Mulai

Analisis Tren

Tension Flow Trend [BigBeluga] - Historical RRTension Flow Trend is a high-performance trend-following framework that treats price action like a reactive elastic system. By moving beyond static averages, this indicator introduces "Price Tension"—a sophisticated measurement of how overstretched a trend is relative to its baseline—now enhanced with a live Historical RR (Risk:Reward) backtesting engine. By combining the ultra-low-lag properties of the Hull Moving Average (HMA) with real-time Z-Score volatility analysis, this indicator visualizes not just the direction of the market, but the mathematical "exhaustion" of every move. 🔵 THE ELASTICITY FRAMEWORK The Ultra-Responsive HMA Baseline: At the heart of the system is a 50-period Hull Moving Average. Specifically engineered to eliminate the lag found in traditional SMAs, the HMA provides a "true north" that reacts instantly to structural shifts without the usual delay. Price Tension (Z-Score Engine): The indicator measures the vertical distance between price and the HMA, normalizing it using standard deviation. This Z-Score represents the "Tension" of the trend—showing you exactly when the market has deviated too far from its mean. Dynamic Transparency Feedback: As price enters an extreme Z-Score range, the trend ribbon’s transparency increases. A bright, solid ribbon indicates compressed, high-probability energy, while a fading ribbon warns that the "elastic band" is stretched to its limit. 🔵 PERFORMANCE & RISK INTELLIGENCE Automated RR Projection: Upon every "START" signal, the script automatically plots dynamic Risk:Reward boxes. It calculates an ATR-based stop loss and projects a take-profit target based on your custom RR ratio, visualizing the trade's path in real-time. Rolling Performance Tracker: The indicator features a built-in backtester that tracks the win/loss history of the most recent trades. It calculates your Win Rate based on a rolling sample size, allowing you to see how the strategy is performing under current market conditions. Signal Cooldown Logic: To eliminate "whipsaw" noise, a configurable cooldown engine ensures that signals only trigger during significant structural shifts. This prevents signal clustering in sideways or choppy markets. 🔵 DUAL-DASHBOARD SYSTEM Energy Monitor (Bottom-Right): Tracks the numerical Z-Score and categorizes the market status. "Strong" indicates healthy momentum, while "Overextended" warns of an imminent mean-reversion risk. RR Performance Table (Top-Right): Provides an institutional-grade breakdown of your strategy performance, including total Wins, Losses, and the current Win Rate percentage for the specified trade window. 🔵 STRATEGIC APPLICATION The Momentum Breakout: Look for "START" labels that appear when the HMA slope aligns with a price crossover. These represent the birth of a new trend cycle where tension is low and expansion is likely. Managing Trend Exhaustion: When the ribbon begins to fade and the Energy Dashboard hits "Overextended," it is time to tighten stops or take partial profits. High tension usually precedes a sharp snap-back to the baseline. Confirming with Win Rate: Use the Performance Dashboard to gauge market regime. If the rolling Win Rate is high, the market is respecting the trend envelopes; if it drops, the market may be entering a consolidation phase where you should wait for better alignment. Mean Reversion Targets: For contrarian traders, the HMA baseline serves as a natural "magnet." When price is significantly overextended, look for price to be pulled back into the HMA "Neutral Zone." Tension Flow Trend transforms your chart into a map of market stress and opportunity. By visualizing the tension behind every candle and providing real-time performance feedback, it ensures you stay on the right side of the trend while trading with professional-grade risk management.
Indikator Pine Script®
oleh BigBeluga
5
Whale Liquidity and Absorption Profile [AlgoAlpha]🟠 OVERVIEW The Whale Liquidity and Absorption Profile maps intrabar buying, selling, delta, and absorption activity into stacked horizontal profiles. It samples lower timeframe volume data inside each chart candle, then groups that activity into price bins to show where aggressive participation and absorption occurred across a configurable lookback range. The script separates strong and weak activity using a percentile-based strength filter. It also builds a delta heatmap, absorption profile, historical absorption heatmap, and local absorption zones. Together, these components help traders identify where liquidity entered the market, where imbalance formed, and where price may react again. 🟠 CONCEPTS Intrabar Sampling — Lower timeframe volume and directional data are requested using request.security_lower_tf() to reconstruct buying and selling activity inside each chart candle. Strength Filter — Intrabar volume samples are ranked by percentile. Volumes above the selected percentile threshold are classified as strong activity while lower values are treated as weak activity. Delta Profile — Buy volume minus sell volume calculated per price bin. Positive delta shows aggressive buying while negative delta shows aggressive selling. Absorption Volume — Bullish volume occurring in upper wicks and bearish volume occurring in lower wicks. This is used to estimate where opposing liquidity absorbed incoming pressure. Price Bins — The full price range inside the lookback is divided into vertical bins. All volume, delta, and absorption calculations are aggregated into these bins. Absorption Peaks — Local highs in the absorption profile compared against neighboring bins. These areas are drawn as support and resistance zones. 🟠 FEATURES Multi-Layer Volume Profile — Displays stacked buying and selling activity across price levels. • Separates strong bullish, weak bullish, weak bearish, and strong bearish volume. • Optional strong-only mode hides weak participation and normalizes the profile using only strong activity. Delta Heatmap — Displays signed delta values directly inside each profile cell. • Positive delta highlights dominant buying pressure. • Negative delta highlights dominant selling pressure. Absorption Profile — Aggregates wick-based absorption activity into a separate horizontal profile. (Buys at high wicks, Sells at low wicks) Historical Absorption Heatmap — Creates rolling 5-bar heatmap snapshots to show where historical absorption accumulated over time. Absorption Zones — Detects local absorption peaks and projects them across the chart as potential reaction areas. Strong Activity Bubbles — Marks the strongest intrabar buying and selling events directly on price using percentile-ranked bubble tiers. 🟠 HOW TO USE Load 2 instances of the indicator to bypass box drawing limits and use both the Absorption heatmap and the profiles. Watch for stacked strong bullish volume combined with positive delta — this can show aggressive participation entering a price region. Watch for stacked strong bearish volume combined with negative delta — this can show heavy selling pressure dominating a level. Use absorption zones as areas where price previously encountered opposing liquidity — these zones may act as future reaction points. Compare delta against absorption — strong positive delta with heavy upper-wick absorption can indicate trapped buyers or resistance. Use the historical absorption heatmap to locate repeated liquidity interaction zones that price continues to respect over time. Increase profile resolution for tighter price detail and reduce it for broader structural zones. Enable strong-only mode to isolate high-participation liquidity events and remove weaker intrabar activity from the profile. 🟠 CONCLUSION Whale Liquidity and Absorption Profile combines intrabar volume profiling, delta analysis, and wick-based absorption detection into a single structured framework. The indicator separates strong and weak participation while mapping where liquidity was absorbed across price levels. This gives traders a clearer view of imbalance, participation strength, and potential reaction zones inside the current market structure.
Indikator Pine Script®
oleh AlgoAlpha
2
Anchored VWAP Suite | Flux ChartsGENERAL OVERVIEW The Anchored VWAP Suite is an all-in-one anchored VWAP toolkit designed to plot every meaningful VWAP a trader needs from a single indicator. Instead of dropping a stand-alone anchored VWAP each time the chart prints a new swing high, swing low, daily extreme, or session boundary, the indicator does that work automatically and keeps every line on the chart managed, color-coded, and labeled. The main goal of this indicator is to give traders a clean, automatic read on where the volume-weighted average sits from every important reference point in the market — without having to manually anchor anything. Every line you see on the chart represents the average price the market has traded at since a moment that mattered: a swing high, a session open, today’s low, and so on. It plots six different families of anchored VWAPs simultaneously: Swing High/Low, Lookback High/Low, Daily Open/High/Low, Weekly Open/High/Low, Monthly Open/High/Low, and Session High/Low (Asia, London, NY). Every family is independently configurable — you can enable only the ones you use, set the price source for each, and control the color, line style, and how many of each type stay on the chart. The indicator also smartly merges overlapping VWAP labels at the right edge of the chart. When two or more VWAPs converge to the same level, you see one combined label like "Daily High & Swing Low" instead of multiple stacked labels fighting for space. This indicator was developed for traders who already use anchored VWAPs as part of their workflow and want every important anchor — swing, session, daily, weekly, monthly — drawn for them automatically and kept clean even when many are active at once. WHAT IS THE THEORY BEHIND THIS INDICATOR? An anchored VWAP plots the average price weighted by volume, starting from a specific bar — the "anchor." Once anchored, the line continues forward and updates each bar, showing the volume-weighted average price of everyone who has traded since that anchor was set. Why traders use it: the anchor point is usually a moment of decision in the market — a swing high where supply showed up, a daily open where the session began, or the start of a major session. Everyone who entered around that anchor is now positioned relative to the VWAP. When price reclaims or rejects the line, it tells you whether those traders are in profit or in loss as a group, and the line itself often acts as dynamic support or resistance. The challenge with anchored VWAPs is that there are many useful anchor points. A serious trader might want VWAPs from the last swing high, the last swing low, today’s open, today’s high, today’s low, the previous week’s high, the start of the NY session, and so on. Manually anchoring all of those — and re-anchoring them every time a new extreme prints — is tedious and error-prone. The Anchored VWAP Suite handles this automatically. It detects every meaningful anchor point on the chart, draws the VWAP from that anchor, keeps it updated as new extremes print, retires old VWAPs as they age out, and presents the whole set in a way that stays readable even when ten or more lines are on the chart at once. ANCHORED VWAP SUITE FEATURES The Anchored VWAP Suite includes 7 main features: Session Anchors Swing Anchors Lookback Anchors Daily Anchors Weekly Anchors Monthly Anchors Customization Options 🔹 Method Method controls how each new bar affects a VWAP after its anchor is set. Three modes are available: ◇ Standard: every bar from the anchor counts equally. This is the classic anchored VWAP — older bars carry the same weight as the most recent ones. The line becomes steadily slower to respond as the anchor moves further into the past. ◇ EMA: recent bars are weighted more heavily, using a 2/(N+1) coefficient. The VWAP responds faster to new price action while still tracking back to the anchor point. ◇ RMA: also weights recent bars more, but with a slower 1/N coefficient (Wilder's smoothing). Smoother than EMA, but lags more. The default is RMA, which produces a responsive line that behaves consistently whether the anchor is recent or far back. 🔹 Period Period sets the length used by the EMA and RMA modes. Larger values smooth more — the line moves less. Smaller values make the line more reactive but jumpier. Period is ignored when Method is set to Standard, since Standard treats every bar equally regardless of length. The default is 20. 🔹 Max VWAP Length Max VWAP Length caps how far back a single VWAP can anchor before it's dropped from the chart. The default of 5,000 bars covers most use cases. Raise it if you need to keep very old anchored VWAPs visible — for example, swing VWAPs from far back in history. Lower it if you find the indicator slowing down on heavy charts; a smaller cap means less work to render and a snappier response when many VWAPs are active at once. This cap also applies when a new VWAP is first drawn: anchors older than the configured limit are not created, so every line on the chart always fits inside the configured length. COMMON ANCHOR SETTINGS: SOURCE & COUNT Beyond the General Configuration above, two settings — Source and Count — appear in nearly every anchor family. Because they work the same way across all of them, they are explained here once and then referenced inside each anchor family below. 🔹 Source Source controls which price each bar contributes to the VWAP after the anchor is set, but it does not change the anchor itself. The anchor bar is always pinned to its defining extreme: a Swing High VWAP anchors at the actual high of the swing-high candle, a Daily Open VWAP anchors at the actual open of the day, a Daily Low VWAP anchors at the actual low, and so on. From the bar after that, the Source you choose decides which price gets fed into the volume-weighted calculation. Available sources: ◇ High — only the high of each bar contributes ◇ Low — only the low of each bar contributes ◇ Close — only the close of each bar contributes ◇ Open — only the open of each bar contributes ◇ HLC3 — average of high, low, and close (the classic "typical price") ◇ HL2 — midpoint of high and low ◇ OHLC4 — average of open, high, low, and close In practice, most traders leave Source at the default for each anchor type: High for "high" anchors, Low for "low" anchors, Open for open-based anchors. Switching to HLC3, HL2, or OHLC4 produces a smoother VWAP that's less sensitive to long wicks, while sticking with High, Low, or Close keeps the line tight to a single price point on every bar. 🔹 Count Count controls how many VWAPs of a given type are kept on the chart at once. As new anchors form, older ones drop off automatically — so a Count of 3 on Daily Open VWAPs means the indicator always shows the three most recent daily-open VWAPs and quietly drops anything older. Set Count to 1 for a clean chart that only shows the latest anchor of each type. Raise it when you want a side-by-side view of how price has interacted with multiple historical anchors of the same kind. SESSION ANCHORS 🔹 What Are Session Anchors? Session anchors are VWAPs anchored to the session high and session low of the three major intraday sessions: Asia, London, and New York. They appear as each session develops and lock in once the session closes. 🔹 Default Session Times (New York Time) ◇ Asia: 20:00 – 22:00 ◇ London: 02:00 – 04:00 ◇ New York: 10:00 – 12:00 🔹 Live Re-Anchoring While a session is open, the high and low VWAPs re-anchor automatically each time price prints a new extreme inside that session. The moment the session ends, the final anchors are confirmed and stay on the chart, giving traders a clean record of where the session’s volume-weighted averages sit relative to current price. 🔹 Session Boxes and Labels Each session is also drawn as a colored box that expands as price moves. The box contains the full high-to-low range of the session and is labeled with the session name (Asia, London, NY) along its top edge. Boxes from previous sessions are kept on the chart so you can quickly see the prior session’s range alongside the live one. 🔹 Customization Options Show / Hide toggle for each session (Asia, London, NY) High and Low source for each session High color and Low color for each session Show / Hide Session Boxes toggle and box color Show / Hide Session Labels toggle Line style (Solid, Dotted, Dashed) and width for session VWAPs SWING ANCHORS 🔹 What Are Swing Anchors? Swing anchors are VWAPs drawn from the last confirmed swing high or swing low on the chart. A swing high is a candle whose high stands above the highs of the bars surrounding it; a swing low is the opposite. Both make natural anchor points because they often mark the moment supply or demand showed up in size. 🔹 How the Indicator Detects Swings The indicator looks for pivots using two confirmation windows: a "Swing Bars Left" count and a "Swing Bars Right" count. The current pivot must be the most extreme bar over both windows before the swing is locked in, and a VWAP is anchored to it. Larger values catch only the more meaningful swings; smaller values catch more frequent (but noisier) ones. The default is 10 bars left and 10 bars right. 🔹 Count Up to 10 swing-high VWAPs and 10 swing-low VWAPs can be kept on the chart at once. As new swings form, older ones drop off automatically. 🔹 Extend All Toggle When Extend All is on, every kept swing VWAP keeps drawing forward to the current bar — useful for studying how price interacts with multiple historical anchors at once. When off, each swing VWAP stops where the next one of the same direction begins, keeping the chart cleaner. 🔹 Customization Options Show / Hide toggle for Swing High VWAPs and Swing Low VWAPs Count for each (1–10) Price source for each (High, Low, Close, Open, HLC3, HL2, OHLC4) Swing Bars Left and Right (1–50) Line style (Solid, Dotted, Dashed) and width (1–5) Color for swing high and swing low Extend All toggle LOOKBACK ANCHORS 🔹 What Are Lookback Anchors? A lookback anchor is a VWAP that re-anchors automatically every time the price prints a new extreme over a rolling window. The Highest High VWAP re-anchors whenever the current bar’s high tops the highest high of the previous N bars. The Lowest Low VWAP works the same way for new lows. 🔹 How It Helps Where a swing anchor needs confirmation bars before it locks in, a lookback anchor responds the moment a new extreme is made. This makes lookback VWAPs useful for tracking the most aggressive recent move — they always reflect the volume-weighted average from the most recent breakout high or breakdown low. 🔹 Customization Options Show / Hide toggles for Highest High and Lowest Low Price source for each Color for each Lookback Length (2–500, default 50) Line style and width DAILY ANCHORS 🔹 What Are Daily Anchors? Daily anchors are VWAPs anchored to the current trading day’s Open, High, and Low bars. They appear as the day develops and re-anchor live whenever a new daily extreme prints. At the end of the day, the active anchors are confirmed, and a fresh set begins the next day. 🔹 The Three Daily VWAPs ◇ Daily Open VWAP: anchored to the bar that opened today’s session. Tracks the volume-weighted average from the start of the day. ◇ Daily High VWAP: anchored to today’s high bar. Re-anchors when a new daily high prints. ◇ Daily Low VWAP: anchored to today’s low bar. Re-anchors when a new daily low prints. 🔹 Why It Matters The daily open is one of the most-watched intraday levels. A VWAP from it tells you immediately whether the average trader who entered today is in profit or loss. The daily high and low VWAPs do the same for the people who entered at the day’s extremes — useful for spotting reaction zones around prior swing points. 🔹 Customization Options Show / Hide toggles for Daily Open, Daily High, Daily Low Count for each (1–50, lets you keep historical daily VWAPs on the chart) Price source for each Color for each Line style and width Extend All toggle WEEKLY ANCHORS 🔹 What Are Weekly Anchors? Weekly anchors work the same way as daily anchors, but for the current trading week’s Open, High, and Low. They appear as the week develops and re-anchor when new weekly extremes print. At the start of each new week, the previous week’s anchors are confirmed and the next week begins. 🔹 The Three Weekly VWAPs ◇ Weekly Open VWAP: anchored to the bar that opened this week. ◇ Weekly High VWAP: anchored to the week’s high bar so far. ◇ Weekly Low VWAP: anchored to the week’s low bar so far. 🔹 Why It Matters Weekly VWAPs are useful for swing traders and for anyone watching how price holds up against bigger structural references. A break and hold above the Weekly Open VWAP often confirms the bullish case for the week; a break below confirms the bearish one. 🔹 Customization Options Show / Hide toggles for Weekly Open, Weekly High, Weekly Low Count for each (1–50) Price source for each Color for each Line style and width Extend All toggle MONTHLY ANCHORS 🔹 What Are Monthly Anchors? Monthly anchors plot VWAPs from the current month’s Open, High, and Low. Like the daily and weekly versions, they re-anchor as new monthly extremes print and confirm at the end of the month. 🔹 The Three Monthly VWAPs ◇ Monthly Open VWAP: anchored to the first bar of the current calendar month. ◇ Monthly High VWAP: anchored to the month’s high bar so far. ◇ Monthly Low VWAP: anchored to the month’s low bar so far. 🔹 Why It Matters Monthly anchors give a longer-term read that’s especially helpful on higher-timeframe trades. They often line up with major structural levels and can highlight institutional positioning over multi-week windows. 🔹 Customization Options Show / Hide toggles for Monthly Open, Monthly High, Monthly Low Count for each (1–50) Price source for each Color for each Line style and width Extend All toggle SMART RIGHT-EDGE LABELS 🔹 What the Labels Show Every VWAP on the chart can display a small text tag at its right edge, naming what that VWAP is anchored to — for example "Swing High," "Daily Open," or "London Low." This makes it instantly clear what each line on the chart represents without needing to memorize colors. 🔹 Auto-Merging at Confluence Zones When two or more VWAPs converge to the same price at the same bar, the indicator automatically merges their labels into one combined tag using an "&" separator. For example, if the Daily Open VWAP and a Swing Low VWAP land on the same price, the right edge shows a single label that reads "Daily Open & Swing Low" instead of two stacked labels overlapping each other. This keeps the chart readable even when many VWAPs are active and converging at confluence zones. 🔹 Customization Options Show / Hide VWAP Labels toggle (global) IMPORTANT NOTES The Anchored VWAP Suite is designed to run on intraday timeframes for the session anchors to function. Session boxes and session VWAPs are automatically hidden on Daily, Weekly, and Monthly charts. Daily, Weekly, and Monthly anchor families work on any timeframe at or below their period. The Max VWAP Length setting controls how far back a single VWAP can anchor before it’s dropped from the chart. The default of 5,000 bars covers most use cases. If you need to keep extremely old anchored VWAPs visible, raise the value; if you find the indicator is slow on large symbols, lower it. Live anchors (the developing daily, weekly, monthly, and session anchors) update intra-bar so the line keeps pace with price. Historical bars never repaint after they close. When Extend All is off (default for Swing, Daily, Weekly, and Monthly families), each VWAP of a given type stops where the next one of the same type begins. This keeps the chart from looking cluttered when many historical anchors are kept. UNIQUENESS The Anchored VWAP Suite is unique because it consolidates every anchor family a serious anchored VWAP user would draw — swing, lookback, daily, weekly, monthly, and session — into a single managed indicator. Each family has its own price source, color, line style, count, and extend mode, which means the same script can render dozens of independently configured VWAPs at once without users needing to load multiple separate scripts. Live anchors automatically re-anchor as new extremes print during the in-progress period and lock in the moment the period closes, so the chart always reflects the most current set of meaningful anchors. Three smoothing modes — Standard, EMA, and RMA — give traders a choice between the classic cumulative anchored VWAP and faster, more responsive variants that stay usable even when the anchor is very far back. The smart right-edge label system automatically merges overlapping labels at confluence zones, which keeps the chart readable even when many VWAPs are active and crossing at the same price. By unifying all of these capabilities into one indicator with consistent styling, shared smoothing logic, and automatic anchor management, the Anchored VWAP Suite removes the need to drop and manually maintain many separate anchored VWAPs and produces a clean, deterministic read on every important VWAP across the chart.
Indikator Pine Script®
oleh fluxchart
1
Market Memory Map: Supply and Demand Zone Indicator by LunqFXMarket Memory Map — Supply & Demand Zone Indicator | by LunqFX Market Memory Map is a supply and demand zone indicator for TradingView that tracks the strength and lifecycle of every support and resistance zone in real time. Unlike standard zone indicators, it shows not just WHERE zones are — but how strong they still are, how many times price has tested them, and when they are about to break. Works on Forex, Crypto and Indices. Compatible with all timeframes. Supports HTF (higher timeframe) zone overlay. ───────────────────────────────────── 🧠 THE CORE IDEA ───────────────────────────────────── Price has memory. Every time it revisits a supply or demand level, that zone loses strength. Most indicators just draw a line and forget about it. Market Memory Map tracks every zone through its full lifecycle — from the first formation to the final breakout. Each supply and demand zone moves through 5 states: 🔵 VIRGIN — Never tested. Maximum strength. Highest priority. 🟢 RESPECTED — Held once with conviction. Strong bounce zone. 🟡 TESTED — Multiple touches. Weakening but still active. ⚫ EXHAUSTED — Near failure. High probability of breaking soon. 🔴 BROKEN — Structure lost. Zone is invalidated. The color of every rectangle shows exactly how much life that zone has left — at a glance. ───────────────────────────────────── 📐 ZONE DETECTION ───────────────────────────────────── Supply and demand zones are built automatically from confirmed pivot highs and lows using ATR-based width calculation — adapting to each instrument's volatility without manual input. HTF overlay lets you see H4 or Daily zones directly on a 15m or 1H chart, so you never miss a key institutional level. Anti-duplicate filter removes overlapping zones to keep the chart clean and readable. ───────────────────────────────────── 🎯 ZONE TOUCH SIGNALS ───────────────────────────────────── ▲ Teal triangle below bar — price entering a Virgin DEMAND zone → watch for long / buy setup ▼ Purple triangle above bar — price entering a Virgin SUPPLY zone → watch for short / sell setup Signals fire only on FIRST entry into a Virgin zone. Bias filter active — no Demand signals in a Bearish market, no Supply signals in a Bullish market. ───────────────────────────────────── 🎨 CANDLE COLORING ───────────────────────────────────── Candles automatically color based on the nearest active zone: • Teal — near or inside a Demand (support) zone • Purple — near or inside a Supply (resistance) zone • Opacity increases as price approaches the zone ───────────────────────────────────── 📊 SMART DASHBOARD ───────────────────────────────────── • Zone States — live count of Virgin / Respected / Tested / Exhausted • Market Regime — TRENDING / RANGING / ACCUMULATING (auto-detected) • Zone Bias — Bullish / Bearish / Neutral based on active zone balance • Nearest Zone — type, distance in pips + ATR multiplier • Zone Score — quality rating of the nearest zone • Touch History — Untouched / N touches / Exhausted • Status — INSIDE ZONE / APPROACHING / FAR FROM ZONE ───────────────────────────────────── ⚙️ KEY SETTINGS ───────────────────────────────────── • Swing Length — zone detection sensitivity • Zone Width — ATR / Fixed / Auto • Decay Speed — how fast zone scores degrade over time • HTF Zones — overlay zones from a higher timeframe • Display Mode — Full / Clean / Scalper • Screenshot Mode — show all zones simultaneously ───────────────────────────────────── 📈 COMPATIBLE INSTRUMENTS ───────────────────────────────────── Forex : EURUSD, GBPUSD, XAUUSD, USDJPY, GBPJPY Crypto : BTCUSDT, ETHUSDT, SOLUSDT Indices: NAS100, SPX500, US30, DAX Best timeframes : H1, H4, Daily Scalping available: M5, M15, M30 ───────────────────────────────────── 💡 HOW TO USE ───────────────────────────────────── 1. Find VIRGIN zones (teal) near current price 2. Check Zone Bias — trade Demand only in Bullish, Supply only in Bearish 3. Check Zone Score — higher = stronger zone 4. Check Market Regime: TRENDING→ trade breakouts through zones RANGING → trade bounces from zones ACCUMULATING → highest zone reliability ───────────────────────────────────── ⚠️ NOTICE ───────────────────────────────────── Market Memory Map is an analytical framework, not a signal generator. Always apply your own risk management. Built with Pine Script® v6.
Indikator Pine Script®
oleh LunqFX
Directional Strength and Momentum Index - Scoring Engine█ OVERVIEW Directional Strength and Momentum Index - Scoring Engine is an indicator designed to analyze market strength and directional bias. It is a technical analysis tool inspired by the classic DMI. Unlike the standard approach based on DM+/DM− values calculated directly from high/low differences, this indicator uses an alternative methodology built on candle size relationships (body or full range), candle direction, and EMA smoothing. As a result, price impulses are weighted differently, allowing for a more flexible interpretation of trend phases, consolidation, and market volatility. Directional Strength and Momentum Index - Scoring Engine is an advanced evolution of the earlier Directional Strength and Momentum Index version. The new release expands the original concept with a multi-factor scoring system, an additional signal confirmation layer (secondary confirmation), TP/SL management features, and an advanced analytical dashboard. █ CONCEPTS The indicator was designed as an expansion of the earlier, simpler DSMI version in order to fully utilize its analytical potential. The added components do not change the core concept of the model, but extend it with additional analytical dimensions and greater flexibility in signal construction. The expanded scoring system allows users to freely shape signal-generation logic by modifying weights, filters, and entry conditions, making the indicator adaptable to different trading styles and markets. The introduction of secondary DSMI and secondary DS adds an additional confirmation layer that enables: • better filtering of false signals • evaluation of momentum consistency across multiple levels • more precise differentiation between impulse and correction phases As a result, the final version of the indicator becomes a multi-layered market strength and momentum analysis system, where each layer serves a distinct and complementary role. DSMI Core The main market strength index on a 0–100 scale. • measures the current level of buying or selling dominance (market state) • based on the relationship between cumulative bullish and bearish movement strength • EMA-smoothed to reduce noise • defines the core market regime (weak / moderate / strong) • serves as the foundation of the entire scoring system DSMI Core describes “where market strength currently is” (state / level). Directional Strength (+DS / -DS) A layer describing real-time market pressure. • +DS = bullish movement strength • -DS = bearish movement strength • dependent on candle direction and size (body or full range) • EMA-smoothed • determines which side of the market currently dominates price expansion DS describes the structure of buying/selling dominance within candle flow. Momentum Layer A layer describing the dynamics of market strength changes (DSMI slope / velocity). • rising DSMI = accelerating dominance of one market side • falling DSMI = weakening or fading trend strength • secondary DSMI = additional confirmation of momentum changes • DS changes indicate acceleration or weakening of impulse strength The Momentum Layer describes “how market strength changes” (velocity / rate of change). Scoring Engine A point-based system evaluating the quality of potential trading signals. Each component adds or subtracts points: • trend strength (weak / moderate / strong DSMI regime) • DSMI momentum (rising / falling confirmation) • DS expansion (+DS / -DS growth) • SMA alignment • candle size relative to volatility • extreme DS values (overextension) • trend weakening (DSMI or DS weakening) • secondary confirmation layer The final result is a weighted score calculated separately for LONG and SHORT setups (0–100). █ FEATURES DSMI Parameters • calculation source (Body Only / Full Range) • DSMI signal length • secondary DSMI length DSMI Display • main DSMI line (trend strength) • optional secondary DSMI line • color changes based on market direction DS Lines • +DS (buying pressure) • -DS (selling pressure) • secondary DS as confirmation • strength relationship visualization (fill between lines) Trend Strength Levels • weak / moderate / strong • defined by DSMI thresholds • determine when scoring can activate signals Neutral Zones • neutral +DS / -DS range • area of no clear market dominance • filters directionless movement and low volatility • configurable levels such as 40/60 • within this range, both the oscillator and candles may be colored gray (or another selected color) to indicate the absence of directional dominance, often associated with consolidation or low-activity phases Extreme Zones • extreme DS value levels • visual overbought / oversold bands • detection of excessive price expansion • changing band levels affects the width of the area where scoring penalties are applied for entries into extreme zones Scoring Signals • LONG / SHORT signals generated by the scoring engine • activated after exceeding a threshold • candle direction filter • signals represent movement quality, not automatic trade execution decisions Scoring Weights • trend strength • momentum • DS expansion • SMA alignment • candle size vs volatility • penalties for weakening conditions and extremes • secondary confirmation █ APPLICATIONS 1. Trend Following The primary application is trading in trending market environments where DSMI and DS maintain directional consistency without chaotic dominance shifts. The key is observing whether DSMI and +DS / -DS move in the same direction and maintain matching color structure. Such conditions indicate stable market-side dominance and may be used as: • a trend-quality filter • confirmation for signals from other systems • context for entries based on price action and market structure 2. Momentum Trading The system helps evaluate whether a move is genuinely gaining strength or merely producing corrective fluctuations. • rising DSMI + rising DS = increasing momentum • falling DSMI + falling DS = fading movement strength This makes it easier to distinguish impulsive moves from corrections. 3. Consolidation Filtering With neutral zones configured, for example at 40/60: • DSMI remains within the middle range • +DS and -DS stay balanced • no clear market dominance exists Under such conditions: • the market often enters consolidation • volatility becomes limited • scoring signals naturally become less frequent and more selective 4. Scoring-Based Entries (Primary Use Case) Entries are generated exclusively by the scoring engine, but their interpretation should always consider overall market context. Signals should be filtered using: • support and resistance levels • Fibonacci zones • pivot points • order blocks • market structure and liquidity • potential exhaustion after impulsive moves The best entries occur when: • the scoring value is high • there is no nearby major support/resistance zone • other tools do not indicate movement exhaustion █ NOTES The indicator performs best after DSMI, DS, and scoring parameters are adjusted to fit the user’s strategy and market conditions. It is recommended to use the indicator together with other technical analysis tools such as Fibonacci levels, order blocks, pivot points, and RSI.
Indikator Pine Script®
oleh Uncle_the_shooter
Lorentzian Dreamer Retrieval Architecture (DAFE)Lorentzian Dreamer Retrieval Architecture A Unified Framework for Probabilistic Market Analysis, Integrating Memory Retrieval and Generative World Modeling █ CHAPTER 1: THE PHILOSOPHY - MEMORY REMEMBERS. DREAM IMAGINES. Traditional technical analysis operates on a core assumption: that the future will resemble the past. It employs indicators to search for historical patterns, assuming that a pattern that resolved bullishly before will do so again. This is a one-dimensional view, often blind to the infinite nuance of context. What if the market is in a different volatility regime? What if the underlying order flow is different? What if the macro-structure has changed? The Lorentzian Dreamer Retrieval Architecture (LDRA) was created to address this fundamental problem. It is not a predictive "signal" generator; it is a sophisticated, dual-core engine designed to model the market's probable future path by synergizing two powerful, opposing concepts: The Memory (The Retrieval Engine): This is the system's "past." It is a powerful k-Nearest Neighbors (k-NN) engine that uses a Lorentzian distance kernel to search through hundreds of past market states. It finds the historical moments that are most geometrically similar to the current moment and retrieves what happened next. It asks: " When the market looked and felt exactly like this before, what was the outcome? " The Dream (The Imagination Engine): This is the system's "future." It is a simplified "World Model," inspired by concepts from advanced computational theory. It has learned a mathematical representation of the market's "rules of motion." It takes the current market state as a seed and runs thousands of forward-looking simulations—"dreams"—to explore a vast tree of possible future trajectories. It asks: " Given the current state and the learned rules of physics, what are the most probable future paths? " The LDRA is the unification of these two forces. It is a system that grounds its imagination of the future in its memory of the past. The final output is not a simple buy or sell arrow, but a rich, multi-dimensional analysis of the market's state, its probable direction, and the system's confidence in its own analysis. It is a tool for thinking in probabilities, not certainties. █ THE LDRA CORE ARCHITECTURE - A DEEP DIVE INTO THE ENGINES This is not a simple "mashup." It is a hierarchical, multi-stage processing pipeline where each component performs a specific, critical function. THE ENCODER - From Chaos to Coherence The market is a sea of noisy data—RSI, MACD, Volume, Volatility, and dozens of other metrics. The first step is to transform this high-dimensional chaos into a low-dimensional, coherent representation. The LDRA does this with an "Encoder," a fixed neural network-style layer that takes in 13+ raw market features and compresses them into a 6-dimensional "latent vector." This vector is a unique mathematical fingerprint, a "state," that encapsulates the essential character of the current market condition. This is the language the rest of the system speaks. THE RETRIEVAL ENGINE - The Power of Lorentzian Memory This is the system's memory bank. It stores hundreds of past latent vectors and their known outcomes. When a new state is encoded, this engine's job is to find the most similar memories. Why Lorentzian?: Standard k-NN uses Euclidean distance (a straight line), which is brittle. A single outlier feature can make two otherwise similar states appear distant. The Lorentzian Kernel (log(1 + d^2)) is a more robust distance metric used in advanced statistics. It is far less sensitive to outliers, allowing it to find more meaningful and robustly similar historical states. It is a superior memory retrieval mechanism. The Output: The engine retrieves the k (e.g., 8) most similar past states and performs a similarity-weighted aggregation of their outcomes. The result is the Lorentzian Prediction (lor_pred)—a powerful forecast based purely on historical precedent. THE IMAGINATION ENGINE - The "Dreamer" World Model This is the forward-looking, generative component. It is a simplified World Model that has learned the "transition dynamics" of the market—how one latent state is likely to evolve into the next. How it "Dreams": It takes a seed state (either the current state or a retrieved memory state) and projects it one step into the future using its learned transition model. It then takes that future state and projects it again, and again, for a set "depth." This creates a single "dream"—a plausible future trajectory. The Rollouts: The engine doesn't just have one dream. It runs multiple "rollouts," each time injecting a tiny amount of structured noise to explore different branches of the probability tree. It then aggregates the outcomes of all these imagined futures. The Output: The result is the Dream Residual (WM_RESID)—the model's expectation of the future, generated from its internal understanding of market physics, completely independent of the historical retrieval. It also calculates its Uncertainty in this prediction. THE FUSION & GATING MECHANISM This is where memory and imagination are unified. The system calculates a Trust Gate score. This score is high if the Memory and Dream engines agree, if the Dream engine is certain of its own prediction, and if the system's historical prediction error is low. This gate then determines how much of the "Dream" is blended with the "Memory." The Result: A Fused Score that is primarily driven by historical data (the Lorentzian prediction) but is intelligently nudged and refined by the forward-looking imagination of the Dreamer engine. The final Fused Confidence is a blend of the retrieval confidence, the imagination certainty, and the Trust Gate itself. █ THE LIBRARY ECOSYSTEM - A SYMPHONY OF CONFLUENCE The LDRA is the central hub, but it is made exponentially more powerful by its seamless integration with other DAFE libraries. MarketStructureLib (MSL): This library provides the structural map of the battlefield. It performs a deep, quantitative analysis of market structure, identifying swing points, liquidity corridors, volume profiles, and "siege" levels under repeated attack. The LDRA ingests this data, using proximity to a significant structural level (like a siege resistance or a volume profile POC) as a powerful confluence factor. This grounds the LDRA's abstract analysis in the concrete reality of support and resistance. DafeRCMLib (RCM): This is the system's final conviction layer. The LDRA's final prediction, along with intelligence from the MSL and its own internal footprint delta, is injected as "External Evidence" into the RCM engine. The RCM's Integrity score—its confidence in the current market's "truthfulness"—is then used as a master filter and confidence booster for the LDRA's output. A high-confidence LDRA prediction during a low-integrity RCM state is a warning of a potential trap. DafeVisualsLib (Viz): This is the canvas upon which this complex data is painted. The LDRA leverages the VizLib's advanced rendering capabilities, including its theme engine and drawing helpers, to create the stunning and information-rich 3D manifold visualization. It is the engine that translates the abstract mathematics into an intuitive, perceptual experience. The Footprint Data Source: The indicator's "order flow" sense is powered by TradingView's request.footprint() data when available on the selected asset. This provides real, tick-level buy vs. sell volume data. In a demonstration of robustness, if native footprint data is not available, the system automatically and gracefully falls back to a sophisticated Synthetic Footprint Engine that estimates the delta from OHLCV data, ensuring universal functionality. █ THE VISUALIZATION ENGINE - THE 3D MANIFOLD The LDRA's output is a high-information-density, three-dimensional, animated data visualization called the "Manifold." This is a rendering engine built using the DafeVisualsLib, designed to give you an intuitive, "at-a-glance" feel for the flow of market possibilities. The 3D Engine: The entire manifold is rendered in a simulated 3D space with a perspective camera. You can control the Camera Tilt Angle and Perspective Strength to change your viewpoint. An optional Auto-Rotate feature provides a cinematic view for presentations. The Wireframe Manifold Mesh: The core visual is a flowing, ribbon-like structure. This is the historical trajectory of the market's latent state, projected into 3D space. Longitudinal Curves: The main lines that flow from past to present, representing the path of the market's "fingerprint" through time. Latitudinal Curves: The cross-ribs that give the manifold its shape, colored by the market regime at that point in time (e.g., Green for Trend, Red for Mean-Reversion). The Memory Nebula: This is a 3D scatter plot of historical memory points that are relevant to the current state. They appear as glowing particles within the manifold, showing you the "constellation" of past events that are influencing the current prediction. The k-NN Constellation Lines: When the retrieval engine is active, faint, dotted lines are drawn from the current point on the manifold back to the specific memory points in the Nebula that it has identified as the "k-Nearest Neighbors." This gives you a direct, visual confirmation of which past events are informing the present analysis. The Dream Projection: From the very tip of the manifold (the current bar), the system projects several faint, glowing "ghost" trajectories into the future. These are the "dreams"—the possible future paths imagined by the World Model. Their convergence or divergence gives you an immediate sense of the model's certainty. The Iso-Reference Planes: To ground the 3D visualization, the engine draws a horizontal grid plane (the "floor") and a vertical "Scanner Slice"—a translucent plane that helps you perceive depth and position within the manifold. █ THE COMPLETE USER MANUAL - INPUT CONFIGURATION Every parameter of the engine is exposed for professional-level fine-tuning. Understanding these controls is key to mastering the LDRA. LDRA Core Engine Memory Lookback: The number of past bars the k-NN engine searches through. A larger value provides a richer memory bank but may increase script loading time. KNN Neighbors: The number (k) of most similar historical patterns to retrieve. A smaller k (3-5) makes the prediction sensitive to very specific matches. A larger k (10-15) creates a smoother, more generalized prediction. Outcome Horizon: The number of bars into the future the system looks at to determine the "outcome" of a past event. A shorter horizon trains the system for scalping; a longer horizon trains it for swing trading. Base Gamma: Controls the "width" of the Lorentzian distance kernel. A lower gamma makes the search highly sensitive to small differences. A higher gamma allows for more "fuzzy" matches, focusing on the overall geometric shape of the state. Latent Dim: The number of dimensions in the encoded state vector. Higher dimensions can capture more nuance but require more data to be effective. 6 is the recommended balance. WM Base LR: The base "Learning Rate" for the Dreamer (World Model). This controls how quickly the model updates its internal understanding of the market's transition dynamics. Imagination Depth & Paths: Depth is how many steps into the future each "dream" runs. Paths is the number of separate "dreams" (rollouts) it simulates on each bar. Discount: A factor that determines how much the Dreamer values immediate rewards versus distant ones in its simulations. Warmup Bars: The number of historical bars the system must process to build its initial memory bank before it begins making predictions. Min Similarity: The minimum similarity score required for a historical pattern to even be considered by the k-NN engine. Acts as a quality filter. Manifold Visualization Theme: Select from a suite of professionally designed color palettes to customize the entire visual experience. Ribbon Span & Stride: Span controls the historical length of the manifold ribbon. Stride is a performance setting that controls how frequently the latitudinal ribs are drawn. Ribbon Height & Depth: These control the vertical and Z-axis scaling of the 3D manifold in the indicator pane. Camera Controls (Tilt, Auto-Rotate, Perspective): Direct control over the 3D camera, allowing you to change your viewpoint and add cinematic effects. Visual Toggles (Constellation, Nodes, Grid, Nebula, Isosurf): Enable or disable specific layers of the visualization to create a cleaner or more data-rich view. Dashboards & Other Libraries The inputs for RCM, MSL, and the Dashboards are extensive. They allow you to fine-tune every aspect of the confluence libraries, from pivot lengths in the Market Structure Engine to the display size and position of the diagnostic panels. Please refer to the dedicated publications for those libraries for a full breakdown. █ INTERPRETING THE DASHBOARDS State Dashboard: This is your high-level summary. Confluence: The primary output. It shows the Score (the strength of agreement between all engines) and the Components (how many engines are in agreement). Lor / Flow / RCM / Structure: A breakdown of the individual signals from the Lorentzian engine, the Footprint/Delta engine, the RCM, and the MSL. Regime: The current market personality (e.g., Trend, MeanRev). Diagnostics Dashboard: A look under the hood for the advanced analyst. Lor Pred & Assurance: The raw prediction from the memory retrieval and its statistical confidence. Dream Resid & Unc: The raw prediction from the imagination engine and its uncertainty. WM Accuracy & Pred Err: A real-time measure of how well the Dreamer engine is predicting the market's next move. Trust Gate: The final score that determines how much the system trusts its own imagination vs. its memory. █ DEVELOPMENT PHILOSOPHY The Lorentzian Dreamer Retrieval Architecture is a culmination of years of research into the intersection of physics, computer science, and financial markets. It was born from the belief that the future of technical analysis is not about finding a better lagging indicator, but about building better models of the market itself. This tool is a step in that direction. It is for the serious trader, the quantitative analyst, and the systems thinker who is not just looking for signals, but for a deeper, more profound understanding of the probabilistic nature of the market. █ DISCLAIMER AND BEST PRACTICES THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides a sophisticated probabilistic analysis, not direct financial advice. It is a decision-support tool designed to be the centerpiece of a comprehensive trading framework. RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The probabilities and scores are based on historical data and statistical models, not guarantees of future outcomes. USE THE FULL CONTEXT: Do not trade based on a single number. The highest-quality insights come from confluence across all engines. A high "Confluence Score" on the main dashboard is the most robust output. Check the RCM "Integrity" and the "Market State" before acting. GIVE IT TIME TO BUILD MEMORY: The indicator requires a "Warmup" period to build its initial memory bank. Its analysis will become progressively more robust as it processes more data. **This script is heavy. "The art of prophecy is very difficult, especially with respect to the future." — Mark Twain — Dskyz, Trade with insight. Trade with anticipation. (Don't follow the trend, be the trend)
Indikator Pine Script®
oleh DskyzInvestments
2
Scalping Signals (Range Filter + EMA)Scalping Signals Range Filter + EMA Gate Indicator — Confirmed Signals The Indicator is a trend-following and momentum confirmation tool designed to identify high-probability BUY and SELL opportunities while filtering out market noise and low-quality signals. This indicator combines a dynamic Range Filter system with EMA trend alignment, optional Bollinger filtering, and non-repainting confirmed candle logic to create cleaner market entries. Core Concepts 1. Range Filter Engine At the heart of the indicator is a smoothed Range Filter that adapts to market volatility. The filter acts as a dynamic trend baseline: Price above the filter → bullish pressure Price below the filter → bearish pressure The filter continuously adjusts based on recent market movement, helping reduce false signals during choppy conditions. 2. EMA Gate System The indicator uses a dual EMA gate mechanism: Fast EMA (default: 50) Slow EMA (default: 150) Signals are only allowed in the direction of the active EMA gate: 50 EMA above 150 EMA → long signals only 50 EMA below 150 EMA → short signals only This prevents counter-trend trades and helps align entries with the dominant market structure. 3. Optional EMA 200 Trend Filter An additional higher-timeframe style trend filter can be enabled using the EMA 200. When enabled: BUY signals require price above EMA 200 SELL signals require price below EMA 200 This helps avoid trading against the broader trend. 4. Optional Bollinger Filter The Bollinger filter can be enabled to further validate momentum: Longs allowed only above Bollinger basis Shorts allowed only below Bollinger basis This can help remove weak signals during sideways conditions. 5. Confirmed Non-Repainting Signals The indicator uses confirmed candle logic: Signals only appear after candle close No future candle references No lookahead logic No repainting on closed candles This makes the signals more reliable for live trading and alerts. Features Adaptive Range Filter EMA Gate Direction System Optional EMA 200 Trend Filter Optional Bollinger Confirmation Filter BUY/SELL Signal Labels Confirmed Candle Signals Non-Repainting Logic Heikin-Ashi Source Support Alert Conditions Included Debug Visualization Mode Recommended Usage This indicator works best in trending environments and can be used for: Trend-following strategies Pullback entries Momentum continuation trades Scalping Intraday trading Swing trading Popular timeframes: 1m 5m 15m 1H Alerts Included alert conditions: BUY Signal Confirmed SELL Signal Confirmed EMA Gate Bullish Confirmed EMA Gate Bearish Confirmed For best results, use TradingView alerts with: “Once Per Bar Close” Notes This indicator is designed as a signal and confirmation tool, not a complete trading system. Proper risk management, stop-loss placement, and market context analysis are still required.
Indikator Pine Script®
oleh JOEXYZzz
JELLY MASTER PROJELLY MASTER PRO is a clean institutional-style trading system built for traders who want powerful confluence without chart clutter. The indicator combines: • UT Bot execution • Multi-timeframe trend bias • VWAP positioning • Smart volume confirmation • RSI exhaustion take profits • Stoch RSI momentum • True 5m NY Opening Range (ORB) The goal is simple: Find high-probability continuation trades while keeping the chart clean and readable. ━━━━━━━━━━━━━━━━━━ CORE PHILOSOPHY ━━━━━━━━━━━━━━━━━━ Most traders overload their charts with indicators that conflict with each other. JELLY MASTER PRO was designed to solve that problem by combining multiple professional concepts into ONE modular framework. By default the chart stays clean: • Tiny BUY/SELL labels • VWAP • Optional subtle candle colors Everything else can be turned ON or OFF depending on your trading style. ━━━━━━━━━━━━━━━━━━ HOW TO READ THE SYSTEM ━━━━━━━━━━━━━━━━━━ 1. TREND BIAS The system uses: • EMA trend structure • VWAP positioning • RSI strength • Multi-timeframe alignment Green conditions favor LONGS. Red conditions favor SHORTS. Dark Green / Dark Red candles indicate RSI exhaustion conditions. ━━━━━━━━━━━━━━━━━━ 2. BUY & SELL LABELS ━━━━━━━━━━━━━━━━━━ The BUY and SELL labels are the main execution signals. BUY label: • UT Bot bullish crossover • Trend confirmation • Optional filters if enabled SELL label: • UT Bot bearish crossover • Trend confirmation • Optional filters if enabled These labels are intentionally kept small and clean to avoid chart clutter. ━━━━━━━━━━━━━━━━━━ 3. VWAP ━━━━━━━━━━━━━━━━━━ The black VWAP acts as institutional positioning. Above VWAP: • Bullish environment Below VWAP: • Bearish environment Many traders use VWAP as dynamic support and resistance. ━━━━━━━━━━━━━━━━━━ 4. RSI TAKE PROFIT DOTS ━━━━━━━━━━━━━━━━━━ Green TP dots: • RSI entering overbought conditions during bullish trends Red TP dots: • RSI entering oversold conditions during bearish trends These are designed to help traders: • scale profits • tighten stops • avoid chasing exhausted moves ━━━━━━━━━━━━━━━━━━ 5. TRUE 5M ORB ━━━━━━━━━━━━━━━━━━ The True ORB uses the real NY opening range: 6:30 AM – 6:35 AM PST ORB Resistance: • Red line ORB Support: • Green line These levels often act as: • breakout zones • rejection zones • trend continuation areas Many strong intraday moves begin from ORB expansion. ━━━━━━━━━━━━━━━━━━ 6. DASHBOARD ━━━━━━━━━━━━━━━━━━ The dashboard provides quick market context across multiple timeframes. 5M: Short-term trend 15M: Intraday momentum structure 30M: Primary directional bias 4H: Higher timeframe market regime UT: Current UT Bot state VOL: Strong or weak volume conditions TP: RSI exhaustion status ━━━━━━━━━━━━━━━━━━ BEST WAY TO USE THE SYSTEM ━━━━━━━━━━━━━━━━━━ The highest probability trades usually occur when: • 15M and 30M align • Price is above or below VWAP • Volume expands • UT Bot confirms • ORB breaks with momentum • RSI is NOT already exhausted ━━━━━━━━━━━━━━━━━━ RECOMMENDED DEFAULT SETTINGS ━━━━━━━━━━━━━━━━━━ 30M Fast EMA = 50 30M Slow EMA = 200 15M Pullback EMA = 20 RSI Length = 14 Stoch RSI = 14 / 3 / 3 Volume Multiplier = 1.2 RSI TP Levels: 75 / 25 ━━━━━━━━━━━━━━━━━━ PLAIN JANE MODE ━━━━━━━━━━━━━━━━━━ For clean chart trading: ENABLE: • BUY/SELL labels • VWAP • Dashboard DISABLE: • EMAs • SMA 200 • Bollinger Bands • ORB • Background colors This creates a professional low-clutter trading environment. ━━━━━━━━━━━━━━━━━━ DISCLAIMER ━━━━━━━━━━━━━━━━━━ This indicator is designed as a trading framework and confluence tool. No indicator guarantees profits. Always use: • proper risk management • stop losses • position sizing • market awareness Trade responsibly.
Indikator Pine Script®
oleh StocksOnWatch
Edo A/D Flow CoreEdo A/D Flow Core — Normalized Accumulation/Distribution with Dual Moving Averages, Four-State Histogram and Automatic Divergence Detection The Accumulation/Distribution Line is one of the classic flow indicators of technical analysis, originally developed by Marc Chaikin to refine the On Balance Volume reading by weighting each candle's volume contribution by where it closes within its own range. The concept is sound — flow leaves a trail before price confirms — but the indicator has three serious practical limitations: its scale depends on the ticker's accumulated history, it is not comparable across assets, and it appears visually flat over long periods. Edo A/D Flow Core was built to address those limitations without losing the underlying logic. The indicator preserves the original A/D calculation but transforms it into a clean, zero-centered, cross-asset comparable surface where flow direction, flow acceleration and flow-vs-price divergences can be read at a glance. THE A/D LINE FOUNDATION Each bar contributes to the cumulative A/D series with the classic formula: raw = ((Close − Open) / (High − Low)) × Volume A/D = Σ raw If the candle range is zero, the contribution is forced to zero to avoid division errors. The closer the close is to the high, the more accumulative the bar; the closer to the low, the more distributive. A close in the middle of the range produces a small contribution regardless of how much price moved. ADAPTIVE NORMALIZATION The cumulative A/D would otherwise live on an arbitrary scale that depends on the ticker's volume history. Edo A/D Flow Core applies a sliding zero-centered normalization on a configurable lookback window (default 90 periods): — Identify the highest and lowest values of the A/D in the last N periods — Compute the midpoint (max + min) / 2 — Rescale each value as a percentage from the midpoint relative to the full range: norm = (value − midpoint) / (range / 2) × 100 The resulting series moves within an approximate ±100 range. Values close to +100 mean flow at relative highs of the lookback window; values close to −100 mean relative lows. The same transformation is applied to the moving averages and to the histogram. This is what makes the indicator visually comparable across tickers regardless of their history. AAPL, NVDA or a recently listed stock will all be plotted on the same homogeneous scale. THE TWO LINES Two moving averages are drawn over the normalized A/D: — Fast Line — default cyan, width 2, length 9. Reactive line for short-term flow. — Slow Line — default yellow, width 1, length 21. Reference line for background flow. The user can choose between EMA and SMA for both. EMA is the default. The lines can be hidden individually if the user prefers to work with the histogram only. The relationship between the two carries most of the directional information: Fast above Slow means short-term flow is more bullish than the background; Fast below Slow means the opposite; line crosses mark regime changes. FOUR-STATE HISTOGRAM The histogram is the difference between the two normalized lines. Unlike the standard two-color reading (green above zero, red below zero), Edo A/D Flow Core paints four explicit states: — Bullish Strong — Solid teal — histogram ≥ 0 and greater than the previous bar (acceleration up) — Bullish Weak — Faded teal — histogram ≥ 0 and ≤ previous bar (deceleration up) — Bearish Strong — Solid red — histogram < 0 and less than previous bar (acceleration down) — Bearish Weak — Faded red — histogram < 0 and ≥ previous bar (deceleration down) This differentiation lets you anticipate regime changes before the lines actually cross. A series of Bullish Strong bars giving way to Bullish Weak bars means the bullish flow is still intact but losing inertia — the first warning of a possible bearish cross. A dotted gray zero line is always plotted so the histogram crossing the neutral zone is visible. AUTOMATIC DIVERGENCE DETECTION The indicator detects and draws price-vs-flow divergences automatically using bilateral pivots on the normalized Fast line. Bullish divergence (Bull) — Price prints a lower low than the previous one, but the Fast line prints a higher low. A green line connects both flow lows and a "Bull" label is drawn. Bearish divergence (Bear) — Price prints a higher high, but the Fast line prints a lower high. A red line connects both flow highs and a "Bear" label is drawn. A proximity filter ensures only divergences between pivots within a maximum distance are considered. Pivots are confirmed bilaterally with ta.pivothigh and ta.pivotlow, which guarantees no signal repaints on later bars. SENSITIVITY PROFILE A single input — Divergence Sensitivity — controls the divergence module. It exposes three preset profiles that adjust pivot length and proximity filter together: — Fast — pivot length 3, search range 30. Aggressive detection, more short-term signals, more noise. Useful on intraday or short-swing charts. — Balanced — pivot length 5, search range 60. Default configuration. Recommended for daily and weekly charts. — Slow — pivot length 8, search range 100. Conservative detection, fewer signals but with greater potential reach. Useful on monthly charts and major divergence analysis. Switching profile recomputes all visible divergences instantly. CONFIGURATION — A/D Settings: MA Type (EMA / SMA), Fast Length (default 9), Slow Length (default 21), Normalization Period (default 90) — Display: independent toggles for Fast Line, Slow Line, Divergences and Sensitivity Profile selector — Colors: full customization of histogram (four states), Fast Line, Slow Line, bullish and bearish divergence colors ALERTS The indicator does not include predefined alert conditions. Alerts are configured manually on the public plots, which gives total freedom to the user: — Bullish line cross — alert on Fast Line, condition Crossing Up, reference Slow Line — Bearish line cross — alert on Fast Line, condition Crossing Down, reference Slow Line — Histogram crossing zero — alert on Histogram, condition Crossing, reference 0 — Detected divergences — alert on Bull Div Line or Bear Div Line, condition Greater than 0 or Not equal to NaN Divergences are confirmed with a lag equal to the pivot length of the active profile (3, 5 or 8 bars). This lag is structural — no divergence detector can confirm a pivot without waiting for those bars to its right. HOW TO READ IT A clean reading follows four streams that combine into common patterns. 1 — Read the lines: Fast above Slow means active bullish flow; Fast below Slow means active bearish flow. 2 — Read the histogram color: Bullish Strong / Weak / Bearish Weak / Bearish Strong tell you whether flow is accelerating or decelerating in either direction without waiting for the cross. 3 — Watch for divergences: Bull and Bear labels mark the moments where flow and price disagree, which typically precede corrections or trend changes. 4 — Combine the four streams: clean bullish reactivation (histogram migrating from Bearish Weak to Bullish Strong + line cross + prior Bull divergence), bullish exhaustion (Bullish Strong becoming less frequent + flat Fast line + Bear divergence appearing), bearish capitulation (consecutive Bearish Strong bars + extreme negative Fast values + Bull divergence) and silent distribution (sideways price + histogram migrating quietly to Bearish Weak + Fast drifting below Slow). OPEN SOURCE Edo A/D Flow Core is published as a free open source indicator. The full Pine Script is publicly accessible on TradingView for study, adaptation and integration into any workflow. Part of the Edolab Markets free tools ecosystem alongside Edo EMA Core Cross, Edo Sentiment Map, Edo SuperTrend Core, Edo TRIX Core Cross, Edo RSI Dual, Edo Multi Stoch and Edo ZigZag Auto Fib SR. This indicator is a technical analysis tool for educational and informational purposes only. It does not generate automatic buy or sell signals and should not be considered financial advice. Trading financial markets involves significant risk of capital loss. Past performance does not guarantee future results. Always use proper risk management.
Indikator Pine Script®
oleh EdoLab-Markets
MSL Momentum Deviation Channel MSL Momentum Deviation Channel is a momentum-state oscillator developed by MarketStructureLab. The indicator is designed to evaluate not only the direction of price movement, but also the strength of momentum relative to current volatility. It uses a two-stage normalization process: first, price is normalized inside a volatility envelope based on a moving average and standard deviation; then the resulting momentum oscillator is normalized again through its own standard-deviation structure. This creates a momentum line that is less dependent on the absolute price level and more focused on the current state of market impulse, trend pressure, overextension and possible momentum loss. What the indicator shows The main BMD line represents normalized momentum deviation. It measures where the current price-driven impulse sits relative to its own volatility structure. The line color reflects the active market state: Bull color, green, means the indicator is in an active bullish state after crossing above the upper threshold. Bear color, red, means the indicator is in an active bearish state after crossing below the lower threshold. Gray means the market is neutral or no confirmed momentum state has been triggered yet. Raw BMD, shown in gray, displays the first-pass oscillator before the second filtering stage. It can be used to compare raw impulse with the filtered BMD state. The OB zone shows an overbought or overheated momentum area. When BMD is above the OB Level, the market may be extended to the upside. The OS zone shows an oversold or downside-extension area. When BMD is below the OS Level, the market may be extended to the downside. Important: OB and OS zones are not automatic entry signals. They are context zones that help evaluate the state of momentum. How signals are generated A Bull signal appears when BMD crosses above the Bull Threshold. The default Bull Threshold is 80. A Bear signal appears when BMD crosses below the Bear Threshold. The default Bear Threshold is 20. After a Bull or Bear signal appears, the state remains active until the opposite signal is triggered. This helps the indicator focus on momentum-state transitions instead of reacting to every small fluctuation. The Cooldown filter sets the minimum number of bars required between Bull and Bear flips. This helps reduce clusters of rapid state changes in noisy or sideways market conditions. How to read the indicator A Bull label on the price chart means that momentum has shifted into a bullish state. A Bear label on the price chart means that momentum has shifted into a bearish state. If the BMD line is green and remains above the mid area, bullish momentum is still active. If the BMD line is red and remains below the mid area, bearish momentum is still active. If the BMD line frequently changes color around the middle of the range, the market may be in a noisy, sideways or indecisive phase. If BMD moves into the OB zone, it does not automatically mean that a bearish trade should be opened. It means the upside impulse is extended, and further confirmation is needed before treating it as a reversal or exit signal. If BMD moves into the OS zone, it does not automatically mean that a bullish trade should be opened. It means the downside impulse is extended, and further confirmation is needed before treating it as a reversal or recovery signal. What problem it helps solve Traditional trend indicators often react with delay because they follow price. Classic oscillators can produce too many countertrend signals during strong trending moves. MDC combines elements of both approaches: 1. From trend-following tools, it uses the idea of confirmed market states. A signal appears only after BMD crosses a defined threshold, not after every small movement. 2. From oscillators, it uses normalization. The value is not based on absolute price, but on momentum relative to current volatility. 3. The two-stage standard-deviation process helps smooth part of the noise that may remain after the first normalization stage. 4. The Cooldown filter helps prevent frequent back-to-back flips during choppy conditions. As a result, the indicator can be used as a structured momentum-context tool for identifying bullish and bearish state transitions, overheated zones and downside-extension zones in one separate pane. Recommended timeframes H1 and higher. H1 can be used for intraday swing analysis. Signals appear more frequently, but market noise is also higher. H4 is the most balanced timeframe for many swing scenarios. The default settings are designed to work well in this mode. D1 is suitable for position analysis and calmer trend-state tracking. W1 can be used as a higher-timeframe momentum filter to understand the broader market direction. The indicator can be used below H1, but lower timeframes usually require more careful tuning because noise increases significantly. Suggested presets H1: baseLen = 25 sdLen = 35 mult = 2.0 Cooldown = 5–10 This setup is more reactive and can produce more frequent signals. H4: baseLen = 40 sdLen = 50 mult = 2.0 Cooldown = 5 This is the default balanced swing setup. D1: baseLen = 50 sdLen = 60 mult = 2.2 Cooldown = 0–5 This setup is smoother and better suited for longer trend moves. W1: baseLen = 60+ sdLen = 60+ mult = 2.2 This mode is better used as a higher-timeframe direction filter rather than a frequent signal tool. Markets MDC is most useful on markets that tend to produce clear impulse phases, such as crypto, indices, growth stocks, liquid futures and major forex pairs. In tight sideways ranges, any momentum-based tool can produce weaker or more frequent false transitions. For this reason, MDC should be used together with market structure, levels, volatility context and higher-timeframe analysis. Settings Base Length controls the length of the main moving average used for the volatility envelope. Higher values make the indicator smoother and slower. SD Length controls the standard-deviation calculation length. Higher values create more stable but slower filtering. SD Multiplier controls the width of the volatility envelope. Higher values make extreme conditions less frequent. Bull Threshold defines the level above which BMD switches into a bullish state. Bear Threshold defines the level below which BMD switches into a bearish state. Cooldown defines the minimum number of bars between Bull and Bear state changes. OB Level and OS Level define overbought and oversold context zones. These are not automatic trade signals. Practical usage logic A Bull signal is stronger when it appears after compression, after a sideways phase, or in alignment with a bullish higher-timeframe context. A Bear signal is stronger when it appears after momentum loss, after a local structure breakdown, or in alignment with a bearish higher-timeframe context. The OB zone can be useful for evaluating upside extension, managing an existing position, taking partial profits or waiting for signs of momentum weakness. The OS zone can be useful for evaluating downside extension, watching for reaction areas or waiting for momentum recovery. The best way to use MDC is as a momentum-context tool, not as a complete trading system. It helps identify the current state of impulse, but it does not replace risk management, price structure, levels, position sizing or a complete trading plan. Alerts The script includes alerts for: BMD Bull BMD Bear BMD Overbought BMD Oversold Disclaimer This indicator is for market analysis and educational purposes only. It is not financial advice and it is not a stand-alone buy or sell system. Always use proper risk management and your own trading plan.
Indikator Pine Script®
oleh MarketStructureLab
2
SD Stochastic RSI TrendSD Stochastic RSI Trend SD Stochastic RSI Trend is a trend-following indicator that combines a percentile-based standard deviation filter with a Stochastic RSI momentum confirmation — identifying high-conviction directional moves while keeping exits fast and responsive. The result is a dynamic line that moves with the market — turning blue when a bullish trend is confirmed and red when bearish, with a fill between the line and price for clear visual trend identification. How It Works Two independent systems validate whether a trend change is genuine: Standard Deviation Filter — a percentile median is calculated from a configurable price source. The standard deviation of this median defines an upper statistical boundary. Price must close above this boundary for a long and below it for a short — ensuring only statistically significant moves trigger a signal Stochastic RSI — measures where the RSI is relative to its own recent range. K must be above D for a long — confirming that momentum is genuinely building in the bullish direction. The Stochastic RSI is only required for long signals, making short exits faster and more responsive than entries The long condition requires both systems to agree simultaneously. The short condition only requires the SD filter — exits are deliberately faster than entries. Why This Approach Works Most trend indicators rely on price position alone to detect direction. SD Stochastic RSI Trend adds a second independent layer — momentum confirmation via Stochastic RSI — ensuring that a long signal only fires when price is statistically above its own median boundary AND momentum is genuinely building. This eliminates weak or noise-driven entries where price crosses a level without real conviction behind it. The asymmetric design is intentional and reflects the structural reality of markets like crypto. Longs require both conditions — statistical price strength and momentum confirmation. Shorts only require the SD filter — allowing quick exits when the statistical boundary is lost without waiting for momentum to fully confirm. Settings Median Source — Price source for the percentile median calculation (default: hl2) Median Length — Lookback period for the percentile median (default: 62) SD Length — Lookback period for the standard deviation calculation (default: 30) K — Smoothing period for the Stochastic K line (default: 25) D — Smoothing period for the Stochastic D line (default: 8) RSI Length — Lookback period for the RSI calculation (default: 9) Stochastic Length — Lookback period for the Stochastic calculation (default: 30) Use Bar Coloring — Colors bars based on the current trend state (default: true) Color Background — Enables background coloring of the chart based on the current state (default: false) Background Transparency — Controls the transparency of the background color (default: 85) How to trade it Long — when the line turns blue and sits below price with a blue fill above it, both systems have confirmed a bullish trend. This is the signal to look for long entries or to hold existing long positions Short / Cash — when the line turns red and sits above price with a red fill below it, the statistical boundary has been lost. This is the signal to exit longs, move to cash, or look for short entries depending on your strategy Avoid trading against the trend — if the line is red do not look for longs, if the line is blue do not look for shorts Recommended Usage Best used on the 1D timeframe for clean and reliable trend identification Should not be used alone for trade entries — combine with an additional volume or structural indicator for confirmation The asymmetric design makes this indicator particularly well suited for bullish-biased markets like crypto — longs require full confirmation while shorts are fast and decisive Higher Stochastic Length values smooth the momentum signal — lower values make it more sensitive to short-term momentum shifts Adjust Median Length and SD Length together to control how wide the statistical boundary is — longer values create more stable signals, shorter values make the indicator more reactive All signals are confirmed on bar close.
Indikator Pine Script®
oleh Unknownhodler
Dynamic Range RSI [DefinedEdge]🔍 OVERVIEW Really excited to release this one. I've been working on this for a while and it solves something that always bugged me about RSI: the fixed lookback period. Markets don't move at one speed, so why should your oscillator? Dynamic Range RSI rethinks the standard RSI by replacing the fixed lookback with a volatility-adaptive engine. The indicator reads the current ATR regime and automatically adjusts its period. Shorter when markets are volatile, longer when they're quiet. No manual switching, no lag when it matters. It also layers in divergence detection and a higher-timeframe confluence ribbon so you're not trading the oscillator in isolation. ⚙️ HOW IT WORKS The core calculation uses a range-normalized momentum formula instead of standard RSI math. Price changes are weighted by the current high-low range, which makes the output cleaner during trending moves and less prone to false signals during chop. The adaptive length is driven by an ATR ratio (fast ATR vs slow ATR). When volatility spikes, the RSI period compresses toward the minimum. When volatility drops, it stretches toward the maximum. Responsive during breakouts, smooth during consolidation. 🎯 FEATURES → ATR-adaptive RSI length (user-defined min/max range) → Range-normalized momentum calculation → 4 smoothing methods: EMA, SMA, RMA, TMA → Automatic divergence detection (pivot-based, configurable lookback) → Higher-timeframe confluence ribbon (auto or manual HTF selection) → Signal line crossover dots filtered to OB/OS zones only → 6 built-in alert conditions → Dynamic length visible in status line 📊 SIGNALS • Green circles: signal line cross up inside oversold zone • Red circles: signal line cross down inside overbought zone • "Bull" labels: bullish divergence (price lower low, RSI higher low) • "Bear" labels: bearish divergence (price higher high, RSI lower high) • Background shading: HTF ribbon turns green/red when the higher timeframe agrees on OB/OS 💡 USAGE TIPS Works on any market, any timeframe. For crypto I like the 4H. The adaptive length flexes between roughly 1 to 5 days of lookback which catches momentum shifts well. For scalping, 15min with HTF pulling from 4H gives solid confluence. If the dynamic length stays pinned at minimum too often, bump the Min Length up to 8-10 to smooth it out.
Indikator Pine Script®
oleh DefinedEdge
Aurelian Auction Ledger [JOAT]Aurelian Auction Ledger Introduction Aurelian Auction Ledger is an open-source range and auction analysis overlay designed to identify compressive trade zones, map their internal value structure, and show how price behaves when it tests the edges of that ledger. The script builds a live range shell, calculates a point of control and value area, tracks sweep events, and presents the active auction state in a top-right dashboard. The problem Aurelian solves is hidden range structure. Consolidation zones are often treated as simple rectangles, but not all ranges are equal. Some are balanced, some lean toward accumulation, some toward rejection, and many fail through one-sided sweeps before resolving. Aurelian turns that internal auction structure into something visible. Core Concepts 1. Compression-based ledger build The script measures whether recent bars are tight enough in ATR terms, efficient enough in body structure, and balanced enough in directional pressure to qualify as a live auction ledger. 2. Range shell and internal value area When a ledger is active, the script draws: The outer ledger shell The internal value area The point of control This separates broad range boundaries from the price zone where most business is actually being done. 3. Right-side auction profile Volume is accumulated across profile rows inside the active ledger so the script can identify the highest-volume row and estimate the value area around it. 4. Sweep tracking Upper and lower sweep events are tracked only on confirmed bars. This helps distinguish clean acceptance from failed range probes. 5. Ledger tilt The indicator maintains a directional tilt metric so the range shell is not displayed as neutral by default. If the auction begins leaning toward acceptance or rejection, the color balance reflects that change. Features Compression-driven range detection: Searches for structured auction zones rather than generic boxes Live range shell: Displays the active ledger high, low, and midpoint Point of control and value area: Maps where the auction is most concentrated Right-side profile: Extends the auction structure visually beyond the current bar Sweep detection: Tracks confirmed probes beyond the ledger edges Auction tilt readout: Shows whether the range is leaning toward acceptance or rejection Top-right dashboard: Reports mode, compression, width, POC, value area, sweeps, and tilt Non-repainting event logic: Sweep and breakout conditions are confirmed on bar close Input Parameters Ledger Core: ATR Length Ledger Build Bars Compression Ceiling Body Efficiency Ceiling Directional Balance Ceiling Breakout Buffer Auction Profile: Profile Rows Profile Width Value Area Coverage Visuals: Show Range Shell Show Right-Side Profile Show Sweep Marks Tint Auction Bars Show Dashboard How to Use This Indicator Step 1: Confirm that a ledger is live Check the dashboard mode first. If the ledger is not active, the script is still scanning for a qualified auction structure. Step 2: Watch the POC and value area These levels show where the auction is concentrated and whether price is rotating inside value or challenging the edges. Step 3: Track sweeps versus acceptance Confirmed sweep events can mark failed probes. If price repeatedly sweeps one side and returns, the ledger is revealing where excess is being rejected. Step 4: Use tilt as context, not prediction Ledger tilt helps interpret which side has more pressure, but the actual resolution still depends on whether price ultimately accepts outside the shell. Indicator Limitations The script is designed for structured ranges and will naturally stand down during broad directional moves Volume distribution inside a candle is approximated using row allocation rather than true intrabar order flow A qualified ledger can still break without first producing a sweep event Originality Statement Aurelian Auction Ledger is original in how it combines a compression-qualified range state, an internal profile-derived value area, sweep tracking, and directional tilt into a single clean overlay. It is published because: The script distinguishes a structured auction ledger from a generic consolidation rectangle It combines shell, POC, value area, and sweep tracking in one coherent range workflow The tilt metric provides additional auction context without cluttering the chart with heavy labels Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. Range structures can fail abruptly, and volume-based value estimates are still interpretations of historical trading activity. Always use independent judgment and proper risk management.
Indikator Pine Script®
oleh officialjackofalltrades
VP + Smart HiLo [I.M]🟣 Overview Volume Profile + Smart HiLo Engine ("HLS+ ") is a discretionary context tool that unifies three complementary structure components into a single overlay: a progressive HiLo Stairs structure, a clean Volume Profile reference panel (POC / VAH / VAL), and a confluence-filtered Smart HiLo Engine with adaptive ribbon and force-scored flip signals. The screenshot below shows everything working together on BTCUSDT (Binance) on the 15-minute timeframe — refer back to it throughout the description, since each section refers to the same chart. 📊 Live example chart: 🟣 What You See on the Chart Looking at the example image: - The blue / purple ribbon flowing through the candles is the Smart HiLo ribbon. Blue means HiLo state is bullish (close above the adaptive HiLo channel), purple means bearish. Rendered as a 3-layer glow for clarity without dominating the chart. - Each "FLIP" label with a force number (e.g. "FLIP 71") is a confluence-qualified flip — the ribbon changed direction AND the move passed both the force threshold and the POC confluence filter. Low-quality flips appear as small discreet triangles only. - A "★ STRONG BEAR ★" or "★ STRONG BULL ★" highlight (e.g. "Force 91" in the example) is a premium signal: force score reached the premium threshold (default 85), indicating strong alignment of volume, body and ATR distance. - The horizontal stair levels labeled HH / HL / LH / LL are the HiLo Stairs — progressive swing levels. Blue stairs mean higher highs / higher lows (bullish), purple stairs mean lower highs / lower lows (bearish). Each stair has a subtle halo glow. - The side labels "POC", "VAH" and "VAL" on the right edge show the current Point of Control and Value Area boundaries of the rolling Volume Profile, with precise prices. Their dashed/dotted lines extend back across the lookback window. - The info panel in the top-right corner shows POC, VAH, VAL, where price sits relative to the Value Area, Stairs direction, and HiLo ribbon direction. 🟣 What Makes It Original HLS+ is not a wrapper around the classic Gann HiLo Activator or a standard Volume Profile. The originality is in how three independent layers are combined and filtered: Adaptive HiLo channel with volatility-aware length The HiLo channel length adjusts automatically to current volatility (ATR(14) vs SMA of ATR(50)). In calm regimes the channel tightens, in volatile regimes it widens. This adaptive length produces a ribbon that does not whipsaw in compressed markets and does not lag in expansion. Force-scored flips with POC confluence filter Every direction flip is scored 0-100 from three components — volume vs average, candle body ratio, and ATR distance. The score alone is not enough: the flip must also pass a POC confluence filter (bullish flips require price near or above the rolling POC, bearish flips require price near or below). Flips failing either gate are demoted to small discreet markers. Progressive HiLo Stairs structure Stairs are stored as typed arrays of pivot highs and lows. Each step is classified as HH / HL (bullish progression) or LH / LL (bearish progression) by comparing to the previous swing of the same kind. The overall stairs trend is derived from the relationship between the last two highs AND lows together, not from a single swing. Volume Profile as silent reference The Volume Profile rolling lookback is computed but only POC, VAH and VAL are exposed as visual references — no histogram clutter. These act as liquidity anchors that the HiLo flips reference for confluence. 🟣 How It Works — Step by Step 1. Volume Profile The script builds a rolling volume distribution over the configurable lookback (default 150 bars, 60 rows). For each bar it spreads volume across the rows the bar's high-low range overlaps. The row with the highest volume is the POC. VAH and VAL are computed by expanding outward from the POC until cumulative volume reaches the chosen percentage (default 70%). 2. HiLo Stairs collection Pivots are detected using ta.pivothigh and ta.pivotlow with the chosen pivot length (default 8). Each pivot is pushed into a typed array, capped at the chosen maximum (default 8 each side). 3. Stairs classification Each pivot is compared to the previous one of the same kind: - Higher high vs previous high → HH (blue) - Lower high vs previous high → LH (purple) Same logic applies to lows (HL vs LL). 4. Adaptive HiLo channel The base HiLo length (default 14) is multiplied by a volatility factor: adaptLen = base × (1 + (1 - ATR/SMA(ATR,50)) × adaptiveFactor) The result is used to compute SMA(high) and SMA(low) — the upper and lower bands. The ribbon is the midpoint. 5. Direction state machine Internal state: +1 when close crosses above the upper band, -1 when close crosses below the lower band. The ribbon color follows this state. Any change triggers a flip candidate. 6. Force Score On each flip, three sub-scores are computed: - Volume score (0-40): current volume vs 20-bar SMA - Body score (0-30): |close - open| / (high - low) × 30 - ATR distance score (0-30): |close - open| / ATR × 15 Total is the sum (0-100). 7. POC confluence gate Bullish flips require (close - POC) / ATR > -0.3 (price at or above POC, or at most 0.3 ATR below). Bearish flips require (close - POC) / ATR < 0.3 (price at or below POC, or at most 0.3 ATR above). Flips passing both force threshold AND confluence get the FLIP label. Flips passing the premium threshold (default 85) get the ★ STRONG ★ highlight. Flips failing either gate appear as small triangles only. 🟣 How to Use HLS+ is designed as a context tool, not a black-box buy/sell system. 1. Read the panel first. Stairs direction and HiLo direction together give you the structural bias. When both agree, the environment is aligned. 2. Use POC / VAH / VAL as liquidity anchors. Trade decisions tend to make more sense at or near these levels than in the middle of the Value Area. 3. Treat the FLIP signal as a confluence event, not a trigger. A FLIP means structure, force and POC confluence agreed — but you still apply your own entry rules, sizing and risk management. 4. STRONG signals (Force ≥ 85) are intentionally rare. They indicate strong alignment of volume, momentum and structure. Use them as higher-conviction entries when they appear with the broader stairs direction. 5. Mismatch is information. If the HiLo flips bullish but Stairs is still BEAR, treat it as an early signal needing confirmation — not a full reversal. The script does not place orders, does not include backtest results, and does not claim a win rate. All decisions remain with the trader. 🟣 Inputs Volume Profile Levels - Lookback (bars) — rolling window for the profile (default 150) - Profile Rows — vertical resolution of the distribution (default 60) - Value Area % — VAH/VAL coverage of total volume (default 70) HiLo Stairs - Pivot Length — bars on each side required for a pivot (default 8) - Max stairs steps — array cap to keep the script light (default 8) - Show HH/HL/LH/LL labels — toggle the stair labels Smart HiLo Engine - Show Ribbon — toggle the adaptive ribbon - HiLo Length — base length of the HiLo channel (default 14) - ATR Adaptive Factor — how much the length reacts to volatility (default 1.0) - Min Force Score for label — flip threshold for the FLIP label (default 65) - Premium Force Threshold — flip threshold for the ★ STRONG ★ highlight (default 85) - Show HiLo Bands — optional channel bands (off by default) Visual - Full color customization (POC, VAH/VAL, Bull, Bear) - Show Info Panel — toggle the top-right context table 🟣 Alerts Built-in alerts: - Qualified Bull Flip — confluence-qualified bullish flip - Qualified Bear Flip — confluence-qualified bearish flip - Premium Bull Flip — premium-grade bullish flip (Force ≥ 85) - Premium Bear Flip — premium-grade bearish flip (Force ≥ 85) 🟣 Notes and Limitations - All structural logic is evaluated on bar close. Intra-bar values may differ from the final, confirmed reading. - Volume-based force scoring depends on the symbol providing usable volume data. On instruments without reliable volume, the force component will be less informative. - The Force Score is a heuristic aid, not a probability. Different markets and timeframes will live in different score ranges, and that is expected. - POC / VAH / VAL are computed from a rolling lookback and will shift as new data arrives. This is by design — they are dynamic liquidity references, not fixed levels. 🟣 Disclaimer This script is published for educational and informational purposes only. It is not financial advice and does not guarantee any particular outcome. Past behaviour of the indicator on historical data does not imply future performance. Trade at your own risk and size positions according to your own risk management.
Indikator Pine Script®
oleh igormena
Pranjal Abhigyan Indicator Proranjal Abhigyan Indicator Pro The Pranjal Abhigyan Indicator Pro is an advanced multi-timeframe trend-following system built to identify market direction, filter out noise, and manage trades with dynamic risk control. It is designed around a Parabolic Weighted Moving Average (PWMA) which gives higher importance to recent price action while still maintaining smooth trend structure. The indicator works across higher timeframes using a built-in MTF engine to ensure better trend alignment. 🔷 Core Features 📈 Trend Detection (PWMA System) The indicator uses a Parabolic Weighted Moving Average (PWMA) to determine the dominant market direction. Price above PWMA = bullish trend Price below PWMA = bearish trend This helps traders stay aligned with the main market structure. 🌊 Volatility Filter (Noise Reduction) A built-in volatility filter ignores small and unstable movements in price. It filters out 3–4 candle fake reversals, ensuring that only meaningful trend shifts generate signals. This helps avoid: Sideways market traps False breakouts Choppy price action signals 🛑 ATR-Based Trailing Stop Loss The indicator includes a dynamic trailing stop-loss system based on ATR (Average True Range). SL automatically adjusts based on market volatility Moves only when price shows significant progress Helps lock profits while avoiding premature exits The SL is also direction-aware: Green = Long protection (bullish trend) Red = Short protection (bearish trend) 🎯 Minimum SL Movement Filter To avoid constant SL updates in small fluctuations, a minimum ATR-based movement filter is applied. This ensures: No micro-adjustments No SL noise Clean and stable trailing behavior 🔄 Trend Confirmation Logic The system includes internal structure validation inspired by market behavior (CHOCH & BOS logic) to strengthen trend confirmation. This helps ensure that: Trend changes are meaningful Fake reversals are minimized Continuation trends are respected 💰 Trade Management Levels The indicator provides automatic trade management zones: Break-even Level – helps secure risk-free trades TP1 (First Target) – early profit booking zone TP2 (Extended Target) – trend continuation target These levels are based on ATR for dynamic adaptability across all markets. 🎨 Visual Structure Color-coded PWMA for trend direction Clean BUY/SELL signals Minimal chart clutter Optional visual offset for better alignment 📌 How to Use Follow PWMA direction for trend bias Enter trades on confirmed BUY/SELL signals Use trailing SL for risk management Book partial profits at TP1 and TP2 Hold trades while trend remains intact ⚡ Summary The Pranjal Abhigyan Indicator Pro is a complete trading system combining: Trend identification Volatility filtering Dynamic risk management Structured trade execution It is designed for traders who prefer clean charts, disciplined entries, and systematic trade management rather than emotional decision-making. If you want, I can also write: 🔥 Short TradingView title (SEO optimized) 🔥 Tags/keywords list 🔥 Strategy backtest version (with win rate stats format)
Indikator Pine Script®
oleh pranjalabhigyan
High&Low - Monthly, Weekly, DailyDécouvrez un indicateur conçu pour les traders qui recherchent des zones de réaction précises et une lecture claire du marché. Cet outil affiche automatiquement les niveaux clés les plus importants à surveiller en utilisant : les plus hauts et les plus bas du mois précédent les plus hauts et les plus bas de la semaine précédente les plus hauts et les plus bas du jour précédent Ces niveaux permettent d’identifier rapidement les zones où le marché réagit le plus souvent : liquidité, prises de profits, retournements, cassures ou accélérations. L’objectif est simple : offrir une vision claire des zones institutionnelles importantes afin d’améliorer le timing d’entrée, le risk management et la prise de décision. Que vous soyez scalpeur ou day trader, cet indicateur vous aide à : repérer les supports et résistances majeurs anticiper les réactions du prix sur des niveaux stratégiques éviter les entrées au milieu de zones sans intérêt travailler avec une structure de marché plus propre et plus professionnelle améliorer votre précision d’exécution Grâce à une interface claire et épurée, les niveaux restent parfaitement lisibles même sur les unités de temps rapides, ce qui en fait un véritable outil de travail au quotidien pour les traders techniques et les traders orientés price action / orderflow. Un indicateur pensé pour ceux qui veulent arrêter de trader au hasard et commencer à travailler avec des zones réellement pertinentes du marché.
Indikator Pine Script®
oleh Invest_Louis
Liquidity + Market Structure EngineLiquidity + Market Structure Engine (CLEAN) This indicator is designed to analyze market structure, liquidity behavior, and momentum displacement in a structured and non-repainting framework. It combines key Smart Money Concepts into a single engine: 🔹 Core Features Liquidity sweep detection (buy-side & sell-side liquidity grabs) Equal highs & equal lows identification (liquidity pools) Market Structure Break (BOS) Market Structure Shift (MSS) Volatility-based displacement detection (ATR filtered) Volume confirmation filter for stronger structural shifts 🔹 Market Structure Logic The script focuses on how price interacts with liquidity zones and structural levels: Sweeps indicate potential liquidity grabs before reversals BOS signals confirmed structural breakouts with momentum MSS highlights potential trend shifts with strong participation 🔹 Filters Used ATR-based displacement filter to avoid weak moves Volume filter to confirm institutional participation Pivot-based structure for cleaner swing detection 🔹 Design Philosophy This engine is built to remain: Clean and readable on chart Low-noise (reduced signal spam) Non-repainting in structure logic Suitable for discretionary and model-based trading approaches ⚠️ Disclaimer This tool is for educational and analytical purposes only. It does not guarantee any financial results. Trading involves risk.
Indikator Pine Script®
oleh Onuriano
1
Silver Risk Management outperformed Buy & HoldThis strategy starts from a very direct idea Stay long silver by default step aside when risk starts to build and step back in when structure and macro conditions calm down Silver can reward patience, but it also has a habit of violent flushes That is why this model does not try to predict every move It only tries to manage exposure when pressure becomes visible The model uses three layers 1. Silver structure A slow EMA helps identify broader trend damage 2. Macro pressure US10Y stress is used as the main macro exit filter 3. Flush protection Large downside moves and volatility shocks can trigger an exit or delay re entry The strategy also includes its own Buy and Hold benchmark from the same start date That keeps the comparison cleaner than relying only on TradingView’s default Buy and Hold line With the current conservative test settings Commission: 0.10% Slippage: 2 Start date: 2021 01 01 Benchmark start: first available daily bar after that date The backtest currently shows the strategy outperforming its own Buy and Hold benchmark by 147% points Strategy return: 326% Own Buy and Hold: 179% Max equity drawdown: 16% Profit factor: 3.7 Total trades: 37 The goal is not to prove that silver can be timed perfectly The goal is to study whether silver’s violent flushes create more room for risk managed exposure than passive holding This is a backtest and research tool It is not a buy or sell signal and it is not financial advice
Strategi Pine Script®
oleh CuriousMacroX
AXIS REVERSALAXIS REVERSAL is a high-precision trading strategy engineered to identify critical market pivot points. The algorithm combines dynamic liquidity tracking (Axis Levels) with noise filtration through an adaptive Supertrend and RSI synchronization. ⚡ The Core Logic The strategy operates on the "coiled spring" principle. It identifies zones where the price has overextended from its equilibrium and is primed for a sharp mean reversion. Axis Detection: The algorithm continuously scans the market for new local highs and lows (Highest/Lowest) with adjustable sensitivity. Strike Zones: When a key level is breached but the momentum begins to fade, the strategy enters "Active Standby" mode (visualized as Neon Strike Lines). RSI Synchronization: Entry only occurs when the oscillator confirms an overbought or oversold state within a specific lookback window. Trend Confirmation: The final trigger is pulled only upon a directional shift in the adaptive Supertrend, minimizing the risk of "falling knife" entries. 🎨 Cyber-Interface Visualization We have designed a unique Cyber-Interface to provide full transparency into the algorithm's decision-making process: ✦ (Diamond Icon): Long Entry signal. ⊕ (Crosshair Icon): Short Entry signal. Neon Strike Lines: Dynamic horizontal levels tracked by the Axis engine. When a line appears, the strategy is "loaded" and ready to trade. Smart Background: Subtle background tints indicate RSI readiness phases. ⚙️ Risk Management & Parameters Sensitivity: Controls the depth of the Axis level search. Higher values target global macro-reversals; lower values target local scalping opportunities. ATR Integration: Automatically adjusts to current market volatility. Execution Engine: Pre-set with professional-grade Take Profit and Stop Loss parameters to maintain a positive mathematical expectancy. 📈 Trading Recommendations Timeframes: Optimized for 15m, 1h, and 4h charts. Leverage: Designed for 1:10 leverage (Margin is set to 10% in properties). Assets: Highly effective on BTC, ETH, and volatile Altcoin pairs. Disclaimer: Past performance does not guarantee future results. Always backtest thoroughly before deploying capital on a live account. Tips for Publication: Tags: Use Reversal, RSI, Supertrend, MeanReversion, Crypto.
Strategi Pine Script®
oleh egoigor1976
RSI/ST Buy & Sell (3-Minute)This indicator is designed for the 3-Minute chart and generates clean Buy and Sell signals based on two powerful confluences: BUY SIGNAL — Triggered when: • Current candle is GREEN (close > open) • Supertrend indicator is in BUY mode (price above Supertrend line) SELL SIGNAL — Triggered when: • Current candle is RED (close < open) • Supertrend indicator is in SELL mode (price below Supertrend line) Both conditions must be TRUE at the same time for a signal to appear. This dual-confirmation approach filters out weak and false signals, giving you only the highest-probability entries.
Indikator Pine Script®
oleh sanjaypadole1501