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Momentumstrategy

Market Force Oscillator Elite ProMarket Force Oscillator Elite Pro is a single-pane oscillator that combines acceleration, volume-weighted force, trend alignment, divergence logic, and multi-method cycle diagnostics. How components work together: - Force engine estimates buy/sell pressure from candle position, relative volume weighting, and optional momentum factor. - Oscillator core combines acceleration with force and normalizes using robust scale logic (stdev with MAD fallback when stdev is unstable). - Dynamic levels compute adaptive OB/OS using ATR percent with timeframe-aware auto calibration and a soft-cap transform. - Trend filter compares LTF and HTF EMA direction before allowing directional signals. - Signal quality gate combines oscillator magnitude, relative volume, and optional alignment weighting. - Divergence module uses confirmed pivots with one-shot/cooldown modes. - Cycle module computes Original Ehlers, Zero-Crossing, Peak-to-Peak, Autocorrelation, and Composite estimates. What is new/original in this version (from current code): - Multi-method cycle detector with Composite mode. - Timeframe-aware ATR auto calibration for dynamic OB/OS behavior. - ATR soft-cap compression to avoid overly wide bands on higher timeframes. - Robust oscillator normalization with MAD fallback when stdev becomes outlier-like. - Oscillator-pane marker anchoring (`location.absolute`) to prevent autoscale distortion from price-anchored shapes. How to Use quickstart 1. Add the script to chart and start with `Preset = Balanced`. 2. Set `Cycle Detector Mode = Composite` for combined cycle diagnostics. 3. Enable `Show Detected Cycle (data window)` to inspect cycle outputs. 4. Enable advanced settings only if you need to tune quality gates, trend filter, and cooldowns. 5. Configure alerts from the 5 built-in alert conditions after threshold tuning.
Индикатор Pine Script®
от actemplet
LBR with HM Gartley 1935 on Log Returns Momentum Vol TargetOverview Linda Bradford Raschke's Momentum-based strategy, made by conclusions from the book Profits in the Stock Market by H.M. Gartley in 1935, and uses log returns for directional bias as well as dynamic volatility targeting to maintain consistent risk exposure. Sizes positions inversely to realized volatility (from log returns std dev) for better compounding in trending markets like gold (XAUUSD). Key Features Log returns calculation: ln(close / close ) for time-additive momentum. Directional signals: Enter long when momentum > 0, short when < 0 (configurable strict crossover mode). Volatility scaling: Targets user-defined annual vol (default 20%) → reduces size in high-vol periods. Exits: Percentage TP/SL + explicit close on opposite signals for reliable backtests. Debug visuals: Momentum plot, signal shapes, real-time table (vol, size factor, qty, signal state). How to Use Best on Daily or higher timeframes for meaningful log momentum (e.g., XAUUSD, BTCUSD, stocks). Adjust Momentum Lookback (default 50 bars), Target Vol %, TP/SL %. Backtest with commissions/slippage enabled for realism. Use on log-scale chart for % perspective. Limitations & Notes No guarantees of profitability; markets involve risk. Designed for educational/quant purposes; test thoroughly. Not financial advice. Open-source for community learning. Credits Built on standard quant finance principles (log returns for normality/additivity, vol targeting for risk control). Inspired by discussions on compounding and GARCH-like vol estimation from Linda Bradford Raschke's conclusions from the book Profits in the Stock Market by H.M. Gartley in 1935.
Стратегия Pine Script®
от uzair2join
LBR's Game Theory EMA Strategy - Alternate Game Theory EMA Strategy Overview: This strategy combines EMA crossover structure with a normalized momentum “utility edge” model to filter low-conviction trades. Instead of trading every EMA crossover, the script evaluates whether directional momentum statistically favors buyers or sellers before entering. Core Logic: EMA Structure Shift: A fast EMA crossing a slow EMA signals a possible momentum transition. Trend Alignment: Trades are only taken in the direction of a higher timeframe trend (Trend EMA). Utility Edge Filter: RSI is normalized around 50 to estimate directional advantage: • RSI > 55 → Buyers show advantage • RSI < 45 → Sellers show advantage • Between 45–55 → Considered equilibrium zone (no trade) Optional ADX Filter Trades can be restricted to environments with expanding trend strength. Risk Management Default Properties: • Initial Capital: 10,000 • Risk per trade: 2% of equity • Risk–Reward Ratio: 1.5:1 • Commission: 0.05% • Slippage: 1 tick • Max Trades per Day: 5 • Daily Loss Limit: 2% Position sizing is volatility-adjusted: Position Size = (2% Equity) ÷ ATR Stop Distance Stops and targets expand or contract automatically based on market volatility. Intended Use Designed for trending instruments. Users are encouraged to test on long historical datasets to ensure sufficient trade sample size. This strategy does not predict price direction. It reacts to structural and momentum shifts. Past performance does not guarantee future results.
Стратегия Pine Script®
от uzair2join
LBR's Game Theory - EMA StrategyLinda Bradford Raschke's Game Theory EMA Strategy: Overview: This strategy combines EMA crossover structure with a momentum-based utility edge model inspired by basic game theory concepts. The objective is to participate only when directional momentum suggests one side of the market has a measurable advantage. Core Logic: Structure Shift: A fast EMA crossing a slow EMA signals a potential momentum transition. Trend Alignment: Trades are only taken in the direction of a higher timeframe trend (Trend EMA). Utility Edge Model: Momentum is normalized using RSI to approximate directional “utility.” When RSI is above 50, buyer utility is positive. When RSI is below 50, seller utility is positive. If the difference between buyers and sellers is too small (equilibrium zone), trades are avoided. Trend Strength Filter: Optional ADX filter ensures trades occur in expanding trend conditions. Risk Management: Default Properties: • Initial Capital: 10,000 • Risk per trade: 2% of equity • Risk–Reward: 1.8 : 1 • Commission: 0.05% • Slippage: 1 tick • No pyramiding Position size is dynamically calculated: Position Size = (2% Equity) ÷ Stop Distance Stops and targets are ATR-based to adapt to volatility. Intended Use: Best suited for: • Trending instruments (Forex majors, Indices, Gold, Crypto) • Multi-year datasets for proper statistical evaluation This strategy reacts to structural and momentum shifts. It does not predict future price movement. Past performance does not guarantee future results.
Стратегия Pine Script®
от uzair2join
Linda Bradford Redford 3-10 Oscillator Enhanced LBR MomentumLBR 3-10 Oscillator – Enhanced (Linda Raschke Momentum) Popularized by Linda Bradford Raschke since the 1980s, the 3-10 oscillator is a fast momentum tool that measures the difference between a 3-period and a 10-period simple moving average of price (plus a 16-period signal line of that difference). It is essentially a simple-moving-average version of the MACD and is widely used for short-term momentum shifts and trend changes, especially in futures and intraday trading. This enhanced open-source version adds: Custom MA type (SMA/EMA/WMA) for all lines (default = SMA to stay true to the original). Colored histogram that shows momentum strength: strong bull (bright lime), weak bull (pale green), strong bear (maroon), weak bear (red). Momentum “hooks” – tiny dots on the fast line that mark changes in direction (potential short-term exhaustion). Simple adjacent-bar divergence labels (bullish/bearish) for visual reference. Overbought/oversold levels and full alert suite. How to read it Fast line (blue/purple) = raw momentum. Crosses of the thick red signal line = momentum shifts. Zero-line cross = trend confirmation. Histogram color & height = conviction of the move. Hooks = possible short-term turns. Divergence labels = possible weakening of momentum (use with price action). How to use Works on any timeframe and asset. Best results on liquid instruments (futures, forex majors, large-cap stocks). Adjust MA type or lengths for different market conditions. The raw oscillator scale varies with price/volatility, so tune the OB/OS levels to the chart you are trading. This script does not contain any backtesting, performance claims, or mechanical trading rules. It is a visual momentum tool only. Always combine with price action, support/resistance, and your own risk management. The code is fully open-source so you can study or modify it. Inspired by Raschke’s original concept and many community implementations, but the visual enhancements (strength-based histogram coloring, hooks, and divergence labels) are unique to this version.
Индикатор Pine Script®
от uzair2join
Volatility Expansion Indicator - D_QuantVolatility Expansion Indicator - D_Quant |V|C|E| 1. Concept & Overview The Volatility Expansion Indicator (VCE) is a composite quantitative tool designed to identify robust trend states by aggregating signals from three distinct market dimensions: Relative Position (Volatility), Cyclical Momentum, and Price Velocity. Unlike single-source indicators which often generate false positives during choppy markets, the VCE utilizes a "Consensus Engine." It normalizes signals from Bollinger %B, CCI, and ROC into a unified trend score (-1 to +1). This score drives the visual coloring of the price action and background, allowing traders to instantly gauge whether the market is in a state of volatility expansion (trending) or contraction (ranging). 2. Methodology & Calculation The core logic relies on a weighted aggregation of three technical components. Users can toggle these components on or off in the settings to isolate specific market mechanics. A. Component 1: Bollinger %B (Relative Positioning) Logic: Measures where the price is located relative to the Bollinger Bands. Bullish Condition: If %B > 0.5 (Price is operating in the upper hemisphere of the bands). Bearish Condition: If %B < 0.0 (Price has broken below the lower band). Purpose: Filters out weak trends by ensuring price is statistically significant relative to its recent volatility. B. Component 2: CCI (Commodity Channel Index) Logic: Measures current price levels relative to an average price level over a specific period. Thresholds: A standard +100 / -100 threshold is used. Values above 100 add to the bullish score; values below -100 add to the bearish score. Purpose: Identifies cyclical momentum extremes. f_cci(_len) => cci_val = ta.cci(close, _len) val = 0 if cci_val > 100 val := 1 if cci_val < -100 val := -1 val C. Component 3: ROC (Rate of Change) Logic: Calculates the percentage change between the current price and the price n periods ago. Thresholds: Simple zero-line crossover. Positive ROC implies bullish velocity; negative implies bearish. Purpose: Provides a raw directional bias based on pure price speed. D. The Aggregation Engine: The script sums the active signals and divides by the number of active components. Bullish Trend: Composite Score > 0 (Visualized as Deep Navy). Bearish/Neutral: Composite Score ≤ 0 (Visualized as White). E. Multi-Timeframe (MTF) Capability: The indicator includes a request.security module. This allows you to calculate the consensus trend on a higher timeframe (e.g., Daily) while viewing price action on a lower timeframe (e.g., 15-minute), ensuring you are trading in alignment with the macro trend. // NEW: Timeframe Selection tf_input = input.timeframe("", "VCE Timeframe", group=grp_sets, tooltip="Empty = Current Chart. Set to 'D' for fixed Daily trend.") = request.security(syminfo.tickerid, tf_input, , lookahead=barmerge.lookahead_on) 3. Visualizations The indicator overlays the following elements on the chart: Trend SMMA: A central Smoothed Moving Average (SMMA 20) representing the mean. Volatility Bands: Upper and Lower bands calculated at 2 Standard Deviations from the SMMA. Bar Coloring: Navy Blue: Indicates a confirmed Volatility Expansion (Bullish Confluence). White: Indicates Neutrality, Retracement, or Bearish conditions. Dynamic Fills: The space between the bands fills with color to highlight the strength of the current regime. 4. How to Use Trend Following: Look for the bar color to switch to Navy. This indicates that momentum, volatility, and velocity have aligned bullishly. This is often an entry trigger for long positions. Exits: When the bars switch from Navy back to White/Gray, the volatility expansion has ceased or momentum is diverging. This serves as a warning to tighten stops or take profits. MTF Filter: Set the "VCE Timeframe" input to "D" (Daily). Trade on the H1 chart. Only take long positions when the Daily VCE paints the background/bands in the Bullish color. 5. Settings Bollinger %B: Adjust Length and Multiplier (Default: 20, 2.0). CCI: Adjust Length (Default: 23). ROC: Adjust Length (Default: 50). Signal Components: Toggle specific logic blocks on/off to customize the sensitivity of the composite score. VCE Timeframe: Select the resolution for the calculation (Leave empty for current chart). Disclaimer: This tool is for informational purposes only. Past performance of volatility expansion does not guarantee future results. Always manage risk appropriately.
Индикатор Pine Script®
от D_QUANT
SAl VWAP LITE SA Final VWAP — LITE (Beginner Guide) This strategy is designed to only take trades when 3 layers agree: Market posture (HTF = 1H VWAP direction) Mid confirmation (MID = 15m VWAP direction) Execution entry (your chart timeframe signal: SMA trend + VWAP + wick flip + RSI) It’s built to avoid chop by requiring trend + location + momentum + a reversal wick trigger. 1) What the script does (in plain English) A Long (green) signal happens only when ALL are true: ✅ HTF VWAP is bullish (price above VWAP on 1H) ✅ MID VWAP is bullish (price above VWAP on 15m) ✅ Execution trend is bullish (SMA3 > SMA8 AND close > SMA8) ✅ Price is above VWAP on your current chart ✅ The prior candle had an upper wick (bearish rejection wick) ✅ RSI is strong (RSI > 55 by default) A Short (red) signal happens only when ALL are true: ✅ HTF VWAP is bearish (price below VWAP on 1H) ✅ MID VWAP is bearish (price below VWAP on 15m) ✅ Execution trend is bearish (SMA3 < SMA8 AND close < SMA8) ✅ Price is below VWAP on your current chart ✅ The prior candle had a lower wick (bullish rejection wick) ✅ RSI is weak (RSI < 45 by default) If those aren’t met, candles stay gray = no trade / neutral. 2) How to add it on TradingView (step-by-step) Open TradingView Click Pine Editor (bottom panel) Paste the full script Click Save Click Add to chart Go to Strategy Tester (bottom) to view results If you want alerts: You can still create alerts for strategy orders, but it works best if we convert it to an indicator version with alert conditions. (If you want, tell me and I’ll generate that version.) 3) Best instruments to use it on This type of VWAP+trend+RSI filter works best on instruments with: High liquidity Clean trend behavior Tight spreads / stable fills Best: Index futures: NQ / ES Index ETFs: QQQ / SPY Very liquid mega caps: AAPL / MSFT / NVDA Avoid thin stocks or random low-volume names. 4) Best timeframes to run it on (beginner safe) ✅ Recommended execution timeframes (where entries trigger) 1 minute (fast, best if you’re experienced) 3 minute (balanced) 5 minute (most beginner friendly) ✅ Gate timeframes (already built in) HTF = 60 min MID = 15 min These should usually stay as-is. 5) How to interpret the candle colors Green candle = A valid LONG signal fired on that bar Red candle = A valid SHORT signal fired on that bar Gray candle = No signal (do nothing) This is important: Gray is a feature, not a problem. Gray means the system is protecting you from chop. 6) What “Strict Mode (HTF=MID)” really means When Strict Mode = ON: HTF and MID must agree exactly This reduces signals but improves quality When Strict Mode = OFF: HTF alone can allow direction More trades, more noise Beginner rule: keep Strict Mode ON. 7) How to trade it (simple beginner rules) Long trade rules Wait for a green candle (signal candle) Enter at the close of the candle (or next candle open) Use your stop (your script currently uses TP+SL inside strategy) Short trade rules Wait for a red candle Enter at the close (or next candle open) Respect stop loss Most important discipline rule Do not take trades “because it’s close.” Take only when the candle is green/red. 8) Why the wick rule is powerful This is a key “needle shifter.” Long requires prior bearish wick (upper wick): That shows sellers tried to push up resistance / reject price — and failed. If the market is still above VWAP + trend is up, that wick often marks a “dip-then-go” continuation. Short requires prior bullish wick (lower wick): Buyers tried to defend and push up — but got rejected. Under VWAP + downtrend + weak RSI, that wick often becomes the last pullback before continuation down. So the wick rule helps avoid entering mid-candle or late chase entries. 9) How to avoid the 100-point reversal problem you mentioned Those big reversals usually come from one of these: (A) Taking signals inside chop Fix: keep Strict Mode ON, and keep RSI thresholds. (B) Trading directly into a major support/resistance zone Fix: Avoid entries right at prior day high/low, overnight high/low, or major swing points Don’t short directly into support; don’t long into resistance (C) News spikes Fix: Avoid trading major news windows (CPI, FOMC, Powell, NFP) VWAP systems can get steamrolled temporarily during high-impact releases 10) Beginner settings I recommend (starting defaults) Keep these: Strict Mode = ✅ ON RSI Length = 14 RSI Bull > 55 RSI Bear < 45 SMA = 3 & 8 (as you have now) HTF = 60m, MID = 15m If you want fewer trades but higher quality: RSI Bull > 58 RSI Bear < 42 wickMinTicks = 2 (filters tiny meaningless wicks) 11) What you should NOT do (common beginner mistakes) ❌ Don’t take trades when candles are gray ❌ Don’t reverse immediately because the opposite color appears one candle later ❌ Don’t use this as a prediction tool — it’s a confirmation tool ❌ Don’t force trades in low volume periods (midday chop) 12) Best “times of day” to trade it (for index products) For NQ/ES/QQQ/SPY, the cleanest VWAP trend behavior is usually: 9:35–11:00 ET (best) 1:30–3:30 ET (good) Avoid 11:30–1:15 ET (chop zone) Why You Should Monitor the Strategy Report (Very Important) This script is intentionally published as a strategy, not just an indicator. That is by design. The Strategy Tester Report is a core part of how this tool should be evaluated. When you open the Strategy Tester tab in TradingView, you gain insight into: Win rate consistency across timeframes Drawdown behavior during choppy vs trending conditions How often signals occur (selectivity matters) Performance differences between 1m, 3m, and 5m charts The value of the HTF + MID gating logic during high-risk periods ⚠️ Do not judge this tool based on a handful of trades or one session. Its real value shows up when you observe: Fewer trades during chop Cleaner participation during directional sessions Reduced exposure during regime conflict This is exactly why the higher-timeframe VWAP posture and RSI/wick filters exist. 🧠 How to Use the Strategy Report Effectively (Beginner Tip) To properly evaluate the system: Apply the strategy to one instrument (ex: NQ, ES, QQQ) Test one execution timeframe at a time (1m, 3m, or 5m) Keep HTF = 60m and MID = 15m fixed Review results over multiple days, not single sessions Pay attention to: Max drawdown Trade clustering Losing streak behavior (this matters more than win rate alone) This will give you a much more realistic understanding of what the system is designed to do. 🔒 About This Script (Important Notice) This SA Final VWAP — LITE script is intentionally: Condensed Restricted Directionally gated Missing advanced logic layers It represents the last free public release of this VWAP-based framework. The full version includes additional proprietary components such as: Expanded regime classification Enhanced VWAP slope and acceptance logic Advanced no-trade zones Multi-setup prioritization Internal failure-state suppression Additional probabilistic filters not exposed here These components materially change behavior during difficult market conditions and are not included in this public script. 📩 For Serious Users / Full Version Access If you find this indicator useful, insightful, or different from typical TradingView tools, you are encouraged to reach out directly. This script is meant to: Demonstrate the core logic Allow you to validate performance via the strategy report Help you decide whether the full framework is appropriate for your trading 📬 For access to the complete version and additional attributes of the algorithm, contact the author directly. This separation is intentional to: Protect intellectual property Maintain system integrity Ensure serious users receive proper context and guidance 🧭 Final Note This is not a prediction tool. It is a confirmation and participation framework designed to operate when probability, structure, and momentum align. Gray candles are protection. Green and red candles are permission. Use it with patience, discipline, and proper evaluation — and let the strategy report tell you the real story.
Стратегия Pine Script®
от SignalArchitecT_AI
RSI Momentum & Trend Suite - O59 Elite QuantRSI Momentum & Trend Suite – O59 Elite Quant Professional Market Structure & Momentum Analysis Tool RSI Momentum & Trend Suite – O59 Elite Quant is a comprehensive technical analysis indicator designed to help traders better understand market momentum, trend structure, price reactions, and key support & resistance zones directly on the chart. This indicator combines RSI-based momentum analysis, dynamic bar coloring, price action signals, and automatic trend & support/resistance detection into a single, clean visual framework. 🔹 Momentum & Bar Coloring Logic The indicator includes a custom RSI momentum engine that evaluates short-term price changes and momentum strength. Candles are automatically colored when momentum reaches critical zones: Above 70 → Strong bullish momentum Below 30 → Strong bearish momentum This candle coloring helps traders instantly recognize momentum extremes without switching to a separate RSI pane. 🔺 Buy & Sell Triangle Signals The script generates triangle-based buy and sell signals based on a combination of: RSI oversold / overbought conditions Short-term price action behavior Candle structure and confirmation logic These signals are intended to highlight potential reaction zones, not to predict the market. They work best when used together with trend direction and support/resistance levels. 📈 Automatic Trend Detection The indicator automatically identifies ascending and descending trend structures using pivot-based swing analysis. Trendlines are drawn dynamically based on higher lows and lower highs Broken trendlines are automatically removed to keep the chart clean Both bullish and bearish trends are visually distinguished This allows traders to quickly assess whether the market is trending or losing structure. 🟦 Dynamic Support & Resistance Levels Key support and resistance levels are detected using recent pivot points: Levels extend forward in real time Broken levels are removed automatically Helps identify potential reaction, rejection, and liquidity zones These levels are designed to adapt continuously as market structure evolves. 🧾 Information Table & Visual Themes A customizable information table is displayed on the chart, showing: Indicator name Current symbol Active timeframe Author branding Users can choose between multiple visual themes, allowing better readability and personal preference while maintaining a professional appearance. ⚠️ Important Notes & Risk Disclaimer This indicator is designed as a technical analysis support tool only. It does not provide financial advice Signals and visual elements should not be used alone Always confirm signals with your own strategy, risk management, and market context ⚠️ Special caution is advised during: Low-volume sessions Weekend price action High-impact news events Thin liquidity hours Market conditions during these periods may produce false signals or reduced reliability. 📌 Final Disclaimer This indicator is for educational and analytical purposes only. It is not investment advice. All trading decisions remain the sole responsibility of the use
Индикатор Pine Script®
от olcaybilgu32
Blockcircle FTR - Follow Through ReversalWHAT THIS INDICATOR DOES Blockcircle FTR identifies failed directional moves followed by quality reversals. The indicator tracks structural pivot levels, monitors price interactions with those levels, and validates reversal sequences against a configurable threshold. A trend filter provides macro context so you can evaluate whether signals align with or oppose the broader direction. KEY FEATURES Reversal quality filtering via delivery threshold requirement Sweep confirmation when reversals follow liquidity grabs at structural levels ATR-adaptive origin zones marking reversal starting points Trend alignment indicator comparing signal bias to moving average direction Volume validation filter for participation confirmation Real-time dashboard with signal statistics and alignment status DETAILED BREAKDOWN Structural Level Tracking The indicator identifies pivot highs and lows based on the Structure Lookback parameter. These pivots serve as reference levels where liquidity typically accumulates. Levels remain active until price interacts with them or they exceed the Level Lifespan setting. When the price reaches a structural level, this interaction is logged. If a reversal then forms in the opposite direction within the Sweep Window, the signal qualifies as sweep-confirmed, indicating that stops were likely triggered before the move reversed. FTR Detection Logic The core detection looks for a specific sequence: a directional attempt that fails to follow through, followed by a counter-move that meets the Delivery Threshold ratio. This ratio measures the quality of the reversal relative to the failed move's structure. Higher threshold values (closer to 1.0) require cleaner, more convincing reversals. Lower values (closer to 0.1) allow weaker setups through. The default of 0.7 provides reasonable filtering without being overly restrictive. Trend Context Filter A moving average (EMA or SMA, configurable period) provides simple trend context. The dashboard displays three related metrics: Trend: Current price position relative to the MA (Bullish/Bearish) FTR Bias: Direction of the most recent confirmed signal (Long/Short) Aligned: Whether these two readings match (Yes/No) This helps identify situations where the FTR bias has become stale or is positioned against the prevailing trend. Signal Classification Standard signals appear as small triangles and represent FTR patterns that passed the delivery threshold and any active filters. Sweep-confirmed signals appear with an "S" label and represent the subset of signals where price swept a structural level shortly before the reversal formed. These carry higher conviction due to the additional liquidity context. Dashboard Metrics The information panel provides: Current trend direction and FTR bias Alignment status between the two Bars elapsed since the last signal Running totals for long and short signals Sweep-confirmed counts in parentheses Volume filter status Configuration Parameters Structure Lookback: Bars used for pivot detection. Higher values capture more significant swings. Delivery Threshold: Minimum ratio for valid reversals. Range 0.1 to 1.0. Level Lifespan: The maximum bars a structural level remains active. Sweep Window: Lookback period for sweep confirmation. Trend MA Period: Moving average length for trend context. Volume Spike Multiple: Required volume ratio when volume filter is active. Zone Depth: Origin zone width as ATR multiple. Practical Application Sweep-confirmed signals with trend alignment represent the highest-conviction setups. These combine a quality reversal pattern, liquidity sweep context, and trend support. Standard signals without sweep confirmation remain valid FTR patterns but warrant additional discretion. Counter-trend signals (Aligned showing NO) can still produce valid moves, but historically carry lower probability. Consider position sizing adjustments accordingly. Origin zones serve as potential support/resistance areas for subsequent price returns. Important Limitations The indicator may remain biased in the wrong direction during extended trends if no qualifying reversal pattern forms. The trend filter helps identify these situations, but does not automatically override the FTR bias. Signal counts are calculated on visible chart history and will vary based on the loaded timeframe and bar count. As with any technical tool, signals should be evaluated within the broader market context rather than traded mechanically. Hope you find it useful! If you have any questions, please don't hesitate to ask them!
Индикатор Pine Script®
от blockcircle
2
BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes. While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful. █ Why QuantFlow ? Quant (The Engine): This replaces subjective guessing with objective math. Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure. █ Core Logic & Philosophy To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things: Peace: Nothing is happening. No one is buying or selling. War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive. A single line hides this reality. QuantFlow splits the market into two separate scores: Bull Score (Green Line): How hard are the buyers pushing? Bear Score (Red Line): How hard are the sellers pushing? The Layman's Advantage: If both lines are low = Sleepy Market (Avoid). If Green is high and Red is low = Clean Uptrend (Buy). If Red is high and Green is low = Clean Downtrend (Sell). If both lines are high = Chaos/War Zone (Wait). █ How it Weight "Sustenance" (The Critical Quality Check) This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?" Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110. Verdict : Buyers pushed up and sustained the price. QuantFlow Weight : 100%. This is a high-quality move. Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102. Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick). QuantFlow Weight : 20%. This is treated as "Noise" or a trap. By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators. Comparisons: QuantFlow vs. The Rest Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting). Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle. Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction. Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility. █ Dynamic Volatility Filtering Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals. The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios. The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries: Scenario A: Inside the Noise (The Filter) If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise. Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets. Scenario B: Outside the Noise (The Breakout) If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event). Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone. █ The ⚠️ "Warning" System (Heads-up for Smart Reversals) While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making █ Special Utility: Ghost Mode For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat. Ghost Mode is a unique feature that runs silently in the background: At Square-off: The strategy closes your official position to satisfy the broker. In the Background: It keeps the trade "alive" virtually (Ghost). Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session. █ Advice on this indicator: Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these. Low Volatility Assets: Reduce Stop Multiplier to 2.0. High Volatility Assets: Increase Momentum Lookback to 50 to filter noise. Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.
Стратегия Pine Script®
от TradeWiseWithEase
2
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy WHAT THIS STRATEGY IS CryptoFlux Dynamo is an open-source Pine Script v6 strategy designed for momentum-based scalping on cryptocurrency perpetual futures. It combines multiple technical analysis methods into a unified system that adapts its behavior based on current market volatility conditions. This script is published open-source so you can read, understand, and modify the complete logic. The description below explains everything the strategy does so that traders who cannot read Pine Script can fully understand how it works before using it. HOW THIS STRATEGY IS ORIGINAL AND WHY THE INDICATORS ARE COMBINED This strategy uses well-known indicators (MACD, EMA, RSI, MFI, Bollinger Bands, Keltner Channels, ATR). The originality is not in the individual indicators themselves, but in the specific way they are integrated into a regime-adaptive system. Here is the detailed justification for why these components are combined and how they work together: The Problem Being Solved: Standard indicator-based strategies use fixed thresholds. For example, a typical MACD strategy might enter when the histogram crosses above zero. However, in cryptocurrency markets, volatility changes dramatically throughout the day and week. A MACD crossover during a low-volatility consolidation period has very different implications than the same crossover during a high-volatility trending period. Using the same entry thresholds and stop distances in both conditions leads to either: Too many false signals during consolidation (if thresholds are loose) Missing valid opportunities during expansion (if thresholds are tight) Stops that are too tight during volatility spikes (causing premature exits) Stops that are too wide during compression (giving back profits) The Solution Approach: This strategy first classifies the current volatility regime using normalized ATR (ATR as a percentage of price), then dynamically adjusts ALL other parameters based on that classification. This creates a context-aware system rather than a static threshold comparison. How Each Component Contributes to the System: ATR-Based Regime Classification (The Foundation) The strategy calculates ATR over 21 periods, smooths it with a 13-period EMA to reduce noise from wicks, then divides by price to get a normalized percentage. This ATR% is classified into three regimes: - Compression (ATR% < 0.8%): Market is consolidating, breakouts are more likely but false signals are common - Expansion (ATR% 0.8% - 1.6%): Normal trending conditions - Velocity (ATR% > 1.6%): High volatility, larger moves but also larger adverse excursions This regime classification then controls stop distances, profit targets, trailing stop offsets, and signal strength requirements. The regime acts as a "meta-parameter" that tunes the entire system. EMA Ribbon (8/21/34) - Trend Structure Detection The three EMAs establish trend direction and structure. When EMA 8 > EMA 21 > EMA 34, the trend structure is bullish. The slope of the middle EMA (21) is calculated over 8 bars and converted to degrees using arctangent. This slope measurement quantifies trend strength, not just direction. Why these specific periods? The 8/21/34 sequence follows Fibonacci-like spacing and provides good separation on 5-minute cryptocurrency charts. The fast EMA (8) responds to immediate price action, the mid EMA (21) represents the short-term trend, and the slow EMA (34) acts as a trend filter. The EMA ribbon works with the regime classification: during compression regimes, the strategy requires stronger ribbon alignment before entry because false breakouts are more common. MACD (8/21/5) - Momentum Measurement The MACD uses faster parameters (8/21/5) than the standard (12/26/9) because cryptocurrency markets move faster than traditional markets. The histogram is smoothed with a 5-period EMA to reduce noise. The key innovation is the adaptive histogram baseline. Instead of using a fixed threshold, the strategy calculates a rolling baseline from the smoothed absolute histogram value, then multiplies by a sensitivity factor (1.15). This means the threshold for "significant momentum" automatically adjusts based on recent momentum levels. The MACD works with the regime classification: during velocity regimes, the histogram baseline is effectively higher because recent momentum has been stronger, preventing entries on relatively weak momentum. RSI (21 period) and MFI (21 period) - Independent Momentum Confirmation RSI measures momentum using price changes only. MFI (Money Flow Index) measures momentum using price AND volume. By requiring both to confirm, the strategy filters out price moves that lack volume support. The 21-period length is longer than typical (14) to reduce noise on 5-minute charts. The trigger threshold (55 for longs, 45 for shorts) is slightly offset from 50 to require momentum in the trade direction, not just neutral readings. These indicators work together: a signal requires RSI > 55 AND MFI > 55 for longs. This dual confirmation reduces false signals from price manipulation or low-volume moves. Bollinger Bands (1.5 mult) and Keltner Channels (1.8 mult) - Squeeze Detection When Bollinger Bands contract inside Keltner Channels, volatility is compressing and a breakout is likely. This is the "squeeze" condition. When the bands expand back outside the channels, the squeeze "releases." The strategy uses a 1.5 multiplier for Bollinger Bands (tighter than standard 2.0) and 1.8 for Keltner Channels. These values were chosen to identify meaningful squeezes on 5-minute cryptocurrency charts without triggering too frequently. The squeeze detection works with the regime classification: squeeze releases during compression regimes receive additional signal strength points because breakouts from consolidation are more significant. Volume Impulse Detection - Institutional Participation Filter The strategy calculates a volume baseline (34-period SMA) and standard deviation. A "volume impulse" is detected when current volume exceeds the baseline by 1.15x OR when the volume z-score exceeds 0.5. This filter ensures entries occur when there is meaningful market participation, not during low-volume periods where price moves are less reliable. Volume impulse is required for all entries and adds points to the composite signal strength score. Cycle Oscillator - Trend Alignment Filter The strategy calculates a 55-period EMA as a cycle basis, then measures price deviation from this basis as a percentage. When price is more than 0.15% above the cycle basis, the cycle is bullish. When more than 0.15% below, the cycle is bearish. This filter prevents counter-trend entries. Long signals require bullish cycle alignment; short signals require bearish cycle alignment. BTC Dominance Filter (Optional) - Market Regime Filter The strategy can optionally use BTC.D (Bitcoin Dominance) as a market regime filter. When BTC dominance is rising (slope > 0.12), the market is in "risk-off" mode and long entries on altcoins are filtered. When dominance is falling (slope < -0.12), short entries are filtered. This filter is optional because the BTC.D data feed may lag during low-liquidity periods. How The Components Work Together (The Mashup Justification): The strategy uses a composite scoring system where each signal pathway contributes points: Trend Break pathway (30 points): Requires EMA ribbon alignment + positive slope + price breaks above recent structure high Momentum Surge pathway (30 points): Requires MACD histogram > adaptive baseline + MACD line > signal + RSI > 55 + MFI > 55 + volume impulse Squeeze Release pathway (25 points): Requires BB inside KC (squeeze) then release + momentum bias + histogram confirmation Micro Pullback pathway (15 points): Requires shallow retracement to fast EMA within established trend + histogram confirmation + volume impulse Additional modifiers: +5 points if volume impulse is present, -5 if absent +5 points in velocity regime, -2 in compression regime +5 points if cycle is aligned, -5 if counter-trend A trade only executes when the composite score reaches the minimum threshold (default 55) AND all filters agree (session, cycle bias, BTC dominance if enabled). This scoring system is the core innovation: instead of requiring ALL conditions to be true (which would generate very few signals) or ANY condition to be true (which would generate too many false signals), the strategy requires ENOUGH conditions to be true, with different conditions contributing different weights based on their reliability. HOW THE STRATEGY CALCULATES ENTRIES AND EXITS Entry Logic: 1. Calculate current volatility regime from ATR% 2. Calculate all indicator values (MACD, EMA, RSI, MFI, squeeze, volume) 3. Evaluate each signal pathway and sum points 4. Check all filters (session, cycle, dominance, kill switch) 5. If composite score >= 55 AND all filters pass, generate entry signal 6. Calculate position size based on risk per trade and regime-adjusted stop distance 7. Execute entry with regime name as comment Position Sizing Formula: RiskCapital = Equity * (0.65 / 100) StopDistance = ATR * StopMultiplier(regime) RawQuantity = RiskCapital / StopDistance MaxQuantity = Equity * (12 / 100) / Price Quantity = min(RawQuantity, MaxQuantity) Quantity = round(Quantity / 0.001) * 0.001 This ensures each trade risks approximately 0.65% of equity regardless of volatility, while capping total exposure at 12% of equity. Stop Loss Calculation: Stop distance is ATR multiplied by a regime-specific multiplier: Compression regime: 1.05x ATR (tighter stops because moves are smaller) Expansion regime: 1.55x ATR (standard stops) Velocity regime: 2.1x ATR (wider stops to avoid premature exits during volatility) Take Profit Calculation: Target distance is ATR multiplied by regime-specific multiplier and base risk/reward: Compression regime: 1.6x ATR * 1.8 base R:R * 0.9 regime bonus = approximately 2.6x ATR Expansion regime: 2.05x ATR * 1.8 base R:R * 1.0 regime bonus = approximately 3.7x ATR Velocity regime: 2.8x ATR * 1.8 base R:R * 1.15 regime bonus = approximately 5.8x ATR Trailing Stop Logic: When adaptive trailing is enabled, the strategy calculates a trailing offset based on ATR and regime: Compression regime: 1.1x base offset (looser trailing to avoid noise) Expansion regime: 1.0x base offset (standard) Velocity regime: 0.8x base offset (tighter trailing to lock in profits during fast moves) The trailing stop only activates when it would be tighter than the initial stop. Momentum Fail-Safe Exits: The strategy closes positions early if momentum reverses: Long positions close if MACD histogram turns negative OR EMA ribbon structure breaks (fast EMA crosses below mid EMA) Short positions close if MACD histogram turns positive OR EMA ribbon structure breaks This prevents holding through momentum reversals even if stop loss hasn't been hit. Kill Switch: If maximum drawdown exceeds 6.5%, the strategy disables new entries until manually reset. This prevents continued trading during adverse conditions. HOW TO USE THIS STRATEGY Step 1: Apply to Chart Use a 5-minute chart of a high-liquidity cryptocurrency perpetual (BTC/USDT, ETH/USDT recommended) Ensure at least 200 bars of history are loaded for indicator stabilization Use standard candlestick charts only (not Heikin Ashi, Renko, or other non-standard types) Step 2: Understand the Visual Elements EMA Ribbon: Three lines (8/21/34 periods) showing trend structure. Bullish when stacked upward, bearish when stacked downward. Background Color: Shows current volatility regime - Indigo/dark blue = Compression (low volatility) - Purple = Expansion (normal volatility) - Magenta/pink = Velocity (high volatility) Bar Colors: Reflect signal strength divergence. Brighter colors indicate stronger directional bias. Triangle Markers: Entry signals. Up triangles below bars = long entry. Down triangles above bars = short entry. Dashboard (top-right): Real-time display of regime, ATR%, signal strengths, position status, stops, targets, and risk metrics. Step 3: Interpret the Dashboard Regime: Current volatility classification (Compression/Expansion/Velocity) ATR%: Normalized volatility as percentage of price Long/Short Strength: Current composite signal scores (0-100) Cycle Osc: Price deviation from 55-period EMA as percentage Dominance: BTC.D slope and filter status Position: Current position direction or "Flat" Stop/Target: Current stop loss and take profit levels Kill Switch: Status of drawdown protection Volume Z: Current volume z-score Impulse: Whether volume impulse condition is met Step 4: Adjust Parameters for Your Needs For more conservative trading: Increase "Minimum Composite Signal Strength" to 65 or higher For more aggressive trading: Decrease to 50 (but expect more false signals) For higher timeframes (15m+): Increase "Structure Break Window" to 12-15, increase "RSI Momentum Trigger" to 58 For lower liquidity pairs: Increase "Volume Impulse Multiplier" to 1.3, increase slippage in strategy properties To disable short selling: Uncheck "Enable Short Structure" To disable BTC dominance filter: Uncheck "BTC Dominance Confirmation" STRATEGY PROPERTIES (BACKTEST SETTINGS) These are the exact settings used in the strategy's Properties dialog box. You must use these same settings when evaluating the backtest results shown in the publication: Initial Capital: $100,000 Justification: This amount is higher than typical retail accounts. I chose this value to demonstrate percentage-based returns that scale proportionally. The strategy uses percentage-based position sizing (0.65% risk per trade), so a $10,000 account would see the same percentage returns with 10x smaller position sizes. The absolute dollar amounts in the backtest should be interpreted as percentages of capital. Commission: 0.04% (commission_value = 0.04) Justification: This reflects typical perpetual futures exchange fees. Major exchanges charge between 0.02% (maker) and 0.075% (taker). The 0.04% value is a reasonable middle estimate. If your exchange charges different fees, adjust this value accordingly. Higher fees will reduce net profitability. Slippage: 1 tick Justification: This is conservative for liquid pairs like BTC/USDT on major exchanges during normal conditions. For less liquid altcoins or during high volatility, actual slippage may be higher. If you trade less liquid pairs, increase this value to 2-3 ticks for more realistic results. Pyramiding: 1 Justification: No position stacking. The strategy holds only one position at a time. This simplifies risk management and prevents overexposure. calc_on_every_tick: true Justification: The strategy evaluates on every price update, not just bar close. This is necessary for scalping timeframes where waiting for bar close would miss opportunities. Note that this setting means backtest results may differ slightly from bar-close-only evaluation. calc_on_order_fills: true Justification: The strategy recalculates immediately after order fills for faster response to position changes. RISK PER TRADE JUSTIFICATION The default risk per trade is 0.65% of equity. This is well within the TradingView guideline that "risking more than 5-10% on a trade is not typically considered viable." With the 12% maximum exposure cap, even if the strategy takes multiple consecutive losses, the total risk remains manageable. The kill switch at 6.5% drawdown provides additional protection by halting new entries during adverse conditions. The position sizing formula ensures that stop distance (which varies by regime) is accounted for, so actual risk per trade remains approximately 0.65% regardless of volatility conditions. SAMPLE SIZE CONSIDERATIONS For statistically meaningful backtest results, you should select a dataset that generates at least 100 trades. On 5-minute BTC/USDT charts, this typically requires: 2-3 months of data during normal market conditions 1-2 months during high-volatility periods 3-4 months during low-volatility consolidation periods The strategy's selectivity (requiring 55+ composite score plus all filters) means it generates fewer signals than less filtered approaches. If your backtest shows fewer than 100 trades, extend the date range or reduce the minimum signal strength threshold. Fewer than 100 trades produces statistically unreliable results. Win rate, profit factor, and other metrics can vary significantly with small sample sizes. STRATEGY DESIGN COMPROMISES AND LIMITATIONS Every strategy involves trade-offs. Here are the compromises made in this design and the limitations you should understand: Selectivity vs. Opportunity Trade-off The 55-point minimum threshold filters many potential trades. This reduces false signals but also misses valid setups that don't meet all criteria. Lowering the threshold increases trade frequency but decreases win rate. There is no "correct" threshold; it depends on your preference for fewer higher-quality signals vs. more signals with lower individual quality. Regime Classification Lag The ATR-based regime detection uses historical data (21 periods + 13-period smoothing). It cannot predict sudden volatility spikes. During flash crashes or black swan events, the strategy may be classified in the wrong regime for several bars before the classification updates. This is an inherent limitation of any lagging indicator. Indicator Parameter Sensitivity The default parameters (MACD 8/21/5, EMA 8/21/34, RSI 21, etc.) are tuned for BTC/ETH perpetuals on 5-minute charts during 2024 market conditions. Different assets, timeframes, or market regimes may require different parameters. There is no guarantee that parameters optimized on historical data will perform similarly in the future. BTC Dominance Filter Limitations The CRYPTOCAP:BTC.D data feed may lag during low-liquidity periods or weekends. The dominance slope calculation uses a 5-bar SMA, adding additional delay. If you notice the filter behaving unexpectedly, consider disabling it. Backtest vs. Live Execution Differences TradingView backtesting does not replicate actual broker execution. Key differences: Backtests assume perfect fills at calculated prices; real execution involves order book depth, latency, and partial fills The calc_on_every_tick setting improves backtest realism but still cannot capture sub-bar price action or order book dynamics Commission and slippage settings are estimates; actual costs vary by exchange, time of day, and market conditions Funding rates on perpetual futures are not modeled in backtests and can significantly impact profitability over time Exchange-specific limitations (position limits, liquidation mechanics, order types) are not modeled Market Condition Dependencies This strategy is designed for trending and breakout conditions. During extended sideways consolidation with no clear direction, the strategy may generate few signals or experience whipsaws. No strategy performs well in all market conditions. Cryptocurrency-Specific Risks Cryptocurrency markets operate 24/7 without session boundaries. This means: No natural "overnight" risk reduction Volatility can spike at any time Liquidity varies significantly by time of day Exchange outages or issues can occur at any time WHAT THIS STRATEGY DOES NOT DO To be straightforward about limitations: This strategy does not guarantee profits. Past backtest performance does not indicate future results. This strategy does not predict the future. It reacts to current conditions based on historical patterns. This strategy does not account for funding rates, which can significantly impact perpetual futures profitability. This strategy does not model exchange-specific execution issues (partial fills, requotes, outages). This strategy does not adapt to fundamental news events or black swan scenarios. This strategy is not optimized for all market conditions. It may underperform during extended consolidation. IMPORTANT RISK WARNINGS Past performance does not guarantee future results. The backtest results shown reflect specific historical market conditions and parameter settings. Markets change constantly, and strategies that performed well historically may underperform or lose money in the future. A single backtest run does not constitute proof of future profitability. Trading involves substantial risk of loss. Cryptocurrency derivatives are highly volatile instruments. You can lose your entire investment. Only trade with capital you can afford to lose completely. This is not financial advice. This strategy is provided for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or any form of financial guidance. The author is not a licensed financial advisor. You are responsible for your own decisions. Before using this strategy with real capital: Thoroughly understand the code and logic by reading the open-source implementation Forward test with paper trading or very small positions for an extended period Verify that commission, slippage, and execution assumptions match your actual trading environment Understand that live results will differ from backtest results Consider consulting with a qualified financial advisor No guarantees or warranties. This strategy is provided "as is" without any guarantees of profitability, accuracy, or suitability for any purpose. The author is not responsible for any losses incurred from using this strategy. OPEN-SOURCE CODE STRUCTURE The strategy code is organized into these sections for readability: Configuration Architecture: Input parameters organized into logical groups (Core Controls, Optimization Constants, Regime Intelligence, Signal Pathways, Risk Architecture, Visualization) Helper Functions: calcQty() for position sizing, clamp01() and normalize() for value normalization, calcMFI() for Money Flow Index calculation Core Indicator Engine: EMA ribbon, ATR and regime classification, MACD with adaptive baseline, RSI, MFI, volume analytics, cycle oscillator, BTC dominance filter, squeeze detection Signal Pathway Logic: Trend break, momentum surge, squeeze release, micro pullback pathways with composite scoring Entry/Exit Orchestration: Signal filtering, position sizing, entry execution, stop/target calculation, trailing stop logic, momentum fail-safe exits Visualization Layer: EMA plots, regime background, bar coloring, signal labels, dashboard table You can read and modify any part of the code. Understanding the logic before deployment is strongly recommended. - Made with passion by officialjackofalltrades
Стратегия Pine Script®
от officialjackofalltrades
QUANT TRADING ENGINE [PointAlgo]Quant Trading Engine is a quantitative market-analysis indicator that combines multiple statistical factors to study trend behavior, mean reversion, volatility, execution efficiency, and market stability. The indicator converts raw price behavior into standardized signals to help evaluate directional bias and risk conditions in a systematic way. This script focuses on factor alignment and regime awareness, not prediction certainty. Design Philosophy Markets move through different regimes such as trending, ranging, volatile expansion, and instability. This indicator attempts to model these regimes by blending: Momentum strength Mean-reversion pressure Volatility risk Trend filtering Execution context (VWAP) Correlation structure Each component is normalized and combined into a single Quant Alpha framework. Factor Construction 1. Momentum Factor Measures directional strength using percentage price change over a rolling window. Standardized using mean and standard deviation. Represents trend continuation pressure. 2. Mean Reversion Factor Measures deviation from a longer moving average. Standardized to identify stretched conditions. Designed to capture counter-trend behavior. Directional Clamping Mean-reversion signals are dynamically restricted: No counter-trend buying during downtrends. No counter-trend selling during uptrends. Allows both sides only in neutral regimes. This prevents conflicting signals in strong trends. 3. Volatility Factor Uses realized volatility derived from price changes. Penalizes environments where volatility deviates significantly from its norm. Acts as a risk adjustment rather than a directional driver. 4. Composite Quant Alpha The final Quant Alpha is a weighted blend of: Momentum Mean reversion (trend-clamped) Volatility risk The composite is standardized into a Z-score, allowing consistent interpretation across instruments and timeframes. Signal Logic Buy signal occurs when Quant Alpha crosses above zero. Sell signal occurs when Quant Alpha crosses below zero. Zero-cross logic is used to represent shifts from negative to positive statistical bias and vice versa. Signals reflect statistical regime change, not trade instructions. Volatility Smile Context Measures price deviation from its statistical distribution. Identifies skewed conditions where upside or downside volatility becomes dominant. Highlights extreme deviations that may imply elevated derivative risk. Exotic Risk Conditions Detects sudden price expansion combined with volatility spikes. Highlights environments where execution and risk become unstable. Visual background cues are used for awareness only. Execution Context (VWAP) Measures price distance from VWAP. Used to assess execution efficiency rather than direction. Helps identify stretched conditions relative to average traded price. Correlation Structure Evaluates short-term return correlations. Detects when price behavior becomes less predictable. Flags structural instability rather than trend direction. Visualization The indicator plots: Quant Alpha (scaled) with directional coloring Volatility smile deviation Price vs VWAP distance Correlation structure Signal markers indicate Quant Alpha zero-cross events and risk conditions. Dashboard A compact dashboard summarizes: Trend filter state Quant Alpha polarity and value Individual factor readings Current action state (Buy / Sell / Wait / Risk) The dashboard provides a real-time snapshot of internal model conditions. Usage Notes Designed for analytical interpretation and research. Best used alongside price action and risk management tools. Factor behavior depends on instrument liquidity and volatility. Not optimized for illiquid or irregular markets. Disclaimer This script is provided for educational and analytical purposes only. It does not provide financial, investment, or trading advice. All outputs should be independently validated before making any trading decisions.
Индикатор Pine Script®
от pointalgo
Filtered TEMA CrossoverFiltered Dual TEMA Crossover This indicator is a trend-following tool based on the classic Dual Triple Exponential Moving Average (TEMA) Crossover strategy, enhanced with two robust filters: the Chop Index and the Average Directional Index (ADX). The TEMA is known for its low lag and high responsiveness, making the crossover an effective signal for trend reversals. However, trading TEMA crossovers during sideways, choppy markets often leads to false signals. This is where the filters come in. Key Features ▪️Dual TEMA Crossover: Plots two customizable TEMA lines (Fast and Slow) for clear visualization of the primary trend direction. ▪️Intelligent Signal Filtering: Buy and Sell signals are generated only when the market confirms it is in a trending state, thanks to two integrated filters: ➖Chop Index Filter: Blocks signals when the market is detected as sideways or consolidating (Chop Index reading above a user-defined threshold). ➖ADX Filter: Ensures signals are only taken when the trend strength is sufficient (ADX reading above a user-defined minimum threshold). ▪️Customizable Signals: Full control over the signal shapes (Arrows, Triangles, etc.), colors, text, and size. How to Use It Use the Filtered Dual TEMA Crossover to enter positions on trend continuation or reversal while dramatically reducing exposure to low-quality, whipsawing signals common in non-trending environments. Before the filters: After the filters: Minimize Noise. Maximize Clarity. Trade the Trend.
Индикатор Pine Script®
от ZAUTEC
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals. What it shows: Purple %K line → bearish momentum strengthening Yellow %D line → bullish momentum building and smoothing Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers Midline at 50 → balance point where momentum shifts between bull- and bear-side control Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart How to read it: Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups Lines stacked and moving together → strong, cleaner momentum Lines crossing repeatedly → low-conviction, choppy conditions OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick Why it’s different: Classic Stoch RSI is hyper-sensitive and mostly noise. VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
Индикатор Pine Script®
от Vectorcoresai
VCAI RSI Divergence +VCAI RSI Divergence+ is an RSI that shows trend, momentum, and divergence using V-CoresAI colour logic instead of a single white line. What it shows: Yellow RSI line → bullish momentum (RSI above its MA; buy-side pressure in control) Purple RSI line → bearish momentum (RSI below its MA; sell-side pressure in control) Thin blue line → fast RSI moving average that drives the colour flips Dashed 70/30 lines → classic OB/OS zones Background bands → soft purple in OB, soft yellow in OS to mark exhaustion areas How to read it: Yellow & rising → momentum shifting bullish; pullbacks into yellow OS band can be accumulation zones Purple & falling → momentum shifting bearish; pushes into purple OB band can be distribution/sell zones Hard colour flips (yellow ↔ purple) mark trend regime changes, not minor RSI noise Divergence mode (on/off) The divergence engine scans RSI and price pivot structure: Bullish divergence (yellow) → price lower low + RSI higher low Bearish divergence (purple) → price higher high + RSI lower high Lines and tags appear only where a meaningful disagreement between price and RSI exists, giving early context for potential reversals or fade setups. Together, the momentum colours + optional divergence mapping give a far clearer market read than a standard RSI, with zero clutter and no guesswork.
Индикатор Pine Script®
от Vectorcoresai
FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum. What This Indicator Does Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite Applies EMA smoothing to reduce noise while preserving responsiveness Displays overbought/oversold zones with optional background highlighting Generates buy/sell signals when the oscillator crosses its signal line in favorable zones Provides a real-time dashboard showing current state, momentum direction, and efficiency Core Components Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts The final composite is smoothed twice using EMA to create both a fast line and a signal line. Signal Logic // Buy signal: crossover in lower half buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50 // Sell signal: crossunder in upper half sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50 Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it. Dashboard Information The on-chart table displays: Current oscillator value with gradient coloring Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral) Momentum direction and acceleration Efficiency ratio percentage Active signal status Inputs Overview RSI Length — Period for RSI calculation (default: 14) ROC Length — Period for rate of change (default: 10) Smoothing Length — EMA smoothing period (default: 3) Overbought/Oversold Levels — Threshold levels for zone detection Await Bar Confirmation — Wait for bar close before triggering alerts How to Use It Watch for crossovers between the main line and signal line Use overbought/oversold zones to identify potential reversal areas Monitor the histogram for momentum acceleration or deceleration Combine with price action analysis for confirmation Alerts Buy Signal — Bullish crossover in the lower zone Sell Signal — Bearish crossunder in the upper zone Overbought/Oversold Crosses — Level threshold crossings This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions. — Made with passion by officialjackofalltrades
Индикатор Pine Script®
от officialjackofalltrades
Trend Vector Pro v2.0Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools 🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Стратегия Pine Script®
от mbedaiwi2
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring. Core Principles The strategy operates on the principle of multi-timeframe confluence, requiring agreement between: Market structure breaks (CHOCH/BOS) on a higher timeframe Dual MACD momentum confirmation (classic and crypto-tuned profiles) Trend alignment via directional EMAs Volatility and volume filters Quality score composite threshold Strategy Components Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H). Dual MACD Fusion : Requires agreement between two MACD configurations: Classic MACD: 12/26/9 (default) Fusion MACD: 8/21/5 (default, optimized for crypto volatility) Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation. Trend Alignment : Uses two EMAs for directional bias: Directional EMA: 55 periods (default) Execution Trend Guide: 34 periods (default) Both must align with trade direction. ATR Risk Management : All risk parameters are expressed in ATR multiples: Stop Loss: 1.5 × ATR (default) Take Profit: 3.0 × ATR (default) Trail Activation: 1.0 × ATR profit required (default) Trail Distance: 1.5 × ATR behind price (default) Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA. Quality Score Gate : Composite score (0-1) combining: Structure alignment (0.0-1.0) Momentum strength (0.0-1.0) Trend alignment (0.0-1.0) ATR volatility score (0.0-1.0) Volume intensity (0.0-1.0) Default threshold: 0.62. Trades only execute when quality score exceeds this threshold. Execution Discipline : Trade budgeting system: Maximum trades per session: 6 (default) Cooldown bars between entries: 5 (default) Quality Assurance Console : Real-time monitoring panel displaying: Structure status (pass/fail) Momentum confirmation (pass/fail) Volatility readiness (pass/fail) Quality score (pass/fail) Discipline compliance (pass/fail) Performance metrics (win rate, profit factor) Net PnL Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit. Integrity Suite : Optional validation panel that audits: Configuration sanity checks ATR data readiness EMA hierarchy validity Performance realism checks Strategy Settings strategy( title="ChronoPulse MS-MACD Resonance Strategy", shorttitle="ChronPulse", overlay=true, max_labels_count=500, max_lines_count=500, initial_capital=100000, currency=currency.USD, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.015, slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=2.0, calc_on_order_fills=true, calc_on_every_tick=true, process_orders_on_close=true ) Key Input Parameters Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis Structure Pivot Left/Right : 3/3 - Pivot confirmation periods Structure Break Buffer : 0.15% - Buffer for structure break confirmation MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters Directional EMA Length : 55 - Primary trend filter Execution Trend Guide : 34 - Secondary trend filter ATR Length : 14 - ATR calculation period ATR Stop Multiplier : 1.5 - Stop loss in ATR units ATR Target Multiplier : 3.0 - Take profit in ATR units Trail Activation : 1.0 ATR - Profit required before trailing Trail Distance : 1.5 ATR - Distance behind price Volume Threshold : 1.4× - Volume surge multiplier Quality Threshold : 0.62 - Minimum quality score (0-1) Max Trades Per Session : 6 - Daily trade limit Cooldown Bars : 5 - Bars between entries Win-Rate Target : 40% - Minimum for QA certification Profit Factor Target : 1.4 - Minimum for QA certification Minimum Trades for QA : 25 - Required closed trades Signal Generation Logic A trade signal is generated when ALL of the following conditions are met: Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break Both MACD profiles agree on direction (if fusion enabled) Price is above both EMAs for longs (below for shorts) ATR data is ready and above minimum threshold Volume exceeds threshold × SMA (if volume gate enabled) Quality score ≥ quality threshold Trade budget available (under max trades per day) Cooldown period satisfied Risk Management Stop loss and take profit are set immediately on entry Trailing stop activates after 1.0 ATR of profit Trailing stop maintains 1.5 ATR distance behind highest profit point Position sizing uses 2% of equity per trade (default) No pyramiding (single position per direction) Limitations and Considerations The strategy requires sufficient historical data for higher timeframe structure analysis Quality gate may filter out many potential trades, reducing trade frequency Performance metrics are based on historical backtesting and do not guarantee future results Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker The strategy is optimized for trending markets with clear structure breaks Choppy or ranging markets may produce false signals Crypto markets may require different parameter tuning than traditional assets Optimization Notes The strategy includes several parameters that can be tuned for different market conditions: Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities. Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility Non-Repainting Guarantee All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars. Alerts Three alert conditions are available: ChronoPulse Long Setup : Fires when all long entry conditions are met ChronoPulse Short Setup : Fires when all short entry conditions are met ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design. Visual Elements Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks Directional EMA : Orange line showing trend bias Trailing Stop Lines : Green (long) and red (short) trailing stop levels Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL) QA Console : Quality assurance monitoring panel Integrity Suite Panel : Optional validation status display Recommended Usage Forward test with paper trading before live deployment Monitor the QA console until it reaches CERTIFIED status Adjust parameters based on your specific market and timeframe Respect the trade discipline limits to avoid over-trading Review quality scores and adjust threshold if needed Use appropriate commission and slippage settings for your broker Technical Implementation The strategy uses Pine Script v6 with the following key features: Multi-timeframe data requests with lookahead protection Confirmed pivot detection for structure analysis Dynamic trailing stop management Real-time quality score calculation Trade budgeting and cooldown enforcement Comprehensive dashboard and monitoring panels All source code is open and available for review and modification. Disclaimer This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
Стратегия Pine Script®
от officialjackofalltrades
Stock Relative Strength Rotation Graph🔄 Visualizing Market Rotation & Momentum (Stock RSRG) This tool visualizes the sector rotation of your watchlist on a single graph. Instead of checking 40 different charts, you can see the entire market cycle in one view. It plots Relative Strength (Trend) vs. Momentum (Velocity) to identify which assets are leading the market and which are lagging. 📜 Credits & Disclaimer Original Code: Adapted from the open-source " Relative Strength Scatter Plot " by LuxAlgo. Trademark: This tool is inspired by Relative Rotation Graphs®. Relative Rotation Graphs® is a registered trademark of JOOS Holdings B.V. This script is neither endorsed, nor sponsored, nor affiliated with them. 📊 How It Works (The Math) The script calculates two metrics for every symbol against a benchmark (Default: SPX): X-Axis (RS-Ratio): Is the trend stronger than the benchmark? (>100 = Yes) Y-Axis (RS-Momentum): Is the trend accelerating? (>100 = Yes) 🧩 The 4 Market Quadrants 🟩 Leading (Top-Right): Strong Trend + Accelerating. (Best for holding). 🟦 Improving (Top-Left): Weak Trend + Accelerating. (Best for entries). ⬜ Weakening (Bottom-Right): Strong Trend + Decelerating. (Watch for exits). 🟥 Lagging (Bottom-Left): Weak Trend + Decelerating. (Avoid). ✨ Significant Improvements This open-source version adds unique features not found in standard rotation scripts: 📝 Quick-Input Engine: Paste up to 40 symbols as a single comma-separated list (e.g., NVDA, AMD, TSLA). No more individual input boxes. 🎯 Quadrant Filtering: You can now hide specific quadrants (like "Lagging") to clear the noise and focus only on actionable setups. 🐛 Trajectory Trails: Visualizes the historical path of the rotation so you can see the direction of momentum. 🛠️ How to Use Paste Watchlist: Go to settings and paste your symbols (e.g., US Sectors: XLK, XLF, XLE...). Find Entries: Look for tails moving from Improving ➔ Leading. Find Exits: Be cautious when tails move from Leading ➔ Weakening. Zoom: Use the "Scatter Plot Resolution" setting to zoom in or out if dots are bunched up.
Индикатор Pine Script®
от LOALEX
2
Matt's Multi-Timeframe MACD Direction AlertThe indicator monitors the direction of the Moving Average Convergence Divergence (MACD) lines on four specific timeframes: 1-hour, 15-minute, 5-minute, and 1-minute. It only generates a signal when the MACD in all four timeframes is trending in the same direction (either all are bullish, or all are bearish). This alignment suggests a strong, synchronized market momentum from short-term scalping views up to immediate-term swing views. Key Features: Multi-Timeframe Confirmation: Uses TradingView's request.security() function to fetch data from different timeframes (1h, 15m, 5m, 1m), preventing the need to manually switch charts. Visual Dashboard: A dashboard table is displayed on your chart, providing an immediate visual status (Bullish/Bearish/Neutral) for each of the four timeframes. On-Chart Signals: The indicator plots visual shapes (green triangles for bullish alignment, red triangles for bearish alignment) directly on the sub-chart when the condition is met. Custom Alert Integration: It includes a built-in alertcondition() function, allowing traders to set up real-time, hands-free notifications whenever a synchronized trading opportunity arises. This tool helps filter out noise and potential false signals that might appear on a single timeframe, focusing instead on robust signals confirmed by a consensus of time perspectives.
Индикатор Pine Script®
от mattmattdmd