Get started

Indicators and strategies

Oops ReversalThis indicator identifies bullish Oops reversal days — a classic setup refined for stronger confirmation and early detection. ✅ Criteria for Signal (on current day): Gap Down Open: The stock opens below the previous day's low, suggesting initial weakness. Shallow Intraday Dip: Price doesn't fall more than 1% below the open, indicating the sell-off lacks follow-through. Strong Reversal: During the same day, the stock rallies and crosses the previous day's low by at least 1%, confirming strength and buyer control.
Pine Script® indicator
by imanasarora
5
GTrader-ICT All In One-Comumnity VersionMeet the **GTrader-ICT All In One **, a comprehensive toolkit designed to integrate key Inner Circle Trader (ICT) concepts directly onto your chart. This powerful overlay indicator consolidates multiple essential tools, streamlining your technical analysis and helping you identify key temporal and price-based events. 📚 References & Inspiration This indicator stands on the shoulders of giants. With the help of **tradeforopp** and **LuxAlgo**. The concepts and some implementation details were referenced from the following excellent, publicly available scripts: ICT Killzones: The session drawing and pivot logic is adapted from tradeforopp ICT Macros: The macro detection and plotting functionality is inspired by the work of Lux Algo , particularly their widely-used indicators covering ICT concepts. 🎯 Core Features * **ICT Killzones:** Visualize critical trading sessions with customizable boxes. You can easily toggle and style the **Asia**, **London**, and **New York (AM, Lunch, PM)** sessions to focus on the liquidity and volatility that matter most to your strategy. * Fully customizable session times and colors. * Timezone support to align sessions with your local or preferred trading time (defaults to `America/New_York`). * **ICT Macros:** Automatically identify and plot specific, short-duration time windows where institutional algorithms are known to be active (e.g., `09:50-10:10`, `14:50-15:10`, etc.). * Plots the high/low range of the macro, providing clear levels of interest. * Utilizes 1-minute data for precision, even when viewing on 3-minute or 5-minute charts. 📚 Optimization over the other original indicators We add the custom input for macros session, users just need to input the from/to hour: minute format, and they will be converted into session objects in pinescript The macro draws function is optimized, removing redundant draws, leading to better performance Add "Distance from Macro Line to Chart" option Add "Session Drawings Limit" for better performance ⚠️ Notes on TradingView Warnings You may encounter some warnings from TradingView when using this script. These are generally expected due to the script's advanced, event-driven nature: 1. **Function Call Consistency:** The function 'box.new' should be called on each calculation for consistency, which may appear. This happens because drawing elements (like session boxes) are intentionally created only on the *first bar* of a new session, not on every single bar. This is a necessary design choice for performance and to prevent duplicate drawings. 2. **Potential for Repainting/Slow Load:** The **Macro** feature uses the `request.security_lower_tf()` function to get accurate 1-minute data. This can trigger warnings about performance or slow loading times. This is a known trade-off for achieving the precision required for the feature.
Pine Script® indicator
by GTrader_indicators
Recession Warning Model [BackQuant]Recession Warning Model Overview The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments. Purpose The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly. Core Features - Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress. - Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries. - Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix). - Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads. - Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability). - Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals. - Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals. - Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R. Model Complexity Levels Users can select from four tiers to balance simplicity and depth: 1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring. 2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule. 3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth. 4. Research : Unlocks all indicators plus experimental settings for advanced users. Key Indicators Below is a summary of the 13 indicators, their data sources, and economic significance: - Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress. - Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs. - Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions. - Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator. - Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending. - PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction. - VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress. - S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption. - M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction. - NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions. - Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress. - JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns. - Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating. Data Processing - Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period). - Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback). - Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise. - Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations. Probability Calculation 1. Each indicator’s binary signal is weighted according to user settings or dynamic performance. 2. Weights are normalized to sum to 100% across active indicators. 3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix. 4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes. 5. Optional smoothing ensures stable outputs. Display and Visualization - Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands. - Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards. - Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence. - Ensemble Mode : Averages traditional and split probabilities for a balanced view. - Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis). - Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses. Practical Applications - Asset Allocation : Adjust equity or bond exposures based on sustained probability increases. - Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis. - Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%. - Trading Filters : Disable short-term strategies during high-risk regimes. - Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated. Configuration Guidelines - Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred. - Use dynamic weighting with at least one economic cycle of data for optimal performance. - Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals. - Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization. - Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading. Limitations - Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading. - Historical data availability may constrain dynamic weighting on shorter timeframes. - Model accuracy depends on the quality and timeliness of economic data feeds. Final Note The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
Pine Script® indicator
by BackQuant
GCM Volatility-Adaptive Trend ChannelScript Description Name: GCM Volatility-Adaptive Trend Channel (GCM VATC) Overview The GCM Volatility-Adaptive Trend Channel (VATC) is a comprehensive trading tool that merges the low-lag, smooth-trending capabilities of the Jurik Moving Average (JMA) with the classic volatility analysis of Bollinger Bands (BB). By displaying both trend and volatility in a single, intuitive interface, this indicator aims to help traders see when a trend is stable versus when it's becoming volatile and might be poised for a change. Core Components: JMA Trend System: At its core are three dynamically colored JMA lines (Baseline, Fast, and Slow) that provide a clear view of trend direction. The lines change color based on their slope, offering immediate visual feedback on momentum. A colored ribbon between the Baseline and Fast JMA visualizes shorter-term momentum shifts. Standard Bollinger Bands: Layered on top are standard Bollinger Bands. Calculated from the price, these bands serve as a classic measure of market volatility. They help identify periods where the market is expanding (high volatility) or contracting (low volatility). How to Use It By combining these two powerful concepts, this indicator provides a unified view of both trend and volatility. It can help traders to: Identify the primary trend direction using the smooth JMA lines. Gauge the strength and stability of that trend. See when the market is becoming volatile (bands widening) or consolidating (bands contracting), which can often precede a significant price move or a change in trend. A Note on Originality & House Rules Compliance This indicator does not introduce a new mathematical formula. Instead, its strength lies in the thoughtful combination of two well-respected, publicly available concepts: the Jurik Moving Average and Bollinger Bands. The JMA implementation is a standard public version. The goal was to create a practical, all-in-one tool for trend and volatility analysis. This script is published as fully open-source in compliance with TradingView's House Rules. It utilizes standard, publicly available algorithms and does not contain any protected or hidden code. Settings All lengths, sources, and colors for the JMA lines and Bollinger Bands are fully customizable in the settings menu, allowing you to tailor the indicator to your specific trading style and asset. I hope with this indicator Traders even Beginner can can control their emotions which increase the probabilities of the winning rates and cutting the losing strength Purposely I Didn't plant the High low or Buy Sell signals in the chart. Because everything is in the chart where volatility Signal with the Bollinger Band and Buy Sell Signal in the JMA Dynamic colors. and that's enough to decide when to take trade and when not to. Thank You and Happy Trading
Pine Script® indicator
by uniGram
3
HMA Strategy HMA Strat (Hull Moving Average Strategy) Indicator Description The HMA Strat is a trend-following strategy that uses a dual Hull Moving Average system. It helps identify continuation and high-probability reversal signals in both bullish and bearish market conditions. The strategy aims to reduce noise while maintaining sensitivity to changes in price momentum by comparing the standard Hull Moving Average (HMA) to a smoothed version. This strategy is ideal for traders who focus on systematic backtesting, momentum entry, and simple charts. It features integrated plotting, color-zoning, and strategic actions based on TradingView's strategy engine. The system provides dynamic long and short signals based on crossover logic. Key Features Dual HMA Framework: To improve signal quality and reduce choppy trend identification, it compares a regular HMA with a smoothed version (HMA3). Entries Based on Crossover
Pine Script® strategy
by Markking77
2
Scalper Pro Pattern Recognition & Price Action👑Scalper Pro®👑Pattern Recognition & Price Action i.postimg.cc Introducing the ultimate trading robot designed for serious investors! Our advanced bot analyzes market cycles, tracks targets, sets stop losses, and expertly manages your capital. With powerful algorithms and real-time insights, it identifies opportunities and delivers accurate signals, ensuring you never miss a market move. Take control of your trading strategy and maximize your profits with our cutting-edge technology. Join the future of trading today—your expert assistant is ready to help you succeed! 💡 This is not just another indicator — it's a complete trading assistant that identifies structure, signals strength, and simplifies decision-making. 🚀 Plug it into your TradingView chart today and start seeing the market in a whole new way. 💬 Need help with access, backtesting, or have any questions about our indicators? Our support team is available 24/7 on Telegram. Just reach out through the link below: 👉 t.me
Pine Script® indicator
by DrFXAi
Kairi Trend Oscillator [T3][T69]📌 Overview The Kairi Trend Oscillator is a Japanese-inspired hybrid oscillator combining Heikin-Ashi trend clarity with the Kairi (乖離率) indicator — a measure of price deviation from a moving average. This dual-layer system gives you both trend direction and trend strength/health, designed to highlight trend maturity and avoid overextended entries. ✨ Features Heikin-Ashi or normal candlestick input modes Multiple moving average options: SMA, EMA, DEMA, VWMA, and Kijun Visual color-coded trend zones: overbought, oversold, healthy, weak, and reversal conditions Full Kairi column plot with dynamic coloring Adaptive logic for trend detection (linear regression or Heikin-Ashi structure) Built-in reversal detection based on divergence between Kairi and trend direction ⚙️ How to Use Choose Candle Type: Select Heiken Ashi or Normal Candlesticks via the Candle Mode dropdown. Select Source: Choose open, high, low, or close as the input for Kairi computation. Set MA Type & Length: Configure the moving average mode and its length under Moving Average Settings. Interpret the Plot: Green/Red bars: Show Kairi oscillator values above/below 0 Background color: Shows current trend (green = uptrend, red = downtrend) Candle color overlays: 🟩 Teal = Overextended Bulls 🟥 Maroon = Overextended Bears ✅ Green = Healthy Uptrend 🔻 Red = Healthy Downtrend 🟨 Light tones = Weak trends 🔄 Blue/Fuchsia = Possible reversal detected 🔧 Configuration Inputs: Candle Mode: Heiken Ashi or Normal Candle Sticks Source: Open, High, Low, Close MA Mode: SMA, EMA, DEMA, VWMA, or Kijun MA Length: Default is 29 🧪 Advanced Tips Use Heikin-Ashi mode for better trend smoothing. Kairi divergence (e.g., bullish Kairi in a downtrend) may signal upcoming reversal — watch for blue or fuchsia bars. Combine with momentum indicators (e.g. RSI or MACD) for confluence-based setups. For mean reversion strategies, fade extreme Kairi readings (> ±5%). ⚠️ Limitations Not suited for ranging markets without trend. Kairi extremes may remain elevated in strong trends — avoid early counter-trend entries. Reversal logic is not a confirmation signal; use with caution. 📌 Disclaimer This script is educational and illustrative. Always backtest thoroughly before using in live markets.
Pine Script® indicator
by Teyo69
1
High Probability Buy/Sell with SL & TP High-accuracy Buy/Sell signals with dynamic SL & Target—perfect for scalpers and swing traders,Smart trading signals with built-in risk management. Never miss a move.Auto Buy/Sell entries with real-time SL & TP levels—trade with confidence.Turn signals into strategy. Precision entries, clear exits.Your all-in-one trading assistant: entry, stop loss, and take profit—automated.Built for serious traders: Clean signals, sharp exits, and solid risk-reward.
Pine Script® indicator
by sagarnale97
FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator 1. Concept and Rationale The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings. The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much. 2. Data Pipeline • Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes. • Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer. • User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study. 3. Math under the Hood (1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent. (2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite. (3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive. (4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers. (5) Threshold Grid – Five horizontal guides create a structured regime map:  • Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.  • Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.  • Zero Line demarcates neutral alignment. 4. Chart Furniture and User Interface • Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts. • Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation. • Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar. • Everything—line width, thresholds, colours—can be customised so the indicator blends into any template. 5. Interpretation Guide Macro Liquidity Pulse  • When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).  • Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety. Regime Transition Signals  • Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.  • Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite. Momentum Exhaustion and Mean-Reversion  • Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.  • Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold. Pair Trading / Relative Value  • Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.  • Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader. Event-Driven Tactics  • FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.  • CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common. 6. Alerts Suite Pre-bundled conditions let you automate workflows: • Bullish / Bearish zero crosses – queue spot or futures entries. • Standard OB / OS – notify for first contact with actionable zones. • Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions. 7. Parameter Playground • Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors. • Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC. • Try HMA smoothing for responsive yet smooth curves on intraday charts. • Colour-blind users can easily swap bull and bear palette selections for preferred contrasts. 8. Limitations and Best Practices • The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals. • Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily. • Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps. 9. Final Thoughts The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark. Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
Pine Script® indicator
by BackQuant
Dynamic S/R System - Pivot + ChannelDynamic S/R System - Pivot + Channel A comprehensive Support & Resistance indicator combining dual methodologies for institutional-grade price level analysis 📊 CORE FEATURES Dual Detection System • Pivot-Based Levels - Historical turning points with intelligent touch counting • Dynamic Channel S/R - Trend-aware linear regression boundaries • Smart Level Management - Auto-merges similar levels, removes weak/outdated ones Volume Integration • Multi-timeframe volume analysis using EMA oscillator and spike detection • Volume confirmation for all breakout signals to filter false moves • Real-time volume status (Normal/High/Spike) in live information panel Intelligent Touch Counting • Automatic level validation through touch frequency analysis • Strength classification with visual differentiation (colors/thickness) • Level labels showing exact touch count (S3, R5, etc.) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 VISUAL ELEMENTS Line System Solid Lines: Pivot-based S/R levels Dashed Lines: Dynamic channel boundaries Color Coding: • 🔵 Blue/🔴 Red: Standard support/resistance • 🟠 Orange: Strong levels (multiple touches) • 🟣 Purple: Channel S/R levels Signal Labels • "B" - Pivot S/R breakout with volume confirmation • "CB" - Channel boundary breakout • "Bull/Bear Wick" - False breakout detection (wick rejections) Information Panel Real-time analysis displays: • Total resistance/support levels detected • Closest S/R levels to current price • Volume status and position relative to levels • Current market position assessment ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ KEY ADVANTAGES Multi-Method Validation Combines historical pivot analysis with dynamic trend channels for comprehensive market view False Breakout Protection • Volume confirmation requirements • Wick analysis to identify failed attempts • Multiple validation criteria before signal generation Adaptive Level Management • Automatically updates as new pivots form • Removes outdated/weak levels • Maintains clean, relevant level display Institutional-Grade Analysis • Touch counting reveals institutional respect levels • Volume integration shows smart money activity • Strength classification identifies high-probability zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏰ OPTIMAL USE CASES Best Timeframes • Daily - Primary recommendation for swing trading • 4-Hour - Intraday analysis and entries • Weekly - Long-term position planning Ideal Markets • Crypto pairs (especially ETH/BTC, BTC/USD) • Forex majors with good volume data • Large-cap stocks with institutional participation Trading Applications • Entry/exit planning around key S/R levels • Breakout confirmation with volume validation • Risk management using nearest S/R for stops • Trend analysis through channel dynamics ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ CONFIGURATION GUIDELINES Conservative Setup (Higher Confidence) Min Pivot Strength: 3-4 Volume Threshold: 25-30% Max Levels: 6-8 Aggressive Setup (More Signals) Min Pivot Strength: 2 Volume Threshold: 15-20% Max Levels: 10-12 🔔 ALERT SYSTEM Breakout Alerts • Resistance/Support breaks with volume confirmation • Channel boundary violations • Approaching strong S/R levels Advanced Notifications • Strong level approaches (within 0.5% of price) • False breakout detection • Volume spike confirmations 📈 TRADING STRATEGY GUIDE Entry Strategy 1. Wait for price to approach identified S/R level 2. Confirm with volume analysis (spike/high volume preferred) 3. Watch for wick formations indicating rejection 4. Enter on confirmed breakout with volume or bounce with rejection Risk Management • Use nearest S/R level for stop placement • Scale position size based on level strength (touch count) • Monitor volume confirmation for exit signals Market Context • Combine with higher timeframe trend analysis • Consider overall market sentiment and volatility • Use channel direction for bias confirmation Transform complex S/R analysis into actionable trading intelligence with institutional-level insights for professional trading decisions.
Pine Script® indicator
by lazy_capitalist
1
Auto Channel [SciQua]Auto Channel Purpose Auto Channel finds the single best parallel price channel from recent price action and keeps it updated in real time. It uses ZigZag pivots to build candidate channels, scores each candidate for quality, then plots the winner. When price closes outside the channel, the script flags a breakout and can fire alerts. How it works 1. ZigZag pivots The script uses TradingView’s TradingView/ZigZag/7 library to generate a stream of swing highs and lows based on a percentage reversal threshold and a leg depth. These pivots are the only points the channel logic evaluates, which keeps the search fast and focused on structure rather than noise. 2. Channel candidates From the most recent pivots, the script forms all combinations of two swing highs and two swing lows. It computes a slope for the high line and a slope for the low line and requires that they be nearly parallel within a user-defined tolerance. 3. Quality scoring and selection For every valid candidate, the script checks the recent pivot segments against the trial channel and computes: Inside ratio: fraction of tested pivots that sit fully inside the channel after applying the tolerance buffer. Violation sum: total magnitude of the breaches for any pivots outside the channel. Current width: distance between upper and lower lines at the current bar. The “best” channel is chosen by: 1. highest inside ratio 2. then widest current width 3. then smallest violation sum 4. Plot and projection The upper and lower lines are anchored to the chosen pivot pairs and extend to the left. The script also projects each line to the current bar to compute the live upper and lower channel prices. Those levels drive the breakout checks and alerts. 5. Breakouts and alerts A breakout is detected when the bar closes above the projected upper line or closes below the projected lower line, after applying the tolerance buffer. Triangle markers highlight fresh breakouts, and you can enable alert conditions to automate notification or strategy handoff. Inputs: ZigZag Price deviation for reversals (%) Default 0.2. Larger values produce fewer, larger swings. Smaller values produce more, smaller swings. Pivot legs Default 2. Controls the lookback depth ZigZag uses to confirm pivots. ZigZag Color Visual only. Tip: If you are not seeing a stable channel, increase the ZigZag percentage to reduce minor swings. Channel search Number of recent pivots to consider Default 12. Higher values search more history and try more channel combinations. Lower values make the search faster and more reactive. Max slope difference for parallel Default 0.0005. Maximum allowed difference between the upper and lower line slopes. Smaller values enforce stricter parallelism. Max price tolerance outside channel Default 0.0. A buffer added to the channel boundaries during validation and breakout checks. Use this to ignore tiny wicks that poke the lines. Minimum inside to outside pivots ratio for valid channel (0.00–1.00) Default 1.00. Require that at least this fraction of checked pivots lie inside the channel. For a more permissive fit, try 0.60 to 0.85. Styling Upper Line Color Lower Line Color Breakout Above Color Breakout Below Color Plots and visuals Upper channel line Lower channel line Triangle markers on the bar that first confirms a close outside the channel, above or below. Lines extend left from their pivot anchors. Projection to the current bar is used internally to test for breakouts and to set alerts. Alerts The script defines two alert conditions: Close Above Channel Triggers when the bar closes above the projected upper line plus tolerance. Close Below Channel Triggers when the bar closes below the projected lower line minus tolerance. Practical usage Trend channels In a steady trend, a high inside ratio with a moderate width often highlights the dominant channel. Consider trend entries near the lower line in an uptrend or near the upper line in a downtrend, with exits or stops beyond the opposite boundary. Breakout trades Combine the channel breakout alert with volume or a separate momentum filter. The tolerance input helps avoid false triggers from small wicks. Tuning for timeframe and symbol • Faster markets or lower timeframes usually benefit from a larger ZigZag percentage and a smaller pivot count. • Slower markets or higher timeframes can use more pivots and a tighter slope difference to enforce cleaner geometry. Notes and limitations Channels are derived from ZigZag pivots. If your ZigZag settings change, the detected channel will also change. The script plots only the single best channel at any time to keep the chart clean. Breakout markers appear on confirmed bars. For historical bars, markers appear only where a breakout would have been confirmed at that time. Lines extend left from their anchors. The script projects the lines internally to the current bar for checks and alerts. License and attribution License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Open source for educational and personal use only. Commercial use requires written permission. Attribution © 2025 SciQua — Joshua Danford Libraries Uses TradingView/ZigZag/7. Changelog v1.0 Initial release. Automatic parallel channel detection from ZigZag pivots, quality scoring, live plotting, and close-based breakout alerts. FAQ Why do I not see any channel sometimes? There may not be a valid pair of highs and lows that pass the slope, inside ratio, and tolerance checks. Loosen the constraints by increasing Max slope difference, lowering Minimum inside ratio, or increasing the ZigZag percentage. The channel looks too narrow or too wide? Adjust Number of recent pivots and Minimum inside ratio. A higher inside ratio tends to favor cleaner, sometimes wider channels. A lower ratio may admit narrower, more reactive channels. How can I reduce false breakout alerts? Increase Max price tolerance outside channel to ignore small wicks. Add a volume or momentum confirmation in your personal alert workflow. Thank you for using Auto Channel . Feedback and improvements are welcome.
Pine Script® indicator
by JoshuaDanford
скрипт чат gpt//@version=5 indicator("Swing+DCA Strategy", overlay=true, max_labels_count=500) // ===== EMA ===== ema7 = ta.ema(close, 7) ema26 = ta.ema(close, 26) ema200 = ta.ema(close, 200) plot(ema7, color=color.yellow, linewidth=1, title="EMA 7") plot(ema26, color=color.red, linewidth=1, title="EMA 26") plot(ema200, color=color.white, linewidth=1, title="EMA 200") // ===== MACD ===== fastLength = 8 slowLength = 24 signalLength = 9 macdValue = ta.ema(close, fastLength) - ta.ema(close, slowLength) macdSignal = ta.ema(macdValue, signalLength) macdHist = macdValue - macdSignal // MACD визуализация в отдельном окне macdColor = macdHist >= 0 ? color.green : color.red plot(macdValue, color=color.new(color.blue, 0), title="MACD Line", display=display.none) plot(macdSignal, color=color.new(color.orange, 0), title="MACD Signal", display=display.none) plot(macdHist, style=plot.style_columns, color=macdColor, title="MACD Histogram", display=display.none) // ===== RSI ===== rsi = ta.rsi(close, 14) hline(70, 'RSI Overbought', color=color.red) hline(50, 'RSI Midline', color=color.gray) hline(30, 'RSI Oversold', color=color.green) // ===== Supertrend ===== atrPeriod = 10 factor = 3.0 = ta.supertrend(factor, atrPeriod) plot(supertrend, color=direction < 0 ? color.red : color.green, title="Supertrend") // ===== ADX ===== adx = ta.adx(14) plotchar(adx > 20, char="▲", location=location.bottom, color=color.green, size=size.tiny, title="ADX>20") // ===== Pivot Points Classic ===== pivotType = input.string("Classic", "Pivot Type", options= ) piv = request.security(syminfo.tickerid, "D", ta.pivothigh(high, 3, 3)) plotshape(piv, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny, title="Pivot High") pivl = request.security(syminfo.tickerid, "D", ta.pivotlow(low, 3, 3)) plotshape(pivl, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny, title="Pivot Low") // ===== Smart DCA (условная подсветка) ===== buyZone = rsi < 35 and close < ema200 bgcolor(buyZone ? color.new(color.green, 85) : na, title="Smart DCA Zone") // ===== Alerts ===== longSignal = ta.crossover(ema7, ema26) and macdValue > macdSignal and rsi > 50 and adx > 20 shortSignal = ta.crossunder(ema7, ema26) and macdValue < macdSignal and rsi < 50 and adx > 20 plotshape(longSignal, title="Buy Signal", style=shape.labelup, color=color.green, text="BUY", size=size.small, location=location.belowbar) plotshape(shortSignal, title="Sell Signal", style=shape.labeldown, color=color.red, text="SELL", size=size.small, location=location.abovebar) alertcondition(longSignal, title="Buy Alert", message="Swing+DCA: BUY signal!") alertcondition(shortSignal, title="Sell Alert", message="Swing+DCA: SELL signal!")
Pine Script® indicator
by pavlova_marysyatl56m
1
Range Filter Strategy [Real Backtest]Range Filter Strategy - Real Backtesting # Overview Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes. Core Algorithm Range Filter Technology: - Smooth Average Range calculation using dual EMA filtering - Dynamic range-based price filtering to identify trend direction - Anti-noise filtering system to reduce false signals - Directional momentum tracking with upward/downward counters Key Features Real-Time Execution (No Delay) - Process orders on tick: Immediate execution without waiting for bar close - Bar magnifier integration for intrabar precision - Calculate on every tick for maximum responsiveness - Standard OHLC bypass for enhanced accuracy Realistic Price Simulation - HL2 entry pricing (High+Low)/2 for realistic fills - Configurable spread buffer simulation - Random slippage generation (0 to max slippage) - Market liquidity validation before entry Advanced Signal Filtering - Volume-based filtering with customizable ratio - Optional signal confirmation system (1-3 bars) - Anti-repetition logic to prevent duplicate signals - Daily trade limit controls Risk Management - Fixed Risk:Reward ratios with precise point calculation - Automatic stop loss and take profit execution - Position size management - Maximum daily trades limitation Alert System - Real-time alerts synchronized with strategy execution - Multiple alert types: Setup, Entry, Exit, Status - Customizable message formatting with price/time inclusion - TradingView alert panel integration Default Parameters Optimized for BTC 5-minute charts: - Sampling Period: 100 - Range Multiplier: 3.0 - Risk: 50 points - Reward: 100 points (1:2 R:R) - Spread Buffer: 2.0 points - Max Slippage: 1.0 points Signal Logic Long Entry Conditions: - Price above Range Filter line - Upward momentum confirmed - Volume requirements met (if enabled) - Confirmation period completed (if enabled) - Daily trade limit not exceeded Short Entry Conditions: - Price below Range Filter line - Downward momentum confirmed - Volume requirements met (if enabled) - Confirmation period completed (if enabled) - Daily trade limit not exceeded Visual Elements - Range Filter line with directional coloring - Upper and lower target bands - Entry signal markers - Risk/Reward ratio boxes - Real-time settings dashboard Customization Options Market Adaptation: - Adjust Sampling Period for different timeframes - Modify Range Multiplier for various volatility levels - Configure spread/slippage for different brokers - Set appropriate R:R ratios for trading style Filtering Controls: - Enable/disable volume filtering - Adjust confirmation requirements - Set daily trade limits - Customize alert preferences Performance Features - Realistic backtesting results aligned with live trading - Elimination of look-ahead bias - Proper order execution simulation - Comprehensive trade statistics Alert Configuration Alert Types Available: - Entry signals with complete trade information - Setup alerts for early preparation - Exit notifications for position management - Filter direction changes for market context Message Format: Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM Usage Recommendations Optimal Settings: - Bitcoin/Major Crypto: Default parameters - Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5 - Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8 - Gold: Sampling period 60-80, multiplier 1.5-2.0 TradingView Configuration: - Recalculate: "On every tick" - Orders: "Use bar magnifier" - Data: Real-time feed recommended Risk Disclaimer This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system. Best Settings Found for Gold 15-Minute Timeframe After extensive testing and optimization, these are the most effective settings I've discovered for trading Gold (XAUUSD) on the 15-minute timeframe: Core Filter Settings: Sampling Period: 100 Range Multiplier: 3.0 Professional Execution Engine: Realistic Entry: Enabled (HL2) Spread Buffer: 2 points Dynamic Slippage: Enabled with max 1 point Volume Filter: Enabled at 1.7x ratio Signal Confirmation: Enabled with 1 bar confirmation Risk Management: Stop Loss: 50 points Take Profit: 100 points (2:1 Risk-Reward) Max Trades Per Day: 5 These settings provide an excellent balance between signal accuracy and realistic market execution. The volume filter at 1.7x ensures we only trade during periods of sufficient market activity, while the 1-bar confirmation helps filter out false signals. The spread buffer and slippage settings account for real trading costs, making backtest results more realistic and achievable in live trading.
Pine Script® strategy
by mfsz2015
Volume Peak BoxTH Description Volume Peak Box อินดิเคเตอร์นี้ใช้ตรวจจับช่วงที่มี Volume สูงผิดปกติ โดยใช้ Bollinger Band กับข้อมูล Volume ที่ดึงจาก Timeframe ที่ล็อกไว้ (เช่น 1 ชั่วโมง) และจะแสดงผลในรูปแบบ กล่องครอบช่วงราคาสูง–ต่ำ ของช่วง Volume Peak นั้น 🔧 วิธีทำงาน: คำนวณ Bollinger Band จาก Volume ของ Timeframe ที่กำหนด ถ้า Volume สูงกว่า Upper Band → ถือว่าเป็น Volume Peak วาดกล่องครอบ High–Low ของแท่งที่อยู่ในช่วง Volume Peak กล่องจะแสดงบนทุก Timeframe แต่ใช้ข้อมูลจาก Timeframe ที่ล็อกไว้เท่านั้น 🧠 เหมาะสำหรับการดู: โซน Breakout การเคลื่อนไหวของสถาบัน ความไม่สมดุลของอุปสงค์/อุปทาน เหมาะมากหากใช้ร่วมกับการอ่านพฤติกรรมราคาใน Timeframe ย่อย เพื่อดูปฏิกิริยาราคาต่อแรง Volume จาก Timeframe ใหญ่ ________________ ENG Description Volume Peak Box This indicator detects volume spikes based on Bollinger Bands applied to volume from a locked timeframe (e.g. 1H), and draws a box around the price range during those peak periods. 🔧 How it works: Calculates Bollinger Bands on volume from the selected timeframe. If volume exceeds the upper band, it is marked as a volume peak. When a volume peak starts and ends, the indicator draws a box covering the high–low price range during that period. These boxes remain visible on all timeframes, but always reflect data from the locked timeframe. 🧠 Great for identifying: Breakout zones Institutional activity Supply/demand imbalances Tip: Use with lower timeframe price action to see how the market reacts near volume peaks from higher timeframes.
Pine Script® indicator
by August_Supertrader
1
Golden Launch Pad🔰 Golden Launch Pad This indicator identifies high-probability bullish setups by analyzing the relationship between multiple moving averages (MAs). A “Golden Launch Pad” is formed when the following five conditions are met simultaneously: 📌 Launch Pad Criteria (all must be true): MAs Are Tightly Grouped The selected MAs must be close together, measured using the Z-score spread — the difference between the highest and lowest Z-scores of the MAs. Z-scores are calculated relative to the average and standard deviation of price over a user-defined window. This normalizes MA distance based on volatility, making the signal adaptive across different assets. MAs Are Bullishly Stacked The MAs must be in strict ascending order: MA1 > MA2 > MA3 > ... > MA(n). This ensures the short-term trend leads the longer-term trend — a classic sign of bullish structure. All MAs Have Positive Slope Each MA must be rising, based on a lookback period that is a percentage of its length (e.g. 30% of the MA’s bars). This confirms momentum and avoids signals during sideways or weakening trends. Price Is Above the Fastest MA The current close must be higher than the first (fastest) moving average. This adds a momentum filter and reduces false positives. Price Is Near the MA Cluster The current price must be close to the average of all selected MAs. Proximity is measured in standard deviations (e.g. within 1.0), ensuring the price hasn't already made a large move away from the setup zone. ⚙️ Customization Options: Use 2 to 6 MAs for the stack Choose from SMA, EMA, WMA, VWMA for each MA Adjustable Z-score window and spread threshold Dynamic slope lookback based on MA length Volatility-adjusted price proximity filter 🧠 Use Case: This indicator helps traders visually and systematically detect strong continuation setups — often appearing before breakouts or sustained uptrends. It works well on intraday, swing, and positional timeframes across all asset classes. For best results, combine with volume, breakout structure, or multi-timeframe confirmation.
Pine Script® indicator
by QuesoHouseKey