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Buysellsignal

Alpha Signal Engine Pro [MarkitTick]🎁 Our gift to the TradingView community. This indicator was previously available as a paid, invite-only tool. Today, it is permanently and unconditionally free — open to every trader on TradingView without restriction, without a subscription, and without an expiration date. No catch. No trial period. Ours to you, forever. 💡A comprehensive trend-following and market-state detection framework . It operates by generating a dynamic, volatility-adjusted trailing band that reacts not just to price movements, but to the shifting structural regimes of the asset. By analyzing True Range, historical price percentiles, and momentum simultaneously, this indicator filters out market noise and isolates high-probability directional shifts. It inherently guards against false signals during flat or consolidating markets through a multi-layered filtering matrix, ensuring that traders are presented with actionable data only when strict momentum and structural conditions are met. ● ✨ Originality and Utility Most trend-following systems rely on static multipliers or fixed lookback periods, rendering them susceptible to sudden market regime changes. The primary utility of this engine lies in its adaptive nature. It introduces a Volatility Fingerprint module that constantly scans the environment, classifying the market into distinct regimes: Alpha, Beta, Gamma, and Delta. Based on this continuous assessment, the indicator autonomously scales its sensitivity, smoothing depth, and filter thresholds. This means the engine tightens its criteria during erratic, low-liquidity chop and expands its bands during high-volatility expansions, providing an organic, self-adjusting framework that eliminates the need for constant manual parameter tuning. ● 🔬 Methodology and Concepts • Dynamic Trailing Core At the heart of the engine is a composite distance formula that calculates a dynamic half-band. Instead of relying solely on a basic Average True Range (ATR) multiplier, it combines three elements: an absolute band multiplier, an ATR weight normalized against the closing price, and a raw price move weight. This composite value is then smoothed using an Exponential Moving Average (EMA) alpha factor. The resulting smoothed band is applied to the median price to establish upper and lower boundaries, forming the basis of the trendline. • Volatility Fingerprinting The script normalizes the ATR as a percentage of the closing price and ranks it against a historical lookback window using non-parametric percentile thresholds. By splitting the historical distribution into quartiles (25th, 50th, and 75th percentiles), the asset's current volatility is placed into a specific bucket. The core mathematical weights and matrix thresholds are then dynamically multiplied by regime-specific scalars. • Alpha Filtering Matrix To prevent whipsaws, the script employs a five-layer matrix that acts as a logical gatekeeper before any signal is validated: - Trendline Stall: Measures the absolute change in the trendline against a fraction of the ATR. - Slope Regression: Computes the linear regression slope of the trendline over a rolling window and normalizes it. - Volume Gate: Compares current volume to a dynamic simple moving average of volume. - Range Gate: Checks if the current bar's High-Low range exceeds a specific historical percentile. - Basis Point (BPS) Delta: Ensures the trendline shift meets a minimum percentage threshold. • Breakout Override If the market suddenly explodes with extreme momentum, a Breakout Override function bypasses the filtering matrix. If the absolute change in price heavily exceeds a set multiple of the ATR, the system immediately forces engagement to capture the breakout. ● 🎨 Visual Guide • Dynamic Trendline A solid line plots the active trailing stop and trend direction. By default, it is colored Cyan for a Bullish trend and Magenta for a Bearish trend. This line steps up or down along with price action, providing a clear visual anchor for the current structural bias. • Dynamic Bar Coloring The chart's candlesticks are dynamically colored using a visual gradient. The script measures the normalized distance of the closing price from the trendline. When price is near the trendline, candles assume a neutral slate-blue tone. As momentum carries price further away, the color interpolates into bright Cyan (Bullish) or Magenta (Bearish), immediately illustrating trend strength. • Cloud Fill A semi-transparent cloud is drawn between the primary trendline and a smoothed moving average of the typical price. This creates a visual "value zone" on the chart, helping users quickly identify the spatial relationship between the current trend anchor and the smoothed price core. • HUD Dashboard A comprehensive heads-up display is positioned in the top-right corner of the chart. It outputs real-time diagnostic data: - Direction: Displays the current structural bias (Bullish/Bearish). - Signal: Indicates if an actionable Buy or Sell signal is present. - Override: Shows the status of the Breakout Override (Off, Nominal, or Engaged in Orange). - Matrix Pillars: Five rows display the status of the Stall, Slope, Volume, Range, and BPS Delta filters. A Red "Flat" tag indicates the filter is blocking signals, while a Green "Active" tag indicates the path is clear. - VF Regime: The bottom row explicitly states the current volatility state (Alpha, Beta, Gamma, or Delta) with corresponding color codes. • Signal Labels When a directional flip occurs and the matrix conditions are met, explicit "BUY" (Upward pointing, subtle green) or "SELL" (Downward pointing, subtle red) labels are plotted precisely at the trendline level. • Non-Standard Chart Warning If the user applies the script to Heikin Ashi, Renko, Line Break, Kagi, or Point & Figure charts, a bold Red warning table will appear in the top-left corner. This warns the user that standard signals may repaint due to the synthetic price data of non-standard charts. 📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings. ● 📖 How to Use • Identifying Entries Wait for a clear crossover of the closing price over the dynamic trendline. For a valid entry, ensure the HUD Dashboard confirms the matrix conditions are "Active" and not "Flat." The emergence of a defined BUY or SELL label serves as the primary action trigger. • Managing the Trade Once in a position, the dynamic trendline serves as a logical trailing stop-loss level. As the trendline steps in the direction of the trade, users can manually trail their risk. The color gradient on the bars provides a secondary gauge; fading colors suggest weakening momentum and a potential reversion to the mean. • Regime Awareness Monitor the VF Regime status on the dashboard. In "Alpha" or "Beta" (lower volatility), expect tighter bands and slower movements. In "Gamma" or "Delta" (extreme volatility), be prepared for wider stops and aggressive price action. The indicator will automatically handle the mathematical adjustments, but position sizing should reflect the increased environmental risk. • Repaint Warning Note Always utilize this indicator on standard candlestick or bar charts. The underlying calculations depend on absolute close, high, and low values. Applying this to Heikin Ashi will cause lookahead bias and repainting signals. 🏆 Golden Rule — Before You Trade This Indicator: Never rely on the default settings, every asset behaves differently. Every timeframe has its own rhythm. Default settings are a starting point — not a strategy. The best configuration is the one you build yourself, through deliberate testing: Adjust the settings methodically until false signals are minimized and entry/exit accuracy is maximized. Test on your specific asset. Test on your specific timeframe. Then lock in what works. The trader who takes time to configure is the trader who profits consistently. ● ⚙️ Inputs and Settings • Volatility Fingerprint Group Allows users to toggle the adaptive engine on or off, and set the lookback length used to determine the historical percentiles for regime classification. • Core Engine Parameters Controls the baseline foundation. Adjust the ATR period, the absolute Band Multiplier, the relative ATR Weight, the Price Move Weight, and the EMA Smoothing Length. When VF is enabled, these act as the baseline from which multipliers scale. • Alpha Filtering Matrix Provides granular control over the five anti-chop filters. Users can toggle each filter independently and adjust their strictness, such as the Flatness Threshold, Regression Length, Slope Threshold, Volume MA Length, and Range Percentile. • Display & Cloud Configuration Permits full aesthetic customization of the Bull/Bear colors, neutral gradient tones, visibility of the dashboard, signal labels, and the transparency parameters of the cloud fill. • Alert Actions Customizable string inputs that feed directly into the JSON webhook alert system, allowing automated traders to define syntax for Long, Short, Close Long, and Close Short actions. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework • Autoregressive Smoothing and Moving Averages The system employs an Exponential Moving Average (EMA) to smooth its dynamic raw band. The mathematical alpha factor is defined as 2 / (N + 1), where N is the user-defined smoothing length. This recursive formula assigns geometrically decreasing weights to older observations, ensuring the trendline remains highly responsive to recent price vectors while mathematically filtering high-frequency noise. • Non-Parametric Rank Statistics To evaluate the volatility state, the script calculates the nearest-rank percentile of the normalized ATR over a rolling window. Unlike standard standard-deviation bands (such as Bollinger Bands) that assume a normal Gaussian distribution of returns, this non-parametric percentile approach does not assume normality. This is statistically robust for financial time series, which exhibit leptokurtic (fat-tailed) distributions, ensuring accurate classification even during severe market outliers. • Linear Regression and Slope Normalization The Slope Filter relies on the Ordinary Least Squares (OLS) linear regression of the trendline. By calculating the change between the current linear regression value and the previous bar's value, it extracts a pure mathematical slope. To make this slope asset-agnostic, it is normalized by dividing the raw slope by the ATR, yielding a dimensionless ratio that accurately represents directional velocity regardless of the instrument's absolute price. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script®指标
由MarkitTick提供
8
MACD RSI Signals - XWiseTradeMACD crosses, confirmed by RSI direction. A MACD cross alone fires in every choppy stretch. This indicator only takes the cross when RSI agrees with the direction — cutting out the counter-trend traps. Signals: •Buy — MACD bullish cross with RSI above its midline •Sell — MACD bearish cross with RSI below its midline Features: •Clean "Buy" / "Sell" labels right on the candle •MACD crossover as trigger, RSI as trend filter •Signal cooldown to avoid clutter •Adjustable RSI and MACD settings •Built-in alerts Great for trend-following entries that wait for momentum and direction to line up.
Pine Script®指标
由xwisetrade提供
Momentum Vol Composite Pro [JOAT]MOMENTUM VOL COMPOSITE PRO A four-factor composite oscillator that fuses momentum, volatility, volume-flow, and trend into a single Z-normalised line — then exposes per-factor weights, divergence detection, an ASCII gauge dashboard, and a slope-coloured composite MA. Built on the idea that no single oscillator tells you what the market is doing — but four orthogonal ones, properly normalised and weighted, can. The four factors Each factor is Z-normalised (subtract its own rolling mean, divide by its own rolling stdev) before being blended, so they all live on the same scale and a weight of "0.25" actually means "one-quarter share of the composite" regardless of the instrument: ROC (Rate-of-Change) — the price-velocity factor. Captures pure directional momentum. ATR (volatility) — the range-expansion factor. Rises when bars are getting larger; useful as a "the market is committing" signal. Volume Flow — cumulative volume minus its own EMA. A proxy for net accumulation/distribution that is regime-aware (it normalises around its own trend). EMA Difference — short EMA minus long EMA, the classic MACD-style trend factor. The four Z-scores are weighted (sliders 0–4 each, default 0.25 each), sum-normalised internally so any positive configuration is valid, and combined into a single composite Z-line. An EMA smoother on top of the composite produces the slope-coloured Composite MA that drives Buy/Sell flips. This is what "composite" should mean — orthogonal factors, weighted, on a common scale, with the weights exposed so the trader controls the personality. Why per-factor weights matter Default 0.25 / 0.25 / 0.25 / 0.25 reproduces the textbook equal-weight composite. But equal weights are an assumption , not a fact. If your instrument is volume-driven, raise VolFlow Weight. If your timeframe is dominated by trend, raise EMA Diff Weight. If you are scalping a noisy intraday environment, drop ROC Weight in favour of VolFlow. The composite reshapes itself live as you slide. Signal engine A Buy signal fires when the composite MA slopes up; a Sell fires when it slopes down. The composite line itself crosses the configurable threshold guides (default ±1 Z) to mark "extreme bull" and "extreme bear" states. A separate alert fires when |composite| crosses the Extreme threshold (default 2.0 Z) — the script's strongest read. Divergence engine (JOAT enhancement) A slope-comparison divergence runs in parallel: it compares the slope of the composite against the slope of price over a configurable lookback. Both slopes must exceed an epsilon to filter out flat-region noise, and a divergence cooldown spaces them out. Divergence labels can be forced onto the main chart pane via force_overlay so you can see them without flipping to the oscillator pane. Histogram background Faint columns plot the raw composite value behind the line — this is useful as a "before the slope flips" early read. You can see exhaustion building in the histogram before the slope-coloured MA actually turns. ASCII gauge dashboard (JOAT enhancement) A monospaced dashboard with a unique feature — each per-factor row shows both the numeric Z-value and an ASCII bar gauge ("|||||----" style) that renders the value visually inside the table cell. The gauge maps Z in the range linearly across N glyphs (configurable width), with a separator at the centre. At a glance you can see which factors are dominating without reading the numbers. Dashboard rows: Composite Z + bar gauge + status (extreme bull / bull / neutral / bear / extreme bear). ROC Z + gauge. ATR Z + gauge. VolFlow Z + gauge. EMA Diff Z + gauge. Composite MA slope (Rising / Falling / Flat). Last signal direction with bar age. Divergence status with cooldown remaining. Visual system Slope-coloured composite MA (bull / bear by slope sign, configurable width). Translucent composite line for context (transparency configurable, default matches the v5 source). Threshold guide lines at ±1, zero line, and faint background histogram for exhaustion-before-flip reads. Buy / Sell labels can be force-overlaid onto the main chart pane if desired. A locked Emerald-Night palette (vivid green bull / vivid red bear / sage neutral on a midnight-forest ground) gives the pane a distinct identity. Alerts Five alert conditions: Composite crossover above high threshold (default +1) Composite crossunder below low threshold (default −1) |Composite| crosses Extreme |Z| (default 2.0) Bullish divergence detected Bearish divergence detected How to read it Three reads, in order of conviction: ASCII gauge agreement — when all four factor gauges point the same way, the composite is a high-conviction read. When they disagree, the composite is a wash. Composite MA slope — once the smoothed line slope flips and price agrees, you have a clean signal. Divergence + extreme |Z| — the rarest and strongest read. A divergence at a composite extreme tells you that one of the factors is rolling over while price is not, which is the textbook reversal setup. The histogram is the leading indicator on the line — when it starts shrinking while price is still extending, the slope is about to flip. Suggested settings Defaults (ROC 14, ATR 14, VolFlow 20, ShortEMA 12, LongEMA 26) reproduce the classical configuration. For lower timeframes drop all lengths roughly proportionally. The per-factor weights are where the personality lives: pure trend-following bias → raise EMA Diff to 1.5, drop ATR to 0.1. Pure volatility-of-momentum bias → raise ROC and ATR, drop VolFlow. Originality / what's reused The factor primitives (ROC, ATR, EMA difference, cumulative volume flow) are public-domain. The Z-normalisation pipeline that puts them on a common scale, the sum-normalised per-factor weighting, the ASCII bar-gauge dashboard, the histogram-behind-line exhaustion view, the slope-coloured composite MA, and the divergence engine with epsilon filter are all JOAT-original and tuned together as a single oscillator. No third-party code reused. Open source Published open-source under the default Mozilla Public License 2.0. Sectioned source, tooltips on every input, helper functions documented inline. Each factor's Z-normalisation, the weighting pipeline, the gauge renderer, and the divergence detector are isolated modules — adapt any single one without reading the whole file. Limitations The composite is statistical in nature — it tells you how stretched the blend is, not which specific factor is driving the read. That is what the per-factor rows are for. The Z-normalisation needs enough history to be meaningful; on a fresh chart with little data the composite warms up to flat. Divergences are non-repainting but carry the natural lag of slope-over-window comparison. — -made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
RSI MACD Confluence - XWiseTradeTwo confirmations, one signal — RSI and MACD must agree. Most single-indicator signals fire too often and trap you in noise. This indicator only prints a Buy or Sell when both RSI and MACD line up at the same time, filtering out the weak setups. Signals: •Buy — RSI oversold and MACD turning bullish •Sell — RSI overbought and MACD turning bearish Features: •Clean "Buy" / "Sell" labels right on the candle •Both RSI and MACD required for every signal — no single-indicator noise •Signal cooldown to avoid clutter •Adjustable RSI and MACD settings •Built-in alerts Great for traders who want confirmation before acting, not just another oscillator.
Pine Script®指标
由xwisetrade提供
Neural Kernel Bands [JOAT]NEURAL KERNEL BANDS A non-parametric kernel-regression centreline wrapped in adaptive residual sigma bands. Where a moving average assumes price was generated by a fixed-form equation (linear in lag, weighted in lag, etc.), kernel regression makes no such assumption — it lets the local density of the data decide where the centreline should sit. The result is a smoother, more honest representation of where price really is, without the corner-cutting that EMAs and HMAs introduce around pivots. Why kernel regression instead of another moving average Every moving average is a kernel — but a rectangular one (or in HMA's case, a chained-weighted one). Kernel regression generalises the idea: instead of one fixed weight curve, you pick the shape of the curve based on the assumption you want to make about how much each historical bar should matter. Neural Kernel Bands ships three: Gaussian — the textbook bell curve, K(u) = exp(−u² / 2h²). Heavy tails, smooth everywhere. The most stable default. Epanechnikov — compact-support parabolic, K(u) = max(0, 1 − u²/h²). Mathematically optimal in the mean-squared-error sense; lightest tails, slightly more responsive than Gaussian at the leading edge. Tricube — LOWESS-style, K(u) = max(0, (1 − |u/h|³)³). Very smooth shoulders; great on noisy intraday data where you want a confident centreline rather than a chasing one. All three feed the same Nadaraya–Watson skeleton — a weighted-average estimator of the form ŷ = Σ K(i)·close / Σ K(i) — and all three respect the bandwidth h in the same way. The kernel choice changes the personality of the line; the bandwidth controls its memory. Adaptive bandwidth (ATR-scaled) Static bandwidths break in changing regimes. When realised volatility expands, a fixed bandwidth produces a centreline that lags badly; when it contracts, the same bandwidth becomes noise-amplifying. Neural Kernel Bands scales h in real time by normalised ATR — so the kernel widens when the market is volatile and tightens when it is quiet. The scale is intentional: h_effective = h_base × (1 + ATR/close × factor) , which keeps the band stable across instruments without per-symbol tuning. A bandwidth-jump alert fires when h moves by more than a user-set fraction in a single bar. This is your early-warning signal that the volatility regime has flipped — useful both as a confirmation for breakouts and as a heads-up that any reversion play has just become higher-risk. Residual sigma bands The bands themselves are not arbitrary multiples of ATR. They are the rolling standard deviation of the residual (close − kernel MA), EMA-smoothed, then scaled by your sigma multiplier. This is a meaningful number — it answers the question: how much do we usually deviate from the kernel before reverting? When the answer is small, the bands hug the line and a breakout is statistically significant; when the answer is large, breaks of the band are normal and should be downweighted accordingly. A confirmed close above the upper band latches the state to Bullish ; a confirmed close below the lower band latches to Bearish . State only flips on the opposite band — there is no neutral repainting. Buy / Sell labels fire on the state-flip bar, not on every confirming bar, so the chart stays clean. Divergence engine A pure slope-comparison divergence runs in parallel: it compares the kernel slope over a lookback window against the price slope over the same window. Bullish divergence is registered when price slope is negative AND kernel slope is positive (price falling, kernel turning up); bearish divergence is the mirror. Both slopes must exceed a user-set fraction of ATR × lookback so flat regions never trigger noise divergences, and a cooldown spaces them out. Divergence labels print ▲ Div or ▼ Div in the palette colour at the wick they fire from. Three visual modes The same kernel and sigma feed every mode — pick the one that matches your chart style: Bands — classic upper / lower envelope with toggleable fill. Best for mean-reversion and band-touch analysis. Single Line — kernel centreline with a gradient fill between the line and price. Best for pure trend-following. Trail — only the trailing band is drawn, in the active state colour, with an optional sin-modulated pulse alpha that creates a subtle animated breathing effect. Best for visual conviction in directional moves. State candles and bar colouring are independent toggles, so you can layer or strip the visual stack to taste. Dashboard A 10-row monospaced table with a subtle vertical-alpha gradient, positionable to any of nine corners. Each row carries one live diagnostic: Signal — current latched state with directional glyph. Kernel MA — current centreline value. Upper Band — current upper-sigma band. Lower Band — current lower-sigma band. Band Width σ — the residual sigma itself (volatility metric). Bandwidth h — current kernel bandwidth, with (adaptive) tag when ATR-scaling is on. Kernel — active kernel name (Gaussian / Epanechnikov / Tricube). Divergence — bull / bear divergence active, with bar age. Regime — stable or ⚡ SHIFT, with the % bandwidth jump that triggered it. Alerts Five alert conditions, each non-repainting: NKB — Bullish Breakout (close crosses above upper band) NKB — Bearish Breakdown (close crosses below lower band) NKB — Bullish Divergence NKB — Bearish Divergence NKB — Bandwidth Regime Shift How to use it For trend-following: switch to Single Line or Trail mode, set the kernel to Tricube with adaptive bandwidth ON, and take state-flip labels in the direction of the higher-timeframe kernel. For mean-reversion: switch to Bands mode, set the kernel to Gaussian or Epanechnikov, and fade band touches that occur with a divergence label and a low band-width-sigma reading. The Bandwidth Regime Shift alert is most useful as a heads-up — it fires before either of the directional alerts and tells you the volatility surface has just changed; whatever play you had on a minute ago may need to be re-evaluated. Suggested settings Defaults are tuned for the 15m–1H window on liquid futures and crypto. For 5m and below, drop Lookback Window to ~20 and Base Bandwidth (h) to ~6.0. For daily and above, raise Lookback to 50 and Bandwidth to 12. The kernel choice and the bandwidth jointly control how much the line trusts the recent past ; the sigma multiplier separately controls how much movement you are willing to call normal . Limitations The kernel regression is computed each bar over the lookback window — on very long lookbacks the script does real arithmetic across many bars, so very low timeframes on very long windows can feel heavy. State transitions and signals are confirmed on bar close, so a band-touch within the bar that gets reabsorbed will not fire a signal — this is deliberate and prevents intra-bar repainting. Divergence is non-repainting but is computed at the current bar, so it carries the natural lag of comparing slopes over a window. — Closed-source: the kernel weighting routine, the adaptive-bandwidth scaling factor, the residual-sigma smoothing chain, and the regime-shift trigger logic are proprietary. Behaviour is fully described above so you can judge fit before deciding it belongs on your chart. — -made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
VSA TRADING STRATEGY _ TheBitcoin537━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ VSA STRATEGY — Volume Spread Analysis by TheBitcoin537 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator implements a complete Volume Spread Analysis (VSA) framework designed to identify institutional activity through the relationship between price spread, closing position, and volume. It detects five core VSA signal types and combines them into a confluence-based entry system with automatic SL/TP projection and a live stats dashboard. ───────────────────────────────────────────────── 📊 WHAT IS VSA? ───────────────────────────────────────────────── Volume Spread Analysis is a methodology that studies the relationship between: • Volume — the effort put into a price move • Spread — the range between high and low • Close — where price settled within the spread When effort (volume) does not match result (price movement), it reveals the hidden activity of professional operators — institutions, market makers, and smart money. ───────────────────────────────────────────────── 🔍 5 SIGNALS DETECTED ───────────────────────────────────────────────── 1. 🛑 STOPPING VOLUME High volume candle with a small body and long lower wick appearing at a swing low. Indicates professional absorption of selling pressure. Potential demand zone forming. 2. 📦 NO SUPPLY BAR Narrow spread bearish candle on below-average volume. Indicates sellers are absent from the market. Bullish condition when appearing after Stopping Volume. 3. ⚡ EFFORT VS RESULT High volume bar where price fails to move proportionally. Divergence between effort and result signals hidden absorption or distribution by professionals. 4. 🧲 TEST BAR Low volume retest of a prior high-volume node. Price dips and closes near its high. Confirms supply has been removed. Often the final confirmation before a markup phase. 5. 🚀 SIGN OF STRENGTH (SOS) / 🔻 SIGN OF WEAKNESS (SOW) Wide spread candle on high volume breaking a key structural level. SOS confirms bullish intent. SOW confirms bearish intent. ───────────────────────────────────────────────── ✅ ENTRY LOGIC — CONFLUENCE STACK ───────────────────────────────────────────────── LONG entry requires: → Stopping Volume within last 5 bars → No Supply Bar OR Test Bar confirmation → Bullish closing candle SHORT entry requires: → Sign of Weakness within last 5 bars → Effort vs Result divergence present → Bearish closing candle Entries are only triggered when multiple signals align — reducing false signals significantly. ───────────────────────────────────────────────── 📐 AUTOMATIC SL / TP PROJECTION ───────────────────────────────────────────────── On every valid entry, the indicator automatically draws: • Stop Loss — below/above ATR buffer • TP1 — minimum 1:1 Risk:Reward • TP2 — 2:1 Risk:Reward extension All levels are displayed as dashed lines with clear labels directly on the chart. ───────────────────────────────────────────────── 📊 LIVE STATS DASHBOARD (Top Right) ───────────────────────────────────────────────── Displays in real time: • Win Rate % • Total Trades taken • Wins and Losses count • Open trade status • Minimum R:R setting • Signal legend reference ───────────────────────────────────────────────── 📋 TRADE DETAIL BOX (Bottom Right) ───────────────────────────────────────────────── When a trade is active, displays: • Entry price • Stop Loss level with % distance • TP1 level with % distance • Direction (LONG / SHORT) • Signal that triggered the entry ───────────────────────────────────────────────── 🎨 VISUAL FEATURES ───────────────────────────────────────────────── • Color-coded background highlights per signal • Demand zones (green boxes) at Stopping Volume • Supply zones (red boxes) at Sign of Weakness • Signal labels directly on chart bars • Entry arrows (▲ LONG / ▼ SHORT) ───────────────────────────────────────────────── ⚙️ SETTINGS & CUSTOMIZATION ───────────────────────────────────────────────── • Volume Avg Lookback (default: 20) • Spread Avg Lookback (default: 14) • High / Low Volume Multipliers • Wide / Narrow Spread Multipliers • ATR Length and SL Multiplier • Minimum R:R Ratio (default: 1.0) • Toggle each signal on/off independently • Toggle zones, labels, dashboard, trade box • Panel position (Top Right / Left / Bottom) ───────────────────────────────────────────────── 🔔 ALERTS INCLUDED ───────────────────────────────────────────────── 8 alert conditions available: • Stopping Volume detected • No Supply Bar detected • Effort vs Result divergence • Test Bar detected • Sign of Strength (SOS) • Sign of Weakness (SOW) • LONG Entry — full confluence • SHORT Entry — full confluence ───────────────────────────────────────────────── 📌 RECOMMENDED USAGE ───────────────────────────────────────────────── Timeframes : 1H and 4H for highest accuracy 15M for session-based scalping Markets : Crypto, Forex, Stocks, Indices Sessions : London Open / New York Open preferred Combine : Works well alongside structure analysis, Order Blocks, and Fair Value Gaps ───────────────────────────────────────────────── ⚠️ DISCLAIMER ───────────────────────────────────────────────── This indicator is published for educational and informational purposes only. It does not constitute financial advice. Past performance of any signal or strategy does not guarantee future results. All trading involves risk. You are solely responsible for your own trading decisions. Always manage your risk appropriately. This script does not repaint entry signals. Results shown in the stats dashboard are based on historical bar data and are for reference only. ───────────────────────────────────────────────── 🔗 TheBitcoin537 ───────────────────────────────────────────────── Follow for daily crypto analysis, SMC setups, and trading education content. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator implements a complete Volume Spread Analysis (VSA) framework designed to identify institutional activity through the relationship between price spread, closing position, and volume. It detects five core VSA signal types and combines them into a confluence-based entry system with automatic SL/TP projection and a live stats dashboard. ───────────────────────────────────────────────── 📊 WHAT IS VSA? ───────────────────────────────────────────────── Volume Spread Analysis is a methodology that studies the relationship between: • Volume — the effort put into a price move • Spread — the range between high and low • Close — where price settled within the spread When effort (volume) does not match result (price movement), it reveals the hidden activity of professional operators — institutions, market makers, and smart money. ───────────────────────────────────────────────── 🔍 5 SIGNALS DETECTED ───────────────────────────────────────────────── 1. 🛑 STOPPING VOLUME High volume candle with a small body and long lower wick appearing at a swing low. Indicates professional absorption of selling pressure. Potential demand zone forming. 2. 📦 NO SUPPLY BAR Narrow spread bearish candle on below-average volume. Indicates sellers are absent from the market. Bullish condition when appearing after Stopping Volume. 3. ⚡ EFFORT VS RESULT High volume bar where price fails to move proportionally. Divergence between effort and result signals hidden absorption or distribution by professionals. 4. 🧲 TEST BAR Low volume retest of a prior high-volume node. Price dips and closes near its high. Confirms supply has been removed. Often the final confirmation before a markup phase. 5. 🚀 SIGN OF STRENGTH (SOS) / 🔻 SIGN OF WEAKNESS (SOW) Wide spread candle on high volume breaking a key structural level. SOS confirms bullish intent. SOW confirms bearish intent. ───────────────────────────────────────────────── ✅ ENTRY LOGIC — CONFLUENCE STACK ───────────────────────────────────────────────── LONG entry requires: → Stopping Volume within last 5 bars → No Supply Bar OR Test Bar confirmation → Bullish closing candle SHORT entry requires: → Sign of Weakness within last 5 bars → Effort vs Result divergence present → Bearish closing candle Entries are only triggered when multiple signals align — reducing false signals significantly. ───────────────────────────────────────────────── 📐 AUTOMATIC SL / TP PROJECTION ───────────────────────────────────────────────── On every valid entry, the indicator automatically draws: • Stop Loss — below/above ATR buffer • TP1 — minimum 1:1 Risk:Reward • TP2 — 2:1 Risk:Reward extension All levels are displayed as dashed lines with clear labels directly on the chart. ───────────────────────────────────────────────── 📊 LIVE STATS DASHBOARD (Top Right) ───────────────────────────────────────────────── Displays in real time: • Win Rate % • Total Trades taken • Wins and Losses count • Open trade status • Minimum R:R setting • Signal legend reference ───────────────────────────────────────────────── 📋 TRADE DETAIL BOX (Bottom Right) ───────────────────────────────────────────────── When a trade is active, displays: • Entry price • Stop Loss level with % distance • TP1 level with % distance • Direction (LONG / SHORT) • Signal that triggered the entry ───────────────────────────────────────────────── 🎨 VISUAL FEATURES ───────────────────────────────────────────────── • Color-coded background highlights per signal • Demand zones (green boxes) at Stopping Volume • Supply zones (red boxes) at Sign of Weakness • Signal labels directly on chart bars • Entry arrows (▲ LONG / ▼ SHORT) ───────────────────────────────────────────────── ⚙️ SETTINGS & CUSTOMIZATION ───────────────────────────────────────────────── • Volume Avg Lookback (default: 20) • Spread Avg Lookback (default: 14) • High / Low Volume Multipliers • Wide / Narrow Spread Multipliers • ATR Length and SL Multiplier • Minimum R:R Ratio (default: 1.0) • Toggle each signal on/off independently • Toggle zones, labels, dashboard, trade box • Panel position (Top Right / Left / Bottom) ───────────────────────────────────────────────── 🔔 ALERTS INCLUDED ───────────────────────────────────────────────── 8 alert conditions available: • Stopping Volume detected • No Supply Bar detected • Effort vs Result divergence • Test Bar detected • Sign of Strength (SOS) • Sign of Weakness (SOW) • LONG Entry — full confluence • SHORT Entry — full confluence ───────────────────────────────────────────────── 📌 RECOMMENDED USAGE ───────────────────────────────────────────────── Timeframes : 1H and 4H for highest accuracy 15M for session-based scalping Markets : Crypto, Forex, Stocks, Indices Sessions : London Open / New York Open preferred Combine : Works well alongside structure analysis, Order Blocks, and Fair Value Gaps ───────────────────────────────────────────────── ⚠️ DISCLAIMER ───────────────────────────────────────────────── This indicator is published for educational and informational purposes only. It does not constitute financial advice. Past performance of any signal or strategy does not guarantee future results. All trading involves risk. You are solely responsible for your own trading decisions. Always manage your risk appropriately. This script does not repaint entry signals. Results shown in the stats dashboard are based on historical bar data and are for reference only. ───────────────────────────────────────────────── TheBitcoin537 ───────────────────────────────────────────────── Follow for daily crypto analysis, SMC setups, and trading education content. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pine Script®指标
由Thebitcoin37提供
Risk Navigator Levels [JOAT]Risk Navigator Levels is an open-source Pine Script v6 overlay that turns confirmed trend-engine flips into a clean visual trade planning map. It draws an entry line, stop line, TP1, TP2, TP3, R-multiple labels, and optional risk/reward boxes after a confirmed setup. The script is not a full trading system. Its purpose is visual planning: once its internal engine confirms a new long or short state, it freezes the entry, stop, and target levels so the user can inspect structure, distance, and status without manually drawing every line. Core Concepts 1. Trend Engine Gate The engine compares a fast EMA, slower EMA basis, ATR gate, and VWAP. A long setup requires the fast line above the basis, price above the upper gate, price above VWAP, and fast-line slope agreement. Shorts use the mirrored logic. riseReady = fastLine > baseLine and close > upperGate and close > vwapLine and fastLine > nz(fastLine , fastLine) fallReady = fastLine < baseLine and close < lowerGate and close < vwapLine and fastLine < nz(fastLine , fastLine) 2. Confirmed Direction Change The script only creates a new level set when the engine direction changes on a confirmed bar. confirmedLong = barstate.isconfirmed and engineDir == 1 and previousDir != 1 confirmedShort = barstate.isconfirmed and engineDir == -1 and previousDir != -1 3. Stop Selection The stop is based on recent swing lookback and an ATR floor. This prevents the stop from being unrealistically tight relative to current volatility. 4. R-Multiple Targets Once risk is calculated, TP1, TP2, and TP3 are plotted as multiples of that risk. The default values are 1R, 2R, and 3R. 5. Status Tracking After a setup, the script tracks whether the stop or each target has been touched on confirmed bars and updates labels and dashboard status. Features Confirmed setup engine: Uses EMA, ATR gate, VWAP, and slope checks Frozen entry and stop: Levels are created at setup time TP1, TP2, TP3 targets: Target levels are R-multiple based Risk/reward boxes: Optional green and red boxes show distance visually Status labels: Shows whether SL, TP1, TP2, or TP3 has been touched Right-edge labels: Keeps levels readable without crowding older bars Dashboard: Shows mode, engine state, R size, targets, and status Alerts: Setup, stop touch, and target touch conditions Input Parameters Visuals: Palette Preset: Selects color pair Level Reach Bars: Forward extension of lines and boxes Risk/Reward Boxes: Toggles the boxes Engine: Source: Price source Fast Length: Fast EMA length Base Length: Slow EMA basis length ATR Length: Volatility length Confirmation Gate: ATR gate around the basis Risk: Stop Lookback: Swing lookback used for stop reference ATR Stop Floor: Minimum stop distance multiplier TP1 R / TP2 R / TP3 R: Target multiples How to Use This Indicator Step 1: Wait for a Confirmed Setup The script draws a new plan only after its engine direction changes on a confirmed bar. Step 2: Inspect R Size The dashboard R size shows the distance between entry and stop. Large R size means the setup requires wider risk. Step 3: Monitor Touch Status Labels and dashboard status update when the stop or targets are touched after the setup bar. Step 4: Use as a Planning Tool The levels help visualize trade structure. They do not replace account-level risk controls. Indicator Limitations This is a visual planning tool, not a complete execution strategy The engine can produce late signals during fast reversals Targets are mathematical R levels, not forecasts A stop touch and target touch can occur in the same bar on some candles; intrabar order cannot be known from closed OHLC alone Originality Statement Risk Navigator Levels is original in its integration of a confirmed trend gate, VWAP location, ATR stop floor, frozen R-level drawing system, and live status tracking. It is built as original Pine v6 code for transparent visual planning. Disclaimer This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Levels shown by the script are visual research levels and may not match actual execution conditions. Always use independent analysis and proper risk management. -Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
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Arc Trail Regime [JOAT]Arc Trail Regime is an open-source Pine Script v6 overlay that builds an accelerating trail around an adaptive EMA arc and gates directional flips with VWAP location. It is designed to show when price has crossed a dynamic trailing level while the broader value anchor agrees with the new side. The script focuses on a smooth regime trail rather than many signal markers. It displays the active arc, a soft cloud, optional gradient candles, and right-edge shelf levels created after confirmed flips. Core Concepts 1. Adaptive Arc Core The core blends fast and slow EMA curves. The blend weight increases when recent speed and volatility expansion increase, which makes the arc respond faster during active movement. speedRaw = math.abs(ta.ema(ta.change(sourceInput), 4)) / atrValue volRatio = nz(ta.ema(atrValue, 5) / ta.ema(atrValue, 55), 1.0) curveWeight = f_clamp(0.38 + speedNorm * 0.18 + volSpeed * 0.22, 0.25, 0.82) arcCore = ta.ema(slowArc + (fastArc - slowArc) * curveWeight, 3) 2. VWAP Gate Bull flips require price to be above VWAP. Bear flips require price to be below VWAP. This keeps the trail aligned with a basic value-location filter. 3. Accelerating Trail Width The trail distance uses ATR and a volatility speed boost. During active movement, the trail can tighten within bounds so it reacts faster to regime changes. 4. Confirmed Flip Shelves When a confirmed regime flip occurs, the script draws a shelf line near the flip bar. The shelf remains active until price invalidates it. 5. Distance Candles Candles can be colored from bearish to bullish based on their normalized distance from the active trail. Features Adaptive arc core: Blends fast and slow curves by speed and volatility VWAP-gated flips: Direction changes require price location agreement ATR trail: Trail distance scales with chart volatility Arc cloud: Soft band around the active trail Active shelves: Right-edge support/resistance references after confirmed flips Confirmed buy/sell flip markers: Compact BUY and SELL dots are offset away from candles and only print after confirmed regime flips Gradient candles: Optional candle coloring by trail distance Dashboard: Shows regime, VWAP side, distance, speed, and shelf status Alerts: Confirmed bull flip and confirmed bear flip Input Parameters Visuals: Palette Preset: Selects bull and bear colors Arc Cloud: Shows the trail cloud Gradient Candles: Enables candle coloring Confirmed Flip Signals: Shows compact BUY and SELL flip markers Active Shelves: Shows flip shelf lines and labels Engine: Source: Price source Inner Curve Length: Fast EMA length Outer Curve Length: Slow EMA length ATR Length: Volatility length Base Trail Width: Starting ATR trail multiplier Volatility Speed Boost: Controls how much expansion affects the trail How to Use This Indicator Step 1: Read the Active Regime The dashboard shows Bull or Bear based on the active trail side. Step 2: Confirm VWAP Location The VWAP row shows whether price is above or below the value gate used by the script. Step 3: Monitor Shelves Shelf lines are created after flips and can act as visual invalidation references. Indicator Limitations Trail systems can whipsaw during sideways markets VWAP behavior varies across sessions and symbols A shelf is a visual reference, not a complete stop model Fast volatility shifts can temporarily widen or tighten the trail abruptly Originality Statement Arc Trail Regime is original in its adaptive arc weighting, VWAP-gated regime flips, speed-sensitive trail width, and active shelf visualization. It is built with original Pine v6 code and public chart data. Disclaimer This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Trail flips can fail in range conditions or during abrupt volatility changes. Always use independent analysis and proper risk management. -Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Impulse Memory Engine [JOAT]Impulse Memory Engine is an open-source Pine Script v6 overlay that measures fresh displacement, stores directional memory with exponential decay, and displays adaptive retest rails after significant impulse bars. It is built to answer a simple question: is the most recent meaningful impulse still fresh enough to matter? The script blends MAD-style distance, ATR, trend basis, and decay memory. This creates a visual layer that distinguishes fresh impulse, fading impulse, and reset conditions while keeping the chart clean. Core Concepts 1. MAD and ATR Normalized Displacement The script estimates a robust distance unit using median absolute deviation and ATR. The impulse score is the one-bar displacement divided by this unit. medianSource = ta.median(sourceInput, madLengthInput) madDistance = ta.median(math.abs(sourceInput - medianSource), madLengthInput) unitDistance = math.max(atrValue * 0.35, madDistance * 1.4826) impulseRaw = safeRatio(sourceInput - sourceInput , unitDistance) 2. Trend Basis and Fast Track A slower EMA defines the trend basis while a faster EMA tracks near-term movement. The distance between them contributes to the heat score. 3. Freshness Decay When a bullish or bearish impulse appears, the script measures bars since that impulse and applies exponential decay. Fresh impulses have more weight; older impulses fade naturally. bullBars = ta.barssince(bullImpulse) bearBars = ta.barssince(bearImpulse) bullFresh = na(bullBars) ? 0.0 : math.exp(-bullBars / decayLengthInput) bearFresh = na(bearBars) ? 0.0 : math.exp(-bearBars / decayLengthInput) memorySigned = bullFresh - bearFresh 4. Adaptive Bands The trend band widens when memory strength increases. This helps separate quiet reset states from active impulse regimes. 5. Retest Rails After a fresh impulse, the script stores a rail near the impulse bar. A confirmed retest occurs when price revisits the rail while memory remains directionally active. Features Impulse score: Measures displacement relative to MAD and ATR distance Memory decay model: Tracks whether the last strong impulse is fresh or fading Adaptive trend cloud: EMA basis and fast track are filled by memory state Dynamic bands: Band width expands with volatility and impulse memory Retest rails: Bull and bear rails remain visible for a configurable window Rail labels: Active bull and bear rails are labeled at the right edge with spacing protection when both rails are close Confirmed buy/sell labels: Compact BUY and SELL labels mark fresh impulse continuation or rail retest continuation on confirmed bars Heat candles: Optional candle coloring by impulse and memory strength Dashboard: Top-right panel shows impulse, memory, state, and rail status Alerts: Fresh impulse, rail retest, confirmed buy, and confirmed sell conditions Input Parameters Source: Price source used for calculations Trend Length: Slow EMA basis length Fast Track Length: Faster EMA used inside the cloud MAD Length: Median distance length ATR Length: ATR distance length Band Multiplier: Scales adaptive bands Impulse Threshold: Minimum normalized displacement for a fresh impulse Memory Half Window: Controls decay speed Rail Visibility: Bars a rail remains eligible for retests Heat Candles: Enables candle coloring Dashboard: Shows or hides the top-right dashboard Rail Labels: Shows active bull and bear rail labels Buy/Sell Signals: Shows confirmed continuation signal labels Palette: Selects the local JOAT color preset Dashboard: Shows the panel Palette: Selects color pair How to Use This Indicator Step 1: Read the Memory State The dashboard state shows whether the script is tracking bull memory, bear memory, or resetting. Step 2: Watch Fresh Impulse Events Fresh impulse alerts show that displacement exceeded the configured threshold in the direction of the trend basis. Step 3: Use Retest Rails Rails act as reference levels after impulse. A retest is most meaningful when the dashboard memory state still agrees with the rail direction. Indicator Limitations Impulse detection is sensitive to the selected source and threshold Very low volatility can make normalized movement appear larger A rail retest is contextual and does not define risk by itself The memory model fades old impulses; it does not predict the next impulse Originality Statement Impulse Memory Engine is original in its use of robust distance normalization, exponential impulse decay, adaptive bands, and retest rails in one compact overlay. It is built with original Pine v6 logic and public mathematical functions. Disclaimer This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Impulse readings can fail during choppy markets or sudden volatility shifts. Always use independent analysis and proper risk management. -Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Meridian Flow [WillyAlgoTrader]🧭 Meridian Flow is an overlay Smart-Money toolkit that reads market structure the way an institutional trader does — detecting confirmed swing points, classifying every break as a BOS (trend continuation) or a CHoCH (trend reversal), drawing the order block each break leaves behind, and then turning that signal into a complete trade plan with ATR-based stop-loss, three take-profits, automatic break-even, and a live performance dashboard — all on one chart, with zero manual drawing. The core idea: most "SMC" tools just paint boxes and labels and leave you to figure out the rest. Meridian Flow closes the loop. It does not stop at "here is a break" — it answers where to enter, where the stop goes, where the targets are, when to move to break-even, and how the setup has performed . Structure detection, order-block tracking, a higher-timeframe bias filter, a full risk engine, a structure-anchored trend line, and a sectioned dashboard are wired into a single pipeline so each part feeds the next. It works on any market and any timeframe — forex, crypto, stocks, indices, futures — because every component is built from price action and ATR, not from instrument-specific assumptions. 🧩 WHY THESE COMPONENTS WORK TOGETHER A raw BOS/CHoCH labeler tells you structure broke, but not whether to trust the break, where the institutional zone is, or how to manage risk once you're in. An order-block tool draws zones but has no concept of trade management. A risk calculator needs an entry it can't generate on its own. Used separately, you're constantly stitching three or four tools together by hand. Meridian Flow fuses them into one chain: Confirmed swing detection → HH/HL/LH/LL classification → BOS / CHoCH break engine → HTF bias filter → Order-block creation + mitigation tracking → ATR risk model (SL / TP1-3 / break-even) → Structure-anchored ATR trend line → Live stats & form dashboard → Alerts The swing engine finds confirmed pivots. Classification tells you whether each new swing extends or contradicts the prior one. The break engine reads the running structure state to decide BOS vs CHoCH — the same state then sets the direction of the trailing trend line, so the line and the labels never disagree. Each qualifying break spawns the order block that produced the move and tracks it until price mitigates it. The HTF filter vetoes breaks that fight the higher timeframe. The risk engine takes the surviving signal and immediately builds entry, stop, and three targets sized in ATR and R-multiples. The dashboard records the outcome and feeds it back to you as a win rate and a recent-form strip. Without structure classification you can't separate continuations from reversals. Without the running-state logic, BOS and CHoCH blur together. Without order blocks you lose the institutional zone. Without the HTF filter you take every counter-trend poke. Without the risk model a signal is just an arrow. The combination is what turns "structure broke" into a managed, reviewable trade. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Confirmed swing engine with automatic HH / HL / LH / LL labeling. Swings are found with symmetric pivots — equal left/right lookback (default Swing Length 13 ) — so a pivot is only confirmed once enough bars have closed on both sides. Each new high is labeled: — isHH = (no previous high) OR (pivotHigh >= previousHigh) — otherwise it is an LH Each new low is labeled: — isLL = (no previous low) OR (pivotLow <= previousLow) — otherwise it is an HL This gives you an objective, repeatable map of structure instead of subjective lines. 2️⃣ BOS vs CHoCH disambiguation via a running structure-state machine. The indicator keeps an internal trend state (structTrend = +1 bull, −1 bear, 0 neutral). When a swing high breaks, it reads that state: — bull break while structTrend >= 0 → BOS ▲ (continuation) — bull break while structTrend < 0 → CHoCH ▲ (reversal up) The mirror logic applies to bear breaks. This is why the same break can be a BOS in one context and a CHoCH in another — the label reflects the trend you were already in, not just the candle that broke. 3️⃣ Conflict suppression + warmup guard. If a bull break and a bear break would register on the very same bar, the bar is flagged a conflict and both are suppressed — no contradictory signals. On top of that, no signal fires until the chart has warmed up: — WARMUP_BARS = max(Swing Length × 2, 50) Early-history noise, where pivots aren't yet reliable, is filtered out before a single arrow prints. 4️⃣ Order blocks tied to the break, with displacement detection and an arm→mitigate lifecycle. When a break creates an OB, the engine scans back up to OB Lookback (default 30) bars for the last opposite candle (for a bullish OB: the last down candle, close < open) and prefers one that was followed by a displacement move out of its range. If no displacement is found, it falls back to the nearest opposite candle. Every box then runs a lifecycle: — Armed : price first closes beyond the zone (confirming the OB worked) — Mitigated : price later returns into the zone (by wick or close, your choice), committed on bar close Mitigated blocks fade to grey and freeze, or can be removed entirely. The box cap ( Max Order Blocks, default 8 ) always drops mitigated zones first, so live zones stay on the chart longest. 5️⃣ Non-repainting higher-timeframe bias filter. An EMA (default 50 ) is computed on a higher timeframe (default 60-minute ) and read with a one-bar offset on confirmed values: — Bullish bias when close >= HTF EMA — Bearish bias when close <= HTF EMA When the filter is on, longs are only allowed in a bullish HTF regime and shorts only in a bearish one. Because the HTF value is taken from the already-closed higher-timeframe bar, it does not repaint. 6️⃣ Preset-driven ATR risk model — entry, stop, and three targets in one shot. Stop distance is volatility-scaled, and targets are placed as multiples of that risk (R): — slDistance = ATR(SL length, default 13) × SL multiplier — SL = entry ∓ slDistance — TP1/TP2/TP3 = entry ± slDistance × (TP1/TP2/TP3 multiplier) One click selects a full profile (SL ×ATR / TP1 / TP2 / TP3 in R): — Conservative : 2.5 / 1R / 2R / 4R — Balanced : 1.5 / 1R / 2R / 3R — Aggressive : 1.0 / 1.5R / 2.5R / 4R — Scalping : 0.8 / 0.8R / 1.5R / 2R — Custom : set every multiplier by hand Only one position at a time is tracked — no pyramiding, no overlapping clutter. 7️⃣ Break-even-after-TP1 with WIN-on-TP1 accounting. When TP1 is first touched and break-even is enabled, the stop is moved to the entry price. From the next bar, any wick back to entry closes the trade at break-even — locking out the give-back loss. Crucially, a trade counts as a WIN the moment TP1 is touched , even if it later comes back to the break-even stop. This keeps the win-rate honest about partial profit-taking. 8️⃣ Structure-anchored ATR trend line (SuperTrend-style, but it flips on CHoCH). A smoothed ATR band trails price, but its direction is not decided by its own crossover logic — it is slaved to the structure state: — band = hl2 ∓ (ATR Trend Multiplier, default 5) × EMA(ATR(length 10), smoothing 5) — Bull regime: line trails as max(previous line, lower band) — Bear regime: line trails as min(previous line, upper band) — The line flips only when structure flips (a CHoCH), marked with a circle So your trailing line and your BOS/CHoCH labels always tell the same story. 9️⃣ Session stats engine — win rate gauge + recent-form strip. The dashboard tallies closed trades, wins, losses, and win rate, rendered with a Unicode block gauge (▰▱). A separate Form strip shows the last 10 outcomes (▰ = win, ▱ = loss, newest on the right), so you can see whether the current settings are in or out of sync with the market at a glance. 🧠 HOW IT WORKS — bar by bar Step 1 — Detect swings: symmetric pivots confirm a swing high or low and label it HH/HL/LH/LL. Step 2 — Watch for a break: price closing (or wicking, your choice) beyond the last swing flags a raw break; same-bar conflicts are suppressed. Step 3 — Classify the break: the running structure state turns the raw break into a BOS or a CHoCH and flips the trend state. Step 4 — Filter by bias: if the HTF filter is on, the break must agree with the higher-timeframe EMA regime to qualify. Step 5 — Spawn the order block: the engine finds the originating candle (preferring displacement) and draws the OB zone. Step 6 — Open the trade: while flat, a qualifying break sets entry, ATR stop, and TP1/TP2/TP3 from the active preset. Step 7 — Manage it: each bar checks for TP touches and stop hits; TP1 triggers break-even; SL or TP3 closes the trade and books the result. Step 8 — Track zones: every open OB arms and then mitigates as price interacts with it. Step 9 — Report: the dashboard updates trend, signal, levels, R:R, win rate, and recent form; alerts fire on close. 📖 HOW TO USE (beginner-friendly) 🎯 Quick start — get running in 5 steps: 1. Add Meridian Flow to any chart, any timeframe. Defaults already work. 2. Look at the dashboard (top-right). The colored header tells you the current trend: green = bullish, red = bearish, blue = neutral. 3. Wait for a Long ▲ or Short ▼ marker to print under/over a candle. That is a new trade signal. 4. Read the colored lines that appear: the dotted line is your entry, the solid red line is your stop-loss, the three dashed lines are TP1, TP2, TP3. 5. Use those exact levels in your broker. The dashboard shows the same numbers in text so you can copy them. That is the whole loop: signal prints → take the levels → manage to the targets. Everything else below just helps you read and fine-tune it. 👁️ Reading the chart (what every element means): — 🟢 Long ▲ / 🔴 Short ▼ markers = a trade just opened in that direction. — BOS ▲/▼ = trend is continuing in the same direction. — CHoCH ▲/▼ = trend may be reversing — the first sign of a turn. — HH / HL = higher high / higher low (healthy uptrend). LL / LH = lower low / lower high (healthy downtrend). — Colored boxes = order blocks (institutional zones). Bright = still active; faded grey = already mitigated (price came back to it). — Dotted line = entry · solid red = stop-loss · dashed lines = TP1/TP2/TP3. A target turns solid teal with a ✓ once price reaches it. — Trailing ATR line = quick visual trend; it flips (with a small circle) when structure reverses. 📊 Dashboard fields: — Trend : current structure direction (Bullish / Bearish / Neutral). — Signal : LONG, SHORT, or Wait (a new trade only opens when you're flat). — Last event : the most recent BOS or CHoCH. — Timeframe : the chart timeframe. — SL / TP1 / TP2 / TP3 : live levels of the open trade (✓ marks targets already hit; "BE @" means the stop moved to break-even). — R:R (TP1) : reward-to-risk to the first target. — SL Dist % : how far the stop sits from entry as a percentage. — Trades / W-L / Win rate : this-session performance with a gauge. — Form : last 10 results, ▰ win · ▱ loss, newest on the right. 🔧 Tuning guide (fix common issues): — Too many small/noisy signals: raise Swing Length (try 20-30) and set Break Confirmation to "Close". — Signals feel late: lower Swing Length (5-10) and/or switch Break Confirmation to "Wick". — Too many counter-trend trades: turn on the HTF Trend Filter. — Stops too tight / too wide: change the Risk Preset, or use Custom and adjust SL ×ATR. — Chart too busy: turn off OB labels and the mean line, reduce Max Order Blocks, or enable "Remove OB After Mitigation". 💡 Trading ideas: — Reversal hunting: set Signal Mode to "CHoCH only" to trade structure turns; pair with an order-block retest for confirmation. — Trend riding: set Signal Mode to "BOS only" with the HTF filter on to stack with the higher-timeframe direction. — Zone entries: wait for a fresh OB, then enter on the mitigation tap back into the zone rather than chasing the break. — Scalping: use the Scalping preset on low timeframes for tight stops and quick 1:1 to 1:2 targets. — Risk-free runners: keep Break-Even After TP1 on so winners can't turn into losers. ⚙️ KEY SETTINGS REFERENCE 🏗️ Structure: — Swing Length (default 13): pivot lookback. Lower = more, smaller swings; higher = cleaner. — Break Confirmation (default Close): Close = fewer fakeouts; Wick = earlier, riskier. — Signal Mode (default BOS + CHoCH): which events fire trades — CHoCH only / BOS only / both. — Show HH/HL/LH/LL (default on) · Show BOS / CHoCH (default on). 📦 Order Blocks: — Show Order Blocks (default on) · Create OB On (default BOS + CHoCH). — Mitigation Trigger (default Wick): Wick = earlier; Close = stricter. — Remove OB After Mitigation (default off) · OB Lookback (default 30) · Max Order Blocks (default 8). — OB Box Transparency (default 85) · Show 50% Mean Line (default off) · Show OB Labels (default off). 🔍 Filters: — HTF Trend Filter (default off) · HTF Timeframe (default 60) · HTF EMA Length (default 50). 🛡️ Risk Management: — Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom. — ATR Length (SL) (default 13) · SL ×ATR / TP1 / TP2 / TP3 multipliers (Custom mode). — Show SL/TP Lines (default on) · Show SL/TP Labels (default on) · Show % Distance (default on). — Break-Even After TP1 (default on) · Entry / SL / TP Line Style . 🎨 Visual: — Theme (default Auto) · Show Buy/Sell Signals (default on) · Label Font Size (default Small). — Show ATR Trend Line (default on) · ATR Trend Length (default 10) · Multiplier (default 5.0) · Smoothing (default 5). — Show Watermark (default on). 📊 Dashboard: — Show Dashboard (default on) · Position (default Top Right) · toggles for Market / Trade / Stats sections. 🔔 Alerts: — Webhook JSON Format (default off) · Alert on SL Hit (default on) · Alert on TP / Break-Even (default off) · Alert on OB Mitigation (default off). 🔔 ALERTS — 🟢 LONG / 🔴 SHORT — entry with ticker, timeframe, price, SL, TP1/TP2/TP3 and R:R. — 🛑 SL HIT / 🛡️ BE STOP-OUT — stop or break-even stop-out, with entry and stop price. — 🛡️ BREAK-EVEN — stop moved to entry after TP1. — 🎯 TP1 / TP2 / TP3 HIT — each target as it is touched. — 📦 OB MITIGATION — price returns into a bull or bear order block. All alerts support plain text and JSON webhook output, and fire on bar close (once per bar close). ⚠️ IMPORTANT NOTES — 🚫 No repainting. Swings use symmetric (equal left/right) pivots, so a pivot is confirmed only after the lookback bars close — the actual swing sits in the past by the Swing Length; the indicator draws forward from that confirmed bar. Breaks, hits, and OB mitigation all commit on bar close (barstate.isconfirmed), the HTF bias reads the already-closed higher-timeframe bar, and alerts fire once per bar close. This is delayed confirmation, not repainting of future values. — 📐 Confirmation delay is inherent: signals appear after the bar that triggers them closes. This is the cost of avoiding fakeouts. — ⚖️ Stats are session-based: win rate and the form strip reset when the script reloads or any input changes. They reflect the visible history with current settings, not a guaranteed forward result. — 📊 "SL Dist %" is the stop distance as a percentage of entry — it is not a position-sizing or account-risk figure. Size your positions with your own risk rules. — 🛠️ This is a market-structure analysis and trade-planning tool, not an automated trading bot. It detects structure, draws zones, builds stop/target levels, and tracks outcomes — trade decisions remain yours. — 🌐 Works on all markets and all timeframes. Past performance does not guarantee future results. — 🆓 Meridian Flow is free to use. Feedback and suggestions are welcome in the comments.
Pine Script®指标
由WillyAlgoTrader提供
22
Delta Barometer [JOAT]Delta Barometer Introduction Delta Barometer is an open-source dual-engine institutional pressure indicator that generates directional signals from two independent momentum measurement systems — an ATR trailing stop with Trend Strength Score, and a cumulative delta volume crossover with Pressure Score — and allows the user to configure how the two engines interact via four hybrid modes. The core insight is that trend-following signals and momentum signals often disagree during transition periods and agree during high-probability setups. By building both engines independently, assigning each a score that reflects the quality of its reading, and providing modes that require either one engine, either engine, or both engines simultaneously, the indicator lets traders choose the selectivity level appropriate to their strategy. Requiring confluence produces fewer but higher-quality signals; allowing either engine to fire produces more signals with less selectivity. Core Concepts 1. Engine A: ATR Trailing Stop with Trend Strength Score A regime-adaptive ATR trailing stop is computed with different multipliers for low, medium, and high volatility environments. The ATR ratio determines the regime. The trail ratchets in one direction only and produces a signal on flip. A Trend Strength Score (TSS) between 0 and 100 qualifies each trail flip: RSI slope magnitude contributes 40%, volume rate relative to its average contributes 35%, and ATR expansion relative to a shorter ATR period contributes 25%. float tssScore = (rsiSlopeComp * 0.40 + volRatioComp * 0.35 + atrExpandComp * 0.25) * 100 2. Engine B: Cumulative Delta Volume with Pressure Score Signed volume (positive when close is above open, negative otherwise) is accumulated into a running cumulative delta. A moving average of the cumulative delta is computed. A crossover of delta above its moving average is a potential bullish signal; a crossunder is bearish. A Pressure Score between 0 and 100 qualifies each delta crossover: the magnitude of the delta ratio contributes 40%, volume rate relative to average contributes 35%, and candle body size relative to candle range contributes 25%. 3. Four Hybrid Modes Both Engines: A signal requires both Engine A and Engine B to produce a raw signal simultaneously. Highest selectivity. Priority A: Engine A signals take precedence; Engine B fills gaps where A is not firing. Priority B: Engine B signals take precedence; Engine A fills gaps where B is not firing. Either Engine: A signal fires when either engine produces a raw signal. Highest frequency. 4. Regime Arming Each engine can be restricted to fire only in compatible volatility regimes — preventing the trailing engine from generating whipsaw signals during volatility compression. 5. Five-State Pressure Candle Coloring Bar colors reflect the combined pressure state across both engines on a five-level scale: strong bull, moderate bull, neutral, moderate bear, strong bear. Features Engine A — ATR trail with TSS: Regime-adaptive trailing stop with Trend Strength Score qualifying each flip signal Engine B — Delta volume with Pressure Score: Cumulative signed volume crossover with composite Pressure Score qualification Four hybrid modes: Both Engines, Priority A, Priority B, Either Engine — configurable selectivity Regime arming: Each engine independently armed for specific volatility regimes Five-state pressure candle coloring: Strong bull / moderate bull / neutral / moderate bear / strong bear reflected in bar colors Gradient trail fill: Gradient between trailing stop and close; color inverts with trail direction Trade block on signal: Entry, stop (correctly positioned above entry for shorts, below for longs), and TP level rendered as colored boxes on confirmed signals. Stop line is bold dashed red with high-contrast label background. Entry always sits visually between the stop and take-profit zones 9-column horizontal dashboard: Mode, regime, TSS, pressure score, trail direction, delta, engine ID, signal state, status — shown in a horizontal table layout at chart bottom Non-repainting: All signals confirmed on barstate.isconfirmed Four color themes: Phantom, Neon, Classic, Solar Backtest tracker: Win rate and expected value tracked per engine type Input Parameters Engine A — ATR Trail: ATR Length, Low/Med/High Regime Multipliers Regime ATR Lookback, Low/High Vol Thresholds TSS Lookback and Min TSS Score to fire Engine B — Delta Volume: Delta MA Length, Min Pressure Score RSI Overbought/Oversold gates Hybrid Mode: Hybrid Mode: Both Engines / Priority A / Priority B / Either Engine Engine A and B arming: All / Low Only / Med + High / High Only Signal: Cooldown Bars, TP ATR Multiple, SL % from Entry How to Use This Indicator Step 1: Select the Hybrid Mode Start with Either Engine for maximum signal frequency. Switch to Both Engines when you want only the highest-conviction setups. Priority modes are useful when you trust one engine more than the other for a particular asset. Step 2: Read the 9-Column Dashboard The horizontal dashboard shows the current state of both engines simultaneously. The ENGINE column shows which engine fired (A, B, or A+B for confluence). The TSS and PRESSURE columns show the raw quality scores of each engine. Step 3: Verify Trade Block Direction For LONG signals: the red risk box appears below entry (stop is below) and the green reward box appears above entry (TP is above). For SHORT signals: the red risk box appears above entry (stop is above) and the green reward box appears below entry (TP is below). Entry is always the dividing line between the two zones. Step 4: Use Regime Arming for Market Fit If the asset tends to trend strongly, arm Engine A for all regimes. If it is more volatile-momentum driven, arm Engine B for all regimes. Use Med + High arming for Engine A to avoid choppy low-volatility whipsaws. Indicator Limitations The TSS score components all lag price by varying amounts. Signals in fast-moving markets may arrive after the optimal entry point Cumulative delta volume as used here is a proxy. It approximates institutional bias without access to true bid-ask tick data Both Engines mode will produce very few signals on most assets. Adjust to Priority or Either modes if signal frequency is too low Regime classification uses ATR ratio, which is a lagging measure. A volatility spike that changes the regime will affect engine arming only after ATR responds Originality Statement The dual-engine architecture with four configurable interaction modes — each engine carrying its own qualification score — and per-engine regime arming is an original design not replicated in existing open-source Pine Script v6 publications The Trend Strength Score weighting RSI slope, volume rate, and ATR expansion as qualification for ATR trail flip signals, combined with a separate Pressure Score for delta crossovers, provides independent signal quality assessment that single-engine indicators do not offer Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past signal statistics do not predict future performance. The author accepts no responsibility for trading losses resulting from use of this indicator. Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
2
Cascade Liquidity Zones [JOAT]Cascade Liquidity Zones Introduction Cascade Liquidity Zones is an open-source institutional stop-hunt and liquidity zone detector built around the mechanics of how large participants move price through retail stop clusters before reversing. It identifies demand and supply zones from pivot-impulse structures, scores them by quality, confirms sweep events with multiple filters, and marks potential failure entry patterns — all within a single indicator that requires no additional tools to interpret. The foundational premise is that price routinely sweeps beyond visible structural levels to trigger stop orders placed by retail participants, before institutional participants absorb the liquidity generated and reverse price. Identifying these events in advance, tracking the zones where they are likely to occur, and confirming them with volume and wick rejection filters produces a framework for anticipating institutional reactions at structural extremes. Core Concepts 1. Pivot-Impulse Zone Creation Demand zones are formed from confirmed pivot lows and supply zones from confirmed pivot highs. Each pivot creates a zone spanning a configurable ATR multiple, representing the area of institutional activity around that structural level. Zones are scored using a three-component Impulse Quality Score: f_score(idx) => bodyR = math.abs(close -open ) / math.max(high -low , syminfo.mintick) volR = volume / ta.sma(volume, 20) atrR = (high -low ) / ta.atr(14) (bodyR*40.0) + (math.min(volR,4.0)/4.0*35.0) + (math.min(atrR,3.0)/3.0*25.0) This scores the impulse candle by three factors: directional body conviction (40%), volume participation relative to average (35%), and range size relative to ATR (25%). 2. Four-Layer Glow Zone Visualization Each zone is drawn as four concentric boxes expanding outward from the core zone level, with decreasing opacity on each outer layer. This creates a visual glow effect that communicates zone location and zone type at a glance. Demand zones use the bull theme color; supply zones use the bear theme color. 3. Sweep Confirmation Engine A demand zone sweep is confirmed when all of the following conditions pass simultaneously on a confirmed bar: minimum wick penetration percentage, close back inside or above the zone, volume exceeds average by a configurable multiple, wick rejection percentage exceeds minimum threshold, cooldown period elapsed, and optional pattern filters pass. 4. Failure Entry Engine An alternative entry mode detects price failure patterns at pivot levels. A bullish failure occurs when price wicks below the most recent confirmed pivot low and closes back above it on the same bar, with the wick exceeding a minimum ATR size and a minimum rejection percentage. This targets trapped short-sellers at pivot extremes. 5. Zone Flip Mechanics When price closes fully through a demand zone, that zone flips to a supply zone — its color changes from bull to bear theme color and it becomes eligible for short-side sweeps. This reflects the structural concept that broken support becomes resistance. 6. Liquidity Value and Hold Percentage Each zone tracks cumulative volume × price product from its origin bar, displayed as a liquidity value label ($K, $M, $B). Zones also track how many times price has touched and rejected from them without breaking through, expressed as a hold percentage. Features Pivot-impulse zone creation: Demand and supply zones built from confirmed structural pivot points, scored by impulse quality Three-component impulse quality score: Body conviction, volume participation, and ATR-relative range scored at zone creation Four-layer glow boxes: Each zone drawn as four concentric boxes with decreasing opacity for a depth visualization effect Multi-filter sweep confirmation: Wick penetration %, close direction, volume multiple, wick rejection %, cooldown, and optional pattern filters Failure entry engine: Detects pivot-wick failure patterns as an alternative signal type with independent settings Zone flip: Broken demand zones automatically flip to supply and vice versa Liquidity value labels: Volume × price accumulated at each zone's origin bar, displayed in human-readable scale Hold percentage: Ratio of zone tests that did not break through; used to prioritize zone strength Trade block on sweep: Entry, stop, and two TP levels rendered as boxes and lines when a sweep confirms Zone clustering: Overlapping zones within a minimum ATR separation are deduplicated, keeping the higher-quality zone Backtest tracker: Win rate and expected value tracked across all sweep signals Non-repainting: All sweep confirmations gated by barstate.isconfirmed Institutional dashboard: 18-row table with zone statistics, sweep and failure counts, win rate, and expected value Input Parameters Zone Detection: Pivot Lookback: Bars required on each side to confirm a pivot (default: 10) Max Active Zones Per Side: Maximum simultaneous demand or supply zones (default: 8) Zone ATR Width: Zone height as ATR multiple (default: 0.4) Min Zone Separation: Minimum distance between zones in ATR units (default: 1.5) Sweep Confirmation: Min Wick Penetration %: Minimum wick extension through zone boundary Volume Confirmation toggle and minimum volume multiple Wick Rejection Filter toggle and minimum rejection % Cooldown Bars Between Sweeps Failure Entry: Enable Failure Entry Mode toggle Pivot lookback, wick ATR minimum, wick rejection minimum, volume confirmation, cooldown Trade Block: Show Trade Block toggle RR Ratio for TP placement SL Mode: Zone boundary or Wick extreme SL Buffer in ATR units How to Use This Indicator Step 1: Identify Active Zones Fresh zones (not yet swept) are displayed in full color. Prioritize fresh zones with high hold percentages and large liquidity values for upcoming sweep setups. Step 2: Wait for Sweep Confirmation A sweep is confirmed when the bar closes after the wick penetration. The trade block appears automatically with entry at the close of the confirmation bar, stop behind the zone boundary plus buffer, TP1 at 1:1 R, and TP2 at the configured RR ratio. Step 3: Distinguish Sweeps from Failures Standard sweeps require price to touch inside the zone boundary. Failure entries detect pivot-level failures at a higher structural level. Enable only one mode at a time to avoid conflicting signals. Indicator Limitations Pivot confirmation requires bars after the pivot candle. Zones are plotted with an inherent offset corresponding to the lookback length All sweep confirmations require a bar close. Price that sweeps and reverses within the same bar without confirming on close will not generate a signal Volume-based filters are less reliable on assets where volume data is unreported or synthetic Zone flip mechanics assume that a broken level becomes resistance. This structural assumption does not hold in all market conditions Originality Statement The combination of a three-component impulse quality score at zone creation, four-layer glow box visualization, multi-condition sweep confirmation, zone flip mechanics, and a failure entry engine in a single indicator is not replicated in existing open-source Pine Script v6 publications The liquidity value metric (volume × price at pivot origin) as a zone ranking input alongside hold percentage provides an institutional sizing dimension that simple pivot-based zone indicators do not include The dual-mode architecture (sweep engine + failure entry engine) with independent settings for each, selectable via a single mode toggle, allows the same structural framework to address two different entry philosophies within one indicator Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Liquidity sweep patterns identified by this indicator represent historical structural events, not predictions of future price behavior. The author accepts no responsibility for trading losses resulting from use of this indicator. Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
1
Prismatic Depth [JOAT]Introduction Prismatic Depth is an open-source multi-pillar institutional signal filter that scores bullish and bearish market pressure across nine independent analytical dimensions simultaneously. Rather than generating a signal from any single indicator, Prismatic Depth requires a weighted composite score above a configurable threshold, a minimum directional lead between bull and bear scores, and alignment of up to five optional confirmation gates — all at the same time. The problem this solves is signal noise. Most indicators produce signals from a single input: a moving average crossover, an RSI threshold, a volume spike. Each of these fires constantly in all market conditions, including conditions where it has no historical edge. Prismatic Depth measures nine separate market properties and only produces a signal when a statistically unusual number of them agree simultaneously. The result is a lower-frequency, higher-context signal that reflects a broader institutional consensus rather than a single technical event. Core Concepts 1. The Nine-Pillar Scoring Architecture Each pillar measures a distinct market property independently. Pillar weights are user-configurable and sum to produce a maximum possible score of 100. The nine pillars are: Structure: Detects higher-high / higher-low and lower-high / lower-low sequences using confirmed pivot highs and lows. A bullish structural sequence adds the Structure weight to the bull score. Volume: Measures the slope of On-Balance Volume using linear regression over 20 bars. A rising OBV slope contributes to the bull score; falling contributes to bear. Momentum: Blends three momentum inputs — Kaufman Adaptive Moving Average position, RSI relative to 50, and Williams Percent Range relative to midpoint. Each sub-component is weighted equally at one-third. Liquidity: Detects swing-low sweeps — bars where price wicks below the last confirmed swing low and closes back above it. These represent stop-hunt events followed by institutional absorption. Volatility: Evaluates whether the ATR-to-SMA(ATR) ratio falls within a productive range (0.8 to 1.6). Markets outside this range are either too compressed for trend signals or too expanded for reliable entries. Session: Measures the current bar's position relative to the daily session midpoint. Bars in the lower half of the daily range carry a bullish session score; bars in the upper half carry a bearish score. Higher Timeframe: Compares current close to a 50-period EMA on a user-selected higher timeframe via request.security() with lookahead disabled. Delta Pressure: Tracks cumulative signed volume and detects when its moving average crossing direction aligns with price movement. A Pressure Score blending the volume delta ratio, volume rate, and bar body ratio is computed. Fractal Efficiency: Computes the Fractal Efficiency Ratio — the ratio of the net directional price move to the total path length of individual bar changes. An FER above 0.60 in conjunction with ADX above 20 passes the efficiency gate. // Fractal Efficiency Ratio float ferNet = math.abs(close - close ) float ferPath = math.sum(math.abs(ta.change(close)), ferLen) float ferVal = ferPath > 0.0 ? ferNet / ferPath : 0.0 2. Weighted Score Gating The final bull and bear scores are compared against a minimum threshold (default: 70 of 100) and a minimum directional lead (default: bull must exceed bear by at least 20 points). Both conditions must hold simultaneously before a signal is considered. bool longSignal = bull >= threshold and (bull - bear) >= scoreGap and inSession and noiseGate and vwmaGate and stGate and ribbonGate 3. Optional Confirmation Gates Five binary gates can be independently enabled or disabled: VWMA(200) price relationship, Supertrend direction, 8-line HMA ribbon direction, ADX minimum threshold (noise filter), and session time filter. Each gate is AND-logic — all enabled gates must pass before a signal fires. 4. Kaufman Adaptive Moving Average The momentum pillar uses KAMA rather than a standard moving average. KAMA adjusts its smoothing constant based on the Efficiency Ratio of recent price movement, reacting quickly during trending phases and becoming nearly flat during choppy periods. 5. 8-Line HMA Gradient Ribbon Visual context is provided by an 8-line Hull Moving Average ribbon (using every other increment for performance while retaining the full gradient effect). A normalization factor (ribbon spread divided by its 200-bar EMA, clamped to -1 to +1) drives a color gradient from the bear theme color to the bull theme color. The gradient reflects conviction intensity, not just direction. 6. Trade Block Visualization When a signal fires, entry, stop, and up to four take-profit levels are plotted as horizontal lines and labeled at the right edge of the chart. Risk and reward zones are shown as translucent boxes. All drawn objects are updated every bar to extend rightward until closed. Features Nine-pillar weighted confluence scoring: Structure, Volume, Momentum, Liquidity, Volatility, Session, HTF Trend, Delta Pressure, and Fractal Efficiency each scored independently and summed Configurable pillar weights: Each pillar's contribution to the total score is independently adjustable Five optional binary gates: VWMA, Supertrend, HMA Ribbon, ADX noise filter, and session filter independently toggled Threshold and directional lead gating: Score must exceed minimum AND directional lead must exceed gap before any signal fires Extreme signal tier: Separate threshold for extreme confluence readings with distinct visual treatment 8-line HMA gradient ribbon: rFactor-normalized color gradient reflecting momentum spread intensity vs. its 200-bar historical average, with gradient fills between all adjacent ribbon lines Gradient glow bar coloring: Glow color mode uses barcolor() to highlight signal bars in the bull or bear theme color; when disabled, falls back to RSI-intensity gradient bar coloring Regime background tint: Subtle chart background tint on regime transitions, clearing after 10 bars Four TP levels with live boxes and lines: TP1–TP4 plotted as gradient green lines and translucent boxes extending right in real time Four stop modes: Supertrend, ATR cap, fixed percentage, pivot-based Built-in backtest tracker: Win rate, expected value in R, and trade count Four color themes: Phantom (cyan/magenta), Neon (teal/pink), Classic (green/red), Solar (orange/blue) Institutional dashboard: 14-row table showing all nine pillar scores, signal state, and performance metrics Non-repainting: All signals gated by barstate.isconfirmed; HTF request.security() uses lookahead=barmerge.lookahead_off Input Parameters Scoring Engine: Min Score to Signal: Minimum composite score required (default: 70) Extreme Score: Score for extreme tier (default: 90) Min Directional Lead: Bull-bear gap required (default: 20) Pillar Weights: Individual weight sliders for each of the nine pillars (defaults sum toward 100) Trend Gates: VWMA Gate toggle and length (default: 200) Supertrend Gate toggle, ATR length, multiplier Ribbon Gate toggle, base length, step ADX Noise Gate toggle and minimum ADX value Signal Control: Cooldown bars between signals (default: 5) Session filter toggle and session string Trade Levels: Show Trade Block toggle Stop mode: Supertrend / ATR Cap / Fixed % / Pivot RR multiples for TP1, TP2, TP3, TP4 (defaults: 0.5, 1.0, 1.5, 2.0) How to Use This Indicator Step 1: Select a Theme and Configure Gate Sensitivity Choose a color theme that suits your chart. Start with all five gates enabled and default weights. Observe signal frequency across several recent weeks of history. Step 2: Interpret the Dashboard Score Rows Each pillar row in the dashboard shows its current directional score in the stronger direction. A row colored in the bull theme means that pillar is contributing to bullish confluence. The Signal row shows the final output. Step 3: Use Signals as Context, Not Directives A signal fires when an unusual number of market dimensions agree. It does not predict how far price will move or guarantee a profitable outcome. Step 4: Set Stop Mode Before Live Use The Supertrend stop mode trails the stop with the Supertrend level. ATR Cap limits maximum stop distance. Fixed % uses a fixed percentage of price. Pivot uses the last confirmed structural pivot. Step 5: Review Backtest Statistics Skeptically The win rate and expected value displayed are calculated from signal history on the current chart only. They reflect past performance on historical data. Optimizing weights to maximize these numbers on a single chart produces overfitted results that will not generalize. Indicator Limitations Pivot-based pillars (Structure, Liquidity) confirm with a lookback offset — the structural event is labeled bars after it occurred. This is non-repainting behavior inherent to pivot detection The Fractal Efficiency gate may delay signals following sharp, fast moves where path length temporarily normalizes High pillar weights placed on a single pillar can effectively reduce this to a single-factor indicator. Weight distribution should be reasonably balanced The session pillar score assumes intraday context. On daily and higher timeframes, it contributes a neutral fixed value The backtest tracker embedded in this indicator does not account for slippage, commission, or partial fills. It is not a substitute for a properly configured strategy backtest Enabling all gates simultaneously will produce very few signals. Tune gate selection to the market and timeframe being analyzed Originality Statement Prismatic Depth is original in its nine-pillar architecture and the specific combination of inputs it assembles. This publication is warranted because: The Fractal Efficiency Ratio as a scoring pillar and gate condition — measuring the directional efficiency of price movement over a lookback, distinct from ADX — is not present in existing open-source Pine Script v6 publications as of this writing Weighted pillar scoring where the user controls the relative contribution of each dimension, combined with both a score threshold and a directional lead gap as dual gatekeeping conditions, produces a more selective output than threshold-only systems The Delta Pressure pillar — computing a composite of volume delta ratio, volume rate versus average, and candle body compression — is an original implementation distinct from standard OBV or CMF approaches The combination of nine independently scored dimensions with five independently toggled binary confirmation gates in a single configurable framework, with a built-in per-signal performance tracker, is not replicated in existing open-source publications Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Confluence readings are based on historical price data and do not guarantee any future market outcome. Past win rate statistics shown by the built-in tracker do not predict future performance. Always apply proper risk management. The author accepts no responsibility for trading losses resulting from the use of this indicator. Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Wedge Polaris [JOAT]Wedge Polaris Wedge Polaris is a multi-pattern auto-detector. It identifies five distinct converging-channel pattern families from zigzag pivots — Ascending Triangle, Descending Triangle, Symmetric Wedge, Rising Wedge, Falling Wedge — and on confirmed breakout projects a three-target ladder (Fibonacci times ATR times historical-duration blend). Pattern statistics, breakout probabilities, target hit / miss tracking, completed-pattern history, and a right-side bias gauge are all surfaced on the chart. What makes it different Most wedge / triangle indicators detect a single pattern type. This script classifies five families using slope analysis of the top and bottom channels. Collinearity tolerance is adaptive. It scales with ATR percentile so the script is strict in low-volatility regimes (clean pivots) and forgiving in high-volatility regimes (noisier pivots) without being retuned. Breakout probability is computed from the standard-normal CDF on the z-scored duration of the current pattern against a rolling history of completed patterns. Class-conditional bull / bear probabilities are blended with net-volume polarity inside the pattern. A strong-break filter requires the breakout candle's body Z-score to exceed three AND its 25th or 75th body percentile to be on the correct side of the boundary. This distinguishes decisive expansion from noise probes. A completed-pattern history strip tracks the last ten patterns with their outcomes (Target 1 hit, Stop hit, expired) so you can see the recent quality of the detector on the current instrument. How it works Zigzag pivots are tracked via standard ta.pivothigh and ta.pivotlow with parallel arrays. Collinearity is tested between the two outer pivots and a middle pivot. Tolerance widens in high-volatility environments. Two collinear lines (one for highs, one for lows) form a channel. Convergence, alignment, and inside-the-channel tests confirm a valid pattern. Slope analysis classifies the pattern family. On breakout confirmation, target lines are projected. T1 equals entry plus or minus 0.5 times width. T2 equals entry plus or minus 1.0 times width. T3 equals entry plus or minus (1.618 times width plus atr-z times ATR). SL is symmetric at width times the user SL multiplier. Each completed pattern's duration and direction is appended to a 200-entry history buffer, which feeds the probability statistics. Reading the chart Pattern channels: two lines plus a linefill between them. Line style differentiates pattern type (solid for triangles, dashed for wedges, dotted for channels). Completed-pattern ghost outlines fade for a user-configurable number of bars after the pattern ends. A pattern stats label at the channel midpoint reads, for example: WEDGE 23 bars P(bull) 64% P(break) 78% ATR x.xx. A three-target ladder on confirmed breakout: entry / SL / T1 / T2 / T3 horizontal lines plus price-only right-edge labels (no arrows, no shout text). Linefills shade the risk and reward zones. Volume confluence: if breakout-bar volume exceeds 1.5 times the 20-bar SMA, target labels append VOL+. A right-side bias gauge: 21-segment vertical band with a pointer. Optional right-side breakout-probability gauge (separate from bias gauge). A completed-pattern history strip above past pattern midpoints. A strong-break flash: bgcolor pulse on the strong-break bar. Signals Pattern formed Bullish / bearish breakout Strong bullish / strong bearish breakout Target 1 / Target 2 / Target 3 hit Stop loss hit All gated on barstate.isconfirmed or barstate.ishistory. No future references. Inputs Zigzag : zigzag length. Collinearity : base tolerance (as a fraction of price). Breakout : SL width multiplier, target line extension bars. Visual : bullish / bearish colors, bias gauge, breakout probability gauge, pattern stats label, target ladder. On-chart : completed-pattern history, ghost outlines extension bars, line-style differentiation. Dashboard : position, size. How traders use this Pattern plus volume : a confirmed breakout with the VOL+ tag and a high P(bull) reading is a higher-probability continuation entry. Mean-reversion fades : when a wedge's third or later touch happens at the convergence apex with low P(break), the pattern often fails to break. Fade trades inside the channel are possible. R-multiple management : once target 1 prints, common practice is to move stops to breakeven and let the remainder run for T2 / T3. The target ladder makes this straightforward. Pattern history : the strip lets you assess whether the detector is performing well on the current instrument and timeframe before sizing up new signals. Limitations Pivot detection inherits the right-bar delay of ta.pivothigh and ta.pivotlow. Patterns are confirmed only after the pivot-right-window passes. Collinearity tolerance is a heuristic. Extremely volatile or extremely clean charts may need tuning of the base tolerance. The class-conditional probability statistics need a minimum sample (five completed patterns) before they are meaningful. Pattern recognition is fundamentally interpretive. Even confirmed patterns fail. Compatibility Pine Script v6 open-source indicator. Imports TradingView/ta/12 for ta.atr2 (series-period ATR used in duration-adaptive target projection). Any symbol, any timeframe. No request.security calls. Defaults 7-bar zigzag, 0.5 percent base collinearity tolerance, mint / red colors, top-right medium dashboard. For very fast charts shorten the zigzag length. For slow charts lengthen it and tighten the collinearity tolerance.
Pine Script®指标
由officialjackofalltrades提供
Regime-Adaptive Trend Engine [AlgoPoint]Regime-Adaptive Trend Engine adapts the SuperTrend ATR multiplier dynamically based on real-time market regime detection. Instead of a fixed multiplier (e.g., 3x ATR), this indicator uses a 4-component weighted regime score — ADX strength, volatility ratio, price efficiency, and trend consistency — to tighten the band in trending markets (earlier entries) and widen it in choppy conditions (fewer false signals). 🔹 HOW IT WORKS 1. REGIME DETECTOR • ADX Strength (30%) — normalized 0–1 from ADX 15–35 range • Volatility Ratio (30%) — short-term vs long-term ATR expansion • Price Efficiency (25%) — directional movement vs total noise • Trend Consistency (15%) — % of bars aligned with current bias 2. ADAPTIVE MULTIPLIER Regime Score 0–1 → ATR Multiplier linearly interpolated: • Trending (score ≥ 0.7): tight 2.0–2.9x • Transition (score 0.4–0.7): balanced 2.9–4.1x • Choppy (score < 0.4): wide 4.1–5.0x 3. SUPERTREND ENGINE Standard SuperTrend logic with dynamic multiplier. Bands clamp to prevent repainting. 🔹 FEATURES • Real-time regime dashboard (score %, multiplier, state label) • Regime background gradient (intensity = confidence) • LONG/SHORT signal labels at trend changes • Alert conditions for entries and regime shifts • 11 customizable input parameters • No repainting — uses only confirmed bar data 🔹 HOW TO USE • Monitor the dashboard: green = trend, yellow = transition, red = chop • In trending regime: trust tighter signals for early entries • In choppy regime: bands widen automatically — wait for confirmation • Combine with volume analysis for higher-probability setups • Use alerts for automated trend change notifications The indicator does not predict direction — it measures market state and adapts sensitivity accordingly. Your decision, your trade.
Pine Script®指标
由Iamalala提供
6
Takhtupuria EMA Sniper Ultimate Pro..3EMA Sniper Ultimate Pro This is a specialized, high-precision EMA Sniper tool designed for traders who rely on clean EMA crossovers and automated visual signal confirmation. It filters out market noise to highlight the most reliable entry and exit points. Key Features: EMA Trend Engine: Utilizes the 21 EMA and 200 EMA to establish the primary market trend, ensuring you always trade in the direction of the institutional flow. Automated Sniper Signals: Features clear, integrated Buy and Sell signals (plotted as shapes) based on EMA crossover logic. This helps in identifying trend reversals instantly. Clean Visuals: Optimized for a clutter-free chart, providing just the essential data needed for high-accuracy decision-making. Customization & Control: Signal Customization: Easily toggle the Buy and Sell signal shapes or change their colors from the Style tab to match your specific chart setup. Precision: Users have full control over the EMA inputs and label settings, allowing this tool to adapt to any time frame, from scalping to swing trading. Designed by Takhtupuria to provide traders with a powerful, automated signal system that simplifies technical analysis.
Pine Script®指标
由hundredmilliondoller提供
Takhtupuria All-in-One Sniper & Alligator ..2All-in-One Sniper & Alligator Pro This advanced trading tool integrates the power of the Alligator indicator and Exponential Moving Averages (EMA) with visual buy/sell signal shapes, making trend identification clearer than ever. Key Features: Trend Confirmation: Includes 21 EMA and 200 EMA for institutional-level trend analysis. Alligator Precision: Uses the full Alligator system (Jaw, Teeth, Lips) to identify precise market entry points. Visual Signals: Automated shapes (Up/Down triangles) are plotted directly on the chart to indicate potential trend reversals and entry signals. How to use: Settings: Easily customize the visibility of EMAs and Alligator lines in the Inputs tab. Visuals: Use the Style tab to adjust the appearance of signals and lines to suit your trading environment. Designed by Takhtupuria for traders who demand clarity and precision in their trend analysis. ਕੈਟਾਗਰੀ ਅਤੇ ਟੈਗਸ:
Pine Script®指标
由hundredmilliondoller提供
Smart Trend Flow Pro [MarkitTick]💡 Navigating modern market structures requires a robust mechanism capable of filtering out transient noise while capturing the dominant directional vectors. The Smart Trend Flow pro is an advanced analytical framework designed to dynamically track market momentum and volatility, transforming complex price action into a highly readable, visual heatmap. By synthesizing trend identification with continuous volatility scaling, this tool aims to provide clarity in both ranging environments and high-expansion phases, allowing for more structured and disciplined market analysis. ✨ Originality and Utility ● A Paradigm Shift in Trend Visualization Traditional channel-based indicators often suffer from severe lag or become entirely unreadable during periods of intense market contraction. The utility of this script lies in its adaptive ability to map structural boundaries and instantly correlate them with localized market energy. By discarding static thresholds in favor of a dynamic, self-adjusting baseline, the tool presents a unified view of both direction and conviction. ● Beyond Binary Signals Standard indicators frequently rely on binary conditions—such as a simple moving average crossover—which ignore the underlying volatility context. This script pioneers a synthesized approach where the strength of a trend is continuously evaluated against its own historical variance. This allows users to visually differentiate between a low-conviction drift and a highly energized breakout, providing a much richer context for potential trade management and risk assessment. 🔬 Methodology and Concepts ● Dynamic Boundary Engine At the core of the script is a reactive boundary detection mechanism. Rather than projecting fixed bands, the engine establishes fluid upper and lower parameters based on recent localized extremes. These boundaries can be structurally smoothed using various adaptive algorithms, effectively tuning the sensitivity of the channel to match the specific rhythm of the asset being analyzed. ● Volatility Normalization Process To accurately gauge market energy, the framework continuously measures the distance between the established boundaries. This raw measurement is then subjected to a rigorous statistical normalization process. By evaluating current fluctuations against a rolling historical baseline, the engine maps the resulting variance onto a bounded curvilinear scale. This abstract transformation isolates the pure kinetic energy of the market, stripping away absolute price dependencies to provide a standardized metric of volatility expansion and contraction. ● Integrated State Tracking The logical engine monitors the interaction between the closing prices and the smoothed boundary parameters. A structural shift is recognized only when price definitively breaches and sustains its position relative to these dynamic thresholds. This state-tracking ensures that the primary directional bias is maintained until a statistically significant reversal occurs, minimizing false positives during minor retracements. 🎨 Visual Guide ● Color-Coded Heatmap Candles The primary visual feature is the complete transformation of the standard candlestick chart into a continuous heatmap. The colors directly correspond to the synchronized output of the trend direction and the normalized volatility metric. Bullish Gradients: When the market establishes an upward bias, the candles transition through a cool-to-hot spectrum. Deep, cold colors represent low-volatility accumulation phases, while bright, hot neon colors signify intense, high-volatility bullish expansion. Bearish Gradients: Conversely, downward structural shifts are mapped using a separate color spectrum. Dark, muted tones indicate slow, grinding bearish action, whereas vivid, hot colors highlight rapid, high-volatility sell-offs. Neutral States: When the price resides within the core boundary parameters, demonstrating no clear directional dominance, the candles default to a flat, neutral gray to reduce visual noise. ● Signal Markers Buy Labels: Distinct markers appear precisely below the price action when the engine confirms a definitive upward structural breach. Sell Labels: Clear markers are printed above the price action upon the confirmation of a downward structural breach. 📖 How to Use ● Interpreting the Heatmap The most effective way to utilize this tool is to read the candle colors as a topographical map of market energy. A transition from a neutral state into a cold bullish or bearish color suggests the early formation of a trend. As the colors heat up and transition toward their neon extremes, it confirms that the directional move is being supported by expanding volatility, which often characterizes the most robust phase of a trend. ● Managing Trend Exhaustion Traders can monitor the intensity of the heatmap to gauge potential momentum decay. If a strong trend has been characterized by hot, neon colors, a gradual cooling off—where the colors revert to darker, colder shades—may indicate that the localized volatility is subsiding, suggesting potential consolidation or a pending structural shift. ● Confirming Breakouts The printed Buy and Sell labels serve as structural confirmation points. These markers are best utilized not in isolation, but in confluence with the heatmap. A signal label accompanied by an immediate transition into a high-volatility color spectrum carries significantly more analytical weight than a signal that remains mired in a cold or neutral visual state. ⚙️ Inputs and Settings ● Channel Settings Channel Length: Determines the primary lookback window for establishing the core upper and lower boundaries. Increasing this value creates a wider, slower-moving channel, while decreasing it makes the system highly sensitive to recent price action. Channel MA Type: Allows the user to apply different smoothing algorithms to the boundaries. Options range from the standard baseline to advanced weighting methods, providing precise control over signal reactivity. ● Analytics Settings Squeeze/Z-Score Length: Defines the historical window used to evaluate the relative volatility. A longer length provides a smoother, more macro-level volatility assessment, while a shorter length makes the heatmap highly reactive to sudden micro-expansions. ● Candle Heatmap Settings Bullish/Bearish Color Controls: Fully customizable inputs allowing the user to define the exact hex values for the cold and hot extremes of both the bullish and bearish spectrums. Neutral Market Base: The default color applied when the market is bound within the channel without a confirmed directional state. ● Signal Settings Label Colors: Configurable color selections for the printed Buy and Sell confirmation markers. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Topological Price Mapping At a fundamental level, the script treats financial time-series data not as discrete data points, but as a continuous topological surface. By evaluating the highest and lowest ranges over a specified temporal window, it effectively creates a rolling bounding box that encapsulates the probable distribution of future price vectors. The application of sophisticated moving average algorithms to these boundaries acts as a low-pass filter, mathematically attenuating high-frequency noise and exposing the true underlying macroeconomic drift. ● Non-Linear Variance Scaling The most complex aspect of the engine is its approach to variance. Standard deviation on its own is an unbounded metric, making it difficult to utilize in a standardized visual format. The script solves this by isolating the width of the bounding box and comparing it against its own moving average and standard deviation. This transforms the raw width into a standardized probabilistic metric. ● The Sigmoidal Activation Function To achieve the seamless visual gradient, this standardized variance must be mapped onto a finite plane. The engine employs a logistic function—specifically, a sigmoidal activation curve—to compress the unbounded variance data strictly between a 0 and 100 scale. This non-linear mapping ensures that the visual heatmap remains highly sensitive to subtle shifts around the mean, while gracefully asymptotically compressing extreme, outlier volatility spikes, thereby maintaining absolute visual coherence regardless of the asset's inherent behavior. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script®指标
由MarkitTick提供
5
Artemis Squeeze Momentum🟦 Artemis Squeeze Momentum collapses an entire momentum-and-volatility workflow into a single oscillator pane. Eight analytical layers — Squeeze Momentum core, Directional Flux, three-tier compression detection with a release tracker, dual confluence gauges, dual anchor Regular + Hidden divergence with a Smart AI Filter, a composite Trend Strength Score (0–100), a four-timeframe MTF Confluence panel with alignment / divergence detection, and a theme-adaptive PRO dashboard — operate as one integrated system, all driven by a single theme dropdown across 12 cohesive palettes. Most squeeze indicators ship as a strip of black-and-red dots with a lone momentum histogram, then require a separate ADX, a separate divergence tool and a separate confluence gauge to complete the read. Artemis Squeeze Momentum closes that gap: every compression tier, every directional cross, every divergence, every higher-timeframe bias reads from the same pane in the same colour language — no inline colour pickers, no palette drift, no pane-hopping. The result is a complete momentum workbench where compressions, breakouts, regime flips, divergences and multi-TF bias are all readable at a glance. 🟦 HOW THE CORE ENGINE WORKS **Squeeze Momentum Engine** Each bar, the engine builds three anchors over the Momentum Length window: 1. **Channel midpoint** — `(highest(high, len) + lowest(low, len)) / 2` 2. **Smoothed midline** — `SMA(HL2, len)` 3. **Channel ATR** — channel range plus the gap-to-prior-close component (matches Pine v5 `tr(true)` on the synthetic channel bar) The raw momentum is then computed as: mom_raw = (close − avg(channelMid, smaMid)) / channelATR × 100 This produces a channel-aware, ATR-normalized residual scaled to roughly the ±100 range. The result is then passed through `ta.linreg(mom_raw, len, 0)` to produce the visible momentum line — a linear-regression smoothing that gives the curve its characteristic forward-leaning shape. An SMA of length Signal Length builds the trigger line. Crossovers between momentum and signal mark momentum regime changes — the same convention used by classical MACD. **Directional Flux** A custom ADX-style oscillator running in parallel. Each bar, the engine measures positive high-changes vs. negative low-changes, each RMA-smoothed and ATR-normalized: up = RMA(max(change(high), 0), len) / ATR(len) dn = RMA(max(−change(low), 0), len) / ATR(len) ratio = (up − dn) / (up + dn) flux = RMA(ratio, len / 2) × 100 The result is a directional bias oscillator bounded to ±100. An overflow branch (values past ±25 — where the directional pressure becomes structurally significant) renders as a separate, brighter fill so traders read both raw direction and acceleration in one glance. **Heiken Ashi Bias (Optional)** When `Use Heiken Ashi Bias` is enabled, the Flux engine reads from a Heiken Ashi bar stream instead of raw OHLC. HA bars smooth body / wick noise and emphasise trend continuation — useful on lower timeframes where raw OHLC is noisy. 🟦 SQUEEZE DETECTION A three-tier Bollinger-vs-ATR compression detector running on the same Length as the Momentum Core (so compression and momentum stay perfectly aligned): | Tier | Condition | Visual | |---|---|---| | Tight | stdev < ATR × 0.5 | Deepest, most saturated theme tone | | Mid | stdev < ATR × 0.75 | Middle-intensity theme tone | | Loose | stdev < ATR × 1.0 | Lightest tier — broadest detection | Tiers nest — tight implies mid implies loose. The bottom-of-pane squeeze column lights up whenever any tier is active and the colour escalates as compression tightens, using a theme-native ramp drawn from each palette's own colour family (so the column reads as part of the theme rather than an imported generic warning). The standard deviation is computed via a single-pass Welford algorithm — numerically stable on long histories where naive sum-of-squares accumulators drift. **♦ Squeeze Release Marker** The signature feature of the engine. The bar after the loosest active tier (stdev < ATR × 1.0) finally drops off, a tiny ♦ diamond paints at the midline in the theme's vivid release accent — one step brighter and more saturated than the tight tier so the climax moment reads as the most luminous point in the squeeze cycle. This is the canonical "spring uncoiled" moment: compression has fully ended, volatility expansion begins, breakout direction is about to reveal itself. Historically the highest-conviction breakout setup the squeeze model produces. Hovering on the marker surfaces: - Current bar state (compression ended this bar) - Meaning (volatility expansion incoming) - Next steps (watch the next 1–5 bars, confirm with Momentum slope, cross-check Flux, prioritise MTF-aligned setups) 🟦 CONFLUENCE GAUGES Two horizontal strips render at the top (Bull side, +70 to +75) and bottom (Bear side, −70 to −75) of the pane. Each strip lights up when momentum and flux agree on direction, with brightness reflecting the confluence tier: | State | Condition | Opacity | |---|---|---| | Strong Bull | mom > 0 AND flux > 0 | Full | | Weak Bull | mom > 0 OR flux > 0 | Half | | Strong Bear | mom < 0 AND flux < 0 | Full | | Weak Bear | mom < 0 OR flux < 0 | Half | | Neutral | Neither side dominates | Transparent | The display mode (Both / Bull / Bear / None) lets traders mute one half if they only trade one direction. **Confluence Buy / Sell Triangles** A separate signal layer rides outside the gauges. The detector fires only when momentum crosses its signal line WHILE in the opposite zone past the Signal Threshold AND with flux in the opposite direction (classic mean-reversion logic): - **Buy ▲** (below bear gauge at −90) — `xMomUp AND momVal < −threshold AND fluxVal < 0` - **Sell ▼** (above bull gauge at +85) — `xMomDn AND momVal > +threshold AND fluxVal > 0` Each triangle pairs with an invisible label carrying a tooltip that lists current mom, signal, flux, the active threshold, and a one-line interpretation of the trigger. The Signal Threshold (default 40) is independent of the Divergence Sensitivity setting — the two engines need different thresholds (divergence wants permissive at 25 for pivot detection, confluence wants strict at 40 for deep mean-reversion triggers). 🟦 DIVERGENCE DETECTION A cross-confirmed, dual-anchor detector that fires on signal-line crossovers (NOT on Pine pivots). Regular divergences signal exhaustion reversals, Hidden divergences signal trend continuation. **Four divergence types:** | Type | Price | Momentum | Signal | |---|---|---|---| | Regular Bull (D▲) | Lower Low | Higher Low | Potential reversal up | | Regular Bear (D▼) | Higher High | Lower High | Potential reversal down | | Hidden Bull (H▲) | Higher Low | Lower Low | Uptrend continuation | | Hidden Bear (H▼) | Lower High | Higher High | Downtrend continuation | Regular divergence uses solid lines; Hidden uses dashed lines — visually quieter to match the continuation signal's lower conviction tier. Labels (D▲ / D▼ / H▲ / H▼) each carry a tooltip-rich hover with price + momentum + meaning context. **Dual-Anchor Logic** The key engineering choice. Regular and Hidden divergences each maintain their own separate anchor pair: - **Regular anchors** — stored only at extreme-zone crosses (|mom| > Sensitivity). Catches classical exhaustion reversals at deep extremes. - **Hidden anchors** — stored at ANY signal-line cross, regardless of zone. Shallow pullbacks inside an established trend rarely push momentum past ±Sensitivity, so the Hidden detector must accept every cross to capture the classical "price HL + mom LL" / "price LH + mom HH" continuation pattern. A detected divergence consumes its anchor (resets to na) so the next setup starts fresh. **Smart Divergence Filter (AI)** Optional pre-filter that rejects low-quality divergences before they render. Three independent gates: 1. **Min Momentum Swing** — minimum |momentum| difference between the two pivot momentum values (default: 10 units). Drops noise-level differences. 2. **Min Price Swing (%)** — minimum price swing between pivots as a percentage of the recent `Momentum Length × 4` high-low range (default: 0.3%). Drops divergences where price barely moved relative to recent volatility. 3. **Require Flux Confirmation** — Flux must agree with the divergence direction at the moment of detection (Bull div needs Flux > 0, Bear div needs Flux < 0). Filters out divergences that fire counter to the broader directional bias. When the master toggle is OFF (default), all detected divergences render. When ON, only divergences that clear all three gates survive. The filter applies identically to chart rendering and alert conditions — no mismatch between visual and alert signals. 🟦 COMPOSITE TS SCORE (0–100) A weighted blend of every analytical layer into a single RSI-style 0–100 reading. 50 is neutral, > 50 leans bull, < 50 leans bear. | Component | Weight | Mapping | |---|---|---| | Momentum | 30% | mom value mapped from −100..+100 → 0..100 | | Flux | 30% | flux value mapped the same way | | Mom × Signal | 15% | 70 if mom > sig, else 30 (slope direction confirmation) | | Confluence | 25% | 90 strong-bull / 65 weak-bull / 50 neutral / 35 weak-bear / 10 strong-bear | The score is rounded to the nearest integer and labelled into five tiers in the dashboard: STRONG BULL (≥75) / BULL (≥60) / NEUTRAL (40–59) / BEAR (≥25) / STRONG BEAR (<25), each prefixed with a directional glyph (▲ ▼ ■). The tier label gives traders an executive summary at a glance — one row in the dashboard tells you what every other row collectively says. 🟦 MULTI-TIMEFRAME CONFLUENCE A separate PRO panel that runs the full Momentum + Flux + Confluence stack on four higher timeframes simultaneously via `request.security()` and surfaces the overall alignment state. All MTF calls use `lookahead = barmerge.lookahead_off` — fully repaint-safe on every closed bar. **Six Presets** Pre-tuned four-timeframe packs matched to common trader profiles: | Preset | TF 1 | TF 2 | TF 3 | TF 4 | Use case | |---|---|---|---|---|---| | Scalp | 1m | 5m | 15m | 1h | Fast scalper | | Intraday | 5m | 15m | 1h | 4h | Day trader | | Swing | 15m | 1h | 4h | 1D | Default — swing trader | | Position | 1h | 4h | 1D | 1W | Position trader | | Crypto | 5m | 15m | 1h | 4h | 24/7 markets | | Forex | 15m | 1h | 4h | 1D | Session-based markets | **Alignment Detection** Each TF returns a bias tag (▲ STRONG / ▲ WEAK / ▼ STRONG / ▼ WEAK / ◈ NEUTRAL) and a direction code (+1 / 0 / −1). The header rolls up the four codes into one of three states: - **▲▲▲▲ ALIGNED** — all four TFs bullish (highest-conviction long setup) - **▼▼▼▼ ALIGNED** — all four TFs bearish (highest-conviction short setup) - **◈ MIXED** — TFs disagree (no clean direction) **Divergence Detection** When the current chart's bias contradicts ≥ 3 of the 4 HTF biases (e.g., chart bullish but 3+ HTFs bearish), an MTF Divergence flag fires — a contrarian / counter-trend warning. Treat as a "current move may be a bull / bear trap" signal. **Panel Style** Direction is conveyed purely by the ▲ / ▼ glyphs in each row's tag — never by cell colour. Every cell uses a uniform `thBull` text colour matching the main Dashboard, so the two panels feel like one product across all twelve themes, light and dark alike. 🟦 BAR COLORING Five mutually exclusive modes apply an oscillator-driven colour to every price bar on the chart: | Mode | Behavior | |---|---| | None | Leave bars untouched (default) | | Momentum | Bull when mom > 0, bear when mom < 0 | | Flux | Bull when flux > 0, bear when flux < 0 | | Squeeze | Theme-native ramp when compressed, neutral otherwise | | Confluence | Strong / Weak / Neutral tiers via mom + flux agreement | | Slope | Bull when mom > signal, bear when mom < signal | Colours are pulled from the active theme — no per-mode color picker needed. 🟦 DASHBOARD A compact 2-column, 8-row data panel renders on the last bar when enabled. Every value derives from variables already computed upstream, so the dashboard adds zero overhead until the final bar. | Row | Left | Right | |---|---|---| | Header | Artemis Squeeze | ▲ STRONG BULL / ▲ WEAK BULL / ■ NEUTRAL / ▼ WEAK BEAR / ▼ STRONG BEAR | | TS Score | TS Score | 0–100 composite + tier label (STRONG BULL / BULL / NEUTRAL / BEAR / STRONG BEAR) | | Momentum | Momentum | Current value + trend arrow (▲ ▼ ■) | | Flux | Flux | Current value + trend arrow (▲ ▼ ■) | | Squeeze | Squeeze | TIGHT / MID / LOOSE / — | | Confluence | Confluence | STRONG BULL / WEAK BULL / NONE / WEAK BEAR / STRONG BEAR | | Div | Div | Most recent divergence within last 50 bars (▲ REG / ▼ REG / ▲ HID / ▼ HID / —) | | Slope | Slope | ▲ UP / ▼ DOWN / ■ FLAT | **Theme-Adaptive Chrome** The dashboard auto-inverts its layout based on the active theme: - **Dark themes** (Tropic, Amber, Pastel, Cyber, Helios, Electric, Candy, Bloomberg, Solar, Royal): header and footer use a faint `thBull` tint, middle rows stay solid dark, text uses full-saturation `thBull`. Border uses `thBull` at 20% transparency for strong theme presence. - **Light themes** (Midnight, Graphite): backgrounds flip to white, text stays `thBull` (which is itself dark on these themes), border uses `thBull` at 40% transparency. This guarantees text legibility against every palette without per-theme manual tuning. The MTF Confluence panel uses identical chrome rules so the two panels feel like one product. **Position & Size** Six anchor slots (Top / Middle / Bottom × Left / Right) and four text sizes (Tiny / Small / Normal / Large). The Dashboard defaults to Bottom Right and the MTF panel to Top Right — vertically opposite so the two never overlap. 🟦 COLOR THEMES Twelve cohesive palettes, each resolving to four axis colours plus a four-step squeeze ramp: | Theme | Character | Bull | Bear | |---|---|---|---| | Tropic | Cyan steel + deep orange | #00bcd4 | #ff6d00 | | Amber | Warm amber + ember red | #ff9800 | #e53935 | | Pastel | Sky blue + soft lavender | #4fc3f7 | #9575cd | | Cyber | Neon lime + hot crimson | #00e676 | #ff1744 | | Helios | Bright gold + scarlet | #ffd600 | #ef5350 | | Electric | Electric aqua + magenta | #00e5ff | #e040fb | | Candy | Neon green + hot pink | #69F0AE | #FF4081 | | Bloomberg | Terminal orange + cyan | #ff8c00 | #00b0ff | | Solar | Solarized olive + crimson | #859900 | #dc322f | | Royal | Imperial gold + deep purple | #ffd700 | #6a0dad | | Midnight | Deep navy + dark crimson | #0d47a1 | #b71c1c | | Graphite | Near-black + silver grey | #1a1a1a | #757575 | Beyond the four axis colours (bull / bear / neutral / signal), each theme also defines its own four-step squeeze ramp (tight / mid / loose / release) drawn from its own colour family — so the squeeze column and the ♦ release marker harmonise with the active theme rather than imposing a generic warning hue. Nothing below the theme resolver block references a raw hex literal, so a single dropdown selection drives every plot, fill, gauge, divergence line, dashboard cell, MTF panel and bar colour. 🟦 ALERT SYSTEM Twenty-two alert conditions, all using `alert.freq_once_per_bar_close`. Each alert is gated by its own toggle in the Alerts group — hiding a feature on the chart silences its alerts automatically. | Alert | Condition | |---|---| | Confluence Buy | Mom crossed UP through signal while below −Threshold AND Flux bearish | | Confluence Sell | Mom crossed DOWN through signal while above +Threshold AND Flux bullish | | Momentum Cross Up | Mom crossed above zero | | Momentum Cross Down | Mom crossed below zero | | Flux Cross Up | Flux crossed above zero | | Flux Cross Down | Flux crossed below zero | | Bullish Swing | Mom × signal upward cross (any zone) | | Bearish Swing | Mom × signal downward cross (any zone) | | Strong Bull Confluence | Mom AND flux both turned bullish | | Strong Bear Confluence | Mom AND flux both turned bearish | | Weak Bull Confluence | Mom OR flux turned bullish | | Weak Bear Confluence | Mom OR flux turned bearish | | Tight Squeeze | stdev < ATR × 0.5 | | Mid Squeeze | stdev < ATR × 0.75 | | Loose Squeeze | stdev < ATR × 1.0 | | Regular Divergence | D▲ or D▼ detected (respects Smart Filter) | | Hidden Divergence | H▲ or H▼ detected (respects Smart Filter) | | Squeeze Release ♦ | stdev re-expanded above ATR × 1.0 | | MTF Aligned | All four MTF timeframes agree on direction | | MTF Divergence | Current chart bias contradicts ≥ 3 of 4 HTF biases | Each alert fires through `alert()` so the message body carries live context — direction, current values, the trigger condition, and a one-line interpretation. Divergence alerts respect the Smart Filter — if the filter is ON and a divergence is rejected visually, the alert will also not fire. 🟦 SETTINGS REFERENCE **Visual** - Theme — 12 cohesive palettes. Default: Tropic **Bar Coloring** - Bar Color Mode — None / Momentum / Flux / Squeeze / Confluence / Slope. Default: None **Momentum Core** - Length — Lookback for both the Momentum engine and the Squeeze window. Range 7–50. Default: 20 - Signal Length — SMA smoothing for the signal line. Range 2–7. Default: 3 - Show Momentum — Toggle. Default: ON **Directional Flux** - Length — Lookback for the Flux engine. Range 7–50. Default: 30 - Use Heiken Ashi Bias — Toggle. Default: OFF - Show Flux — Toggle. Default: ON **Squeeze Engine** - Show Squeeze — Toggle. Default: ON - Show Squeeze Release — Toggle for the ♦ marker. Default: ON **Confluence Gauges** - Display Mode — Both / Bull / Bear / None. Default: Both - Signal Threshold — |momentum| floor for Buy ▲ / Sell ▼ arrows. Range 10–80. Default: 40 **Divergence** - Sensitivity — |momentum| floor for Regular div detection. Range 10–50. Default: 25 - Regular Divergence — Toggle. Default: ON - Hidden Divergence — Toggle. Default: ON - Show Divergence Lines — Toggle. Default: ON - Show Divergence Labels — Toggle. Default: ON - Label Size — Tiny / Small / Normal / Large. Default: Tiny - Smart Divergence Filter (AI) — Master toggle. Default: OFF - Min Momentum Swing — Default: 10.0 - Min Price Swing (%) — Default: 0.3% - Require Flux Confirmation — Default: ON **Multi-Timeframe** - Show MTF Panel — Toggle. Default: ON - Timeframe Preset — Scalp / Intraday / Swing / Position / Crypto / Forex. Default: Swing - Panel Position — 6 anchor slots. Default: Top Right - Panel Text Size — Tiny / Small / Normal / Large. Default: Small **Dashboard** - Show Dashboard — Toggle. Default: ON - Panel Position — 6 anchor slots. Default: Bottom Right - Panel Text Size — Tiny / Small / Normal / Large. Default: Small **Alerts** - 20 toggles covering all 22 alert conditions (Regular and Hidden divergence each drive two alerts — bull + bear — from one toggle). - Defaults ON: Confluence Buy/Sell, Mom Cross Up/Dn, Flux Cross Up/Dn, Strong Bull/Bear Confluence, Tight Squeeze, Regular Divergence, Squeeze Release, MTF Aligned. - Defaults OFF: Swings, Weak Confluences, Mid/Loose Squeeze, Hidden Divergence, MTF Divergence. 🟦 COMPATIBILITY Works on all asset classes and all timeframes in TradingView Pine Script v6. - Crypto: Spot, futures, perpetual contracts - Forex: All pairs - Equities: Stocks, ETFs, indices - Commodities: Metals, energy, agriculture - Timeframes: 1m through Monthly The channel-aware ATR normalization in the Momentum engine, the ATR-normalized Flux ratio, and the stdev / ATR squeeze tests make every layer volatility-agnostic. The same default settings work on a 1m BTC chart and a weekly index chart without retuning. The MTF presets cover the common scalp / intraday / swing / position profiles plus dedicated Crypto and Forex packs. 🟦 DISCLAIMER This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and apply proper risk management.
Pine Script®指标
由a_jabbaroff提供
24
Position Architect [JOAT]Position Architect Position Architect is an auto-triggered trade-plan visualizer. It consumes a signal source (any plot of another indicator, or a fallback SMA-cross), arms a trade with ATR-scaled stop loss and three risk-reward-scaled targets, and tracks the trade live with breakeven slide, R-multiple lines, MFE / MAE tracking, multi-currency PnL, position sizing, required margin, Kelly sizing suggestion, and a trade-history strip. What makes it different Most trade-planner indicators are manual: the user clicks entry, stop, and target. Position Architect is auto-triggered via input.source, so it plans trades from external signal feeds (other JOAT indicators or any compatible script). Four trigger modes: Manual toggle, Source-above-SMA, Source-cross-above-SMA, Source-cross-below-SMA. These cover bias, breakout, and counter-trend logics. A three-target ladder (not just one or two) with intermediate R-multiple lines (0.5R, 1R, 1.5R, 2R, 2.5R, 3R) drawn between entry and Target 3 so you see partial-take levels at a glance. Live R-multiple, MFE, MAE displayed next to the trade in real time. After the trade closes, those values are baked into a persistent history label. Kelly sizing suggestion based on an assumed win rate and the current risk-reward, capped at 25% to avoid pathological recommendations. How it works The signal source is the user-selected input.source. The trigger rule (one of four modes) determines when a long or short is armed. On arm: entry equals the current close. SL equals low minus ATR(14) times slMult for longs (or symmetric for shorts). Three targets at entry plus or minus risk times tp1Mult / tp2Mult / tp3Mult. Lifecycle gates on bar_index greater than tradeBar so the arm bar itself cannot also register hits (preventing spurious instant fills). Each subsequent bar: check for TP1, TP2, TP3 hits in order, plus stop-loss. TP3 takes precedence over SL on same-bar pierces. If TP1 hits and breakeven is enabled, the stop slides to entry. Position sizing: pos_size equals (capital times riskPct / 100) divided by (sl_pct / 100). Required margin equals pos_size divided by leverage. Kelly suggestion: f-star equals winRate minus (1 minus winRate) divided by RR, clamped to 25% max. Reading the chart Five horizontal price lines: entry (blue), SL (red), TP1 / TP2 / TP3 (green shades), each width 3 to 5. Five price-only labels at the right edge with R-multiples and percentages. Two linefills: a translucent red risk zone between entry and SL, a translucent green reward zone between entry and TP3. bgcolor tint while a trade is open. A 1-bar bgcolor pulse on TP / SL / breakeven events. A live R+0.8 MFE+1.5 MAE-0.3 label updating each bar near current price. Bars-in-trade counter near the entry. Trade-history strip above past entries with W/L outcomes and R-multiples. R-multiple intermediate lines with right-edge labels. A daily trade count plus win-rate summary. A comprehensive dashboard with capital, risk, leverage, R:R, Kelly, position size, required margin, direction, entry, current price, live PnL, status (OPEN / WIN / LOSS), bars in trade. Signals Trade activated long / short Target 1 / 2 / 3 hit Stop loss hit Breakeven slid All gated on barstate.isconfirmed or barstate.ishistory. No future references. Inputs Signal : signal source, trigger mode, signal SMA length, manual long / short toggles. Targets : SL ATR multiplier, TP1 / TP2 / TP3 risk multipliers, breakeven toggle, line extension bars. Capital : capital amount, risk percent, leverage, currency code. Kelly : assumed win rate. Visual : bullish / bearish colors, entry line color, SL line color, TP line color, R-multiple lines toggle, history strip toggle. Dashboard : position, size. How traders use this Discretionary planning : switch to Manual mode and toggle manualLong / manualShort to drop a complete plan at the current price, with ATR-aware stops and risk-aware sizing. Signal integration : connect Position Architect's signal source to another JOAT indicator's plot output (for example the composite of Iridescent Helix or the Stage-3 line of Sentinel Cascade) and let it auto-arm trades. Risk audit : the dashboard's R:R, position size, required margin, and Kelly suggestion are an instant pre-trade audit. You can compare across instruments. Performance review : the trade-history strip lets you scroll back through recent trades on the chart and see R-multiples without needing a separate journal. Limitations Kelly sizing assumes a stable win-rate-and-R distribution. Real performance varies. The suggestion is a calibration reference, not a recommendation. Position sizing is in price units. For futures or forex contracts the user must convert to contract count manually. The signal source must be a series compatible with input.source. If the connected indicator does not expose a useful plot, the trigger logic falls back to close. Trade lifecycle assumes one open position at a time. No pyramiding inside this script. Compatibility Pine Script v6 open-source indicator (overlay). Any symbol, any timeframe. ASCII currency codes (no Unicode glyphs) for cross-platform display. No request.security calls. Defaults SL ATR multiplier 1.5, targets at 1R / 2R / 3.5R, breakeven on after TP1, mint / red palette, ten-thousand-dollar capital with one percent risk and one times leverage, top-right medium dashboard.
Pine Script®指标
由officialjackofalltrades提供
Automatic Support & Resistance1. Overview This is an automatic Support and Resistance (S/R) level detector for TradingView. It identifies significant price pivots (peaks and troughs) based on user-defined settings and plots up to 8 dynamic levels on your chart. The script is intended for educational and informational purposes to demonstrate automatic S/R detection using pivot points and to help traders identify potential areas of interest. 2. Key Logic & Features A. Pivot Detection The script detects price pivots (local highs and lows) using ta.pivothigh() and ta.pivotlow(). Two detection speeds: Regular Pivots: Use the Right Bars setting to define the confirmation period. Quick Pivots: Use the Quick Right setting for more sensitive, faster-moving levels. Source Selection: Choose between using Close price or High/Low values for detection. B. Level Hierarchy The script plots eight levels, organized as: Resistance Levels (Red/Green): Levels 1, 3, 5, 7 (top 4 lines). Support Levels (Red/Green): Levels 2, 4, 6, 8 (bottom 4 lines). C. Visual Customization (NEW) Line Styles: Independently set the style for Resistance and Support lines: Solid (default for both) Dotted (uses plot.style_circles) Dashed (uses plot.style_stepline) Color Logic: Each level dynamically changes color: Green: Current close price is above the level (bullish context). Red: Current close price is below the level (bearish context). D. Additional Features show_last=1: Only the most recent segment of each level is shown, keeping the chart clean. trackprice=true: Extends the line horizontally to the right edge of the chart for easy reference. 3. User Inputs (Customization) Input Description Default Left Bars Number of bars to the left of a pivot. 50 Right Bars Number of bars to the right of a pivot (confirmation). 25 Quick Right Faster confirmation period for quick pivots. 5 Source Use Close or High/Low for pivot detection. Close Resistance Line Style Style for top (resistance) levels. Solid Support Line Style Style for bottom (support) levels. Solid 4. How to Use Add the script to any chart. Adjust Pivot Sensitivity: Increase Left Bars and Right Bars for longer-term, stronger S/R levels. Decrease them for more, shorter-term levels. Use Quick Right to add a more sensitive, faster-responding layer. Interpret the Levels: Resistance (top lines): Price may face selling pressure when approaching these levels from below. Support (bottom lines): Price may find buying pressure when approaching these levels from above. Green level: Price is currently trading above that level (potentially acting as support). Red level: Price is currently trading below that level (potentially acting as resistance). Combine with other tools: Use this as one component of a complete trading strategy, alongside trend indicators, candlestick patterns, or volume analysis. 5. Compliance & Transparency No Financial Advice: This script is strictly for educational and informational purposes. It does not provide financial advice, trading recommendations, or guaranteed results. All trading decisions are your own responsibility. Original Work: The code is the original work of the author, based on standard Pine Script pivot functions (ta.pivothigh, ta.pivotlow). It is published under the Mozilla Public License 2.0. No Guarantee: The accuracy, reliability, or profitability of the detected S/R levels is not guaranteed. Different market conditions may require different parameter adjustments. 6. Technical Notes & Limitations Version: Converted to Pine Script v6 for optimal performance and future compatibility. Repainting: Pivot-based levels are non-repainting by nature (ta.pivothigh/low only confirms after the right bars have passed). However, the dynamic coloring reacts to each new bar's close. Performance: The script is lightweight and runs efficiently on most charts. 7. Credits & Open Source This script is published under the Mozilla Public License 2.0. You are free to use, modify, and share this code for non-commercial purposes, provided you retain the original license and attribution. No private keys, external dependencies, or hidden functions are included.
Pine Script®指标
由nasalgotrading提供
Synapse Trail Pro [WillyAlgoTrader]◆ SYNAPSE TRAIL PRO — FREE & OPEN-SOURCE Synapse Trail Pro is an overlay indicator that fuses a ratcheted ATR trail, a 3-factor market regime engine, a 5-factor signal quality score, and a complete risk-management layer (SL + TP1/TP2/TP3 + automatic break-even) into one decision-support system. Every signal arrives pre-graded (A / B / C), pre-leveled (SL and three targets drawn on the chart), and pre-contextualized (regime, HTF bias, volume, RSI, ATR percentile — all in one dashboard). The core problem it solves: classic SuperTrend-style trails fire too many signals in choppy markets, and the trader is left guessing which ones to trust. Synapse Trail Pro keeps the clean visual of an ATR trail but scores each signal 0–100 using multi-factor confluence and tells you the market regime in plain language — so you know at a glance whether the chart wants a trend signal taken or skipped. This is fully free, open-source Pine v6 — no paywall, no invite, no DM required. Use it, study it, adapt it. 🧩 WHY THESE COMPONENTS WORK TOGETHER A trail line alone tells you direction. A quality score alone tells you confidence. A regime filter alone tells you environment. None of these are useful in isolation — a high-confidence signal in a choppy regime is still a coin flip, and a clean trail flip in a strong trend with no volume confirmation can still fail. Synapse Trail Pro fuses them into a single pipeline: ATR Trail (with optional ratchet) → Direction Flip Detection → Regime Score (ADX + Choppiness + R²) → Quality Score (HTF + Volume + RSI + Regime + Break Strength) → Grade A/B/C → Risk Levels (preset SL + TP1/TP2/TP3) → Break-Even after TP1 → Lifecycle Stats The trail produces the raw signal. The regime engine tells you whether the market is even capable of trending right now. The quality score weighs five independent confluence factors against that regime. The grade compresses the score into a single letter you can act on. The risk layer then drops your SL, three TPs, and break-even logic onto the chart automatically — so the moment the signal fires, you already see the trade plan. Without the regime engine, you'd take signals in chop. Without the quality score, you'd treat every flip equally. Without the risk levels, you'd still be calculating SL and TPs manually after the signal. Each component covers a blind spot of the others. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Ratcheted ATR Trail with Adaptive Volatility Multiplier. The trail center is an EMA (default 21) of close, with bands at ±ATR × multiplier (default base 1.618 — the golden ratio). When the Ratchet option is on (recommended), the lower band only moves up in a long position and the upper band only moves down in a short — never loosens, only tightens. On a direction flip, the band resets to its raw value. When the Adaptive Volatility Multiplier is on, the base multiplier auto-scales based on the 100-bar ATR percentile rank: — Low vol (rank < 30) → multiplier × 0.8 (narrower band, catch the move earlier) — Mid vol (30–70) → multiplier × 1.0 (default) — High vol (rank > 70) → multiplier × 1.25 (wider band, avoid noise wicks) Why this matters: a fixed multiplier overreacts in calm markets and gets whipsawed in volatile ones. Percentile-rank scaling keeps the trail behavior consistent across market conditions. 2️⃣ Composite Market Regime Score (0–100) — three-factor blend. Each bar, three independent measurements vote on whether the market is trending or choppy: — ADX (weight 40%) : standard Directional Movement ADX, length 14. Score = min(ADX / 50 × 100, 100). High ADX = strong directional pressure. — Choppiness Index (weight 35%) : ChopIdx = 100 × log10(sum(TR, N) / (highest(high, N) − lowest(low, N))) / log10(N), then inverted to a trend score: chopScore = 100 − ChopIdx. Length 14. Low choppiness = clean directional movement. — R² Linearity (weight 25%) : R² = correlation(close, bar_index, 50)². Measures how linearly price is moving. R² near 1 = clean trend, R² near 0 = pure noise. Final regime score = ADX × 0.40 + chopScore × 0.35 + R² × 100 × 0.25. Thresholds: — Score ≥ 60 → Trending (green) — Score < 35 → Choppy (red) — signals flagged with ⚠ or hard-skipped — Between → Mixed (yellow) Why three indicators instead of one: ADX measures strength but lags. Choppiness measures range expansion but can spike on news. R² measures linearity but is noisy on short windows. Combined and weighted, they cover each other's failure modes. 3️⃣ 5-Factor Quality Score (0–100) with letter grading. When a trail-flip signal fires, it's scored on five confluence factors: — HTF Bias (max 30 points) : higher-timeframe (4× current TF by default) EMA-50 bias. Match = 30, against = 0, HTF data missing or filter off = 15 (neutral credit). — Volume Confirmation (max 20 points) : volume > 20-bar SMA × 1.3 (configurable). Auto-bypassed and given full credit on volume-less instruments (FX). — RSI Momentum (max 20 points) : bullish signal needs RSI > 50, bearish needs RSI < 50. — Regime Score (max 20 points) : regimeScore × 0.20. — Break Strength (max 10 points) : how far past the band close pierced, capped at 3 × ATR. breakStrength = min(|breakDist| / ATR, 3) / 3 × 100, then × 0.10. Grades: — Score ≥ 75 → A (high-quality, all factors aligned) — Score ≥ 55 → B (acceptable, most factors aligned) — Score < 55 → C (weak — most factors against, consider skipping) A "Min Quality Score" input lets you hide everything below a threshold (e.g., set to 55 to show only A and B grades). 4️⃣ Risk Presets with Per-Trade Snapshot Locking. Four risk presets (plus Custom) auto-set SL × ATR and TP1/TP2/TP3 as R-multiples: — Conservative : SL 2.5 × ATR, TP 1R / 2R / 4R — Balanced (default): SL 1.5 × ATR, TP 1R / 2R / 3R — Aggressive : SL 1.0 × ATR, TP 1.5R / 2.5R / 4R — Scalping : SL 0.8 × ATR, TP 0.8R / 1.5R / 2R — Custom : full manual control Critical detail: SL and TP multipliers are snapshotted at entry . If you change the preset mid-trade, the open position keeps its original levels — and the Avg R statistic stays accurate (each closed trade contributes its own-time R values). 5️⃣ Break-Even Logic with Diagnostic BE-Save Counter. When Break-Even After TP1 is on (recommended), reaching TP1 automatically moves the stop-loss to entry price. From the next bar onward, any wick at entry stops out at break-even instead of original SL — letting winners run risk-free to TP2/TP3. A dedicated BE Saves counter on the dashboard tracks wins that closed because BE-stop fired (TP1 reached but TP3 didn't). A high BE-save ratio is a diagnostic signal that your TP3 may be too far — consider tightening. 6️⃣ Same-Bar Hit Guard + Realistic Closure Logic. Two guards prevent unrealistic results: — Entry-bar hold : SL/TP hits are ignored on the entry bar itself. A hairpin wick can't instantly stop out a fresh position. — Same-bar SL+TP1 : if both SL and TP1 are hit on the same bar, the trade closes as a LOSS (conservative — mirrors realistic broker behavior on a single wick). Closures are routed through a single classifier function so flip-closures, SL-closures, and TP3-closures are all tallied identically. 7️⃣ Flip Detection + Dedicated Flip Alert. A "flip" is when an opposite signal fires while a position is still active. The old trade is classified and counted (its TP-reached state determines W/L and R-multiple), THEN the new position opens. A dedicated POSITION FLIP alert fires in addition to the new buy/sell alert, with from-direction, to-direction, prior entry, and new entry — useful for closing managed positions externally. 8️⃣ Unified Dashboard with Three Toggleable Sections. One positioned table with three sections you can switch on/off individually: — Trade section : Direction (with grade), SL (with BE marker), TP1/TP2/TP3 (with ✓ on hit), Risk % / R:R with unicode gauge, Bars in Trade. — Market section : Regime (with 0–100 gauge), HTF bias, Volume status, RSI, ATR | Volatility-rank with adaptive multiplier. — Statistics section : Total signals + grade breakdown (A:N B:N C:N), Buy/Sell split, Closed trades, W/L, Win rate, Avg R-multiple, BE Saves, Flips. Dynamic section headers carry live context (e.g., "─── Trade · LONG · 23 bars ───") so the divider itself summarizes state. 9️⃣ Three Trail Visual Schemes for Different Aesthetics. — Adaptive (Bull/Bear) : classic bright green/red — high visibility. — Premium Indigo (recommended): muted indigo (long) and earth-brown (short) — financial-terminal aesthetic, never competes with green TP lines. — Monochrome : neutral grey for ultra-minimal charts. Optional Double Trail Line adds a dashed secondary line offset by a fraction of ATR (configurable 0.05–1.0 × ATR), creating a "channel" visual. The dashed segments are drawn via a ring-buffer of line.new(... line.style_dashed) instead of plot() — this produces TradingView's native dashed look that plot() can't render natively. 🔟 Theme Auto-Detection + Premium Color Palette. The indicator detects whether your chart background is dark or light (using color.r(chart.bg_color) < 128) and adapts every palette element accordingly. Theme can also be force-set to Dark or Light. Light-theme variants use deeper, more saturated colors to maintain contrast (e.g., deep crimson SL on white, dark amber for BE). All label text colors are calibrated for ≥4.5:1 contrast against their background (e.g., dark green text on bright green long labels = 7.8:1 ratio). 1️⃣1️⃣ Webhook-Ready JSON Alerts with Full Payload. Every buy/sell/flip/SL-hit/TP-hit/BE-activation event can fire as plain text OR structured JSON. The JSON payload includes action, ticker, timeframe, price, SL, TP1/TP2/TP3, R:R, grade, quality score, regime, choppy flag, and flip flag — ready for any webhook automation. 🧠 HOW IT WORKS — STEP BY STEP Step 1 — ATR + Trail Center: ATR(13) and EMA(21) of close are computed. Raw bands = EMA ± ATR × multiplier (base 1.618). Step 2 — Adaptive Multiplier (optional): If on, the multiplier scales by 100-bar ATR percentile (×0.8 / ×1.0 / ×1.25). Step 3 — Ratchet Logic (optional): In a long, the lower band can only move up. In a short, the upper band can only move down. On a direction flip, the band resets to raw. Step 4 — Direction Flip Detection: Close > prev upper band → direction = 1 (long). Close < prev lower band → direction = −1 (short). A change in direction is the raw signal. Step 5 — Regime Score: ADX × 0.40 + ChopScore × 0.35 + R² × 100 × 0.25. Trending ≥ 60, Choppy < 35. Step 6 — Quality Score: HTF (0/15/30) + Volume (0 or 20) + RSI (0 or 20) + Regime × 0.20 + BreakStrength × 0.10. Grade A ≥ 75, B ≥ 55, C < 55. Step 7 — Filtering: Min Quality threshold, choppy-skip toggle, barstate.isconfirmed gating. Step 8 — Risk Levels: SL = entry ± ATR × slMult. TP1/TP2/TP3 = entry ± slDistance × tpMult. All snapshotted to the trade. Step 9 — Lifecycle: On TP1 first-touch → BE activates (SL → entry). On SL or TP3 → trade closes, classified by tp1Reached (WIN if true, LOSS if false), R-multiple credited (1/3 per TP partition), state reset. Step 10 — Visuals + Alerts: SL/TP lines drawn forward, labels updated on hit (✓ + cyan), alerts fired with full payload, dashboard updated. 📖 HOW TO USE — BEGINNER GUIDE 🎯 Quick start (5 steps): 1. Add Synapse Trail Pro to your chart on any timeframe. 2. Open Settings. Leave defaults for the first session — they are tuned for general use (Balanced preset, Premium Indigo trail, HTF filter on, BE on). 3. Wait for the first signal to fire (▲ Long or ▼ Short marker). The marker shows the grade (A/B/C) and a ⚠ flag if in choppy regime. 4. Read the dashboard (top-right by default). Note the Direction , Grade , Regime , and the SL/TP1/TP2/TP3 levels — these are your full trade plan. 5. Execute the trade in your broker using the SL and TPs from the dashboard. Optionally partition position 1/3 at each TP. 👁️ Reading the chart: — 🟢 ▲ Long Grade-letter below a bar = Buy signal. Color matches grade quality. — 🔴 ▼ Short Grade-letter above a bar = Sell signal. — ⚠ next to the grade = signal fired in choppy regime (be cautious or skip). — Trail line = current direction context. Indigo = long bias, terracotta = short bias (in Premium scheme). — Dashed secondary line = soft/hard limit zone, offset by a fraction of ATR. — ENTRY line (dotted blue) = your entry reference price. — SL line (solid red) = your stop-loss. — TP1 / TP2 / TP3 lines (dashed green) = your take-profit targets. Turn solid teal with ✓ on hit. — Entry → SL (BE) label in amber = break-even is active (TP1 was reached, SL is now at entry). 📊 Dashboard fields (Trade section): — Direction : LONG / SHORT / FLAT + Grade letter. — SL : stop-loss price. Shows "BE @" prefix when break-even is active. — TP1 / TP2 / TP3 : target prices. ✓ prefix once reached. — Risk / R:R : distance % from entry to SL + current R:R + visual gauge. — Bars in Trade : how many bars since entry. 📊 Dashboard fields (Market section): — Regime : Trending / Mixed / Choppy + 0–100 gauge. — HTF : higher-timeframe bias (Bullish / Bearish / Flat / off). — Volume : Confirmed / Weak / no data / off. — RSI : current 14-period RSI value, color-coded. — ATR | Vol : ATR value, 100-bar volatility percentile, and current adaptive multiplier. 📊 Dashboard fields (Statistics section): — Signals : total fired + breakdown (A:N B:N C:N). — Buy / Sell : directional split. — Closed : total wins + losses (flip, SL, and TP3 closures all counted). — W / L : wins / losses. — Win Rate : TP1-reached = WIN. Color-coded ≥ 55% green, ≥ 45% yellow, else red. — Avg R : average realized R-multiple per closed trade. — BE Saves : wins that closed because BE-stop fired (diagnostic). — Flips : trades closed by opposite signal mid-position. 💡 Beginner trading workflow: 1. Start with the Balanced preset and HTF Bias Filter ON . 2. Only take A-grade or B-grade signals — set Min Quality Score to 55. 3. Skip every signal flagged with ⚠ (choppy regime) until you understand the regime engine — or enable Hard-skip Choppy . 4. Use the Premium Indigo trail scheme — the muted colors keep your focus on the SL/TP levels, not the trail itself. 5. Always partition position 1/3 at each TP — that's what the R-multiple math assumes. 6. After 30–50 trades, review the Statistics section: if Avg R is positive, the setup works. If BE Saves > 30% of wins, consider tightening TP3. 🔧 Tuning guide: — Too many signals: increase Min Quality Score to 75 (A-grade only), enable Hard-skip Choppy. — Too few signals: lower Min Quality to 0, turn off HTF filter, switch from Balanced to Aggressive preset. — Stops too tight: switch to Conservative preset (SL 2.5 × ATR). — Stops too wide: switch to Scalping preset (SL 0.8 × ATR). — BE stopping you out too often: disable Break-Even After TP1. — Trail too jumpy: increase Trail EMA Length from 21 to 34, enable Ratchet. — Trail too sluggish: decrease Trail EMA Length to 13, decrease ATR Length to 8. — Chart too busy: turn off Double Trail Line and Regime Background, set Trail History Bars to 50. ⚙️ KEY SETTINGS REFERENCE ⚙️ Main Settings: — ATR Length (default 13): ATR period for volatility band. — Base ATR Multiplier (default 1.618 — golden ratio): base band width. — Trail EMA Length (default 21): EMA period for trail center. — Adaptive Volatility Multiplier (default off): auto-scale multiplier by 100-bar ATR percentile. — Ratchet Trail (default on): trail only tightens in position direction. 🔍 Signal Filters: — Min Quality Score (default 0): hide signals below threshold (0 = all, 55 = B+, 75 = A only). — Hard-skip Choppy Signals (default off): fully suppress signals in choppy regime. — Use HTF Bias Filter (default on): Quality Score bonus for HTF-aligned signals. — HTF for Bias (default empty = auto 4×): higher timeframe for bias check. — Use Volume Confirmation (default off): bonus when volume > 20-SMA × threshold. — Volume Threshold (default 1.3): volume × SMA20 to count as confirmation. 🌊 Market Regime: — ADX Length (default 14) — Choppiness Length (default 14) — R² Regression Length (default 50) 🛡️ Risk Management: — Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom. — Custom SL × ATR (default 1.5) — Custom TP1/TP2/TP3 × Risk (default 1.0 / 2.0 / 3.0) — Break-Even After TP1 (default on): move SL to entry on TP1. — Show SL/TP Lines / Labels / % Distance : all on by default. — Entry / SL / TP Line Styles : Dotted / Solid / Dashed defaults. 🎨 Visual: — Theme (default Auto) — Trail Color Scheme (default Adaptive Bull/Bear) — try Premium Indigo for a financial-terminal look. — Trail Line Width (default 2) — Trail History Bars (default 0 = all) — Double Trail Line (default on) — Double Trail Offset × ATR (default 0.25) — Show Buy/Sell Labels / Grade / Regime Background / Watermark 📊 Dashboard: — Show Dashboard (default on) — master toggle — Position (default Top Right) — 6 positions available — Trade / Market / Statistics Section toggles 🔔 Alerts: — Webhook JSON Format (default off): plain text or structured JSON. — Alert on TP Hits (default off) — Alert on SL Hit (default on) — Alert on Position Flip (default on) 🔔 ALERTS — 🟢 BUY — ticker, TF, price, SL, TP1/TP2/TP3, R:R, grade, quality score, regime, choppy flag, flip flag — 🔴 SELL — same payload — 🔄 POSITION FLIP — from-direction, to-direction, prior entry, new entry — 🛑 SL HIT — entry, SL price, time — 🛡️ BE STOP-OUT — fires instead of regular SL when break-even was active — 🎯 TP1 / TP2 / TP3 HIT — first-touch only, no duplicate fires — 🛡️ BREAK-EVEN — fires the bar TP1 is reached and SL moves to entry All alerts support plain text and JSON webhook format. All fire bar-close confirmed (alert.freq_once_per_bar_close). ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. Alerts fire once per bar close. The HTF security() call uses the canonical non-repaint pattern (close + ema with lookahead_on), reading the closed HTF bar without future leakage. — 📐 The trail flip is the raw signal source; quality score and filters only suppress, never invent signals. Same-bar SL+TP1 always resolves as a LOSS (conservative bias toward stop). — 📐 Statistics counters are session-scoped — they reset on script reload, input change, or by incrementing the "Reset Stats Counter" input. The Stats section is descriptive, not predictive: past behavior on a chart does not guarantee future behavior on the same chart. — ⚖️ Win = TP1 reached (regardless of how the trade ultimately closed). Avg R assumes 1/3 position partitioned at each TP. These are conventions; your live execution may differ. — 🛠️ This is an analysis tool, not an automated trading bot. It detects trail flips, scores quality, projects SL/TP zones, and tracks outcomes — trade decisions and execution remain yours. — 🌐 Works on all markets and timeframes. Volume-based filters auto-bypass on instruments without volume data (FX). Adaptive multiplier and regime engine scale naturally across symbols. — 📜 Fully open-source Pine v6. Read the code, fork it, adapt it. Feedback and forks welcome.
Pine Script®指标
由WillyAlgoTrader提供
34
Tribulus & Ginseng PowerWhat is Tribulus & Ginseng Power? Tribulus & Ginseng Power is an advanced inter-market macro strategy engine designed to identify institutional trend reversals and liquidity sweeps in high-volatility financial markets. Rather than analyzing an asset in isolation, this algorithm cross-examines live telemetry from three critical pillars of the crypto ecosystem simultaneously to confirm institutional dominance before executing order signals. How the Multiverse Matrix Core Works: The script acts as a command center analyzing three independent algorithmic engines: The Main Asset Engine (M): Evaluates the selected chart using specialized swing detection, price action anomalies (Sushi Rolls), and premium kernel smoothing processes (Monalisa and UT Bot matrices) to find mathematical market exhaustion. The Crypto Total Market Cap Engine (T): Requests live structural data behind the scenes from CRYPTOCAP:TOTAL to track whether global macro capital flow supports the localized trend breakout. The Bitcoin Dominance Engine (D): Interrogates CRYPTOCAP:BTC.D to identify where global risk-on or risk-off sentiment is clustering (Bitcoin vs. Altcoins). The Signal Breakdown Matrix: By analyzing macro matrix alignments, the indicator prints institutional-tier alerts: 💎 PERFECT L: Global capital flows are expanding (TOTAL bullish), Bitcoin dominance matches, and the local chart confirms a bottom. High-probability premium bullish trigger. 🚀 ALT L (Altcoin Rally): Local price points upward while TOTAL cap rises and BTC.D drops, capturing the exact momentum shift where money floods into high-beta altcoins. 🩸 CRASH S: Direct macro distribution model. Major capitals are exiting the ecosystem while charts break local liquidity floors. ⚡ EARLY L / S (Early Macro Alignment): Fires instantly when the global macro telemetry matrices align before the local price reflects it, offering professional early entries before the momentum candle arrives. Optimal Environments & Parameters: Premium Assets: Highly volatile majors (BTC, ETH, high-cap layer-1 protocols) and major indices (NAS100, SPX). Ideal Timeframes: Curated natively for 1-Hour (1h) and 4-Hour (4h) charts for long-form matrix confirmation. Can be scaled down to 15-Minute (15m) charts for intra-day trading. Automation Ready: Configured with a stateful position lifecycle manager fully optimized for WunderTrading, 3Commas, or private server webhook routing. If a counter-signal is triggered, the system automatically executes a Close-First, Open-Next alert sequence to prevent cross-order jams on the exchange.
Pine Script®指标
由lisabyco提供