: the line is the invalidation, and the one-R and two-R references scale targets to the risk the stop defines. 3. Read the ghost markers as the tool working: a cluster of × marks in a range is the chop a fixed-factor SuperTrend would have traded. 4. Judge fresh flips against the settled history and the statistics rows — a symbol whose markers keep settling gray is telling you trend-following struggles there, and that is information worth having before the next flip. 5. Use the grade for position confidence: an A-grade flip with volume, high efficiency, and a decisive break is a different event from a drift-through. 6. Watch the live factor and efficiency in the dashboard to see the adaptation reasoning in real time. 🔶 SETTINGS - Adaptive trail: Average True Range length, factor in strong trend, factor in chop, Efficiency Ratio length. - Whipsaw Shield: flip margin and ghost marker toggle. - Statistics: sample cap, minimum samples to grade, shrinkage strength, Wilson z-score, markers to keep. - Trade plan toggle and plans to keep. - Visuals: all colors, glow fill, candle tinting. - Themeable dashboard: position, four text sizes, title band, background, frame, grid, and three text colors. 🔶 ALERTS - Buy Flip / Sell Flip — the adaptive trail flipped with the confirmation margin cleared. - Whipsaw Shielded — a raw flip reversed before confirming; the engine held its direction. - Grade A Flip — full quality confluence: volume, efficiency, and a decisive break. 🔶 FREQUENTLY ASKED QUESTIONS Does the indicator repaint? No. Every flip, shield event, grade, statistic, and marker settlement is evaluated at bar close. Once printed, nothing moves. How is this different from other adaptive or machine-learning SuperTrends? Adaptation itself is not the claim — several tools adapt the factor. The differences are transparency and honesty: the adaptation here is one verifiable formula shown live on the dashboard, the whipsaws it absorbs are rendered instead of hidden, every signal carries its real statistics with confidence bounds, and every marker settles into its true outcome. What does a ghost × marker mean? The raw SuperTrend flipped there and reversed before clearing the confirmation margin. The engine held its direction and counted the whipsaw it absorbed. Why does a marker turn gray? The flip failed: ten bars later, price had not moved in its direction. Gray markers are the audit trail working — an honest tool must be able to show its losses. Why do the win rates hover near fifty percent on some symbols? Because that is the truth of trend-flip performance there. The shrinkage and confidence bounds are designed to display small honest numbers rather than large misleading ones. 🔶 CREDITS The SuperTrend trailing stop was created by Olivier Seban; the Average True Range is by J. Welles Wilder Jr. (1978); the Efficiency Ratio is by Perry J. Kaufman; the Wilson score interval is by Edwin B. Wilson (1927). This script gratefully acknowledges all four. The Whipsaw Shield, the transparent adaptive-factor design, the per-symbol statistical engine, the outcome-settling markers, the trade plan layer, and all code in this script are original work — no third-party or open-source script code was reused. 🔶 LIMITATIONS Trend-following flips underperform by nature in prolonged ranges; the shield reduces but cannot eliminate that cost, and shielded entries confirm slightly later than raw ones — the margin trades earliness for reliability. Statistics need history to mature and are honest about being thin early. Volume grading is less meaningful on symbols with unreliable volume reporting. No indicator replaces independent analysis. 🔶 DISCLAIMER This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any flip, statistic, or grade does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently.
Indikator
oleh Quantum-Algo
FVG Sniper [JOAT]═══ FVG SNIPER ═══ A complete Fair Value Gap engine that finds price imbalances, grades their quality, tracks how they fill, mitigate and invert, and then paints a full trade blueprint the moment a clean setup fires. One gap is spotlighted as the strongest, and every signal arrives with entry, three targets, a stop, and colored risk/reward zones — no arrows, no clutter. ▎ WHAT IT DOES FVG Sniper detects three-candle fair value gaps (imbalances), scores each one from 0–10, and monitors its life cycle: how much of the gap has been filled, whether it has been mitigated (wick-tapped through), and whether price has closed fully through it to flip its role into an Inverted FVG (IFVG) . When a graded gap produces a rejection or an IFVG flip that agrees with the higher-timeframe bias, it draws a structured trade plan and reports the whole picture in a dashboard. ▎ HOW IT WORKS • Gap detection — a bullish gap forms when the current low sits above the high from two bars back; a bearish gap forms when the current high sits below the low from two bars back. • Quality filters — each candidate must clear a minimum gap size (as a multiple of ATR ) and a minimum displacement body ratio on the impulse candle, so tiny or weak imbalances are ignored. • Grade (0–10) — blends gap size, the displacement range of the middle candle, and relative volume into a single score. Only gaps at or above your minimum grade may fire a signal. • Fill & mitigation — the engine tracks the running extreme inside each gap to compute a live fill percentage, and marks a gap mitigated once a wick fully traverses it. • Inversion (IFVG) — when price closes fully through a gap, its role flips; the box restyles to a dashed amber accent and the flip is logged. • Signals — two sources you can mix or isolate: Rejection (price retraces into a live gap and reacts back out with a directional close) and IFVG Flip (a mitigated gap is closed through, confirming continuation). • HTF bias filter — an optional higher-timeframe EMA bias must agree with the signal direction before it is allowed. • Trade model — on a fresh signal it sets entry at close, a stop either gap-protected (just beyond the triggering gap boundary) or ATR-based, with risk clamped between a floor and a cap. Targets TP1/TP2/TP3 are placed at your chosen R multiples. • Non-repainting — all detection, scoring and signals evaluate on confirmed (closed) bars only, and the HTF request uses no lookahead. ▎ HOW TO USE IT • Trade in the direction of the BUY / SELL pill. The stars and score on the pill show the grade of the gap that triggered it. • The entry line (chrome), dashed stop , and TP1/TP2/TP3 lines map the plan directly on the chart; level labels on the right print exact prices and R values. • The green zone is the target/reward area from entry to TP3; the red zone is the risk area between entry and stop — a fast visual read of the trade's R:R. • A single ★ spotlight tags only the strongest active gap, so you always know the best imbalance in view. • Use live gaps as decision zones: watch the fill % of the nearest gap, and treat an IFVG flip as a shift in short-term control. • When a trade closes, a result label prints the outcome (TP hit, stop, or exit at R) so completed setups stay readable. • Combine with your own structure, session and news context — the gap engine locates the where , you confirm the when . ▎ KEY SETTINGS • Engine — enable bullish/bearish detection, choose the signal source (Rejection, IFVG Flip, or both), and cap how many gaps stay visible plus their lifetime and box extension. • Filters — ATR length, minimum gap size, minimum displacement body ratio, minimum grade, the HTF bias filter (timeframe + EMA length), and whether a directional rejection close is required. • Trade Model — stop basis (Gap-Protected vs ATR), stop buffer/distance, risk floor and cap, TP1–TP3 in R, max trade duration, zone projection, and how many completed trades to keep. • Visuals — toggle gap boxes, midline, hide-mitigated declutter, grade spotlight, IFVG styling, signal pills, zone boxes, lines, level and result labels, zone-reader candle coloring, optional VWAP + σ bands, and all colors/transparency/sizes. • Dashboard — show/hide, position, text size, and dark or light panel. ▎ DASHBOARD The on-chart panel reports: HTF bias, count of active bullish and bearish gaps, the nearest gap price and its fill %, the strongest gap's star grade, the last IFVG flip (with bar age), the active signal, any live trade with its entry, and running totals of bullish / bearish / inverted gaps detected. ▎ ALERTS • BUY signal • SELL signal • Bullish IFVG Flip (inversion up) • Bearish IFVG Flip (inversion down) ▎ NOTES • Works on all timeframes and all assets — indices, forex, crypto, stocks, futures. • Signals and drawings are computed on closed bars, so they do not repaint after the bar confirms. • Object caps and hide-mitigated / declutter toggles keep the chart clean even on long histories. • Any on-chart result labels reflect historical signals only and are illustrative, not a performance guarantee. For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results — always manage your own risk. Made with passion by JackOfAllTrades ⚡
Indikator
oleh officialjackofalltrades
4
Dynamic Market Metrics [MarkitTick]💡 All-in-one market analysis suite designed to unify trend evaluation, momentum measurement, and dynamic risk management into a single, cohesive interface. Rather than relying on a scattered array of disparate indicators, this unified system synthesizes multiple dimensions of market data—including volatility, money flow, and higher-timeframe confluence—to provide a comprehensive structural overview of the current asset. It visually maps trend direction, plots actionable trade risk levels, and features a real-time heads-up display (HUD) dashboard to track critical market internals without cluttering the charting workspace. ● Overview ✨ Originality and Utility Traditional technical analysis often forces traders to compromise between lagging trend followers and noisy momentum oscillators. This script solves that divergence by integrating an adaptive trend baseline with volume-weighted momentum constraints. It is unique in its ability to automatically map forward-looking risk-to-reward brackets the moment a structural shift is confirmed. Instead of guessing where to place stops and targets, the system calculates these thresholds dynamically based on real-time volatility, offering a strictly objective framework for trade management. This eliminates the need for messy chart mashups, replacing them with a highly organized, singular logic engine. 🔬 Methodology and Concepts The core engine of this tool operates on an abstracted synthesis of price volatility and money flow dynamics. The primary trend anchor is established by evaluating average true price ranges against the flow of capital entering or exiting the asset. Rather than relying on simple price crosses, the baseline only shifts when confirmed by underlying volume and momentum pressures. A specialized breakout override mechanism constantly monitors for abnormal momentum spikes. If a sudden surge in directional velocity exceeds the baseline volatility threshold, the system immediately recalculates the trend state to adapt to the new market structure. Trade levels are generated using a dynamic risk parity model. The system measures the precise distance between the confirmed entry trigger and the structural invalidation point, projecting synchronized target tiers that maintain strict mathematical risk-to-reward ratios. All higher-timeframe data integration is strictly coded using offset historical referencing, ensuring absolute data integrity and preventing any future leakage or repainting artifacts. 🎨 Visual Guide The script utilizes a clean, professional aesthetic, heavily reliant on dynamic colors and structured dashboard elements. • The Trend Anchor and Cloud Trend Line: A distinct, segmented line that tracks the primary market direction. It colors dynamically based on the active state (Bullish, Bearish, or Neutral). Dynamic Cloud: A semi-transparent filled area bridging the primary trend line and a smoothed reference baseline. The thickness of this cloud visually represents the immediate strength and momentum of the trend. Candle Coloring: Chart candles are painted to match the active trend state, providing instant visual alignment with the underlying engine. • Trade Levels and Signals Signal Markers: Minimalist labels appear above or below the price action to indicate confirmed structural shifts. Stop Loss (SL) Line: A solid line representing the exact invalidation point of the active trend. Entry Line: A dashed line marking the exact price where the signal was confirmed. Take Profit (TP) Lines: A series of three dashed lines representing incremental target zones. Risk/Reward Fills: Shaded background zones visually map the risk area (Entry to SL) against the reward area (Entry to TP3), allowing for immediate visual risk assessment. • The HUD Dashboard Located in the top right corner, this data table provides a real-time read of market internals: Trend State & HTF Context: Displays the current directional bias on both the local and higher timeframes. Entry, Target, and SL: Prints the exact numerical values for the active trade parameters. Momentum & Money Flow: Visual progress bars indicating the current intensity of price movement and capital flow. Volatility: Indicates whether the market is currently in a state of expansion or contraction. Trend Age: A counter showing exactly how many bars have elapsed since the current trend began. 📖 How to Use The system is designed to be highly objective. Monitor the chart for a confirmed signal marker, which indicates a shift in the underlying structural trend. Once a signal fires, the script will automatically render the Entry, Stop Loss, and Take Profit levels. Validation: Before considering the signal, check the HUD Dashboard. A high Momentum score and an aligned Higher Timeframe (HTF) Context significantly increase the probability of continuation. Execution: Use the exact printed Entry line for placement. The Stop Loss line dictates the hard invalidation point where the premise of the trend is broken. Management: As price moves in the anticipated direction, manage the position by scaling out or moving protective stops as the asset crosses the TP1, TP2, and TP3 thresholds. Breakouts: If a sudden momentum burst triggers an override, the trend state will flip immediately. Treat these as aggressive volatility expansions that require tighter risk management. ⚙️ Inputs and Settings The settings panel is modularized for precise user control: • Core & Breakout ATR Mult & Length: Adjusts the core sensitivity of the volatility engine. Lower values create a tighter, more reactive baseline. BO Override & Sens: Toggles the momentum breakout detection and dictates how much abnormal velocity is required to override the primary trend. • Higher Timeframe (HTF) Show HTF & TF: Enables the integration of a secondary, longer-term timeframe to act as a directional filter. • Trade Tools & Cloud Show Trade Levels: Toggles the rendering of the dynamic Entry, SL, and TP lines. Cloud Settings: Controls the length, transparency, and rendering of the visual trend cloud and candle coloring. • Alerts & Colors JSON Action Strings: Allows users to input custom formatted strings for Long, Short, and Close actions, perfectly integrating with automated third-party execution platforms. Colors: Fully customizable palettes for all lines, fills, dashboards, and signal markers. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The architectural foundation of this system rests on auction market theory and the statistical properties of volatility clustering. Financial markets operate through continuous auctions where price discovery is driven by the aggressive absorption of resting liquidity. This engine abstracts that process by measuring the standard deviation of price excursions—quantifying the asset's true range—and mapping it against the directional flow of capital. By analyzing the divergence between pure price action and volume-weighted accumulation, the system identifies the true mean of value. When price deviates beyond these statistical bounds accompanied by extreme momentum, it signals a structural paradigm shift rather than a standard mean-reversion event. Furthermore, the embedded risk parity model abandons static numerical thresholds in favor of dynamic proportional scaling. The reward brackets are continuously mathematically linked to the localized volatility of the anchor point, ensuring that the risk-to-reward distribution remains statistically constant regardless of the asset's current expansion or contraction phase. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indikator
oleh MarkitTick
2