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Adaptive Regime Momentum [JOAT]Adaptive Regime Momentum Introduction The majority of publicly available trend-following strategies rely on one of two entry mechanisms: a moving average crossover, or a price-versus-MA relationship. These are valid starting points, but they share a common weakness — they fire signals based on a single confirmatory condition that can be triggered by brief, low-conviction price moves. A single bar pushing above a moving average while volume is thin and the MA is barely sloping is not the same market condition as a sustained directional move with volume behind it and a clearly sloping MA. Yet a simple strategy would treat both identically. Adaptive Regime Momentum is a trend-following strategy that requires three independent conditions to align before generating an entry signal. These three layers — MA slope confirmation over multiple consecutive bars, price position relative to the MA, and a volume-based demand filter — must all agree simultaneously. The result is a strategy that generates fewer signals but with higher internal consistency between entry conditions. It is designed for liquid markets on daily or higher timeframes where each component is reliably measurable. This is an overlay strategy — all visuals are plotted directly on the price chart. --- Strategy Properties The following default settings are used for all backtests unless modified: Initial capital: $10,000 Position sizing: 5% of equity per trade Commission: 0.05% per side Pyramiding: 0 (only one open position at a time; new signals are ignored while a position is active) Stop loss: 2.5x ATR below the entry price (long), 2.5x ATR above the entry price (short), calculated from strategy.position_avg_price Take profit: 4.0x ATR above the entry price (long), 4.0x ATR below the entry price (short), calculated from strategy.position_avg_price Trail / slope exit: Position is closed early if price crosses to the wrong side of ComboMA ± 1.5x ATR, or if the MA slope reverses direction The stop and take profit are anchored to strategy.position_avg_price — the actual average fill price of the position — rather than the signal bar's close. This ensures that in backtesting, stop and TP distances are measured from where the trade was actually opened, not from a theoretical signal level. These are backtesting defaults only. They do not represent a recommendation for live trading position sizing or risk management. --- Core Concepts Signal 1 — ComboMA Slope Confirmation (Structural Momentum) The ComboMA is a blend of two moving averages: ALMA (Arnaud Legoux Moving Average) — a smooth MA with reduced lag, fitting to recent price without overreacting to single bars ZLMA (Zero-Lag Moving Average) — a lag-compensated MA designed to reduce the delay between price movement and MA response The two are blended into a single ComboMA value. The slope of this composite is then evaluated not just on the current bar, but across the last N consecutive bars (default: 3). A slope is only confirmed as UP if all of the last 3 bars showed a positive slope. A slope is only confirmed as DOWN if all 3 bars showed a negative slope. A single slope fluctuation — even if the most recent bar shows a positive slope — does not trigger confirmation unless all N bars agree. This multi-bar slope confirmation is the primary mechanism that distinguishes this strategy from a simple MA-based entry. A one-bar slope flip that immediately reverses is filtered out. Only a sustained slope direction triggers the first condition. Signal 2 — Price vs. ComboMA (Real-Time Confirmation) The second condition requires that price is currently on the correct side of the ComboMA: For a long: close > ComboMA For a short: close < ComboMA This condition is evaluated at the current bar, providing real-time confirmation that price is aligned with the structural slope direction. The MA slope could be upward from prior bars, but if price has already pulled back below the MA, the second condition vetoes the entry. Both the historical slope and the current price position must agree. Signal 3 — Volume RSI (Demand Pressure Validation) Volume RSI is RSI applied to raw volume over an 8-bar period, then divided by 50. A result above 1.0 (the default threshold) means the Volume RSI is above 50 — indicating that volume activity on recent bars has been relatively elevated compared to the preceding period. For a long entry: Volume RSI / 50 must exceed the threshold For a short entry: same condition applies Volume RSI does not confirm direction — it confirms participation . A move accompanied by above-average volume has more demand/supply backing than a low-volume drift. When volume is below threshold, the third condition is not met and no entry is generated, even if slope and price position align. RSI Filter An additional RSI filter is applied to the close: RSI(14) must be above 50 for long entries RSI(14) must be below 50 for short entries This acts as a momentum gating condition — confirming that short-term momentum is consistent with the trade direction before entry is permitted. Non-Repainting Execution All entry conditions are gated by barstate.isconfirmed . No signal is generated until the current bar has fully closed. This prevents intra-bar signal flickering and ensures that the backtest accurately represents what would have been traded on confirmed bar closes. --- Exit Logic The strategy uses a layered exit system combining fixed risk-defined targets with adaptive trend exits: Fixed exits (via strategy.exit): Stop loss at 2.5x ATR from entry price Take profit at 4.0x ATR from entry price Trail exits (via strategy.close): Price closes beyond ComboMA ± 1.5x ATR on the wrong side The ComboMA slope reverses (multi-bar confirmation fails in the opposite direction) The trail exit allows winning positions to exit earlier if the trend deteriorates before reaching the fixed take profit, while the fixed TP provides a defined maximum target. The stop loss is the unconditional floor regardless of trail conditions. --- ATR Shadow Visual The chart displays two layers of ATR bands around the ComboMA: Inner band: ComboMA ± 1x ATR Outer band: ComboMA ± 2x ATR These bands give a visual read of how extended price is from the MA relative to recent volatility, and where the trail exit threshold sits (1.5x ATR, between the two bands). They are visual aids only and do not affect strategy logic. --- Performance Table A table is displayed on the chart showing current strategy metrics: Net P&L Open P&L (current unrealized) Win Rate Average winning trade Average losing trade Maximum drawdown Total trades Current position direction Current MA slope status --- Features Three-layer entry confirmation: multi-bar MA slope, price vs. MA, and Volume RSI RSI momentum filter as an additional gating condition ALMA + ZLMA blend for the ComboMA, reducing lag without sacrificing smoothness Multi-bar slope confirmation preventing single-bar slope flickers from triggering entries ATR-based stop and take profit anchored to actual fill price via strategy.position_avg_price Trail exit on slope reversal or price-vs-MA breach Non-repainting: all signals confirmed via barstate.isconfirmed Pyramiding disabled — one position at a time ATR shadow bands for visual context around the ComboMA Live performance table with key metrics --- Input Parameters ALMA / ZLMA settings — length, offset, and sigma for each MA component Slope Confirm Bars (default 3) — consecutive bars of slope agreement required for confirmation Volume RSI Length (default 8) — RSI period applied to volume Volume Threshold (default 1.0) — Volume RSI / 50 minimum for the demand filter RSI Length (default 14) — RSI period for the momentum filter ATR Length — period for ATR used in stop, TP, trail, and visual bands Stop Multiplier (default 2.5) — ATR multiplier for the fixed stop loss TP Multiplier (default 4.0) — ATR multiplier for the fixed take profit Trail Multiplier (default 1.5) — ATR multiplier for the trail exit threshold --- How to Use Apply to daily or higher timeframes on liquid instruments. Volume RSI is most meaningful where volume data is consistent and representative of actual market participation. Allow the chart to load sufficient historical bars before evaluating backtest results. The ComboMA slope confirmation requires multiple bars of agreement, and early bars in the dataset may not reflect the strategy's typical behavior. Aim for at least several hundred bars of data for meaningful backtest statistics. Review the performance table while backtesting to understand average win size relative to average loss, drawdown, and total trade count. A strategy with very few trades may show favorable metrics by chance rather than edge — consider whether the trade count is sufficient to draw conclusions. The default 5% equity position size produces moderate equity curve sensitivity. Smaller sizes will reduce drawdown and return proportionally; larger sizes will amplify both. Commission is set to 0.05% per side (0.1% round trip) by default. Adjust this to match your actual trading costs. Higher commission rates — especially relevant for frequent-trading timeframes — will reduce net results. Do not optimize parameters on the same data you use to evaluate performance. Optimization on historical data produces settings tuned to past noise, not future edge. The trail exit on slope reversal means that strongly trending markets where the MA briefly flattens before resuming may see early exits. This is the tradeoff for using slope as an exit condition. --- Limitations Backtest results are calculated on historical data and do not guarantee future performance. Market conditions change, and a strategy that performed well in a particular regime may perform differently as conditions evolve. The Volume RSI filter requires reliable volume data. This strategy is not recommended for synthetic instruments, CFDs where volume represents contracts rather than underlying market activity, or very short intraday timeframes where volume is fragmented and noisy. On such instruments, the third entry condition may be meaningless or misleading. The multi-bar slope confirmation requirement means the strategy will miss fast, sharp trend initiations where the MA slope has not yet had N bars to confirm. This is a deliberate tradeoff — reducing false entries at the cost of some late entries on fast moves. Pyramiding is disabled. The strategy will not add to winning positions. This limits upside during strongly trending markets where additional entries might be beneficial, but it also limits drawdown from compounding positions that subsequently reverse. ATR-based stops and TPs are fixed at entry. They do not adjust after the trade is open (apart from the trail exit). If volatility expands significantly after entry, a 2.5x ATR stop that was appropriate at entry may become relatively tight. The performance table reflects cumulative backtest results as of the current bar. Results will vary across different lookback windows and instruments. Default capital of $10,000 with 5% equity sizing means each trade risks approximately $500 before the stop is hit (assuming stop is the loss floor). This is a backtesting convention — it is not a recommendation for live account sizing. No strategy produces guaranteed results. The three-layer entry system improves internal signal consistency but cannot eliminate the inherent uncertainty of financial markets. --- Originality Statement Standard MA-based trend strategies treat a single bar's price-vs-MA relationship as sufficient for entry. ARM's primary differentiation is the multi-bar slope confirmation requirement : the ComboMA slope must be consistently positive (or negative) across N consecutive bars before the first condition is met. A one-bar slope deviation — common during consolidations and brief retracements — does not trigger entry. Only a sustained slope direction qualifies. The ComboMA itself is a blend of ALMA and ZLMA, combining the smoothness and Gaussian weighting of ALMA with the lag-compensation of ZLMA. Neither is used in isolation because each has a specific weakness: ALMA can lag on sharp moves; ZLMA can be sensitive to noise. The blend leverages the strengths of both while partially offsetting their weaknesses. The three-layer confirmation architecture — slope duration, price position, and demand validation — requires agreement across genuinely different measurement types: structural momentum over time, current price location, and volume activity. These are not three views of the same quantity. The stop and TP placement using strategy.position_avg_price rather than the signal bar close is a practical accuracy measure: in backtesting, it means risk distances are calculated from the price at which the trade was actually filled, not from where the signal was generated, which can differ from the fill price particularly on gap opens. --- Disclaimer This strategy is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. Backtested results are hypothetical and do not reflect actual trading. Hypothetical performance results have inherent limitations and do not account for execution slippage, liquidity constraints, or the psychological challenges of live trading. All trading involves risk, including the possible loss of principal. Always conduct your own research and consult a qualified financial professional before making any trading or investment decisions. -Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
Gap Fill + Opening Range StrategyWhy this is trending now Right now (especially in US markets): - Markets are opening with large gaps (overnight news, macro tension) - Price often either: - fills the gap - or strongly rejects and trends away Traders are focusing on: gap behavior opening range breakout/reversal early session volatility Strategy Idea This strategy combines: 1. Gap Detection Today’s open vs yesterday’s close 2. Opening Range (first X minutes) Define high & low of early session 3. Reaction Logic Trade: gap fill (mean reversion) or breakout (continuation)
Pine Script® strategy
by AIScripts
Index Futures Position Size CalculatorA simple, free position size calculator for CME index futures. Click Entry, click Stop Loss, pick your asset, get your contract size. That's it. ═══════════════════════════════════ ✦ SUPPORTED INSTRUMENTS MNQ • MES • NQ • ES — all CME tick values hardcoded. ═══════════════════════════════════ ✦ FEATURES → One-click Entry & Stop Loss directly on chart → Auto 1-handle SL buffer (protects against wick hunts) → Asset dropdown — no manual tick value entry → Custom rounding (≥0.75 rounds up, else down) → Green Entry / Red SL lines with price labels → Clean black-on-white size panel, top right ═══════════════════════════════════ ✦ HOW TO USE Add to chart → click Entry → click Stop Loss Settings → pick asset, enter Account Size & Risk % Read your size from the top-right panel ═══════════════════════════════════ ✦ TIP If you're trading a funded challenge, here are two clean ways to use this tool with your max loss limit: Method 1 — Loss budget split Decide how many consecutive losses you can take before you're out. Divide your max loss by that number, and use the result as your "Account Size" with Risk % at 100. Example: $2,000 max loss ÷ 5 losses = $400 per trade → Account Size: $400 | Risk %: 100 Method 2 — Direct percentage Enter your full max loss as Account Size and set Risk % to your per-trade percentage. Example: $2,000 max loss, risking 20% per trade → Account Size: $2,000 | Risk %: 20 Both give the same result — pick whichever feels more natural. ═══════════════════════════════════ ✦ A NOTE FROM THE AUTHOR Built with Claude AI for my own daily trading. Sharing it free because clean tools shouldn't be locked behind paywalls. 100% free. 100% open source. No Discord, no course, no affiliate links, nothing to buy. Copy it, modify it, republish your own version — it's yours. ═══════════════════════════════════ ✦ DISCLAIMER Educational tool only. Not financial advice. Futures trading carries substantial risk of loss. Always verify calculations against your broker's parameters before trading. Built with ❤️ by REDz & Claude
Pine Script® indicator
by Green_Room
Event Study: Forward Returns Analyzer After Price ShockEvent Study – Forward Returns Analyzer identifies historical price shocks on any asset and measures forward performance across four calendar horizons: 1, 3, 6, and 12 months after the event. Define a drop threshold and the indicator automatically detects every qualifying session, logs the date and magnitude of the shock, then tracks the exact price 1, 3, 6, and 12 calendar months later — using timestamp arithmetic rather than bar counts, so results are precise regardless of trading day variations, holidays, or timeframe used. What you get: A paginated event table with every shock dated and color-coded, plus a persistent statistics panel showing Average, Median, Win Rate, Skewness, Max Drawdown, and Sharpe Ratio across all four horizons — always calculated on the full filtered sample, regardless of which page you're viewing. Sample controls: - Start From Year: focus the analysis on a specific regime, ignoring older history - Exclude Month / Year: surgically remove structural outliers from the sample (e.g. April 2020 for crude oil futures NYMEX:CL1! ) Designed for: macro researchers, cross-asset analysts, and systematic traders who want to quantify how an asset historically behaves in the weeks and months following a sharp sell-off. Works on any daily chart. No repainting. No bar-count approximations.
Pine Script® indicator
by pcingari
Volatility Expansion + Fake Breakout StrategyThis strategy focuses on one simple market behavior: price doesn’t just break ranges randomly, it expands with strength, and weak breakouts often fail. Instead of chasing every breakout, the logic waits for volatility expansion and filters out weak moves that usually trap traders. At its core, the system observes the market’s recent range and volatility. When price compresses for a period, it builds energy. The strategy measures this using Average True Range (ATR). When ATR rises above its recent average, it signals that the market is entering an expansion phase, meaning movement is likely to accelerate. How the Logic Works First, the strategy defines a rolling range using recent highs and lows. This acts as a reference zone where price has been consolidating. Next, it monitors for a breakout: A move above the range high A move below the range low But not every breakout is treated equally. Filtering Fake Breakouts One of the biggest problems in trading is getting trapped in false breakouts. To avoid this, the strategy checks for candle strength: For bullish moves: The candle must close strongly above the previous high, showing real buying pressure. For bearish moves: The candle must close strongly below the previous low, indicating genuine selling pressure. If the breakout happens without this strength, the trade is ignored. Entry Conditions A trade is only taken when all conditions align: Volatility is expanding (ATR is rising) Price breaks the range The breakout candle is strong and decisive This combination helps avoid low-quality entries and focuses only on high-momentum moves. Risk Management Approach Every trade uses a structured risk model: Stop loss is based on ATR, adapting to current market volatility Take profit is calculated using a risk-to-reward ratio Position sizing is consistent as a percentage of capital This keeps the strategy stable across different market conditions instead of relying on fixed pip or point values. Why This Approach Works Markets often move in cycles: Quiet consolidation Volatility compression Sudden expansion This strategy is built specifically to catch the third phase, where price moves quickly and directionally. By combining volatility expansion with breakout strength, it avoids common traps and focuses on movements that actually have momentum behind them. Final Thought This isn’t about predicting direction blindly. It’s about waiting for structure, strength, and volatility to align before acting. If you apply this approach with discipline, it naturally reduces overtrading and improves decision quality, which is often more important than chasing every opportunity.
Pine Script® strategy
by AIScripts
TrueMove: Council of 7 Schools [TechnicalZen]A Decision Support System for Risk Management. Imagine seven analysts — each a specialist in a different discipline — studying the same price chart simultaneously. One reads volume flow. Another scores multi-factor confluence. A third measures Wyckoff effort dynamics. A fourth compares wave speed and amplitude. A fifth tracks volume-weighted momentum. A sixth applies adaptive Kalman filtering. A seventh learns patterns from the instrument's own history using machine learning. Each arrives at their own independent conclusion. Then they vote. This is what this indicator does. Seven academically grounded analytical Schools, each examining price action through a fundamentally different lens, casting independent votes on market direction. The result is not a prediction — it is a decision support system designed to help traders manage risk with confidence. The core question it answers: "Is this move real, or is it a trap?" When the council reaches consensus, you trade with conviction. When it doesn't, you wait. The strength of this system is not in any single School — it is in the convergence of independent perspectives. A move confirmed by volume flow, momentum, wave dynamics, and machine learning simultaneously carries fundamentally different weight than a move flagged by one method alone. This is risk management through structured consensus. Not a black box. Not a single signal line. A council of seven independent minds, each with a transparent methodology, each with a tracked hit rate, each accountable for its calls. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The System The indicator operates on three layers: Signal Layer — Seven independent Schools analyze price action using different methodologies. Each votes Bull or Bear when its conditions are met. Council Layer — Votes are aggregated. In "2+ Agree" mode, a signal fires only when two or more Schools vote in the same direction within a 3-bar window. In "All Signals" mode, any School's vote fires a signal. Visual Layer — POC lines (anchored VWAP), EVWAP (exponentially weighted VWAP), risk/reward boxes, and direction labels present the council's verdict on the price chart. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Council The council aggregates school votes using a configurable consensus mechanism: "2+ Agree" Mode — Requires two or more enabled Schools to vote in the same direction within a 3-bar window. This is the conservative mode. Fewer signals, higher conviction. If only one School is enabled, it automatically drops to requiring just that one vote. "All Signals" Mode — Any enabled School's vote fires a signal. This is the aggressive mode. More signals, lower filtering. Useful for seeing what each School detects independently. Conflict Resolution — If bull and bear votes arrive on the same bar, the direction with more votes wins. If tied, bull wins (consistent tie-breaking). Cooldown — Separate bull and bear cooldowns prevent signal spam in the same direction while allowing quick reversals when the market genuinely flips. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The 7 Schools Each School uses a fundamentally different analytical approach. They are designed to be independent — a signal from one School does not depend on or duplicate another. School 1: OBV Flow What it sees: Volume flow divergence and acceleration Detects when On-Balance Volume diverges from price (hidden buying or selling pressure) and when volume flow is accelerating in a direction supported by market structure. School 2: Confluence What it sees: Multi-factor agreement across independent indicators Triggers when RSI exits oversold (bull) or crosses below the momentum midline (bear) in a trending market. Scores seven independent factors and requires four or more to agree. School 3: Wyckoff What it sees: Effort vs Result on pullbacks, plus trap events Measures whether pullback volume is declining relative to pre-pullback volume (Wyckoff effort), whether the bounce bar shows commitment (result), and detects Spring and Upthrust events — false breakdowns and breakouts that trap weak hands. School 4: Amplitude Strength What it sees: Wave dynamics — speed, time, and volume at swing points Compares consecutive swing waves: is the trend wave faster than the pullback? Is the pullback shorter in time? Is volume declining at successive swing lows (or highs)? Is momentum oversold (or overbought) at the swing point? Scores seven wave-quality factors. School 5: VWMA Delta What it sees: Volume-weighted momentum crossing fair value Computes the difference between short-term and long-term Volume Weighted Moving Averages, smooths it with RMA, and fires when this delta crosses zero. Volume is built into the measurement itself — not added as a secondary filter. School 6: Kalman Filter (LQE) What it sees: Adaptive filtered trend crossover Applies two Kalman filters (Linear Quadratic Estimator) to price at different speeds. The short filter crossing above or below the long filter signals a trend shift. The Kalman filter adapts its responsiveness automatically based on estimation uncertainty. School 7: Naive Bayes (Adaptive) What it sees: Learned patterns in raw price action DNA A machine learning classifier that observes six raw features no other School uses: body trend, wick dominance, price percentile, volatility regime, momentum acceleration, and gap behavior. It builds Gaussian probability profiles from resolved outcomes and votes when its confidence exceeds 65% in either direction. This School learns and adapts to the specific instrument and timeframe over time. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ School Rules — Complete Reference School 1: OBV Flow (5 rules) Price at/near 20-bar low (within 5% of range) — bull trigger OBV well above its 20-bar low (>15% of OBV range) — divergence detection OBV above its SMA(20) — volume flow trend confirmation OBV slope accelerating (current 5-bar slope > previous) — momentum Bull structure (higher lows) confirmed — structural context Bear: symmetric mirror of all conditions School 2: Confluence (9 rules — 2 trigger + 7 scored, need 4/7) Trigger: RSI crosses above 30 (bull) or below 50 (bear) Trigger gate: ADX ≥ 20 + price on correct side of EMA Score: ADX ≥ 25 (strong trend) Score: Bull/bear structure confirmed Score: Price above/below SMA(50) (longer-term trend alignment) Score: MACD line vs signal agreement Score: Price touched EMA in last 2 bars (level test) Score: Volume above average Score: Candle body ratio > 50% School 3: Wyckoff (9 rules — 7 standard + 2 trap events) EMA cross initiates pullback tracking Pullback duration ≥ 3 bars Average pullback volume < pre-pullback average volume (declining effort) OR average body ratio < 0.45 during pullback (narrow bars) Bounce bar body ratio > 50% (strong commitment) Bounce bar volume > pullback average volume (expanding effort) EMA cross back confirms resolution Spring: price breaks below previous swing low, closes back above with volume Upthrust: price breaks above previous swing high, closes back below with volume School 4: Amplitude Strength (7 scored, need 4/7) Bull/bear structure confirmed Trend wave amplitude > 0.8 ATR (bull: up-wave, bear: down-wave separately) Trend wave speed > pullback speed (impulsive move, not grinding) Pullback duration < trend wave duration (quick correction) Current pullback shallower than previous (< 1.2x) Current swing volume < previous swing volume (swing-to-swing comparison) RSI < 40 at swing low (bull) / RSI > 60 at swing high (bear) School 5: VWMA Delta (1 rule) RMA(30) of VWMA(5) minus VWMA(30) crosses zero School 6: Kalman Filter LQE (1 rule) Kalman filter (length 50, R=0.01, Q=0.10) crosses above/below Kalman filter (length 100) School 7: Naive Bayes Adaptive (6 features + confidence threshold) Feature: 3-bar body trend (growing or shrinking candle bodies) Feature: Wick dominance (upper vs lower wick ratio — rejection direction) Feature: Price percentile in 20-bar range (position within recent range) Feature: Volatility regime (ATR vs its SMA — expanding or contracting) Feature: Momentum acceleration (bar-to-bar price change speeding up or slowing) Feature: Gap behavior (open vs previous close, ATR-normalized) Threshold: P(bull) ≥ 65% to vote bull, P(bull) ≤ 35% to vote bear Requires minimum 15 resolved samples before voting ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ How the Schools Differ Schools 1 & 5 are volume-driven — they measure where money is flowing, not where price is moving. Schools 2 & 4 are multi-factor scoring systems — they require multiple conditions to align before voting, reducing false positives. School 3 is event-driven — it detects specific Wyckoff structural events (springs, upthrusts, effort exhaustion) rather than continuous measurements. School 6 is filter-driven — it uses an adaptive mathematical estimator that adjusts its own responsiveness based on estimation uncertainty. School 7 is the only School that learns — it builds its model from the instrument's own history and adapts over time. Every other School uses fixed rules. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Voting System Each School votes independently. Votes are collected within a 3-bar window — Schools do not need to fire on the exact same bar to count as agreeing. This accommodates the fact that different analytical methods detect events at slightly different times. The dashboard shows each School's most recent vote using directional emojis and colors the School name green (bull vote) or red (bear vote) when it participated in the last signal. Schools are sorted by recency — the most recently active School appears at the top of the list. The Hit Rate column shows each School's accuracy when it participated in council signals — how often signals were correct when that School voted. This is not standalone accuracy; it measures performance within the council context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ POC Lines (Anchored VWAP) Three dashed lines that represent volume-weighted fair value since the last extreme volume event: Center — the anchored VWAP: where volume-weighted price has centered since the last climax event Upper and Lower — standard deviation bands that start at the same point as the center (origin) and branch outward as price disperses The POC re-anchors when a volume extreme is detected (volume z-score exceeds the threshold with a directional candle). All three lines converge to a single origin point at the climax bar, then branch as the new VWAP accumulates data. The line closest to price is highlighted with increased width and brightness. When the council signals a direction and price subsequently moves against it (crossing the POC center in the wrong direction for 3+ bars), the highlighted line changes color — red for a failed bull signal, green for a failed bear signal. This failure detection provides immediate visual feedback that the anticipated move did not materialize. Hull smoothing can be applied to the POC lines for cleaner visual tracking. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EVWAP (Exponentially Weighted VWAP) A solid line that tracks volume-weighted fair value with exponential decay, re-anchoring at swing direction changes: Uses the same Exponentially Weighted Moving Average formula as the DS-VWAP methodology Re-seeds at swing pivot points detected by the swing period setting Volume spikes are capped at 3x the 20-bar average to prevent single bars from hijacking the calculation Changes color based on swing direction — bull color when the most recent swing high is more recent, bear color when the most recent swing low is more recent Direction change triangles mark where each new segment begins Hull smoothing can be applied for a cleaner line. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Cyclic Structure: POC within EVWAP The POC and EVWAP operate on different cycles and anchor to different events: EVWAP re-anchors on swing direction changes (structural pivots in price). It represents the macro fair value — where the broader trend says price should be. POC re-anchors on volume extreme events (climax bars). It represents the micro fair value — where volume clustered after the last burst of aggressive participation. These cycles are not synchronized. A volume climax can happen mid-swing. A swing pivot can happen without a volume extreme. When both re-anchor near the same bar, that is a structurally significant event — both macro and micro fair value are resetting simultaneously. The POC lines oscillate within the EVWAP framework. When the POC center is above the EVWAP line, volume-weighted activity is biased above the structural trend — bullish pressure. When below, bearish pressure. This relationship provides a dynamic reading of whether short-term volume activity agrees with the broader trend direction. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Risk/Reward Boxes When a signal fires, two boxes are drawn: Green box (above entry for bull, below for bear) — the take-profit zone at 2:1 risk-reward ratio Red box (below entry for bull, above for bear) — the stop-loss zone at 0.5 ATR from the signal bar's extreme Boxes extend 15 bars forward Higher vote counts produce slightly more opaque boxes (stronger conviction = more visible) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Hit Rate and Accuracy Tracking The indicator tracks signal accuracy using Maximum Favorable Excursion (MFE): After each signal, the tracker monitors the next 12 bars If price reaches 0.5 ATR in the signal direction at any point during those 12 bars (using the bar's high for bull signals, low for bear signals), the signal is marked correct This is not a close-at-bar-12 check — it measures whether the move occurred , not whether it held The dashboard displays: Per-School Hit Rate — accuracy when that School participated in the council signal Council Accuracy — overall accuracy across all evaluated signals Signals — evaluated count vs total fired (signals during an active evaluation window are not double-counted) Naive Bayes Learning — current status and class distribution of the adaptive learner ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Visual Aesthetics The indicator is designed for visual clarity on dark-themed charts: POC lines — dashed, in a distinct blue tone, with the tracked line highlighted at double width EVWAP line — solid, colored by swing direction (bull/bear), with direction triangles at segment starts Climax circles — small colored dots marking extreme volume events, no glow clutter Signal labels — directional arrows with vote counts (e.g., "↑ Up (3/7)") Dashboard — Schools sorted by recency of last vote, with bull/bear emojis and color-coded names. Schools that voted in the most recent signal appear at the top and light up in the direction color. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Key Settings Council Behavior — "2+ Agree" (consensus) or "All Signals" (any School) Signal Cooldown — Minimum bars between same-direction signals (default 30). Opposite-direction signals are not blocked. School Toggles — Enable or disable each of the 7 Schools independently. POC/EVWAP Smoothing — Raw or Hull smoothed. Hull length configurable. Swing Period — Controls EVWAP re-anchoring sensitivity (default 55). Volume Lookback — Bars analyzed for climax detection and volume statistics. NB Min Samples — Minimum resolved outcomes before the Naive Bayes School starts voting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument. All trading involves risk. Past performance of any signal, voting system, or analytical method does not guarantee future results. The council votes, hit rates, and accuracy statistics displayed represent computational assessments based on the indicator's rules applied to historical data loaded in TradingView. They are not predictions and should not be treated as certainties. The Naive Bayes School learns from the chart data currently loaded. Its learned patterns may not generalize to future market conditions, different instruments, or different timeframes. The hit rates displayed in the dashboard reflect performance on the loaded chart history only and are subject to survivorship bias, lookback bias, and data limitations inherent to backtesting on historical bars. No indicator, algorithm, or model — regardless of how many independent methods it combines — can account for all market variables including liquidity events, news-driven gaps, exchange outages, dark pool activity, or sudden regime changes. Traders should always use independent risk management, position sizing, and their own judgment before entering any trade. By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
Pine Script® indicator
by TechnicalZen
1
Range Compression and Expansion StrategyWhat This Strategy Focuses On Markets don’t move randomly all the time. They often alternate between quiet phases (low volatility, tight candles) and expansion phases (strong directional moves). This strategy is built around that idea. It identifies periods where price is compressed into a tight range and waits for a confirmed breakout before entering a trade. How It Works 1. Detecting Compression The script measures volatility using ATR. When ATR drops below its recent average, the market is considered compressed This usually means price is building up for a move Instead of relying on indicators like Bollinger Bands, this uses pure volatility contraction + price structure. 2. Defining the Range During compression, the script tracks: Highest high (resistance) Lowest low (support) This creates a clear structure zone. 3. Expansion Breakout Trades are triggered when price breaks out of that range: Break above range → potential bullish expansion Break below range → potential bearish expansion Only confirmed breakouts are considered. 4. Risk Management The strategy uses ATR for exits: Stop-loss adapts to volatility Take-profit is based on a fixed risk-to-reward ratio This keeps behavior consistent across different markets. Key Characteristics Focuses on volatility shifts (calm → expansion) Uses structure instead of indicator-heavy logic Works on crypto, forex, and stocks Designed for testing and refinement When It May Work Better Before strong trending moves During breakout phases After long consolidation periods It may produce fewer signals in already trending markets. Important Note This script is for testing and educational use. Results depend on market conditions and settings. Always test across multiple assets and timeframes. If you want to push this further You can upgrade this idea by adding: trend filter (EMA or HTF bias) volume spike confirmation session-based filtering fake breakout detection
Pine Script® strategy
by AIScripts
Sovereign Execution [JOAT]Sovereign Execution Introduction Sovereign Execution is an open-source multi-layer trading strategy that synthesizes five independent analytical engines into a unified execution framework. Rather than relying on a single indicator or a simple crossover, this strategy requires alignment across regime classification, momentum displacement, session timing, imbalance confluence, and multi-timeframe bias scoring before any trade is taken. The result is a highly selective system that filters out low-conviction setups and only enters when multiple independent analytical dimensions agree. The strategy uses ATR-based adaptive stop-losses, configurable risk-reward ratio targets, optional trailing stops, and multiple exit conditions including regime flips and opposite displacement detection. It is designed for traders who want a systematic, rules-based approach to execution with full transparency into every decision the system makes. Why This Strategy Exists Most trading strategies suffer from one of two problems: they are either too simple (single-indicator entries that generate excessive noise) or too complex (dozens of conditions that are impossible to understand or debug). Sovereign Execution occupies the middle ground by using exactly five analytical layers, each addressing a different aspect of market conditions: Regime Cipher: Is the market trending or compressing? Only trade in trending regimes. Displacement Lens: Is there institutional momentum right now? Only enter on confirmed displacement. Session Filter: Is the market in an active trading session? Avoid low-liquidity periods. Imbalance Confluence: Is there a Fair Value Gap nearby? Optional confirmation of institutional interest. Confluence Ledger: Do multiple timeframes agree on direction? Only trade when the score exceeds the threshold. Each layer acts as an independent filter. A trade only fires when ALL active filters align simultaneously. This multi-gate approach dramatically reduces false signals compared to single-indicator strategies. Module 1: Regime Cipher — Trend and Volatility Classification The regime engine uses an Outlier-Resistant Moving Average (ORMA) as its foundation. The ORMA applies a square-root transformation to price, calculates a base moving average (configurable: EMA, SMA, RMA, WMA, HMA, DEMA, or TEMA), then applies a volatility-dampening filter using the ratio of full ATR to half-period ATR. This creates a moving average that is responsive to genuine trend changes but resistant to outlier spikes. ATR-based bands are drawn above and below the ORMA. When price closes above the upper band, the regime is classified as Trending Bull. When price closes below the lower band, Trending Bear. The strategy also monitors Bollinger Band width relative to its 50-bar average to detect compression (BB width below 85% of average) and expansion (above 110%). The key rule: the strategy only takes trades when the regime is Trending (not Compressed or Transitional). This single filter eliminates the majority of choppy, range-bound conditions where most strategies bleed money. Module 2: Displacement Lens — Momentum Timing The displacement engine normalizes three momentum oscillators (Bollinger %B, CCI, ROC) to a scale and blends them with a volume-weighted candle body analysis. The composite is smoothed with an EMA and compared against adaptive threshold bands calculated from the signal's own standard deviation. A "strong bull displacement" occurs when the composite exceeds the upper threshold — meaning momentum, volume, and candle structure all confirm bullish institutional activity. Strong bear displacement is the mirror condition. The strategy only enters when displacement confirms the regime direction. Module 3: Session Filter Trading sessions are defined by UTC hour ranges (configurable for Asia, London, and New York). When the session filter is enabled (default), the strategy only takes trades during active sessions. This avoids entries during low-liquidity periods (overnight gaps, holiday hours) where spreads widen and price action is unreliable. The session filter is optional — it can be disabled for instruments that trade 24/7 with consistent liquidity (e.g., major crypto pairs). Module 4: FVG Confluence (Optional) When enabled, the strategy scans the last 10 bars for Fair Value Gaps in the entry direction. A bullish FVG (gap up in price delivery) near the entry confirms institutional buying interest. A bearish FVG confirms selling interest. This filter is optional (default off) because not all valid setups occur near FVGs, but when enabled, it adds an additional layer of institutional confirmation. Module 5: Confluence Score — Multi-Timeframe Bias Gate The strategy calculates a simplified confluence score combining trend alignment, momentum, volatility state, market structure, and volume conviction on the current timeframe, then blends it with a higher timeframe score (default 4H) at a 40/60 weighting (HTF gets more weight). The score is mapped to 0-100. Long entries require the score to exceed the long threshold (default 60). Short entries require the score to be below the short threshold (default 40). This ensures the strategy only trades when multiple analytical dimensions across timeframes agree on direction. Entry Conditions A long entry requires ALL of the following simultaneously: Regime is Trending Bull (price above upper ORMA band, not compressing) Confluence score >= long threshold (default 60) Strong bullish displacement (composite above adaptive threshold) Active session (if session filter enabled) Recent bullish FVG (if FVG filter enabled) Bar is confirmed (barstate.isconfirmed — no intrabar entries) Short entries require the bearish mirror of all conditions. Edge detection ensures each signal fires only once — no repeated entries on the same setup. Risk Management Stop-Loss: ATR-based adaptive stop calculated as ATR(14) multiplied by the stop multiplier (default 1.5). For longs, the stop is placed below the entry price by this distance. For shorts, above. This means the stop automatically adapts to the instrument's current volatility — wider stops in volatile markets, tighter stops in calm markets. Take-Profit: Calculated as the stop distance multiplied by the reward-risk ratio (default 2.0). A 1.5 ATR stop with a 2.0 R:R produces a 3.0 ATR take-profit target. Trailing Stop: When enabled (default), the stop is trailed upward (for longs) or downward (for shorts) using the trail ATR multiplier (default 2.0). The trail only moves in the favorable direction — it never moves against the position. Exit Conditions Beyond the TP/SL levels, the strategy has two additional exit conditions: Regime Flip: If the regime changes from Trending Bull to Trending Bear (or vice versa), or enters Compression, the position is closed immediately. The thesis for the trade no longer holds. Opposite Displacement: If strong displacement fires in the opposite direction of the trade, the position is closed. Institutional momentum has shifted against the position. Default Strategy Properties These are the exact values used in the strategy's Properties dialog: Initial Capital: $100,000 — a realistic account size for the average trader Default Quantity: 5% of equity per trade — conservative position sizing Commission: 0.04% per trade (round-trip 0.08%) — realistic for most exchanges Slippage: 2 ticks per order — accounts for execution delay and spread Pyramiding: 0 — only one position at a time Calc on Every Tick: false — entries only on bar close for realistic execution These settings are intentionally conservative. The commission and slippage values are included to produce realistic backtesting results. Traders should adjust these values to match their specific broker/exchange conditions. Visualization Regime MA: The ORMA line plotted with a glow effect (crisp line + transparent wider line) colored by trend state — teal for bullish, rose for bearish, gray for neutral ATR Bands: Upper and lower bands showing the regime breakout thresholds SL/TP Levels: When a position is active, the stop-loss (red), take-profit (green), and entry price (gray) are plotted as horizontal lines Gradient Candles: Candles colored by the confluence score — transitioning from bearish rose (low score) to bullish teal (high score) Session Background: Subtle amber tint when an active session is in progress 10-Row Dashboard Row 1: Header — "SOVEREIGN EXECUTION" Row 2: Regime — TREND LONG / TREND SHORT / COMPRESSED / TRANSITIONAL Row 3: Displacement — BULL DISP / BEAR DISP / NEUTRAL Row 4: Session — ASIA / LONDON / NEW YORK / OFF-SESSION Row 5: Confluence — Score value + bias classification Row 6: Volatility — EXPANDING / COMPRESSED / NORMAL Row 7: Position — LONG / SHORT / FLAT Row 8: Entry — Entry price when in a trade Row 9: Stop — Current stop-loss level Row 10: Target — Current take-profit level Input Parameters Execution Parameters: Risk Per Trade % (default 1.5) — percentage of equity risked per trade Reward:Risk Ratio (default 2.0) — take-profit as multiple of stop distance ATR Stop Multiplier (default 1.5) — stop distance as ATR multiple Use Trailing Stop (default on), Trail ATR Multiplier (default 2.0) Entry Filters: Confluence Threshold Long (default 60) — minimum score for long entries Confluence Threshold Short (default 40) — maximum score for short entries Require Active Session (default on) Require FVG Confluence (default off) Regime Cipher Parameters: Adaptive MA Length (default 27), ATR Length (default 14), ATR Factor (default 1.05) Base MA type (default EMA, options: RMA/SMA/EMA/WMA/HMA/DEMA/TEMA) Displacement Parameters: BB Length (20), BB Multiplier (2.0), CCI Length (23), ROC Length (50) Displacement Smoothing (default 5) Session Filter (UTC): Asia Start/End (0/8), London Start/End (8/14), NY Start/End (14/21) Strategy Limitations and Compromises Every strategy involves design compromises. Here are the key ones for Sovereign Execution: Selectivity vs Frequency: The multi-gate filter approach produces fewer trades than single-indicator strategies. On some instruments/timeframes, the strategy may go days without a signal. This is by design — it prioritizes quality over quantity — but it means the strategy needs sufficient historical data to produce a meaningful sample size. Regime Lag: The ORMA-based regime classification has inherent lag. It will not catch the exact top or bottom of a trend. The strategy enters after the trend is confirmed, which means it misses the first portion of moves. Session Filter Limitation: The UTC-based session filter works well for forex and indices but may need adjustment for instruments with non-standard trading hours. Crypto traders may want to disable the session filter entirely. Single Timeframe Execution: While the confluence score incorporates HTF data, entries and exits are executed on the chart's timeframe. Very fast timeframes (1m) may produce noisy signals despite the filters. Backtesting Caveats: All backtesting results are historical and do not guarantee future performance. The strategy uses calc_on_every_tick=false and barstate.isconfirmed to produce realistic entries, but real-world execution will always differ from backtesting due to slippage, partial fills, and latency. No Guarantee of Profitability: This strategy is a systematic framework, not a profit guarantee. Market conditions change, and strategies that worked historically may underperform in different regimes. Recommended Usage Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for most reliable signals Test on the 15m to 4H timeframe range — these provide enough bars for the regime and displacement engines while maintaining meaningful session context Ensure the backtest produces at least 100 trades for statistical significance before drawing conclusions Adjust commission and slippage to match your specific broker/exchange Consider the strategy as one component of a broader trading plan, not a standalone system Originality Statement This strategy is original in its multi-layer filter architecture. While individual components (moving averages, momentum oscillators, session filters) are established concepts, this strategy is justified because: It synthesizes five independent analytical engines (regime classification, displacement measurement, session timing, imbalance confluence, multi-TF scoring) into a unified execution framework where ALL must align for entry The ORMA-based regime engine uses a volatility-dampened, outlier-resistant moving average with ATR bands — not a standard MA crossover The displacement engine normalizes three oscillators and blends them with volume-weighted candle body analysis for institutional-grade momentum confirmation The confluence score combines five analytical dimensions with HTF weighting, producing a quantitative bias gate rather than a subjective assessment Multiple exit conditions (regime flip, opposite displacement, trailing stop, TP/SL) provide layered risk management beyond simple stop-loss The strategy uses realistic default settings (commission, slippage, position sizing) and documents all Properties values for transparent backtesting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtesting results shown are historical and do not guarantee future performance. The results of a single backtest run do not constitute proof that the strategy will be profitable in the future. Market conditions change, and strategies that performed well historically may underperform or lose money in different market environments. The default settings (commission 0.04%, slippage 2 ticks, 5% equity per trade, $100,000 initial capital) are designed to produce realistic results. Users should verify these match their trading conditions and adjust accordingly. Always use proper risk management. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
SL / TP ProjectorOverview This indicator is a real-time risk-management tool designed to help traders maintain strict discipline. Instead of calculating exit levels manually, this script projects a mathematical "blueprint" of your potential trade directly onto the chart. It calculates Stop Loss (SL) and Take Profit (TP) levels dynamically based on your specific account equity, risk tolerance, and position size. This indicator does not provide buy or sell signals; rather, it acts as projections that follows the current price, showing you exactly where your exit orders should sit to satisfy your risk management rules if you were to enter a trade at the current market price. The Perfect Companion for TradingView Order Presets This script is highly effective when used in tandem with TradingView’s Order Presets . By visualising the risk boundaries first, you can ensure your order presets (set in the Trading Panel) align with the technical structure of the market (e.g., placing a stop behind a swing high/low) before executing. Core Functionality The script automates the complex math required for professional position sizing: Dynamic Risk Calculation: Converts a percentage of your total account balance into a fixed dollar amount at risk. Contract-to-Tick Scaling: Uses instrument-specific point values (e.g., $5 per tick on ES or $10 on GC) to translate your dollar risk into precise price coordinates. Visual Projections: Stop Loss represents the "Invalidation Point" based on your Risk %; Take Profit is calculated using a user-defined Reward-to-Risk (R:R) ratio. How to Use Configuration: Enter your current account balance and the number of Contracts you intend to trade in the settings. Define Risk Parameters: Set your preferred Risk % per trade (e.g. 1%) and your target Reward Ratio (e.g. 2.0 for a 2:1 trade). Toggle Direction: Use the dropdown menu to switch between Long and Short projections. Analyse & Execute: Observe the projections as they move with the price. Use these levels to inform your limit orders or to adjust your TradingView’s Order Presets for a "one-click" bracket entry. Trading Utility Pre-Trade Validation: Quickly see if a 1% risk stop-loss is too tight for the current volatility before entering. Prop Firm Compliance: Ideal for traders who must strictly adhere to maximum daily loss or per-trade risk limits. Cognitive Efficiency: Reduces "mental math" fatigue, allowing you to focus on price action and execution. Disclaimer This script is a calculation tool and does not provide financial advice or trade signals. Trading involves significant risk. Ensure you test your risk settings in a paper trading environment before live execution.
Pine Script® indicator
by HammerCandle
Quantum Scalper 5MWelcome to the Quantum Scalper 5M, a highly precise, confluence-based reversal indicator designed specifically for lower timeframes. Unlike traditional indicators that generate signals on simple crossovers, this system is built on a strict "Touch & Reject" logic, filtering out market noise and focusing only on high-probability reversal zones. 🔥 Core Philosophy: The Power of Triple Confluence A signal is ONLY generated when price simultaneously interacts with three independent technical components. It must "touch/wick" the extreme levels of all three components and strictly "close" inside them, confirming a valid rejection. Support & Resistance (SR): Dynamic lookback-based structure levels. Bollinger Bands (BB): Volatility-based standard deviation bands. Quantum Trend Flow (QTF): An advanced ATR and Volatility-based dynamic channel. ⚙️ Key Features: Strict "Touch & Reject" Logic: Buy signals appear only when the low of the candle touches the lower BB, lower QTF, and Support, while the close remains above them. Sell signals require the exact opposite at resistance zones. Dynamic Risk/Reward (RR) Boxes: Once a signal is triggered, the indicator automatically draws a real-time Risk/Reward box (Default: 0.5% SL, 1.0% TP). These boxes dynamically extend to the right with every new candle until the Take Profit or Stop Loss is explicitly hit, acting as a visual trade journal on your chart! Multi-Timeframe (MTF) Trend Filter: An optional built-in higher timeframe filter ensures you are only taking scalp trades in the direction of the macro trend. Momentum & Trend Dashboard: A clean, non-intrusive dashboard displays the current MTF Trend status, RSI-based Momentum strength (Strong/Weak Bull or Bear), and the last active signal. Clean Visuals: By default, the complex bands and channels are hidden to keep your chart perfectly clean. You only see what matters: Price action, strict signals, and your dynamic RR boxes. 📊 How to Use: Timeframe: Optimized for 5-minute (5M) and 15-minute (15M) charts. Markets: Highly effective on Crypto, Forex, and Indices with decent volatility. Risk Management: The dynamic RR boxes are visual guides. Always use hard stop losses in your actual exchange terminal. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always backtest strategies before using real funds.
Pine Script® indicator
by sohaibnori
5
Smart Reversal EntrySmart Reversal Entry Smart Reversal Entry is an open-source reversal-entry indicator built around one specific analytical idea: after a short, directional three-candle expansion move, the first confirmed candle closing back in the opposite direction can create a structured reversal-entry opportunity when it appears in the correct EMA context. This script is not designed to mark every bullish or bearish candle, and it is not intended to behave like a generic trend-following overlay, a standard candlestick-pattern indicator, or a broad “signal generator” that reacts to every small reversal. Its purpose is to measure short-term directional exhaustion in a standardized way, filter that move through an EMA context, require close-confirmed reversal behavior, and then project a fixed-risk trade structure directly on the chart for analysis and review. The script also includes an internal background optimizer and review tables so users can compare how the same reversal framework behaves under different parameter combinations. These review tools are included to support study and comparison, not to imply future performance. OPEN-SOURCE NOTE This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish. Even though the code is open, this description is intentionally detailed because many TradingView users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line. OVERVIEW At a high level, the script does six things: 1. It measures whether the last three candles produced a directional move large enough to matter in pip terms. 2. It checks whether price is positioned on the correct side of a selected EMA filter. 3. It requires the current candle to close in the opposite direction as confirmation of a possible reversal. 4. It maps a fixed stop-loss and a selectable take-profit multiple directly onto the chart. 5. It tracks projected trade outcomes and summarizes them in a review table and a daily PnL table. 6. It runs a hidden background optimizer over multiple EMA and move-threshold combinations so the user can compare the current settings to an internal parameter sweep. The script is therefore meant to function as a complete reversal-entry and review framework rather than as a single-purpose candle-pattern marker. CORE IDEA Many reversal-style tools identify isolated candles or basic candlestick formations, but they do not standardize the market context around them. This script is built around the idea that a reversal signal becomes more meaningful when three specific things happen together: 1. price has already made a clear short-term directional move, 2. that move is large enough to matter relative to the chosen pip structure, 3. and the next confirmed candle closes back in the opposite direction while price remains on the correct side of an EMA filter. The model is intentionally narrow. It does not try to identify every turning point in the market. It does not try to classify broad market structure. It does not use discretionary support and resistance interpretation. It does not rely on vague candle descriptions such as “looks weak” or “looks exhausted”. Instead, it defines reversal-entry conditions using a fixed sequence: first measure a three-candle directional push, then filter it using EMA context, then require an opposite close-confirmed candle, then project a standardized risk framework, then review the resulting projected outcomes over time. That narrower focus is the main reason this script exists in its current form. WHY THIS SCRIPT IS NOT A SIMPLE MASHUP This script combines multiple components, but they are not included simply to place more features into one publication. Each component has a specific function inside the same analytical workflow: - The EMA filter defines directional context. - The three-candle move measurement defines whether a short-term push is large enough to qualify. - The reversal candle confirmation defines the actual entry trigger. - The pip-based stop-loss and RR framework standardize trade projection. - The summary and daily review tables organize projected outcomes into a readable review structure. - The internal optimizer compares the same reversal logic across multiple hidden EMA and move-threshold combinations. These layers are interdependent. Without the three-candle move measurement, the script would react to many small candles that do not represent meaningful short-term expansion. Without the EMA filter, the script would lose its directional context and become a more generic reversal marker. Without the close-confirmed reversal candle, the script would identify momentum but not the actual reversal-entry moment. Without the risk projection layer, the user would still need to manually draw the entry, stop, and target after every signal. Without the review tables, the user would have less organized feedback when reviewing results under the selected settings. Without the internal optimizer, the user would see only the current configuration and not how the same logic behaves across a broader parameter range. For that reason, the script is intended as a single reversal-entry framework, not as a random collection of unrelated features. WHAT THE SCRIPT DOES The script identifies reversal-entry setups using a strict, rule-based structure. Long setup requirements: - price must be above the selected EMA, - the prior three candles must all be bearish, - the combined bearish move across that sequence must reach the minimum pip threshold, - the current candle must close bullish. Short setup requirements: - price must be below the selected EMA, - the prior three candles must all be bullish, - the combined bullish move across that sequence must reach the minimum pip threshold, - the current candle must close bearish. When a valid signal appears, the script can: - place a BUY or SELL label, - project a fixed stop loss in pips, - project a take-profit level using the selected RR multiple, - draw TP/SL boxes, - draw an entry line, - keep historical projected trades visible for later review, - summarize projected outcomes in a summary table, - summarize recent daily projected behavior in a daily PnL table. The script also evaluates an internal optimizer in the background. That optimizer tests multiple EMA lengths and minimum-move combinations using the same reversal logic and displays the best-performing parameter combination inside the summary table over the shared analysis window. HOW THE SCRIPT WORKS 1) EMA CONTEXT FILTER The script uses a single EMA as a directional filter. For long setups: price must close above the selected EMA. For short setups: price must close below the selected EMA. This does not turn the script into a pure trend-following system. Instead, it acts as a directional context filter so that reversal entries are only considered when price is positioned on the chosen side of the EMA. In practical terms, the EMA filter is used to reduce context-free reversal signals. A bullish candle appearing after a bearish push is not enough by itself. The script still wants price to be trading above the selected EMA for longs, and below it for shorts. 2) THREE-CANDLE DIRECTIONAL MOVE MEASUREMENT The script looks at the three candles immediately before the signal candle. For a long setup: those three candles must all be bearish. For a short setup: those three candles must all be bullish. The script then measures the total directional move across that sequence in pip terms. For long setups, it calculates the bearish move from the open of the first candle in the sequence to the close of the third bearish candle. For short setups, it calculates the bullish move from the open of the first candle in the sequence to the close of the third bullish candle. That move must be at least as large as the user-defined “Minimum 3-Candle Move (Pips)” setting. This is one of the key parts of the script’s logic. It ensures that the setup is not based on three arbitrary candles, but on a directional push that is large enough to meet the minimum threshold selected by the user. 3) REVERSAL CANDLE CONFIRMATION After the three-candle directional push is identified, the current candle must close in the opposite direction. For long setups: the current candle must close bullish. For short setups: the current candle must close bearish. This requirement is intentionally strict. The script does not treat intrabar movement or unfinished candles as a valid signal. Signals are confirmed only when the bar closes. This matters because a reversal that looks valid intrabar can disappear by the close. By waiting for close confirmation, the script reduces premature signal marking. 4) COOLDOWN FILTER The script includes a cooldown period between signals. Once a signal has fired, a new signal is not allowed until a defined number of bars has passed. In the current implementation, that cooldown is handled internally. The purpose of this filter is to reduce signal clustering and prevent the chart from producing multiple nearby entries from the same short-term market behavior. 5) PIP-BASED RISK PROJECTION When a valid signal appears, the script creates a projected trade framework using: - entry at the signal close, - a fixed stop-loss distance in pips, - a take-profit level based on the selected risk/reward multiple. This makes the projection logic standardized across signals. For long setups: - stop loss is placed below entry, - take profit is placed above entry. For short setups: - stop loss is placed above entry, - take profit is placed below entry. The script can draw: - entry line, - TP box, - SL box, - BUY / SELL label, - TP / SL hit labels. This projection layer is not meant to claim that a setup will succeed. Its purpose is to reduce manual chart annotation and make the behavior of the signal model easier to inspect after the fact. 6) SAME-BAR TP/SL PRIORITY RULE The script uses a strict and conservative rule when both target and stop would appear to be touched on the same bar after entry: if TP and SL are both reached on the same bar, SL takes priority. This is an important implementation detail because it directly affects projected statistics. It makes the review logic more conservative and avoids optimistic ambiguity when bar data alone cannot determine exact intrabar order. 7) SHARED ANALYSIS WINDOW The script uses a shared analysis window internally. Projected results and optimizer comparisons are evaluated over a rolling historical range rather than over the full unlimited chart history. This keeps the internal review process more controlled and makes the optimizer comparison consistent inside the same defined lookback window. 8) INTERNAL OPTIMIZER One of the script’s more advanced components is the internal optimizer. The optimizer runs in the background and is intentionally not exposed as a user-facing optimization panel. Instead of asking the user to manually test every variation, the script internally evaluates combinations of: - 10 EMA values, - 10 minimum-move thresholds. That produces 100 total internal combinations. Each combination uses the same reversal logic: - EMA context, - three-candle directional sequence, - minimum move threshold, - opposite close-confirmed candle, - same stop-loss and RR structure. The optimizer then tracks projected wins, losses, net R, gross profit, and gross loss for each combination, and the summary table displays the current best combination based on the script’s internal comparison rules. This optimizer is not intended to present a “perfect setting”. It is a comparative review aid that helps the user understand how the same reversal framework behaves across multiple hidden parameter combinations. WHAT MAKES THIS SCRIPT ORIGINAL This script uses familiar technical-analysis building blocks such as: - EMA filtering, - candle-sequence logic, - pip-based move measurement, - fixed stop-loss projection, - risk/reward mapping, - performance review tables. Those building blocks are not original by themselves. The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how these familiar elements are arranged into one tightly defined reversal-entry workflow: EMA context → three-candle directional expansion → minimum pip-threshold validation → opposite candle close confirmation → fixed-risk trade projection → on-chart review → internal background parameter comparison That full sequence is the main reason this script exists as its own publication. It is not intended to be simply another EMA filter, another candlestick marker, another TP/SL visualizer, or another optimizer dashboard. It is specifically a short-term reversal-entry framework that combines directional context, expansion measurement, confirmation logic, risk mapping, and review in one workflow. WHAT APPEARS ON THE CHART Depending on settings, the chart may display: - EMA line, - BUY labels, - SELL labels, - signal-bar background highlights, - entry line, - TP box, - SL box, - TP hit labels, - SL hit labels, - summary table, - daily PnL table. Users who want a cleaner chart can disable some visual layers and keep only the ones most relevant to their workflow. HOW TO USE THE SCRIPT A practical workflow is: 1. Add the script to a standard candlestick chart. 2. Select the EMA length you want to use as directional context. 3. Set the minimum three-candle move threshold in pips. 4. Set the pip preset correctly for the instrument, or use manual pip size if needed. 5. Choose the stop-loss distance in pips. 6. Select the RR mode used for take-profit projection. 7. Wait for a valid long or short setup to appear. 8. Use the projected entry, stop, and target structure as a chart-analysis framework rather than as a blind instruction. 9. Review projected trade behavior in the summary table and daily table. 10. Compare your selected settings with the optimizer’s best internal combination, but do not treat the optimizer output as a guaranteed best future configuration. This script is best understood as a structured decision-support and reversal-review tool, not as a self-sufficient trading system. SETTINGS REFERENCE Signal Settings - EMA Length: sets the EMA used as the directional filter. - Minimum 3-Candle Move (Pips): defines how large the directional three-candle move must be before a reversal candle can qualify. Pip Settings - Pip Preset: selects a predefined pip-size interpretation for common instrument types. - Manual Pip Size: allows direct control when the selected symbol needs a custom pip conversion. Risk Management - Stop Loss (Pips): sets the fixed stop-loss distance in pip units. - Take Profit RR: sets the projected target multiple relative to the stop-loss distance. Visual Settings - Show Buy/Sell Labels: shows or hides the signal labels. - Highlight Signal Bars: adds background color to signal bars. - Show Entry Line: shows or hides the projected entry line. - Show TP/SL Hit Labels: controls whether projected outcomes are labeled. - Show TP Hit Labels: controls TP hit labels specifically. - Show SL Hit Labels: controls SL hit labels specifically. Summary Table - Show Summary Table: enables or disables the main review table. - Table Position: sets the table location. - Table Text Size: controls summary-table text size. Daily PnL Table - Show Daily PnL Table: enables or disables the daily review table. - Daily Table Position: sets the daily table location. - Daily Table Text Size: controls daily-table text size. INTERNAL LOGIC NOTES The current code also includes internal settings that are not exposed as user-facing optimization controls. These include: - signal cooldown, - shared analysis window, - maximum stored closed-trade visuals, - hidden optimizer activation, - internal optimizer parameter combinations. These internal elements exist to keep the public interface simpler while still allowing the script to maintain consistent review behavior in the background. IMPORTANT PRACTICAL NOTE ON PIP SIZE The script uses pip-based calculations for: - the minimum three-candle move, - stop-loss distance, - take-profit distance, - optimizer comparison logic. Because of that, correct pip interpretation is extremely important. If signals appear too frequent, too rare, too compressed, or visually inconsistent for the instrument being analyzed, the first setting to verify is Pip Preset or Manual Pip Size. This matters especially for: - gold symbols, - 5-digit forex symbols, - JPY forex pairs, - indices and CFD-style instruments, - custom broker symbols with unusual decimal formatting. LIMITATIONS AND SHORTCOMINGS This script has important limitations: - It is a short-term reversal model, not a full market-structure engine. - It only evaluates one specific reversal pattern based on a three-candle directional push and an opposite close-confirmed candle. - It does not use support/resistance structure, volume profile, or discretionary context. - It relies on pip conversion, so poor pip settings can distort signal behavior. - The internal optimizer compares parameter combinations only inside the defined shared analysis window. - The optimizer output is a comparative review tool, not a guarantee that the best historical combination will remain best in future market conditions. - Projected results depend on the script’s own simplified outcome logic. - If TP and SL are both touched on the same bar, SL is prioritized by design, which makes the logic more conservative but also affects outcome statistics. - Historical projected trades and review metrics are chart-based review aids, not proof of tradable real-world execution. - No reversal-entry model can remove all false signals or all regime-dependent behavior. For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future profitability. WHO THIS SCRIPT MAY BE USEFUL FOR This script may be useful for traders who: - want a rules-based short-term reversal-entry model, - want EMA-based directional context, - want a minimum expansion threshold before a reversal is allowed, - want fixed-risk trade projection on the chart, - want review tables for projected outcomes, - want background comparison of multiple EMA and move-threshold combinations. It may be less suitable for traders who: - want a broad trend-following system, - want a discretionary support/resistance engine, - want a multi-pattern candlestick library, - want a fully automated strategy with no outside confirmation, - want outcome metrics interpreted as live performance promises. DISCLAIMER This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making.
Pine Script® indicator
by trade_w_samet
2
Ultra Dynamic PnL Target R/R tool [RWTrading]I designed this as a way to force myself into creating targets to give myself realistic expectations while I was in the trade. I wanted a drawing tool originally, but it quickly evolved into something so much more. Almost every aspect of this tool is customizable. That includes the positioning of the boxes, labels, etc. If you are unhappy with where something is and how it looks--likely you can move it! The trade dashboard tells you a lot of quick information about the trade. Everything can be toggled on or off as well to reduce the noise. You activate the indicator and it will ask you to set three points: Entry, Stop, Target. You should know each one of these before you place a trade, at least that was what I was striving to achieve. It will then populate the proper R/R and give you information. You can toggle the full version of the compact version of the data as well. As each target is approached it will be dimmed and checked. After 1R has been reached, I have added a reminder to consider bringing your stop loss to break even. Protect your capital and make sure you give up less of your profits to the markets. I hope this helps you plan your trades and keep your expectations in check. It has greatly helped me. Happy Trading.
Pine Script® indicator
by redwardenstudios
3
MTF Structure Breakout StrategyStrategy Idea This strategy combines higher timeframe trend direction with lower timeframe structure breakouts. Instead of trading every breakout, it aligns entries with the broader market direction and waits for confirmation from recent price structure. The goal is to improve trade selection by filtering signals through both trend context and local market behavior. How It Works 1. Higher Timeframe Trend Filter A higher timeframe EMA is used to define the overall direction. Price above HTF EMA → bullish bias Price below HTF EMA → bearish bias This helps avoid trades against the dominant trend. 2. Market Structure Levels The script tracks recent highs and lows over a lookback period. Highest high → resistance reference Lowest low → support reference These levels act as structure zones. 3. Breakout Confirmation Trades are triggered only when price breaks these structure levels: Break above recent high → potential continuation upward Break below recent low → potential continuation downward 4. Volatility-Based Risk Management Stop-loss and take-profit levels are calculated using ATR. Stop-loss adapts to volatility Risk-to-reward ratio defines the target Key Features Multi-timeframe trend alignment Structure-based breakout entries ATR-based adaptive exits Non-repainting logic Designed for backtesting and experimentation When It May Perform Better Trending markets Volatility expansion phases Higher timeframe directional moves It may produce fewer signals in low-volatility or sideways conditions. Important Note This strategy is intended for testing and learning purposes. Results vary depending on market conditions, timeframe, and parameter selection. Always validate across multiple instruments before using it in live environments.
Pine Script® strategy
by AIScripts
Omega Ratio AnalysisThe Omega ratio was introduced by Keating and Shadwick in 2002 as a superior alternative to the Sharpe ratio. Sharpe assumes normally distributed returns (ignores fat tails and might be unrealistic sometimes), Omega captures the entire return distribution. This makes it ideal for analyzing crypto, leveraged ETFs, and any assets with asymmetric returns or fat tails (I love fat tails, as part of my investment strategy of course). Quant funds prefer Omega because it answers: "How much do I gain above my threshold versus how much do I lose below it?" This aligns with actual investment goals better than abstract volatility penalties. THE MATH Omega ratio is defined as: Ω(MAR) = (Sum of returns above MAR) / (Sum of returns below MAR) Where MAR (Minimum Acceptable Return) is your return threshold . The indicator calculates this using log returns for better statistical properties: Log returns: ln(price / previous price) For time series mode: Loops through lookback period, summing gains above threshold and losses below threshold For curve mode: Calculates Omega at multiple MAR levels (from 0% to max) to reveal distribution shape Values above 1.0 indicate gains exceed losses. For example, Ω = 1.5 means $1.50 in gains for every $1.00 in losses relative to your target. Time Series Mode Tracks Omega over time using a rolling window (default 252 bars). Shows color-coded performance zones: Excellent (>1.5), Good (>1.0), Caution (>0.7), Poor (<0.7). Set your annual return target and the indicator converts it to per-bar threshold. Monitor whether you're beating your goal over time. Omega Curve Mode It plots Omega versus different MAR thresholds to reveal the return distribution shape. A steep declining curve indicates normal distribution with thin tails. A gentle slope indicates fat tails with asymmetric upside. Compare your asset against any benchmark (default QQQ) to see which has better tail performance at different return thresholds. HOW TO USE For Long-Term Investors: Use 252-bar lookback on daily charts (1 year) or use even weekly charts. Set your annual target around 10% (historical market average). If Omega stays above 1.0, you're beating your goal. Check the curve periodically - a gentle slope means the asset has upside potential beyond average returns. For Comparing Assets: Plot two assets (like SPY vs TQQQ). If the leveraged version has a gentler curve slope, it captures more explosive upside days. The crossover point shows which MAR threshold favors which asset. Asset above benchmark at high MAR levels = better for aggressive return goals. For Regime Detection: Use shorter periods (60-90 bars) for curve calculation. When curves become steeper, returns are normalizing and momentum may be fading. When curves flatten or become more convex, fat tails are developing (bullish regime forming). APPLICATIONS Asset Selection: Screen for asymmetric opportunities by comparing curve shapes. Gentle slopes indicate lottery-ticket upside potential. Leverage Analysis: Quantify whether leveraged ETFs justify the volatility by comparing curves at high MAR levels. If 3x ETF curve significantly above 1x at MAR = 2%, leverage premium exists. Risk Assessment: Steep curves = predictable, capped returns. Gentle curves = volatile but moonshot potential. Choose based on your risk tolerance and return goals. Performance vs Benchmark: Compare your holdings against sector ETFs or market indices. If your curve is below benchmark at your target MAR, you're not getting paid for the extra risk. PRACTICAL TIPS Curve Period: Use 60-90 bars to see asymmetry during volatile markets. Longer periods (252-1000 bars) average out cycles and produce linear curves. MAR Increments: Keep at 50 for smooth curves. Only lower for performance reasons. Multi-Symbol Analysis: Compare growth stocks vs QQQ, value vs SPY, crypto vs BTC, or leveraged vs unleveraged to quantify relative risk-reward. Reading the X-Axis: MAR shows per-bar percentage. On daily charts, 0.5% MAR means "only days with +0.5%+ returns count as wins." On monthly charts, 3% MAR means "only months with +3%+ returns count as wins." My indicator is perfect for quant investors who want institutional-grade risk analysis. Goes beyond simple volatility metrics to reveal the true shape of return distributions. PRACTICAL EXAMPLE: This chart compares SPY versus TQQQ (3x leveraged Nasdaq ETF) on monthly bars over 252 months (21 years), spanning the 2008 crisis, 2020 crash, and multiple market cycles. Both start at Omega = 1.50 (identical overall risk-adjusted returns), but the curve shapes reveal how those returns were achieved: SPY (in cyan): Steep drop from 1.5 to near zero by MAR = 1.7% per month. Returns cluster tightly around average - predictable but limited upside. TQQQ (in red): Gradual slope maintaining Omega = 0.35 even at MAR = 8.7% per month. Shows fat right tail with many explosive +20-40% months that SPY never sees. Key insight is: For aggressive goals (20-30% annual), SPY's Omega drops to 0.5 (losses dominate) while TQQQ stays above 1.0 (gains exceed losses). TQQQ offers better odds at high return targets, but requires surviving -60 to -90% bear market drawdowns. This demonstrates how curves reveal distribution characteristics that price charts or Sharpe ratios miss - specifically the asymmetric upside advantage of leveraged products for long-term holders with high risk tolerance. Let me know if you have questions or suggestions: - Henrique Centieiro
Pine Script® indicator
by HenriqueCentieiro
Risk Grid R LevelsThis script is a TradingView Pine v5 overlay indicator that draws a custom risk grid based on your Entry Price and Stop Price (-1R). It calculates one risk unit (1R) as the distance between entry and stop, then plots horizontal levels at -1R, 0R, +1R ... +6R. 0R is your entry, -1R is your stop, and positive levels are profit targets in risk multiples. The lines are thin and extend only to the right. Each level has a clean text label placed directly on the line (no badges), and you can control positioning with: Line Offset (bars) for moving lines left/right Label Offset (bars) for moving labels independently If entry and stop are equal, the script shows an error label instead of drawing levels.
Pine Script® indicator
by Romanjukov1991
Profit Loss Display UniversalUniversal Profit Loss Display is a chart overlay for quickly visualizing projected reward, risk, and reference levels from the current price. The script lets you select: - one main profit target - one main stop loss level - four additional reference sources The sources can be any element of another indicator displayed on the current chart (using the TradingView's source parameter. **How it works** The indicator compares each selected level to the current price and estimates the move using your configured position base. This makes it useful for planning trades around fixed targets, stops, VWAPs, pivots, bands, or any custom level source. For each active level, it displays the move from current price as price points, dollar value, or both. The profit target and stop loss also get dedicated value labels, and the script calculates a live reward-to-risk ratio in `R` format. **Key features** - Configurable `input.source` levels for profit target, stop loss, and 4 extra references - Display mode selector: `Price Points`, `$ Value`, or `Both` - Automatic leverage detection by asset class, with manual override - Dollar projection based on chunk size and leverage - Clean on-chart labels that only appear when a source is different from `close` - Reward-to-risk ratio displayed directly on the chart - Bottom-right info table showing active chunk size and leverage **Best use cases** - Pre-trade reward/risk planning - Visual target and stop mapping - Comparing multiple nearby levels from current price - Quick dollar impact estimation without manual calculation **Notes** This is a planning helper, not a strategy or execution tool. Dollar projections do not include fees, spread, slippage, funding, or partial exits. --------------------------------------------------------------------------------------------------------------------- **How To Use** 1. Add the indicator to your chart. 2. Set your main `Profit Target` and `Stop Loss Limit`. These are the two primary levels used for the projected profit/loss labels and the `R` ratio. 3. Optionally assign `Extra Source 1-4`. Use these for additional levels you want to monitor, such as VWAPs, pivots, moving averages, bands, or custom plotted values. 4. Choose your `Display Mode`. - `Both` shows price distance and dollar value - `Price Points` shows only the raw move from current price - `$ Value` shows only the projected dollar impact 5. Set your `Chunk Size`. This is the base position size used in the calculation. 6. Set `Leverage X`. - Leave it at `0` to use automatic leverage by asset class Automatic Leverage Rules If Leverage X is set to 0, the script uses these defaults: crypto: 5 forex: 30 futures: 10 cfd: 10 stock: 5 index: 20 fund: 5 anything else: 10 A small table in the bottom-right corner shows the active chunk size and leverage. - Enter a manual value if you want to override auto leverage 7. Turn `Show Labels?` on or off as needed. **What You Will See** - A source label for the profit target - A source label for the stop loss - Source labels for up to 4 extra levels - A dedicated profit value label - A dedicated stop-loss value label - An `R:x.x` reward-to-risk ratio label - A bottom-right table showing current chunk size and leverage **Important Behavior** - Labels only appear when the selected source is different from `close` - `close` acts as the default “off” state for any source input - Labels are updated on the latest bar only - The ratio is based on distance from current price to target and stop **Practical Example** If you are planning a trade: - set `Profit Target` to your take-profit level - set `Stop Loss Limit` to your invalidation level - set `Chunk Size` to your standard trade allocation - choose a leverage value or leave auto mode enabled - use the extra sources for nearby confluence or reaction zones This gives you an immediate view of: - potential upside - potential downside - reward-to-risk ratio - relative distance to other important levels **Notes** This script is a visual planning tool. It does not place trades and does not account for fees, slippage, spread, funding, or scaling in and out.
Pine Script® indicator
by FutuRInvest
Ultimate Risk Manager: Fixed Dollar Risk & Position CalculatorAre you tired of manually calculating your position size to risk exactly $10, $50, or $100 per trade? The Ultimate Risk Manager is a professional-grade position sizing and risk calculation tool designed for day traders and scalpers. Instead of guessing your position size and hoping your stop loss doesn't wipe out your account, this tool allows you to set a Fixed Dollar Risk. It tells you exactly how much margin to use so that if your Stop Loss is hit, you lose exactly the amount you planned for. Perfect for futures and leverage traders on any exchange (MEXC, Binance, Bybit, etc.). ✨ Key Features: 🎯 Strict Risk Management: Input your desired risk (e.g., $2.00) and the calculator outputs the exact "Total Position" and "Margin" required based on your Stop Loss distance. 🤖 Auto Long/Short Detection: No need to toggle directions. The script automatically detects if it's a LONG or SHORT based on where you place your Stop Loss relative to your Entry. 💸 Built-in Fee Calculator: Input your exchange's round-trip fee percentage. The table calculates your exact fee cost and provides your Net Profit (after fees) at your Take Profit target. 🧹 Ultra-Minimalist Chart Visuals: Say goodbye to indicator lines cutting through your price action. This script uses short, clean floating markers for Entry, SL, and TP that sit neatly in the empty space on the right side of your chart. 🎨 Customizable UI: Includes a Light/Dark theme toggle, adjustable table positioning, and sliders to push the floating chart markers exactly where you want them. 🛠️ How to Use: Open the indicator Settings (Double-click the table). Under "Trade Setup," enter your Fixed Risk ($), Leverage, and Exchange Fee (%). Under "Price Levels," use the Price Picker tool (the target icon) to click your desired Entry, Stop Loss, and Take Profit levels directly on the chart. Look at the dashboard table! Copy the highlighted Yellow Margin Number and type it directly into your exchange's order box. Protect your capital and trade like a professional by keeping your risk mathematically consistent on every single trade.
Pine Script® indicator
by Tolma9202
Position and Risk CalculatorFirst of all I'd like to thank @Famouzx for the use of his original code. I had this idea for a long time - but, had no idea on how to execute it. I found a reference to his script and it had some elements that showed me how this could be completed. This script does two main things: First, the user can input their account size and risk amount and the script will calculate the amount of size to enter the trade. The user can also choose the size they desire and it will calculate the risk amount. Second, the script will project TP levels based upon input from the user. There are two take profit level types: The first is TP levels based upon risk/reward and the distance between the SL and Entry. The second is that the user can use a "measured move" to project TP levels. There are options for the levels to show or not show the following: Ticks, USD, R/R, and the security price for that level. For my use case I use several different elements of this script: 1) I use the Entry and SL locations to provide me with the correct size to enter the trade. 2) I use the Measured Move elements to set take profit levels. 3) Within the Take Profit levels I use Fibonacci levels. In the next image one can see how this works. 1) The Stop and Entry are set. In the settings the risk is set at .4% of 50k and that is $200 which is shown in the table on the top right. The correct size for that amount of risk is shown on the Entry line as 2 Micros (this is NQ Futures). 2) The Measured move begins at the top of the last impulse up and ends on the first mail reversal that dips into the "golden zone" and is rejected. This is the distance is used to calculate the TP levels and the Fib levels. 3) The RR, USD profit, and ticks are calculated using the SL and Entry. So, the trader can calculate the entry size and R/R before entering the trade. In this example we can see that there was profit taking at the 0.618 (an almost guaranteed level to reach in most of these type of setups). And, you can see that is an important level as this trade finished at the 1.618 level. In the next image the trader is not using the measured move or fib take profit levels. They are only using the SL and TP. But, the Risk is still $200 and the script shows that 2 micro contracts should be used. In settings the user could make the TP levels transparent if they only wanted to use the size calculator. This video demonstrate how to use the script. Please DM me if any bugs are found.
Pine Script® indicator
by shaneaus
Wedge Pattern [UAlgo]Overview Wedge Pattern is a chart overlay that detects rising and falling wedge formations using strict pivot based rules and a validation engine that enforces classic technical analysis requirements. The script builds two trendlines from confirmed pivot highs and pivot lows, verifies that both boundaries converge toward an apex in the future, and ensures that price remains contained within the wedge until a valid breakout occurs. The indicator is designed to reduce subjective pattern drawing. It requires a minimum number of touches on each boundary, checks that no candle closes outside the wedge during formation, and treats the wedge as invalid if price breaks in the wrong direction or if the two boundaries collapse into each other. When a breakout is confirmed, the script updates the wedge label and can project a measured target based on the initial wedge width. This tool is meant for traders who want automatic, rules driven wedge identification with clear status states, breakout confirmation, and optional target projection on the chart. 🔹 Features 1) Pivot Based Wedge Construction The script identifies swing highs and swing lows using pivot detection. Each confirmed pivot is stored as a Coordinate containing bar index and price. When enough pivots exist, the script forms: An upper trendline from the earliest required pivot high to the most recent pivot high A lower trendline from the earliest required pivot low to the most recent pivot low Pivot Left and Pivot Right control swing sensitivity. Larger values produce fewer but stronger pivots. Smaller values react faster but may include minor swings. 2) Minimum Touch Requirement Per Boundary A wedge is only considered valid when there are at least a user defined number of pivot touches for both the upper and lower boundary. This aligns with standard charting practice where two points draw a line, but three points validate it. Min Touches per Line controls the minimum pivot count required before a wedge can be formed. 3) Objective Wedge Type Classification After calculating slopes for the upper and lower trendlines, the script classifies wedge type using slope direction and relative steepness: Rising wedge requires both slopes to be positive and the lower slope to be steeper than the upper slope Falling wedge requires both slopes to be negative and the upper slope to be steeper than the lower slope in the negative direction This ensures convergence and distinguishes wedges from simple channels. 4) Apex Projection and Future Convergence Rule The wedge apex is computed as the intersection point of the two trendlines. A valid wedge requires the apex index to be in the future. This confirms that the boundaries are converging and that the pattern is not already expired at detection time. 5) Mandatory Containment Rule During Formation A core validation rule enforces that no closes occur outside the wedge boundaries while the wedge is forming. If any close is above the upper boundary or below the lower boundary by at least one tick, the candidate wedge is rejected. This prevents premature breakouts from being treated as valid patterns. 6) Live Updating Boundaries Once a wedge becomes active, the script extends both boundary lines on every bar by updating their end coordinates using the trendline slope. This keeps the wedge aligned with current time and allows breakout checks to remain accurate. 7) Breakout Detection and Status Labeling The script defines correct breakouts by wedge type: Rising wedge is bearish biased, so a valid breakout is a close below the lower boundary Falling wedge is bullish biased, so a valid breakout is a close above the upper boundary When a valid breakout occurs, the wedge status is updated to BROKEOUT and the label color reflects direction. If price breaks the opposite boundary, or if boundaries collapse, the wedge is marked FAILED. 8) Target Projection Using Measured Move If enabled, the script projects a target line after breakout. The target distance is based on the wedge width measured near the start of the pattern, then projected from the breakout boundary: For a rising wedge breakdown, the target is placed below the lower boundary by the measured width For a falling wedge breakout, the target is placed above the upper boundary by the measured width A target label prints the projected price level. 🔹 Calculations 1) Pivot Detection and Coordinate Storage Swing points are detected using symmetric pivots: float ph = ta.pivothigh(high, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT) float pl = ta.pivotlow(low, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT) Confirmed pivots are stored using the pivot right offset so the bar index matches where the pivot actually formed: if not na(ph) pivot_highs.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, ph)) if not na(pl) pivot_lows.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, pl)) Arrays are capped to keep only recent pivot history. 2) Trendline Construction and Slope Calculation When enough pivots exist, the script picks the earliest required touch and the most recent touch for both highs and lows, then builds trendlines: Coordinate p1h = pivot_highs.get(pivot_highs.size() - MIN_TOUCHES_PER_LINE) Coordinate pNh = pivot_highs.get(pivot_highs.size() - 1) Trendline tl_up = Trendline.new(p1h, pNh, 0.0, na) tl_up.slope := tl_up.calc_slope() Slope is defined as: (this.end.price - this.start.price) / (this.end.index - this.start.index) The same logic is used for the lower trendline from pivot lows. 3) Wedge Type Rules Wedge type is derived from slope sign and convergence: Rising wedge: if tl_up.slope > 0 and tl_lo.slope > 0 and tl_lo.slope > tl_up.slope w_type := 1 Falling wedge: if tl_up.slope < 0 and tl_lo.slope < 0 and tl_up.slope < tl_lo.slope w_type := 2 This ensures both boundaries move in the same direction while converging. 4) Apex Index Calculation The apex index is calculated from the line intersection of the two trendlines: float apex_x = (y2 - y1 + m1 * x1 - m2 * x2) / (m1 - m2) math.round(apex_x) A candidate wedge is only accepted if apex index is greater than the current bar index. 5) Containment Validation Using Close Prices The script checks each bar from the wedge start to the current bar to ensure that close remains within boundaries: float up_p = this.upper.get_price_at(i) float lo_p = this.lower.get_price_at(i) float c_p = close if c_p > up_p + syminfo.mintick or c_p < lo_p - syminfo.mintick violated := true If violated is true, the wedge is rejected. 6) Live Boundary Update and Breakout Checks For active wedges, end coordinates are updated each bar using the projected boundary price: line.set_y2(w.upper.line_id, w.upper.get_price_at(bar_index)) line.set_y2(w.lower.line_id, w.lower.get_price_at(bar_index)) Breakout checks use the current close against projected boundary prices: bool b_up = close > u_p bool b_dn = close < l_p Correct breakout: Rising wedge requires b_dn Falling wedge requires b_up Invalidation: Rising wedge fails if b_up Falling wedge fails if b_dn Any wedge fails if upper boundary price is less than or equal to lower boundary price 7) Target Projection Measured width is derived from the initial distance between boundaries near the start of the wedge, then projected from the breakout side: float m = math.abs(w.upper.start.price - w.lower.get_price_at(w.upper.start.index)) float t = w.is_rising ? l_p - m : u_p + m The target line and label are drawn forward a fixed number of bars to provide a clear reference after breakout.
Pine Script® indicator
by UAlgo
1
Position Sizer and CalculatorHere is your properly formatted TradingView-ready description using correct BBCode structure for clean public library display: --- Position Sizer and Calculator (PSC) A professional-grade position sizing and risk evaluation tool designed to quantify trade exposure directly from chart-defined levels. This script calculates trade size, risk, reward, and performance metrics dynamically based on your selected Entry, Take Profit, and Stop Loss levels. It is designed for disciplined traders who manage capital allocation through structured risk control. --- Overview The Position Sizer and Calculator operates on a capital-allocation model. The trader defines the total dollar amount intended for the position. Risk is then derived automatically from the selected Stop Loss level. All outputs update in real time as Entry, TP, or SL levels are adjusted on the chart. This ensures immediate visibility into: Position size Dollar risk Risk percentage Profit potential Risk/Reward ratio --- User Inputs Manual Inputs Trade Value ($) The total capital allocated to the position. Quantity Decimals Controls the number of decimals displayed for share quantity. Fractional shares are supported. Chart-Selected Inputs Entry Take Profit (TP) Stop Loss (SL) Anchor bar (time reference) Levels are selected directly on the chart using TradingView’s confirmation-click system. Adjusting these levels automatically recalculates all metrics. --- Calculation Methodology The script uses the following formulas: Shares Quantity Qty = Trade Value ÷ Entry Price Risk per Share Risk per Share = |Entry − SL| Total Risk (Dollar Risk) Risk = Risk per Share × Qty Risk Percentage of Trade Value Risk % = (Risk ÷ Trade Value) × 100 Reward per Share Reward per Share = |TP − Entry| Profit at Target Profit = Reward per Share × Qty Risk/Reward Ratio R:R = Reward per Share ÷ Risk per Share All risk and reward calculations use absolute price distances to ensure correct handling of both long and short configurations. --- Table Output The summary table displays the following metrics in structured order: Trade Value Shares Quantity Entry Take Profit Stop Loss Profit at Target Risk (Dollar Risk) Risk % (of Trade Value) Risk/Reward Ratio Values update immediately when price levels or trade value are adjusted. --- Structural Controls The script enforces logical trade structure: TP and SL cannot both be above Entry. TP and SL cannot both be below Entry. Risk is always derived from the Stop Loss. Long and short configurations are automatically detected.
Pine Script® indicator
by maryam_bahri
Gold/Spread AlgoXAUUSD 1-Minute RSI Scalping Strategy – Mean-Reversion with Fixed Exits This open-source strategy is a high-frequency, counter-trend scalping system designed specifically for **XAUUSD (Gold)** on the 1-minute timeframe. Core Logic The strategy uses classic RSI(14) to identify short-term overextension: - Long entry when RSI drops below oversold (default 30) → expects quick snap-back - Short entry when RSI rises above overbought (default 70) → expects quick pullback Entries are taken only when flat (no pyramiding). Exits are fixed in pips and set immediately on entry: - Take Profit: +10 pips (0.10 in XAUUSD price) - Stop Loss: –5 pips (0.05 in XAUUSD price) - Built-in Risk:Reward = 1:2 This fixed structure gives the system positive mathematical expectancy even with moderate win rates (≈55–65% before costs), provided gold continues to exhibit frequent mean-reversion behavior on 1-minute charts. Why this simple approach? Gold is one of the most volatile and momentum-driven instruments on very short timeframes. Pure RSI extremes often capture quick exhaustion moves after news spikes, order flow imbalances, or session transitions — especially during London/NY overlap. Fixed pip targets prevent over-optimization and mimic real broker execution more closely than dynamic trailing or percentage-based exits. Important Realism & Backtesting Notes To produce non-misleading results, use these settings when publishing/testing: - Initial Capital: $10,000 – $30,000 (realistic retail size) - Position sizing: fixed 0.10–0.30 lots or 1–3% equity per trade - Commission: 5–8 USD round-turn per lot (typical ECN/raw-spread) - Slippage: 3–8 ticks (≈0.03–0.08 in price) — gold spreads widen during volatility - Minimum dataset: 12–36 months of 1-minute data (aim for 800–2000+ trades) - Risk per trade: usually 0.5–1.5% with defaults — never exceeds sustainable levels Results vary significantly: - Strongest in ranging or mildly trending sessions - Weaker during strong directional moves or major news (NFP, FOMC, geopolitics) - Expect drawdowns during trending regimes — this is NOT a trend-following system Visual & Dashboard Elements - RSI line + fill (blue/orange background) + overbought/oversold zones - BUY/SELL triangles at entry points - Professional top-right dashboard showing: - Net Profit & Loss - Total Trades / Win Rate / Profit Factor - Winning / Losing Trades - Current RSI value - Position status (LONG / SHORT / FLAT) - TP:SL ratio Alerts - 🟢 LONG ENTRY – RSI oversold - 🔴 SHORT ENTRY – RSI overbought How to Use 1. Apply to XAUUSD 1-minute chart only 2. Use realistic commission/slippage in Strategy Tester 3. Trade primarily during London & New York sessions for best liquidity 4. Avoid major news events or widen stops manually 5. Forward-test on demo for 2–3 months minimum 6. Always size conservatively — never risk more than 1–2% per trade Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic tester results with commission/slippage applied - Screenshot during active session with visible entry signals + dashboard Educational tool — open-source for learning and testing. Not financial advice. Gold 1-minute trading is extremely volatile and carries high risk of loss. Trade responsibly.
Pine Script® strategy
by uzair2join
Fixed Risk + Contracts 2.0This is the upgraded version of my Contracts/Risk indicator, released in January 2026. Users will trade responsibly (and never overleverage again!) 1. Pre-Select Your Ticker MES ES NQ MNQ MYM YM M2K MCL MGC GC SIL SI 2. Input Current Account Balance and Risk % Each Trade To Grow Your Account 3. Input Stop Amount In Ticks (Use Position Tool for ease) 4. Contract Risk Is Calculated Automatically! Add to your favourites and comment below if you have any suggestions :)
Pine Script® indicator
by tradeina