12/21 x 50-100-200 MA - [RZ]👁️ - 12/21 x 50-100-200 MA
A comprehensive moving average overlay indicator designed to identify trend direction and key support/resistance levels using a dual fast/slow MA crossover system combined with three major moving averages.
⛓️ - FEATURES
Dual MA Crossover System: Configurable short (default 12) and long (default 21) period moving averages that change color based on trend direction
Triple Major MAs: 50, 100, and 200 period moving averages displayed in blue, yellow, and red respectively for identifying key market structure levels
Multiple MA Types: Choose from SMA, EMA, DEMA, TEMA, LSMA, WMA, or HMA for all calculations
Customizable Source: Apply the indicator to any price source (close, open, high, low)
Optional Bar Coloring: Visualize trend direction directly on price bars
Built-in Alerts: Automated alerts for trend reversals (Trend Up/Trend Down)
🎮 - HOW TO USE
Bullish Signal: When the short MA crosses above the long MA, both MAs turn green
Bearish Signal: When the short MA crosses below the long MA, both MAs turn red
The 50/100/200 MAs serve as dynamic support/resistance levels and help confirm overall market trend
Use bar coloring for quick visual identification of current trend state
🧰 - OPTIONS
Adjustable lengths for all moving averages
Color customization for bullish/bearish trends
Toggle bar coloring on/off
Select preferred MA calculation method
⚠️ - DISCLAIMER
This indicator is provided for educational and informational purposes only and should not be considered financial advice.
Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor.
Past performance is not indicative of future results.
The signals and information generated by this indicator do not guarantee profits and may result in losses.
Users should conduct their own research and due diligence, and consult with a qualified financial advisor before making any investment decisions.
The creator of this indicator assumes no responsibility for any financial losses incurred through the use of this tool.
By using this indicator, you acknowledge that you are solely responsible for your trading decisions and their outcomes.
👑 - CREDITS
@profmichaelg for Michael's EMA indicator
Trendlineanalysis
12/21 EMA STRAT - [RZ]12/21 EMA Strategy with Performance Analytics
👁️ - OVERVIEW
This indicator implements a simple yet effective exponential moving average (EMA) crossover strategy that compares a 12-period EMA against a 21-period EMA. The system generates long signals when the 12 EMA is positioned above the 21 EMA, and moves to cash when the 12 EMA falls below the 21 EMA.
🧠 - STRATEGY LOGIC
Signal Generation:
Long Position: Activated when 12 EMA > 21 EMA
Cash Position: Activated when 12 EMA < 21 EMA
Technical Implementation:
Uses perpetual condition checks instead of crossover/crossunder functions to prevent signal misgeneration and ensure reliability
Implements barstate.isconfirmed validation to eliminate repainting issues and ensure all signals are confirmed on closed bars
Provides clean, reliable signals suitable for both backtesting and live trading
⚙️ - FEATURES
The indicator includes a comprehensive table displaying real-time performance metrics comparing the strategy against a buy-and-hold approach:
Sharpe Ratio: Risk-adjusted return measurement
Sortino Ratio: Downside risk-adjusted return measurement
Omega Ratio: Probability-weighted ratio of gains versus losses
Maximum Drawdown %: Largest peak-to-trough decline
Visual Components
Equity Curves: Plots both strategy equity and buy-and-hold equity for visual comparison
Status Table: Real-time display of current position (Long/Cash) and performance metrics
Clean Chart Interface: Easy-to-read visualization of strategy performance
Alert System
Long signal triggers
Cash signal triggers
📝 - How to Use
Add the indicator to your chart
Review the performance metrics table to compare strategy vs. buy-and-hold
Monitor the equity curves to visualize strategy performance
Set up alerts for long and cash signals if desired
Use the current position indicator to track strategy status
📊 - Multi-Timeframe Compatibility
This indicator works across multiple timeframes, however, performance characteristics vary significantly depending on the timeframe selected:
Different timeframes will produce different results
Strategy performance may be optimal on certain timeframes and underperform on others
DYOR (Do Your Own Research): Users are strongly encouraged to backtest the strategy on their preferred timeframes and market conditions before use
Test extensively with historical data to understand the strategy's behavior in your specific use case
ETH
SOL
⚠️ - DISCLAIMER
This indicator is provided for educational and informational purposes only. It is NOT financial advice, investment advice, or a recommendation to buy or sell any security or financial instrument.
Past performance does not guarantee future results
Trading involves substantial risk of loss and is not suitable for all investors
You should carefully consider your financial situation and risk tolerance before making any trading decisions
Always conduct your own research and consult with a qualified financial advisor before making investment decisions
The creator of this indicator assumes no responsibility for any financial losses incurred through the use of this tool
Use this indicator at your own risk
Specter Trend Cloud [ChartPrime]⯁ OVERVIEW
Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests.
⯁ KEY FEATURES
Multi-MA Core Engine:
Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length).
Volatility-Adjusted Offset:
Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands.
Gradient Trend Cloud:
Between the two shifted MAs, the script fills a shaded region:
• Aqua cloud = bullish trend
• Orange cloud = bearish trend
Gradient intensity increases toward the active edge, providing a visual sense of strength.
Trend Flip Logic:
A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime.
Retest Detection:
During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool:
• Marks the retest with diamond shapes below/above the bar.
• Draws a dotted horizontal line from the retest price, extending into the future.
Automatic Level Termination:
If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart.
⯁ HOW IT WORKS (UNDER THE HOOD)
MA Calculations:
ma1 = MA(src, Length), ma2 = MA(src, 2 × Length).
Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear).
ATR shift offsets both ma1 and ma2 by ±ATR depending on trend.
Cloud Fill:
Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two.
Retest Logic:
• Bullish retest: ta.crossover(low, ma1) while trend = bull.
• Bearish retest: ta.crossunder(high, ma1) while trend = bear.
Only valid if at least 5 bars have passed since last retest.
When triggered, it stores bar index and price, draws diamonds, and extends a dotted line.
Level Clearing:
If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending).
⯁ USAGE
Use the cloud color as the higher-level trend bias (aqua = long, orange = short).
Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch.
If a retest level holds and price rebounds, it strengthens confidence in the trend.
If a retest level is broken, treat it as a warning of weakening trend or possible reversal.
Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe.
Adjust Length for faster flips on low timeframes or smoother signals on higher ones.
⯁ CONCLUSION
Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version
Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses.
This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control.
In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage .
The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values.
◉ Volume Settings
• Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution.
• A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes.
• Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window.
◉ Bollinger Band
• Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA).
• Inputs allow control of length, standard deviation multiplier, and offset.
• The basis, upper, and lower bands are plotted, with a shaded background between them.
◉ Progress & Proximity
• Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus).
• “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%).
• A signed score (sScore) represents how far the close has moved above or below the basis relative to band width.
◉ Info Table
• Optional compact table summarizing:
• - Upper/lower band margins
• - Buyer/seller volumes with moving averages
• - Delta and cumulative delta
• - Buyer/seller ratios per bar and across the window
• - Money flow values (buy/sell/delta × price) for bar-level and summed periods
• The table is neutral-colored and resizable for different chart layouts.
◉ Zone Event Gate
• Tracks entry into and exit from “near band” zones.
• Arming logic: a side is armed when price enters a band proximity zone.
• Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window.
◉ Trading Logic
• Orders are placed only on zone-exit events, conditional on volume dominance.
• Position sizing is defined as a fixed percentage of strategy equity.
• Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance.
◉ Exit Rules
• Open positions are managed by a strict priority sequence:
• 1. Stop-loss (% of entry price)
• 2. Take-profit (% of entry price)
• 3. Opposite-side event (zone exit with dominance in the other direction)
• Stop-loss and take-profit levels are configurable
◉ Notes
• This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic.
• It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals.
When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
TRAPPER TRENDLINES — PRICEDraws dynamic trendlines on price by connecting the two most recent confirmed swing points (highs to highs for resistance, lows to lows for support). Swings are defined with a symmetric left/right pivot window. Old anchors are ignored so lines stay attached to current structure. Optional break alerts are included.
How it works (plain language)
Pivots: A bar is a swing high (or low) only if it’s the most extreme point compared with a set number of bars on the left and the right.
Lines:
Support connects the last two confirmed swing lows.
Resistance connects the last two confirmed swing highs.
Lines can be extended right only or both left & right (toggle).
Recency filter: Only swings within the last N bars are kept. This avoids anchoring to very old pivots far from current price.
Alerts: Optional alerts fire when price closes above resistance or below support.
Inputs
Auto Settings
Auto pivot size by chart timeframe: When ON, the script picks a pivot size suitable for the current timeframe (you can scale it with Auto pivot multiplier). When OFF, the manual left/right inputs are used.
Auto pivot multiplier: Scales the auto pivot size (e.g., 1.5 makes pivots stricter).
Manual Pivots
Pivot Left / Pivot Right: Bars to the left/right required to confirm a swing. Example: Left=50 & Right=50 keeps only major swings.
Recency Filter
Use last N bars for pivots: Swings older than this window are discarded so trendlines stay relevant to current price.
Style
Support/Resistance color: Line colors.
Extend Left & Right: When ON, both endpoints extend; when OFF, lines extend to the right only.
Alerts
Enable Break Alerts: When ON, alert conditions are exposed:
Price: Break Up — close above resistance.
Price: Break Down — close below support.
Suggested settings
Higher timeframes (4H / 1D / 1W):
Manual: Pivot Left = 50, Pivot Right = 50, Use last N bars = 400–800.
Or enable Auto with Auto pivot multiplier = 1.0–1.5.
Intraday (15m / 30m / 1H):
Manual: Pivot Left = 30, Pivot Right = 30, Use last N bars = 300–500.
Or enable Auto with multiplier ≈ 1.0–1.2.
Pairing with RSI for confluence/divergence
This tool is designed to pair with a companion TRAPPER TRENDLINES — RSI (or any RSI trendline script):
To mirror swings, set RSI Pivot Lookback equal to the price Pivot Left/Right you use here.
Example: Price = 50/50 → RSI Pivot Lookback = 50.
Keep RSI at Length 14 with 70/30 channel for clarity.
Confluence: Price holds/rejects at a trendline while RSI trendline agrees.
Divergence: Price prints a higher high (resistance line rising) while RSI prints a lower high (RSI resistance line falling), or vice-versa for lows. Matching pivot windows makes these relationships clear and reduces false signals.
Reading the signals
Trendline touch/hold: Potential reaction area; wait for follow-through.
Break Up / Break Down (alerts): Close beyond the line. Consider retest behavior, higher-timeframe context, and volume/RSI confirmation.
Notes & limitations
Pivots require future bars to confirm (by design). Lines update as pivots confirm.
“Use last N bars” purposely ignores very old swings. Increase this value if you need legacy structure.
Lines are based on two most recent confirmed pivots per side; rapidly changing markets can replace anchors as new swings confirm.
This is a visual/analytical tool. No strategy entries/exits or performance claims are provided.
Compliance
This script is for educational purposes only and does not constitute financial advice. Trading involves risk. Past results do not guarantee future outcomes. No promises of profit, accuracy, or performance are made.
Alerts (titles/messages)
Price: Break Up — “Price broke above resistance trendline.”
Price: Break Down — “Price broke below support trendline.”
Quick start
Add the indicator to your chart.
Choose Auto or set Pivot Left/Right manually.
Set Use last N bars for how far back to consider swings.
Toggle Extend Left & Right to your preference.
(Optional) Add your RSI trendline indicator and match Pivot Lookback with your price pivot size for clean confluence/divergence.
Enable alerts if you want notifications on breaks.
REMS Snap Shot OverlayThe REMS Snap Shot indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'look-back' feature where in it will signal an entry based on the recency of specified cross events.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS First Strike, which uses a recency filter instead of a cool down.
REMS First Strike OverlayThe REMS First Strike indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'cool down' feature where in it will signal an entry only after any of the specified cross events occur.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS Snap Shot, which uses a recency filter instead of a cool down.
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow.
🟩🟥 Imbalance boxes: “Crowd rushed, gaps left”
What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited.
Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops.
⏩How to use:
Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points.
↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?”
What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias.
Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns.
⏩How to use:
Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering.
🧱Order blocks: “Where big players remember”
What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines.
Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase.
⏩ How to use:
Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry.
📊Volume coloring: “How Volume is move?”
What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.”
Why it helps: Patterns without volume often fade; volume validates strength and intent of moves.
⏩ How to use:
Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip.
🧲 BSL/SSL liquidity pools: “Fishing for stops”
What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”).
Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location.
⏩ How to use:
Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on.
🟢🔴 Advanced liquidity grab: “Catch fakeout”
What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically.
Why it helps: It exposes trap moves (stop hunts) and often precedes true direction.
⏩ How to use:
Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick.
🧠 Smart candlestick patterns (only in right place)
What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees.
Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal.
⏩ How to use:
Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean.
🧭 Dashboard: “Context in a glance”
⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning.
⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction.
⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there.
🧩Step-by-step trading flow (with mindset)
⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation.
⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time.
⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO.
⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume.
⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2.
Bearish: mirror above.
⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion.
🎛️ Parameter tuning (to reduce human error)
⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live.
⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%.
⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools.
❌Common mistakes → ✅ Better habits
⏩Chasing every breakout → Wait for sweep/rejection, then confirm.
⏩Ignoring volume → Validate strength; cut size or skip on weak volume.
⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded).
⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance.
📝 checklist (before entry)
⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there?
⏩ Is there a close imbalance/OB that price can retest?
⏩ Do we have an effective pattern plus supportive volume?
⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5?
•?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Pasrsifal.RegressionTrendStateSummary
The Parsifal.Regression.Trend.State Indicator analyzes the leading coefficients of linear and quadratic regressions of price (against time). It also considers their first- and second-order changes. These features are aggregated into a Trend-State background, shown as a gradient color. In addition, the indicator generates fast and slow signals that can be used as potential entry- or exit triggers.
This tool is designed for advanced trend-following strategies, leveraging information from multiple trendline features.
Background
Trendlines provide insight into the state of a trend or the “trendiness” of a price process. While moving averages or pivot-based lines can serve as envelopes and breakout levels, they are often too lagging for swing traders, who need tools that adapt more closely to price swings, ideally using trendlines, around which the price process swings continuously.
Regression lines address this by cutting directly through the data, making them a natural anchor for observing how price winds around a central trendline within a chosen lookback period.
Regression Trendlines
• Linear Regression:
o Minimizes distance to all closing values over the lookback period.
o The slope represents the short-term linear trend.
o The change of slope indicates trend acceleration or deceleration.
o Linear regression lags during phases of rapid market shifts.
• Quadratic Regression:
o Fits a second-degree polynomial to minimize deviation from closing prices.
o The convexity term (leading coefficient) reflects curvature:
Positive convexity → accelerating uptrend or fading downtrend.
Negative convexity → accelerating downtrend or fading uptrend.
o The change of convexity detects early shifts in momentum and often reacts faster than slope features.
Features Extracted
The indicator evaluates six features:
• Linear features: slope, first derivative of slope, second derivative of slope.
• Quadratic features: convexity term, first derivative of the convexity term, second derivative of the convexity term.
• Linear features: capture broad, background trend behavior.
• Quadratic features: detect deviations, accelerations, and smaller-scale dynamics.
Quadratic terms generally react first to market changes, while linear terms provide stability and context.
Dynamics of Market Moves as seen by linear and quadratic regressions
• At the start of a rapid move:
The change of convexity reacts first, capturing the shift in dynamics before other features. The convexity term then follows, while linear slope features lag further behind. Because convexity measures deviation from linearity, it reflects accelerating momentum more effectively than slope.
• At the end of a rapid move:
Again, the change of convexity responds first to fading momentum, signaling the transition from above-linear to below-linear dynamics. Even while a strong trend persists, the change of convexity may flip sign early, offering a warning of weakening strength. The convexity term itself adjusts more slowly but may still turn before the price process does. Linear features lag the most, typically only flipping after price has already reversed, thereby smoothing out the rapid, more sensitive reactions of quadratic terms.
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Parsifal Regression.Trend.State Method
1. Feature Mapping:
Each feature is mapped to a range between -1 and 1, preserving zero-crossings (critical for sign interpretation).
2. Aggregation:
A heuristic linear combination*) produces a background information value, visualized as a gradient color scale:
o Deep green → strong positive trend.
o Deep red → strong negative trend.
o Yellow → neutral or transitional states.
3. Signals:
o Fast signal (oscillator): ranges from -1 to 1, reflecting short-term trend state.
o Slow signal (smoothed): moving average of the fast signal.
o Their interactions (crossovers, zero-crossings) provide actionable trading triggers.
How to Use
The Trend-State background gradient provides intuitive visual feedback on the aggregated regression features (slope, convexity, and their changes). Because these features reflect not only current trend strength but also their acceleration or deceleration, the color transitions help anticipate evolving market states:
• Solid Green: All features near their highs. Indicates a strong, accelerating uptrend. May also reflect explosive or hyperbolic upside moves (including gaps).
• Fading Solid Green: A recently strong uptrend is losing momentum. Price may shift into a slower uptrend, consolidation, or even a reversal.
• Fading Green → Yellow: Often appears as a dirty yellow or a rapidly mixing pattern of green and red. Signals that the uptrend is weakening toward neutrality or beginning to turn negative.
• Yellow → Deepening Red: Two possible scenarios:
o Coming from a strong uptrend → suggests a sharp fade, though the trend may still technically be up.
o Coming from a weaker uptrend or sideways market → suggests the start of an accelerating downtrend.
• Solid Red: All features near their lows. Indicates a strong, accelerating downtrend. May also reflect crash-type conditions or downside gaps.
• Fading Solid Red: A recently strong downtrend is losing strength. Market may move into a slower decline, consolidation, or early reversal upward.
• Fading Red → Yellow : The downtrend is weakening toward neutral, with potential for a bullish shift.
• Yellow → Increasing Green: Two possible scenarios:
o Coming from a strong downtrend, it reflects a sharp fade of bearish momentum, though the market may still technically be trending down.
o Coming from a weaker downtrend or sideways movement, it suggests the start of an accelerating uptrend.
Note: Market evolution does not always follow this neat “color cycle.” It may jump between states, skip stages, or reverse abruptly depending on market conditions. This makes the background coloring particularly valuable as a contextual map of current and evolving price dynamics.
Signal Crossovers:
Although the fast signal is very similar (but not identical) to the background coloring, it provides a numerical representation indicating a bullish interpretation for rising values and bearish for falling.
o High-confidence entries:
Fast signal rising from < -0.7 and crossing above the slow signal → potential long entry.
Fast signal falling from > +0.7 and crossing below the slow signal → potential short entry.
o Low-confidence entries:
Crossovers near zero may still provide a valid trigger but may be noisy and should be confirmed with other signals.
o Zero-crossings:
Indicate broader state changes, useful for conservative positioning or option strategies. For confirmation of a Fast signal 0-crossing, wait for the Slow signal to cross as well.
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*) Note on Aggregation
While the indicator currently uses a heuristic linear combination of features, alternatives such as Principal Component Analysis (PCA) could provide a more formal aggregation. However, while in the absence of matrix algebra, the required eigenvalue decomposition can be approximated, its computational expense does not justify the marginal higher insight in this case. The current heuristic approach offers a practical balance of clarity, speed, and accuracy.
BTC NY Session Envelopes: Dynamic Levels & Settle AlertsCore Concept and Genesis
Born from forex institutional timing principles, this tool has been precision-engineered for the relentless pace of Bitcoin and cryptocurrency markets. It visualizes adaptive session-derived boundaries—spanning weekly, daily, and Asia-specific envelopes—capped with a Friday US settlement "sentinel" zone. Enhanced with targeted alerts for crossings of Asia highs/lows, daily highs/lows, weekly highs/lows, and the settle midpoint, it empowers traders to capture momentum shifts in real-time, transforming raw price data into actionable intelligence for volatile, non-stop assets.
The Fusion Edge: What Sets This Apart
This isn't a generic level plotter; it's a synergistic ecosystem where NY-timed envelopes intersect to reveal hidden confluences, like Asia's quiet buildup funneling into daily volatility spikes or the US settle acting as a "gap magnet" for weekend resolutions. Tailored for BTC's unique liquidity flows, it employs a low-timeframe data pull for noise-free accuracy, sidestepping common pitfalls in 24/7 charts. The built-in alerts—firing on precise crossovers—add a proactive layer, alerting to potential "liquidity hunts" or reversals (e.g., a breakout above weekly high amid high volume). In personal simulations across 500+ BTC sessions, this setup flagged ~65% of high-conviction moves with fewer false positives than isolated tools—always backtest to confirm your edge.
Inner Mechanics: A Transparent Peek
Weekly/Daily Envelopes: Anchored to 5pm NY resets for institutional alignment; computes highs/lows/mids through ongoing max/min accumulation, sourced from a user-defined sub-timeframe for cross-chart reliability.
Asia Envelope: A dynamic 8pm-3am NY capture window that evolves bar-by-bar, spotlighting pre-London setups often overlooked in crypto.
US Settle Sentinel: Zeroes in on Friday's 4:45pm NY 15-minute finale, rendering a containment box and midpoint to forecast post-weekend reactions. Overlaps are intelligently clustered in labels for at-a-glance clarity, with extension options for forward projection.
Timeframe-Adaptive Visibility: To declutter higher timeframes and focus on relevant horizons, the Asia envelope auto-hides on charts above 1hr, while daily envelopes vanish above 4hr—ensuring a streamlined view for swing or position traders without sacrificing intraday detail.
Alert System: Leverages crossover/crossunder detection on closing prices against levels, with granular triggers (e.g., "Surge Beyond Asia Low") for customized notifications—perfect for webhook integrations or mobile pings.
Strategic Deployment and Scenarios
BTC Day-Trading Playbook: Initiate longs when price rebounds from Asia low near a daily mid, amplified by an alert on "Dip Below Daily Low" for entry confirmation—pair with external volume spikes for confluence.
Trend Harmony: Overlay with a 200-period EMA; use "Breach Under Weekly High" alerts to exit longs in downtrends, safeguarding against fakeouts.
Caveats and Optimization: Thrives in momentum-driven phases but tune out in ultra-low volatility; alerts activate post-bar, so layer with candlestick patterns. Ideal for 15m-4H frames on perpetual futures like BTCUSDT.P.
Exclusive Access Rationale (If Restricted) The bespoke crypto recalibrations, seamless multi-envelope fusion, and alert-driven foresight deliver a tactical advantage absent in off-the-shelf alternatives—reach out via TradingView message for tailored access and optimization insights.
Indexed Gann Fan“This indicator automatically builds an unique trend-based Gann fan by selecting swing high/swing low ubased on price fluctuation index over time for each segment of the chart.
It helps traders identify the true market trend and pinpoint key support and resistance levels at precise angles.
Designed for traders familiar with Gann’s methodology who want a clearer understanding of market structure and greater confidence in their trading decisions.”
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Индикатор автоматически по выбору экстремума строит уникальный трендовый веер Ганна, используя индекс колебаний цены во времени для каждого участка графика.
Помогает видеть направление тренда и определять ключевые углы поддержки и сопротивления.
Инструмент создан для трейдеров знакомых с методологией Ганна, которые хотят получать более ясное понимание рыночной структуры и принимать решения с максимальной уверенностью.
NTSThis indicator is a trend and Fibonacci-based analysis tool. It calculates a dynamic trailing level using ATR-based formulas and projects Fibonacci retracement ratios (61.8%, 78.6%, 88.6%) between the trailing point and the extreme price. These levels are then plotted on the chart to highlight potential zones of interest during ongoing market trends.
The script also provides optional alerts for situations such as:
Trend direction changes,
Price reaching selected Fibonacci levels,
Price crossing above or below the trailing line.
The main purpose of this tool is to support chart analysis and educational study. It is not a buy/sell signal generator and does not provide financial advice. Traders may use the displayed information as part of their own strategies and risk management approach.
Gott's Copernican Trend PredictorThe Gott's Copernican Trend Predictor predicts trend duration using the Copernican Principle - Based on astrophysicist Richard Gott's temporal prediction method.
I had the idea to create this indicator after reading the book The Doomsday Calculation by William Poundstone.
Background & Theory
This indicator implements J. Richard Gott III's Copernican Principle - a statistical method that famously predicted the fall of the Berlin Wall and the duration of Broadway shows with remarkable accuracy.
The Copernican Principle Explained
Named after Copernicus who showed that Earth is not at the center of the universe, this principle assumes that you are not observing something at a special moment in time. When you observe a trend at any random point, you're statistically more likely to be seeing it during the "middle portion" of its lifetime rather than at its very beginning or end.
The Mathematics
Gott's formula provides a 95% confidence interval for how much longer a trend will continue:
Minimum remaining duration = Current Age ÷ 39
Maximum remaining duration = Current Age × 39
The factor of 39 comes from statistical analysis where:
There's only a 2.5% chance you're observing in the first 1/40th of the trend's life
There's only a 2.5% chance you're observing in the last 1/40th of the trend's life
This gives us 95% confidence that the trend will last between Age/39 and Age×39
How It Works
Trend Detection
The indicator uses dual moving averages (default: 50 & 200 period) to identify trend changes:
Bullish Cross: Fast MA crosses above Slow MA → Uptrend begins
Bearish Cross: Fast MA crosses below Slow MA → Downtrend begins
Real-Time Predictions
Once a trend is detected, the indicator continuously calculates:
Trend Age: How long the current trend has been active
Gott's 95% CI: Statistical range for remaining trend duration
Projected End Dates: Calendar dates when the trend might end
How to Use
Setup
Add the indicator to any timeframe (works on minutes, hours, days, weeks)
Customize MA periods and type (SMA, EMA, WMA)
Choose table position and font size for optimal viewing
Interpretation
Example: If a trend is 100 hours old:
Minimum duration: 100 ÷ 39 = ~3 more hours
Maximum duration: 100 × 39 = ~3,900 more hours
95% confidence: The trend will end between these times
This indicator might be useful for swing traders, trend followers, and quantitative analysts.
Coca-Cola example:
Coca-Cola's chart shows an uptrend spanning 810 weeks, approximately 15.5 years. According to Gott's Copernican Principle, this trend age generates a 95% confidence interval predicting the trend will continue for a minimum of 20 weeks and a maximum of 31,590 weeks.
On the other hand, a shorter trend age produces a proportionally smaller minimum duration and different risk profile in terms of statistical continuation probability. For this reason, more recent trends (and more recent companies) are likely to remain in trend for shorter.
AI Dynamic SR Trend Lines Enhanced# Dynamic Support/Resistance Lines Using Linear Regression
## What Makes This Script Original
This script differs from standard pivot-based support/resistance indicators by applying **linear regression analysis** to clusters of recent pivot points instead of simply connecting the last two pivots. While many scripts plot lines between individual swing points, this approach calculates the "line of best fit" through multiple recent pivots (3-5 points), creating statistically-derived trend lines that better represent the overall price trajectory.
## Core Methodology
**Pivot Collection & Filtering:**
- Detects swing highs and lows using configurable left/right lookback periods
- Applies ATR-based filtering to exclude minor pivots that don't represent significant price structure
- Uses angular filtering to reject excessively steep trend lines (over 45 degrees by default)
**Linear Regression Calculation:**
- Collects the most recent 2-5 valid pivot points (user configurable)
- Applies least-squares linear regression to find the optimal line through these points
- Updates dynamically as new pivots form, maintaining relevance to current market structure
**Enhancement Features:**
- Optional logarithmic price scaling for percentage-based analysis
- EMA confluence detection that increases line "strength" when trend lines align with moving averages
- Automatic line pruning when price moves significantly away (customizable ATR multiples)
- Visual strength indication through line thickness based on pivot count and confluence
## Key Differences from Standard Approaches
**vs. Simple Pivot Connections:** Uses statistical best-fit rather than arbitrary point-to-point lines
**vs. Fixed Trend Lines:** Dynamically adapts as new market structure develops
**vs. Manual Drawing:** Automatically identifies and plots the most statistically relevant levels
## Practical Application
The resulting support and resistance lines represent the mathematical trend through recent price structure rather than subjective line drawing. This creates more consistent and objective trend analysis, particularly useful for:
- Identifying key levels for entries/exits
- Confluence analysis when combined with other technical tools
- Systematic approach to trend line analysis
## Important Limitations
- Lines recalculate as new pivots form (this is intentional for dynamic adaptation)
- Requires sufficient pivot history to generate meaningful regression lines
- Should be used as part of comprehensive analysis, not as standalone signals
- Past performance of trend lines does not guarantee future effectiveness
## Technical Implementation Notes
The script uses arrays to maintain rolling collections of pivot points, applies mathematical linear regression formulas, and includes multiple filtering mechanisms to ensure only statistically significant levels are displayed. All visual elements and calculation parameters are fully customizable to suit different trading styles and timeframes.
Trend Break Target
The Trend Break Target indicator helps traders identify and trade potential breakout opportunities with precision. It offers the following key benefits:
Customizable Trend Anchors
Allows traders to set specific start and end dates for the trendline, ensuring analysis is aligned with chosen time windows.
Supports different price sources (High, Low, Close) to fit diverse trading styles.
Automatic Trendline Projection
Dynamically plots a trendline between selected anchor points and extends it forward, providing a clear visual guide for future price interactions.
Breakout Detection
Instantly detects when price breaks above or below the trendline.
Plots breakout markers (▲ / ▼) directly on the chart to highlight actionable trade signals.
Pivot-Based Target Calculation
Uses the nearest valid pivot high/low before the breakout (or a fallback lookback if unavailable).
Measures the distance between the pivot and the trendline, then projects a target price in the breakout direction.
Clear Visual Targets
Draws a dotted target line to show where price may reach after the breakout.
Adds a connector line from breakout to target and a measurement line from pivot to trendline, improving clarity of the setup.
Automatic Reset & Efficiency
Resets calculations when new anchors are applied, keeping charts clean and reducing noise.
Deletes old lines and labels automatically to optimize chart readability.
Strategic Trade Planning
Helps traders quickly identify risk-reward opportunities by visualizing breakout levels and price targets.
Useful for trend continuation as well as reversal trading strategies.
👉 In short, the FTBT indicator provides a structured way to analyse trendlines, confirm breakouts, and project realistic price targets—making it a powerful tool for both discretionary and systematic traders.
FibroTrend Matrix Premium [By TraderMan]📊 FibroTrend Matrix Premium
FibroTrend Matrix Premium is a powerful multi-timeframe trend and Fibonacci analysis tool. It combines trend direction, trend strength, and key Fibonacci levels into a single, clean interface with a dynamic table. Perfect for traders who want to see the market structure at a glance.
🧠 How It Works
Trend Detection 📈📉
Uses EMA-based dynamic bands to determine current trend direction.
Computes trend strength using slope of the trend line vs. price deviation.
Works on multiple timeframes (5m, 15m, 30m, 1h, 4h, 1D) for overall market context.
Fibonacci Levels & Zones 🔢
Automatically draws key Fibonacci retracement levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
Adds zones around levels for potential support/resistance areas.
Labels are small and clear, lines slightly thicker for better visibility.
Trend Table Summary 📊
Shows current trend direction, strength, and general trend across multiple timeframes.
Fibonacci levels are included in the table with color-coded cells (green = bullish, red = bearish).
⚡ How to Use / Trading Logic
Identify Trend Direction
Uptrend (Green/“Up”) → look for buying opportunities.
Downtrend (Red/“Down”) → look for selling/shorting opportunities.
Neutral → wait or stay out.
Check Trend Strength
Very Strong / Strong (Green) → trend likely to continue.
Weak / Very Weak (Red) → trend may reverse or be choppy.
Use Fibonacci Levels for Entry & Exit
Enter near support zones in an uptrend.
Enter near resistance zones in a downtrend.
Use zone width & tolerance to set stop-loss or take-profit.
Multi-Timeframe Confirmation ✅
Ensure majority of timeframes confirm trend direction for stronger signal.
Example: if 5 out of 6 timeframes show Uptrend, trend is strong.
💡 Tips
Combine with volume, momentum, or RSI for extra confirmation.
Avoid trading solely on Fibonacci levels; use trend + strength table as main guide.
Works well for swing trading, intraday, and crypto markets.
🎯 Entry Example
Price is in an uptrend (green bars, line up).
Fibonacci retracement 0.382 aligns with support zone.
Trend strength = Strong or Very Strong.
Enter Long near zone, set stop-loss slightly below zone, take-profit near next Fibonacci level.
TrendMaster Pro [By TraderMan]📈 TrendMaster Pro Indicator 🚀
TrendMaster Pro is a powerful, technical analysis-based trading tool used on TradingView.
It’s designed to identify market trends, detect support/resistance levels, spot trend breakouts, and generate automatic buy-sell signals.
⚙️ Indicator Logic and Functionality
🔎 Pivot Detection: Captures market turning points (pivot highs & lows).
📉📈 Trend Lines: Draws support (green) and resistance (red) lines between recent pivot points.
💥 Breakout Detection: Generates signals when price breaks support or resistance levels.
⏳ Multi-Timeframe Analysis: Analyzes trend direction and breakouts on 5m, 15m, 1h, 4h, and daily charts.
📊 EMA & Momentum: Confirms trend direction using 5 and 13-period EMAs and momentum indicators.
🎯 TP/SL Levels: Automatically calculates Take Profit (TP) and Stop Loss (SL) levels.
⭐ Success Rate: Measures signal accuracy as a percentage; only signals above 70% are shown.
👁️🗨️ Visual Elements: Easy-to-use interface with trend lines, TP/SL boxes, labels, and summary tables.
📲 Alerts: Sends real-time buy/sell notifications via Telegram or webhook.
🛠️ How It Works
🔺 Pivot and Trend Lines
Pivots (highs and lows) are detected based on a user-defined lookback period.
Support (green) and resistance (red) lines are drawn between these points and extended into the future.
⚡ Breakout Detection
If price breaks above resistance → Buy (Long) signal!
If price breaks below support → Sell (Short) signal!
A confirmation bar count (default 1 bar) helps reduce false signals.
📅 Multi-Timeframe Analysis
Checks trend and breakout status across 5m, 15m, 1h, 4h, and daily charts.
EMA5 > EMA13 with positive momentum indicates a bullish trend; the opposite indicates a bearish trend.
🎯 TP and SL Calculation
Entry price is based on the support/resistance level.
TP (2%) and SL (1.3%) percentages are calculated automatically, with vertical offsets applied.
🌟 Success Rate
Rates signal strength based on trend and breakout alignment across timeframes.
Only signals above 70% trigger alerts.
🎮 How to Use
Add the Indicator: Paste the code into Pine Script editor on TradingView and add to your chart.
Configure Settings: Adjust pivot lookback, TP/SL percentages, confirmation bars, and other parameters to fit your strategy.
Follow Signals:
Buy signals show “BUY” labels and TP/SL boxes after resistance breakouts.
Sell signals show “SELL” labels after support breakdowns.
Enter Positions: Take positions on confirmed signals and monitor TP/SL levels.
Receive Alerts: Signals with a success rate above 70% will send automatic Telegram notifications.
💡 Tips for Use
⏱️ Timeframe Choice: Use short timeframes (5m, 15m) for scalping, longer (1h, 4h, daily) for swing trading.
📈 Success Rate: Signals over 80% are more reliable; be cautious with lower percentages.
⚙️ Settings: Optimize TP/SL and pivot period according to asset volatility.
🛡️ Risk Management: Always use SL and manage position size carefully.
🎉 Advantages
📊 Multi-timeframe support for stronger analysis
👁️🗨️ User-friendly visuals and summary tables
🤖 Automated alerts via Telegram/webhook
🔧 Flexible, customizable parameters
⚠️ Warnings
⚡ High volatility may increase false signals—consider increasing confirmation bars.
🔄 Signals can be less reliable in non-trending (range) markets.
🧪 Always test strategies on demo accounts before going live.
Conquer the waves of the market with TrendMaster Pro! 🌊💪
EMA Triad Vanguard Pro [By TraderMan]📌 EMA Triad Vanguard Pro — Advanced Trend & Position Management System
📖 Introduction
EMA Triad Vanguard Pro is an advanced indicator that utilizes three different EMAs (Exponential Moving Averages) to analyze the direction, strength, and reliability of market trends.
It goes beyond a single timeframe, performing trend analysis across 8 different timeframes simultaneously and automatically tracking TP/SL management.
This makes it a powerful reference tool for both short-term traders and medium-to-long-term swing traders.
⚙ How It Works
EMAs:
EMA 21 → Responds quickly to short-term price changes.
EMA 50 → Shows medium-term price direction.
EMA 200 → Determines the long-term market trend.
Trend Direction Logic:
📈 Long Signal: EMA 21 crosses above EMA 200 and EMA 21 > EMA 50.
📉 Short Signal: EMA 21 crosses below EMA 200 and EMA 21 < EMA 50.
Trend Strength Calculation:
Calculates the percentage distance between EMAs.
Strength levels: Very Weak → Weak → Strong → Very Strong.
Multi-Timeframe Analysis:
Analyzes trend direction for: 5min, 15min, 30min, 1H, 4H, Daily, Weekly, and Monthly charts.
Generates an overall market bias from combined results.
Automatic Position Management:
When a position is opened, TP1, TP2, TP3, and SL levels are calculated automatically.
As price reaches these levels, chart labels appear (TP1★, TP2★, TP3★, SL!).
📊 How to Use
1️⃣ Long (Buy) Setup
EMA 21 must cross above EMA 200 ✅
EMA 21 must be above EMA 50 ✅
Overall market bias should be “Bullish” ✅
Entry Price: closing price of the signal candle.
TP levels: calculated based on upward % targets.
SL: a set % below the entry price.
2️⃣ Short (Sell) Setup
EMA 21 must cross below EMA 200 ✅
EMA 21 must be below EMA 50 ✅
Overall market bias should be “Bearish” ✅
Entry Price: closing price of the signal candle.
TP levels: calculated based on downward % targets.
SL: a set % above the entry price.
💡 Pro Tips
Multi-timeframe alignment significantly increases the signal reliability.
If trend strength is “Very Strong”, chances of hitting TP targets are higher.
Weak trends may cause false signals → confirm with extra indicators (RSI, MACD, Volume).
TP levels are ideal for partial take-profits → lock in gains and reduce risk.
📌 Advantages
✅ Displays both trend direction and trend strength at a glance.
✅ Multi-timeframe approach avoids tunnel vision from a single chart.
✅ Automatic TP/SL calculation eliminates manual measuring.
✅ Labeled signal alerts make tracking positions easy and visual.
⚠ Important Notes
No indicator is 100% accurate — sudden news events or manipulations may cause false signals.
Use it together with other technical and fundamental analysis methods.
Signal reliability may decrease in low liquidity markets.
🎯 In summary:
EMA Triad Vanguard Pro combines trend tracking, position management, and multi-timeframe analysis in a single package, helping professional traders reduce workload and make more strategic trades.
SAR PowerTrend Analyzer Pro [By TraderMan]📈 SAR PowerTrend Analyzer Pro
Hello Trader! 👋 This powerful SAR PowerTrend Analyzer Pro indicator analyzes market trends across multiple timeframes by combining Parabolic SAR and ATR indicators to provide clear and actionable signals. Designed for everyone who wants to track trends and enter trades confidently on TradingView. Here’s the detailed breakdown:
🔍 What’s the core concept?
Parabolic SAR (Stop and Reverse):
A classic tool to detect price reversals and determine trend direction. When price is above SAR → uptrend (bullish), below SAR → downtrend (bearish).
ATR (Average True Range):
Measures price volatility. A higher ATR means stronger trend potential; lower ATR means weak or indecisive trends.
This indicator merges these two to not only tell “up or down” but also provide a numerical trend strength reading. So you can clearly know when a trend is strong or weak.
⏱️ Comprehensive Multi-Timeframe Analysis
It doesn’t rely on just one timeframe! 📊
5 min, 15 min
1 hour, 4 hours
1 day, 1 week, 1 month
Tracking trends on all these simultaneously gives you a more reliable market overview. Helps avoid false signals from short-term noise and align with long-term trends.
🎯 How to use it? (Entry Signals)
Long Signal:
Price crosses SAR line from below → shows “LONG” label and green trend color, indicating bullish momentum.
Short Signal:
Price crosses SAR line from above → shows “SHORT” label and red trend color, signaling bearish trend start.
📊 Visuals and Table on Chart
SAR lines plotted above and below price with clear green/red colors.
Background color changes with trend direction for instant visual feedback.
Top-right table shows each timeframe’s:
Trend Direction (Bullish/Bearish)
Trend Strength (numerical value 0 to 1)
General market direction and strength are summarized in the table’s bottom rows.
⚡ Things to watch before entering trades
Check the table! If most timeframes are Bullish and strong, consider LONG positions.
If most are Bearish and strong, SHORT positions might be safer.
Avoid relying on single timeframe signals, wait for multi-timeframe confirmation.
Always watch price action and volume.
Place stop losses just outside the SAR line to manage risk effectively.
Risk management is key! Protecting your capital matters as much as making profits.
🎉 Why use this indicator?
✅ Multi-timeframe analysis brings the bigger picture to your screen.
✅ Clear color-coded signals make trend following easy and intuitive.
✅ Numerical trend strength optimizes your entry/exit decisions.
✅ Suitable for beginners and pros alike.
✅ Fast, stable, and visually clean on TradingView.
🧠 Pro Tip:
This indicator works best when combined with other technical tools and news analysis. There’s no “magic single indicator,” but a smart combination wins the race! 😉
✨ Add this powerful trend analysis tool to your charts now, catch the market’s rhythm, and boost your gains! 🚀📈
TrendGradient [By TraderMan]TrendGradient Indicator: What It Does, How It Works, and How to Use It 📊✨
The **TrendGradient ** indicator is a Pine Script tool designed for the TradingView platform, assisting traders in trend analysis, generating buy/sell signals, and determining target price (TP) and stop-loss (SL) levels. In this guide, I’ll explain in detail what the indicator does, how it operates, how to use it, and strategies for opening positions. Get ready to dive into this colorful and powerful tool! 🚀
🌟 **What Is TrendGradient and What Does It Do?**
TrendGradient is an indicator that analyzes price movements to identify trend direction and strength while generating actionable buy and sell signals. Here are its core functions:
1. **Trend Tracking**: Uses 38-period and 62-period Exponential Moving Averages (EMAs) to determine the trend direction (bullish or bearish).
2. **Buy/Sell Signals**: Generates signals based on EMA crossovers and crossunders.
3. **Target and Stop Levels**: Calculates entry, take-profit (TP1, TP2, TP3), and stop-loss (SL) levels using the Average True Range (ATR).
4. **Volatility and Trend Analysis**: Visualizes volatility levels (low, medium, high) and trend strength (strong/weak) via ATR and EMA.
5. **Visual Clarity**: Provides a user-friendly interface with colored lines, labels, tables, and shapes.
This indicator is ideal for trend-following traders and can be used for both short-term (scalping/day trading) and long-term strategies. 📈
---
### 🛠️ **How Does TrendGradient Work?**
Let’s break down the indicator’s mechanics step by step:
#### 1. **EMA-Based Trend Analysis** 📉
- **EMA 38 and EMA 62**: The indicator uses 38-period and 62-period Exponential Moving Averages to smooth price data and identify trend direction.
- **EMA 38 > EMA 62**: Bullish trend (uptrend) 📈
- **EMA 38 < EMA 62**: Bearish trend (downtrend) 📉
- EMA crossovers trigger buy/sell signals:
- **Crossover (EMA 38 crosses above EMA 62)**: Buy signal (BUY).
- **Crossunder (EMA 38 crosses below EMA 62)**: Sell signal (SELL).
- The EMAs focus on the last 20 days of data to display recent trends only.
#### 2. **ATR-Based Levels** ⚖️
- **ATR (Average True Range)**: Measures price volatility and is used to calculate entry, TP, and SL levels.
- **Entry Price**: For buys, the closing price plus an ATR multiplier; for sells, the closing price minus an ATR multiplier.
- **Take-Profit Levels (TP1, TP2, TP3)**: Calculated by adding/subtracting ATR multiples (default: 2.0, 4.0, 6.0) to/from the entry price.
- **Stop-Loss (SL)**: Set at a distance from the entry price using an ATR multiplier (default: 2.0 + additional SL).
- These levels are visualized on the chart with colored lines (yellow: entry, green: TP1, teal: TP2, blue: TP3, red: SL) and labels.
#### 3. **Signal and Status Visualization** 🖼️
- **Lines and Labels**: Buy/sell signals are marked with green "BUY" and red "SELL" labels on the chart.
- **Table**: A table in the top-right corner summarizes signal status, entry/TP/SL levels, trend strength, volatility, and trend direction.
- **Color Coding**:
- Green: Bullish trend, buy signal, or TP achievements.
- Red: Bearish trend, sell signal, or SL triggered.
- Yellow, teal, blue: Entry and TP levels.
- **Bar Coloring**: Bars are colored green (bullish) or red (bearish) based on EMA alignment.
#### 4. **TP/SL Monitoring** ✅❌
- The indicator checks if the price hits TP or SL levels and displays labels like "✔️ TP Achieved" or "❌ SL Stopped Out."
- When a TP or SL is hit, the position status updates (e.g., "In Progress ⏳", "Successful ✅", or "Failed ❌").
#### 5. **Volatility and Trend Strength** 📊
- **Volatility (ATR)**: Classified as "Low" (red), "Medium" (orange), or "High" (green) based on the ATR’s position within its 50-bar range.
- **Trend Strength**: If EMA 38 > EMA 62, the trend is "Strong" (green); otherwise, it’s "Weak" (red).
---
### 📋 **How to Use TrendGradient?**
Follow these steps to effectively use TrendGradient:
#### 1. **Add the Indicator to TradingView** 🖥️
- In TradingView, search for "TrendGradient " in the **Indicators** menu and add it to your chart.
- Use default settings or customize parameters like ATR period, multipliers, and display duration (default: 20 days) in the **Settings** menu.
#### 2. **Identify Signals** 🔍
- **Buy Signal (BUY)**: Appears when a green "BUY" label is displayed and EMA 38 crosses above EMA 62.
- **Sell Signal (SELL)**: Appears when a red "SELL" label is displayed and EMA 38 crosses below EMA 62.
- Check the top-right table for signal status ("BUY", "SELL", or "-") and position levels (Entry, TP1, TP2, TP3, SL).
#### 3. **Opening a Position** 🚪
- **Long Position (Buy)**:
1. When a "BUY" signal appears, check the entry price (yellow line).
2. Open a position at or near the entry price.
3. Set TP1, TP2, TP3 (green, teal, blue lines) and SL (red line) as targets/stops.
- **Short Position (Sell)**:
1. When a "SELL" signal appears, check the entry price.
2. Open a position at or near the entry price.
3. Use TP and SL levels as targets/stops.
- **Note**: ATR-based levels adjust dynamically to market volatility, ensuring adaptability.
#### 4. **Position Management** 🛡️
- **Take-Profit (TP)**: Realize profits when the price hits TP1, TP2, or TP3. For example, close part of the position at TP1 and hold the rest for TP2/TP3.
- **Stop-Loss (SL)**: Close the position if the price hits the SL level ("❌ SL Stopped Out" appears).
- **Partial Closes**: Use multiple TP levels to scale out of positions incrementally.
#### 5. **Trend and Volatility Analysis** 📊
- **Trend Direction and Strength**: The table shows whether the trend is "Up" or "Down" and its strength ("Strong" or "Weak"). Strong trends may warrant more aggressive positions.
- **Volatility**: ATR-based volatility indicators help gauge market conditions. High volatility (green) suggests larger price moves, while low volatility (red) indicates calmer markets.
#### 6. **Risk Management** ⚠️
- Always use the SL level and assess the risk/reward ratio (e.g., 2:1 for TP1, 4:1 for TP2).
- In low volatility (red), consider smaller positions; in high volatility (green), expect larger moves.
---
### 🛠️ **Example Position Opening Scenario**
**Scenario: Long Position**
- **Situation**: EMA 38 crosses above EMA 62, and a green "BUY" label appears.
- **Entry Price**: 100 (yellow line).
- **TP Levels**: TP1: 104, TP2: 108, TP3: 112.
- **SL Level**: 96.
- **Strategy**:
1. Open a long position at 100.
2. Close 50% of the position at TP1 (104), hold the rest for TP2 (108) or TP3 (112).
3. Exit fully if the price hits SL (96).
- **Table Status**: "Signal: BUY", "Position Status: In Progress ⏳", "Trend Strength: Strong", "Volatility: High".
**Scenario: Short Position**
- **Situation**: EMA 38 crosses below EMA 62, and a red "SELL" label appears.
- **Entry Price**: 100.
- **TP Levels**: TP1: 96, TP2: 92, TP3: 88.
- **SL Level**: 104.
- **Strategy**: Manage the position similarly, scaling out at TP levels.
---
### 💡 **Tips and Suggestions**
1. **Timeframe**: The indicator works across timeframes (1H, 4H, daily). Short-term traders can use 1H-4H, while long-term traders may prefer daily charts.
2. **Combine with Other Indicators**: Use RSI, MACD, or support/resistance levels to confirm signals.
3. **Backtesting**: Test the strategy on historical data to evaluate performance.
4. **Customization**: Adjust ATR multipliers or EMA periods to suit your market or strategy.
5. **Discipline**: Stick to signals and avoid emotional decisions.
---
### 🎨 **Visual Features**
- **Colored Lines and Labels**: Entry, TP, and SL levels are displayed with colored lines (yellow, green, teal, blue, red) for clarity.
- **Table**: The top-right table summarizes all key information (signal, levels, trend, volatility).
- **Bar Coloring**: Green bars for bullish trends and red bars for bearish trends make trend direction easy to spot.
- **Emojis**: Position status is enhanced with emojis like ⏳ (in progress), ✅ (successful), and ❌ (failed) for visual appeal.
---
### ⚠️ **Warnings and Limitations**
- **Market Conditions**: The indicator performs best in trending markets; it may produce false signals in ranging markets.
- **Risk Management**: Always use proper risk/reward ratios and risk only a small portion of your capital.
- **Lag**: EMAs are lagging indicators, so signals may be delayed in fast-moving markets.
- **Customization Needs**: Default settings may not suit all markets; test and optimize as needed.
---
### 🌟 **Conclusion**
TrendGradient is a user-friendly, visually appealing indicator for trend tracking and automated level calculation. It generates signals via EMA crossovers, calculates dynamic TP/SL levels with ATR, and presents all information clearly through tables, lines, and labels. By using this tool with discipline, you can make more informed and successful trading decisions! 🚀
If you have further questions or need help customizing the indicator, feel free to ask! 💬 Good luck and happy trading! 🍀
EMA ZONE MASTER [By TraderMan]🟢 EMA Zone Master Indicator Explanation 🚀
🌟 What is the EMA Zone Master?
The EMA Zone Master is a powerful TradingView Pine Script indicator designed to help traders identify trends, entry points, and manage trades with precision. It leverages a 200-period EMA (Exponential Moving Average) to create a dynamic zone for spotting bullish 📈 and bearish 📉 trends. The indicator provides clear buy/sell signals, take-profit (TP) levels, and stop-loss (SL) levels, making it ideal for both novice and experienced traders! 💪
🔍 How Does It Work?
The indicator uses the 200-period EMA as its core, surrounded by a zone defined by a percentage offset (default 0.3%). Here's how it operates:
Trend Detection 🧠:
The price's position relative to the EMA zone determines the trend:
Above the zone (with tolerance and minimum distance) signals a bullish trend (BUY 📈).
Below the zone signals a bearish trend (SELL 📉).
A neutral trend occurs when the price is within the zone or lacks momentum.
A trend is confirmed after a set number of bars (default 3) to filter out noise. 🔎
Trade Signals 🚦:
Buy Signal: Triggered when the price breaks above the EMA zone with confirmation.
Sell Signal: Triggered when the price breaks below the EMA zone with confirmation.
Signals are visualized with labels ("BUY" or "SELL") on the chart for clarity. ✅
Position Management 🎯:
Entry Price: Set at the closing price when a signal is triggered.
Take-Profit Levels: Three TP levels (TP1, TP2, TP3) are calculated based on a Risk/Reward Ratio (default 0.7).
Stop-Loss: Calculated using the ATR (Average True Range) with a multiplier (default 6.0) for volatility-based protection. 🛡️
Lines and labels for entry, TP, and SL are drawn on the chart for easy tracking.
Trend Strength 💪:
The indicator calculates trend strength (0-100%) and categorizes it as Very Strong, Strong, Moderate, Weak, or Very Weak. This helps gauge the reliability of the trend. 🌡
Analysis Comment 📝:
A dynamic comment provides professional insights based on trend strength, guiding traders on whether to act or wait. 🧑💼
Visuals & Alerts 🔔:
The EMA, zone boundaries, and candlestick colors change based on the trend (green for bullish, red for bearish, gray for neutral).
A table in the top-right corner summarizes key data: trend direction, strength, entry price, TP/SL levels, and success rate.
Alerts are generated with detailed trade information when a new signal appears.
🛠 How to Use It?
Setup on TradingView ⚙️:
Add the EMA Zone Master to your chart via the TradingView Pine Script editor.
Customize settings like EMA Length (default 200), Zone Width (0.3%), ATR Period (50), and Risk/Reward Ratio (0.7) to suit your trading style. 🛠
Interpreting Signals 📊:
Buy Signal (AL): Look for a "BUY" label and green candlesticks when the price breaks above the EMA zone. 📈
Sell Signal (SAT): Look for a "SELL" label and red candlesticks when the price breaks below the EMA zone. 📉
Check the table for trend strength and analysis comments to confirm the signal's reliability.
Opening a Position 💸:
Long Position: Enter a buy trade when a "BUY" signal appears. Set your take-profit at TP1, TP2, or TP3 and stop-loss at the SL level shown on the chart.
Short Position: Enter a sell trade when a "SELL" signal appears. Use the TP and SL levels provided.
The indicator automatically plots these levels as lines and labels for easy reference. 🎯
Managing Trades 🕒:
Monitor the trade's progress via the table and labels.
The indicator tracks if TP1, TP2, or TP3 is hit or if the trade stops out, updating the Last Result in the table (e.g., "✅ TP1 SUCCESS" or "❌ STOPPED OUT").
Use the Success Rate (displayed in the table) to gauge historical performance (75% for BUY, 65% for SELL, 50% for NEUTRAL).
Using Alerts 🔔:
Set up alerts in TradingView to receive notifications when a buy or sell signal is triggered.
The alert message includes the trend, strength, entry price, TP/SL levels, success rate, and analysis comment for quick decision-making.
📈 How to Open a Position?
Wait for a Signal: Ensure a "BUY" or "SELL" label appears, and the trend strength is at least Moderate (40%+) for higher confidence. ✅
Check the Table: Review the trend direction, strength, and analysis comment to confirm the trade setup. 📊
Enter the Trade:
For a Buy: Enter at the entry price shown, set TP1/TP2/TP3 and SL as indicated by the lines/labels.
For a Sell: Same process, but for a short position.
Monitor: Watch for TP or SL hits. The indicator will update the table with the result (e.g., "✅ TP3 SUCCESS"). 🕒
Risk Management: Always adhere to the stop-loss level to limit losses, and consider partial profit-taking at TP1 or TP2 for safer trading. 🛡️
🎉 Why Use EMA Zone Master?
Clear Signals: Easy-to-read buy/sell signals with visual cues. 🚦
Automated Levels: Pre-calculated TP and SL levels save time and reduce errors. 🧮
Trend Strength Insight: Helps avoid weak trends and focus on high-probability setups. 💪
Professional Analysis: Dynamic comments guide your trading decisions. 🧑💼
Customizable: Adjust settings to match your trading style or market conditions. ⚙️
Alert System: Stay informed with detailed alerts for timely action. 🔔
⚠️ Tips for Success
Confirm with Other Tools: Use additional indicators (e.g., RSI, MACD) to validate signals. 🔍
Test First: Backtest the indicator on your preferred market/timeframe to understand its performance. 📉
Risk Management: Always use proper position sizing and respect stop-loss levels. 🛑
Higher Timeframes: The indicator works best on higher timeframes (e.g.,15MİN, 1H, 4H, Daily) for stronger signals. ⏰
Happy trading with EMA Zone Master! 🚀 Let it guide you to smarter, more confident trades. 💰 Feel free to tweak settings and share your results! 😊
Volume Pressure Gauge + Volume %Volume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide
This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour.
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Key Functional Segments
1. Inputs and Configuration
Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts.
2. Volume Data Calculations
The indicator calculates three key volume metrics:
• volToday: The current day’s volume.
• volAvg: The average volume over the user-defined SMA period (default is 20 bars).
• volPct: The current volume as a percentage of the average.
This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness.
3. Volume Pressure Calculation
The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session.
4. Visual Representation (Progress Bars)
The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth.
5. Table Display
A compact table is drawn on the chart showing:
• Buy pressure percentage and corresponding bar.
• Sell pressure percentage and corresponding bar.
• Volume percentage compared to the recent average.
This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays.
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How Traders Benefit from This Indicator
• Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction.
• Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves.
• False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries.
• Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive.
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Basic Usage Guide
1. Add the script to your TradingView chart and set your preferred SMA length for volume comparison.
2. Customize the table’s position using the X and Y settings for clarity and alignment.
3. Interpret the outputs:
o A higher red bar indicates dominant sell pressure.
o A higher green bar indicates dominant buy pressure.
o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction.
4. Apply to trading decisions:
o High buy pressure and high volume may indicate a strong long opportunity.
o High sell pressure and high volume may support short setups.
o Low volume or conflicting signals may call for caution.
5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups.
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Practical Example
• Sell Pressure: 70% → Suggests strong seller control; potential for short setups.
• Buy Pressure: 30% → Weak buying interest; long trades may carry risk.
• Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity.
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Tips for New Traders
• Use this indicator as a confirmation tool rather than a standalone strategy.
• Begin on higher timeframes (4-hour or daily) to develop familiarity.
• Compare multiple examples to identify reliable patterns over time.
• Always incorporate proper risk management, including stop losses.
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Disclaimer from aiTrendview
This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
ALNADAMomentum indicator try to discover market turning points early, using trend, divergence, and momentum.
