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Relative Valuation OscillatorRelative Valuation Oscillator (RVO) Description The Valuation_OTC.pine script is a Relative Valuation Oscillator for TradingView that compares the current asset against a reference asset (like Bitcoin, S&P 500, or Gold) to determine if it's relatively overvalued or undervalued. Key Features: 1. Multiple Calculation Methods: Simple Ratio - Compares price ratio deviation from average Percentage Difference - Direct percentage comparison between assets Ratio Z-Score - Statistical measure (standard deviations from mean) Rate of Change Comparison - Compares momentum/performance Normalized Ratio - 0-100 scale centered at zero 2. Customizable Settings: Reference asset selection (default: BTC/USDT) Adjustable lookback period (10-500 bars) Optional smoothing with configurable period Overbought/oversold level thresholds (default: ±1.5) 3. Trading Signals: Overvalued - Oscillator above overbought level (red zone) Undervalued - Oscillator below oversold level (green zone) Neutral - Between thresholds Crossover alerts for key levels Divergence detection (bullish/bearish) 4. Visual Components: Color-coded oscillator line (green when positive, red when negative) Optional signal line for additional smoothing Background shading for valuation zones Information table showing current metrics and status Shape markers for crossovers and divergences 5. Alert Conditions: Overvalued/undervalued alerts Zero-line crossovers Divergence signals This indicator is useful for pairs trading, relative strength analysis, and identifying when an asset is trading at extremes relative to a benchmark asset.
مؤشر Pine Script®
من ‎dragos_cocos_dev‎
CHOCH + FVG Signals [30m Optimized]CHOCH + FVG Signals 🎯 What It Does: This script automatically scans your chart for high-probability Smart Money Concepts (SMC) setups based on two key institutional trading principles: Change of Character (CHOCH) – A shift in market structure signaling potential reversal Fair Value Gap (FVG) – An imbalance zone where price moved too fast, often acting as support/resistance When both conditions align, the script plots clear Buy (▲) and Sell (▼) signals directly on your chart — ideal for intraday trading on the 30-minute timeframe (but works on any timeframe). ✅ Key Features: 🔹 Visual Fair Value Gaps Green shaded zones = Bullish FVGs (potential support) Red shaded zones = Bearish FVGs (potential resistance) Toggle on/off in settings 🔹 Smart CHOCH Detection Detects breaks of recent swing highs/lows with proper context Avoids false signals by confirming prior price structure 🔹 Clear Trade Signals Green ▲ below bar = Buy signal (Bullish CHOCH + FVG confluence) Red ▼ above bar = Sell signal (Bearish CHOCH + FVG confluence) 🔹 Customizable Filters Option to require FVG for a signal (recommended for higher accuracy) Adjust sensitivity via swing detection settings (default optimized for 30m) 🔹 Alert-Ready Built-in alert conditions for instant notifications on TradingView mobile/desktop ⚙️ How to Use: Apply to a 30-minute chart (e.g., EURUSD, Gold, NAS100, BTC) Wait for at least 50–100 bars to load (so swing points appear) Look for: A green triangle (▲) → consider long entry near FVG support A red triangle (▼) → consider short entry near FVG resistance Confirm with price action: Wait for a strong candle close or rejection at the FVG zone Use stop-loss below/above the FVG and target recent liquidity pools 💡 Pro Tip: Best used during high-volume sessions (e.g., London Open 7–10 AM UTC, NY Open 12:30–3:30 PM UTC). 🛠️ Settings (Inputs): Show Fair Value Gaps ✅ Enabled Visualize FVG zones Max FVG History 100 bars Prevent chart clutter Require FVG for Signal? ✅ Enabled Higher-quality setups (disable to test CHOCH-only) ⚠️ Important Notes: This is a signal generator, not financial advice. Always manage risk. Works best in trending or breaking markets — avoid during low-volatility ranges. FVGs may get filled (tested) before price continues — patience improves results. Backtest on historical data before live trading. 📣 Ideal For: Retail traders learning Smart Money Concepts (SMC) Price action traders seeking institutional-level confluence Intraday scalpers & swing traders on 30m–1H timeframes
مؤشر Pine Script®
من ‎Spoiltbrat‎
Risk-On / Risk-Off CompositeReal-time Risk-On / Risk-Off Composite from your four ratios: SPY / TLT (equities vs long bonds) HYG / LQD (high-yield vs IG credit) HG / GOLD (copper vs gold) BTC / GOLD (speculative vs defensive) It: normalizes each ratio with a z-score (so they’re comparable), lets you weight them, plots a composite line + histogram (up = risk-on, down = risk-off), shows a small heat-table for each sub-signal, and includes alert conditions for Risk-On / Risk-Off flips.
مؤشر Pine Script®
من ‎elliotallan20‎
Puell Multiple Variants [OperationHeadLessChicken]Overview This script contains three different, but related indicators to visualise Bitcoin miner revenue. The classical Puell Multiple : historically, it has been good at signaling Bitcoin cycle tops and bottoms, but due to the diminishing rewards miners get after each halving, it is not clear how you determine overvalued and undervalued territories on it. Here is how the other two modified versions come into play: Halving-Corrected Puell Multiple : The idea is to multiply the miner revenue after each halving with a correction factor, so overvalued levels are made comparable by a horizontal line across cycles. After experimentation, this correction factor turned out to be around 1.63. This brings cycle tops close to each other, but we lose the ability to see undervalued territories as a horizontal region. The third variant aims to fix this: Miner Revenue Relative Strength Index (Miner Revenue RSI) : It uses RSI to map miner revenue into the 0-100 range, making it easy to visualise over/undervalued territories. With correct parameter settings, it eliminates the diminishing nature of the original Puell Multiple, and shows both over- and undervalued revenues correctly. Example usage The goal is to determine cycle tops and bottoms. I recommend using it on high timeframes, like monthly or weekly . Lower than that, you will see a lot of noise, but it could still be used. Here I use monthly as the example. The classical Puell Multiple is included for reference. It is calculated as Miner Revenue divided by the 365-day Moving Average of the Miner Revenue . As you can see in the picture below, it has been good at signaling tops at 1,3,5,7. The problems: - I have to switch the Puell Multiple to a logarithmic scale - Still, I cannot use a horizontal oversold territory - 5 didn't touch the trendline, despite being a cycle top - 9 touched the trendline despite not being a cycle top Halving-Corrected Puell Multiple (yellow): Multiplies the Puell Multiple by 1.63 (a number determined via experimentation) after each halving. In the picture below, you can see how the Classical (white) and Corrected (yellow) Puell Multiples compare: Advantages: - Now you can set a constant overvalued level (12.49 in my case) - 1,3,7 are signaled correctly as cycle tops - 9 is correctly not signaled as a cycle top Caveats: - Now you don't have bottom signals anymore - 5 is still not signaled as cycle top Let's see if we can further improve this: Miner Revenue RSI (blue): On the monthly, you can see that an RSI period of 6, an overvalued threshold of 90, and an undervalued threshold of 35 have given historically pretty good signals. Advantages: - Uses two simple and clear horizontal levels for undervalued and overvalued levels - Signaling 1,3,5,7 correctly as cycle tops - Correctly does not signal 9 as a cycle top - Signaling 4,6,8 correctly as cycle bottoms Caveats: - Misses two as a cycle bottom, although it was a long time ago when the Bitcoin market was much less mature - In the past, gave some early overvalued signals Usage Using the example above, you can apply these indicators to any timeframe you like and tweak their parameters to obtain signals for overvalued/undervalued BTC prices You can show or hide any of the three indicators individually Set overvalued/undervalued thresholds for each => the background will highlight in green (undervalued) or red (overvalued) Set special parameters for the given indicators: correction factor for the Corrected Puell and RSI period for Revenue RSI Show or hide halving events on the indicator panel All parameters and colours are adjustable
مؤشر Pine Script®
من ‎OperationHeadLessChicken‎
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user. The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market. Key Features: Dynamic correlation calculation between Gold and Bitcoin. Adjustable offset in days (default: 107) to fine-tune the temporal shift. Automatic labels and on-chart visualization. Compatible with multiple timeframes and logarithmic scales. Interpretation: Positive correlation suggests synchronized trends between both assets. Negative correlation signals divergence or rotation of liquidity. The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin. Recommended use: For macro-financial and global liquidity cycle analysis. As a complementary tool in cross-asset momentum strategies. © 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles. This script is for educational purposes only and does not constitute financial advice.
مؤشر Pine Script®
من ‎kmanus88‎
Fair Value Lead-Lag Model [BackQuant]Fair Value Lead-Lag Model A cross-asset model that estimates where price "should" be relative to a chosen reference series, then tracks the deviation as a normalized oscillator. It helps you answer two questions: 1) is the asset rich or cheap vs its driver, and 2) is the driver leading or lagging price over the next N bars. Concept in one paragraph Many assets co-move with a macro or sector driver. Think BTC vs DXY, gold vs real yields, a stock vs its sector ETF. This tool builds a rolling fair value of the charted asset from a reference series and shows how far price is above or below that fair value in standard deviation units. You can shift the reference forward or backward to test who leads whom, then use the deviation and its bands to structure mean-reversion or trend-following ideas. What the model does Reference mapping : Pulls a reference symbol at a chosen timeframe, with an optional lead or lag in bars to test causality. Fair value engine : Converts the reference into a synthetic fair value of the chart using one of four methods: Ratio : price/ref with a rolling average ratio. Good when the relationship is proportional. Spread : price minus ref with a rolling average spread. Good when the relationship is additive. Z-Score : normalizes both series, aligns on standardized units, then re-projects to price space. Good when scale drifts. Beta-Adjusted : rolling regression style. Uses covariance and variance to compute beta, then builds a fair value = mean(price) + beta * (ref − mean(ref)). Deviation and bands : Computes a z-scored deviation of price vs fair value and plots sigma bands (±1, ±2, ±3) around the fair value line on the chart. Correlation context : Shows rolling correlation so you can judge if deviations are meaningful or just noise when co-movement is weak. Visuals : Fair value line on price chart with sigma envelopes. Deviation as a column oscillator and optional line. Threshold shading beyond user-set upper and lower levels. Summary table with reference, deviation, status, correlation, and method. Why this is useful Mean reversion framework : When correlation is healthy and deviation stretches beyond your sigma threshold, probability favors reversion toward fair value. This is classic pairs logic adapted to a driver and a target. Trend confirmation : If price rides the fair value line and deviation stays modest while correlation is positive, it supports trend persistence. Pullbacks to negative deviation in an uptrend can be buyable. Lead-lag discovery : Shift the reference forward by +N bars. If correlation improves, the reference tends to lead. Shift backward for the reverse. Use the best setting for planning early entries or hedges. Regime detection : Large persistent deviations with falling correlation hint at regime change. The relationship you relied on may be breaking down, so reduce confidence or switch methods. How to use it step by step Pick a sensible reference : Choose a macro, index, currency, or sector driver that logically explains the asset’s moves. Example: gold with DXY, a semiconductor stock with SOXX. Test lead-lag : Nudge Lead/Lag Periods to small positive values like +1 to +5 to see if the reference leads. If correlation improves, keep that offset. If correlation worsens, try a small negative value or zero. Select a method : Start with Beta-Adjusted when the relationship is approximately linear with drift. Use Ratio if the assets usually move in proportional terms. Use Spread when they trade around a level difference. Use Z-Score when scales wander or volatility regimes shift. Tune windows : Rolling Window controls how quickly fair value adapts. Shorter equals faster but noisier. Normalization Period controls how deviations are standardized. Longer equals stabler sigma sizing. Correlation Length controls how co-movement is measured. Keep it near the fair value window. Trade the edges : Mean reversion idea : Wait for deviation beyond your Upper or Lower Threshold with positive correlation. Fade back toward fair value. Exit at the fair value line or the next inner sigma band. Trend idea : In an uptrend, buy pullbacks when deviation dips negative but correlation remains healthy. In a downtrend, sell bounces when deviation spikes positive. Read the table : Deviation shows how many sigmas you are from fair value. Status tells you overvalued or undervalued. Correlation color hints confidence. Method tells you the projection style used. Reading the display Fair value line on price chart: the model’s estimate of where price should trade given the reference, updated each bar. Sigma bands around fair value: a quick sense of residual volatility. Reversions often target inner bands first. Deviation oscillator : above zero means rich vs fair value, below zero means cheap. Color bins intensify with distance. Correlation line (optional): scale is folded to match thresholds. Higher values increase trust in deviations. Parameter tips Start with Rolling Window 20 to 30, Normalization Period 100, Correlation Length 50. Upper and Lower Threshold at ±2.0 are classic. Tighten to ±1.5 for more signals or widen to ±2.5 to focus on outliers. When correlation drifts below about 0.3, treat deviations with caution. Consider switching method or reference. If the fair value line whipsaws, increase Rolling Window or move to Beta-Adjusted which tends to be smoother. Playbook examples Pairs-style reversion : Asset is +2.3 sigma rich vs reference, correlation 0.65, trend flat. Short the deviation back toward fair value. Cover near the fair value line or +1 sigma. Pro-trend pullback : Uptrend with correlation 0.7. Deviation dips to −1.2 sigma while price sits near the −1 sigma band. Buy the dip, target the fair value line, trail if the line is rising. Lead-lag timing : Reference leads by +3 bars with improved correlation. Use reference swings as early cues to anticipate deviation turns on the target. Caveats The model assumes a stable relationship over the chosen windows. Structural breaks, policy shocks, and index rebalances can invalidate recent history. Correlation is descriptive, not causal. A strong correlation does not guarantee future convergence. Do not force trades when the reference has low liquidity or mismatched hours. Use a reference timeframe that captures real overlap. Bottom line This tool turns a loose cross-asset intuition into a quantified, visual fair value map. It gives you a consistent way to find rich or cheap conditions, time mean-reversion toward a statistically grounded target, and confirm or fade trends when the driver agrees.
مؤشر Pine Script®
من ‎BackQuant‎
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights. ═══════════════════════════════════════════════ WHAT MAKES THIS INDICATOR SPECIAL? ═══════════════════════════════════════════════ Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart: Exponential Gradient Technology This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength. Dynamic Momentum Intelligence Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states: - 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly) - 🔵 Blue = Weakening bullish (structure intact, but momentum fading) - 🟠 Orange = Caution zone (bearish structure forming, weak momentum) - 🔴 Deep Red = Strong bearish momentum (both MAs falling) The cloud literally tells you when trends are accelerating or losing steam. Conditional Performance Architecture Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system. Zero Repaint Guarantee All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment. Educational by Design Every single input includes comprehensive tooltips with: - Clear explanations of what each parameter does - Practical examples of when to use different settings - Recommended configurations for scalping, day trading, and swing trading - Real-world trading impact ("This affects entry timing" vs "This is visual only") You're not just getting an indicator—you're learning how to use it effectively . ═══════════════════════════════════════════════ THE GRADIENT CLOUD - TECHNICAL DETAILS ═══════════════════════════════════════════════ Architecture: 26 precision layers for silk-smooth transitions Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges 75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%) V-Gradient design - emphasizes the action zone between Fast and Medium MAs The Four Momentum States: 🟢 GREEN - Strong Bullish Fast MA above Medium MA Both MAs rising with momentum > 0.02% Action: Enter/hold LONG positions, strong uptrend confirmed 🔵 BLUE - Weak Bullish Fast MA above Medium MA Weak or flat momentum Action: Caution - bullish structure but losing strength, consider trailing stops 🟠 ORANGE - Weak Bearish Medium MA above Fast MA Weak or flat momentum Action: Warning - bearish structure developing, consider exits 🔴 RED - Strong Bearish Medium MA above Fast MA Both MAs falling with momentum < -0.02% Action: Enter/hold SHORT positions, strong downtrend confirmed Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation. ═══════════════════════════════════════════════ FLEXIBLE MOVING AVERAGE SYSTEM ═══════════════════════════════════════════════ Three Customizable MAs: Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance Six MA Types Available: EMA - Exponential; faster response, ideal for momentum and day trading SMA - Simple; smooth and stable, best for swing trading and trend following WMA - Weighted; middle ground between EMA and SMA VWMA - Volume-weighted; reflects market participation, useful for liquid markets RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters HMA - Hull; extremely responsive with minimal lag, aggressive option Recommended Settings by Trading Style: Scalping (1m-5m): Fast: EMA(5-8) Medium: EMA(10-15) Slow: Not needed or EMA(50) Day Trading (5m-1h): Fast: EMA(10-12) Medium: EMA(20-21) Slow: SMA(200) for bias Swing Trading (4h-1D): Fast: EMA(10-20) Medium: EMA(34-50) Slow: SMA(200) Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs. ═══════════════════════════════════════════════ CROSSOVER SIGNALS - CLEAN & RELIABLE ═══════════════════════════════════════════════ Golden Cross ⬆ LONG Signal Fast MA crosses above Medium MA Classic bullish reversal or trend continuation signal Most reliable when accompanied by GREEN cloud (strong momentum) Death Cross ⬇ SHORT Signal Fast MA crosses below Medium MA Classic bearish reversal or trend continuation signal Most reliable when accompanied by RED cloud (strong momentum) Signal Intelligence: Anti-spam filter - Minimum 5 bars between signals prevents noise Clean labels - Placed precisely at crossover points Alert-ready - Built-in ALERTS for automated trading systems No repainting - Signals based on confirmed bars only Signal Quality Assessment: High-Quality Entry: Golden Cross + GREEN cloud + Price above both MAs = Strong bullish setup ✓ Low-Quality Entry (skip or wait): Golden Cross + ORANGE cloud + Choppy price action = Weak bullish setup, likely whipsaw ✗ ═══════════════════════════════════════════════ REAL-TIME INFO PANEL ═══════════════════════════════════════════════ An at-a-glance dashboard showing: Trend Strength Indicator: Visual display of current momentum state Color-coded header matching cloud color Instant recognition of market bias MA Distance Table: Shows percentage distance of price from each enabled MA: Green rows : Price ABOVE MA (bullish) Red rows : Price BELOW MA (bearish) Gray rows : Price AT MA (rare, decision point) Distance Interpretation: +2% to +5%: Healthy uptrend +5% to +10%: Getting extended, caution +10%+: Overextended, expect pullback -2% to -5%: Testing support -5% to -10%: Oversold zone -10%+: Deep correction or downtrend Customization: 4 corner positions 5 font sizes (Tiny to Huge) Toggle visibility on/off ═══════════════════════════════════════════════ HOW TO USE - PRACTICAL TRADING GUIDE ═══════════════════════════════════════════════ STRATEGY 1: Trend Following Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT Hold position : While cloud maintains color Exit signals : • Cloud turns ORANGE/BLUE = momentum weakening, tighten stops • Opposite crossover = close position • Cloud turns opposite color = full reversal STRATEGY 2: Pullback Entries Confirm trend : GREEN cloud established (bullish bias) Wait for pullback : Price touches or crosses below Fast MA Enter when : Price rebounds back above Fast MA with cloud still GREEN Stop loss : Below Medium MA or recent swing low Target : Previous high or when cloud weakens STRATEGY 3: Momentum Confirmation Your setup triggers : (e.g., chart pattern, support/resistance) Check cloud color : • GREEN = proceed with LONG • RED = proceed with SHORT • BLUE/ORANGE = skip or reduce size Use gradient as confluence : Not as primary signal, but as momentum filter Risk Management Tips: Never enter against the cloud color (don't LONG in RED cloud) Reduce position size during BLUE/ORANGE (transition periods) Place stops beyond Medium MA for swing trades Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends ═══════════════════════════════════════════════ PERFORMANCE & OPTIMIZATION ═══════════════════════════════════════════════ Tested On: Crypto: BTC, ETH, major altcoins Stocks: SPY, AAPL, TSLA, QQQ Forex: EUR/USD, GBP/USD, USD/JPY Indices: S&P 500, NASDAQ, DJI ═══════════════════════════════════════════════ TRANSPARENCY & RELIABILITY ═══════════════════════════════════════════════ Educational Focus: Detailed tooltips on every input Clear documentation of methodology Practical examples in descriptions Teaches you why , not just what Open Logic: Momentum calculation: (Fast slope + Medium slope) / 2 Smoothing: 8-bar EMA to reduce noise Thresholds: ±0.02% for strong momentum classification Everything is transparent and explainable ═══════════════════════════════════════════════ COMPLETE FEATURE LIST ═══════════════════════════════════════════════ Visual Components: 26-layer exponential gradient cloud 3 customizable moving average lines Golden Cross / Death Cross labels Real-time info panel with trend strength MA distance table Calculation Features: 6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA) Momentum-based cloud coloring Smoothed trend strength scoring Conditional performance optimization Customization Options: All MA lengths adjustable All colors customizable (when gradient disabled) Panel position (4 corners) Font sizes (5 options) Toggle any feature on/off Signal Features: Anti-spam filter (configurable gap) Clean, non-overlapping labels Built-in alert conditions No repainting guarantee ═══════════════════════════════════════════════ IMPORTANT DISCLAIMERS ═══════════════════════════════════════════════ This indicator is for educational and informational purposes only Not financial advice - always do your own research Past performance does not guarantee future results Use proper risk management - never risk more than you can afford to lose Test on paper/demo accounts before using with real money Combine with other analysis methods - no single indicator is perfect Works best in trending markets; less effective in choppy/sideways conditions Signals may perform differently in different timeframes and market conditions The indicator uses historical data for MA calculations - allow sufficient lookback period ═══════════════════════════════════════════════ CREDITS & TECHNICAL INFO ═══════════════════════════════════════════════ Version: 2.0 Release: October 2025 Special Thanks: TradingView community for feedback and testing Pine Script documentation for technical reference ═══════════════════════════════════════════════ SUPPORT & UPDATES ═══════════════════════════════════════════════ Found a bug? Comment below with: Ticker symbol Timeframe Screenshot if possible Steps to reproduce Feature requests? I'm always looking to improve! Share your ideas in the comments. Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments. ═══════════════════════════════════════════════ Happy Trading! Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
مؤشر Pine Script®
من ‎orenluxy‎
2
Friday’s Close – Futures Weekend AnchorPurpose: This indicator highlights the US futures weekend close price — the exact level where CME markets end trading on Friday at 4:00 PM CT / 5:00 PM ET. It’s designed primarily for crypto traders who want to compare weekend market behavior to the traditional finance (TradFi) close. Why it matters: Crypto trades 24/7, but global liquidity and sentiment still pivot around the Friday futures close. During the weekend, crypto can “drift” relative to traditional markets — this line shows exactly where the week ended for Wall Street, giving you a clean reference point until futures reopen on Sunday evening. Features Precise Friday close capture (CME weekend close minute, not just daily bar) Works on any ticker — especially useful for BTC, ETH, or other crypto assets Adjustable for time zone (New York / Chicago / custom) Option to select prior weeks with weekOffset Draws a single clean line from Friday’s close forward — no clutter, no vertical stitches Optional right-edge label with the close value and timestamp Usage Tips Keep the chart’s timezone in sync with your anchor (America/New_York = 5 PM ET, America/Chicago = 4 PM CT). Use weekOffset = 1 to view last week’s Friday close. Combine with volume, funding, or open interest indicators to see how weekend moves relate to the TradFi close. Ideal for weekend analysis — shows whether crypto is trading rich or cheap vs. the Friday benchmark before futures reopen. Recommended For Crypto traders, analysts, and quant enthusiasts who monitor TradFi–crypto decoupling or weekend premium behavior.
مؤشر Pine Script®
من ‎GeoffGolder‎
Liquidity Index with Advanced Statistical NormalizationLiquidity Index with Advanced Statistical Normalization An open-source TradingView indicator for analyzing global liquidity cycles using robust statistical methods Overview This Pine Script indicator combines multiple macroeconomic data sources to construct a composite liquidity index that tracks global financial conditions. It employs advanced statistical techniques typically found in quantitative finance research, adapted for real-time charting. Key Features 📊 Multi-Source Data Integration - Federal Reserve Components: Fed Funds Rate, Reverse Repo (RRP), Treasury General Account (TGA) - PBOC Components: China M2 Money Stock adjusted by CNY/USD exchange rate - Volatility Index: MOVE Index (bond market volatility) 🔬 Advanced Statistical Methods 1. Theil-Sen Estimator: Robust trend detection resistant to outliers 2. Triple Normalization: - Z-score normalization - MAD (Median Absolute Deviation) normalization - Quantile normalization via inverse normal CDF 3. Multi-Timeframe Analysis: Short (8-bar) and long (34-bar) windows with blended composite 📈 Signal Processing - Log-transformation for non-linear relationships - Smoothing via customizable SMA - Composite signal averaging across normalization methods Why This Approach? Traditional liquidity indicators often suffer from: - Sensitivity to outliers in economic data - Assumption of normal distributions - Single-timeframe bias This script addresses these issues by: - Using median-based robust statistics (Theil-Sen, MAD) - Applying multiple normalization techniques - Blending short and long-term perspectives Customization Options short_length // Short window (default: 8) long_length // Long window (default: 34) show_short // Display short composite show_long // Display long composite show_blended // Display blended signal smoothing_length // SMA smoothing period (default: 10) How to Use 1. Liquidity Expansion (positive values): Risk-on environment, favorable for asset prices 2. Liquidity Contraction (negative values): Risk-off environment, potential market stress 3. Divergences: Compare indicator direction vs. price action for early warnings Potential Improvements Community members are encouraged to enhance: - Additional data sources (ECB balance sheet, BOJ operations, etc.) - Alternative normalization methods (robust scaling, rank transformation) - Machine learning integration (LSTM forecasting, regime detection) - Alert conditions for liquidity inflection points - Volatility-adjusted weighting schemes Technical Notes - Uses request.security() for multi-symbol data fetching - All calculations handle missing data via nz() functions - Median-based statistics computed via array operations - Custom inverse CDF approximation (no external libraries required) Contributing This is a foundation for liquidity analysis. Potential extensions: - LLM Integration: Use language models to parse Fed/PBOC meeting minutes and adjust weights dynamically - Sentiment Layer: Incorporate crypto funding rates or options skew - Adaptive Parameters: Auto-tune window lengths based on market regime - Cross-Asset Validation: Backtest signals against BTC, equities, bonds --- License: Open source - modify and redistribute freelyDisclaimer: For educational purposes only. Not financial advice.
مؤشر Pine Script®
من ‎ai4profitinvestments‎
High Volume Arrow Signals (Ajustável)The High Volume Arrow Signals (Adjustable) indicator is a professional technical analysis tool designed to clearly pinpoint moments when trading volume significantly exceeds its recent average, signaling potential institutional pressure, strong conviction, or market exhaustion. Its primary function is to overlay confirmation signals directly onto the price bars without altering the original candle colors. Strategic Application This indicator is most effective when used as a confluence tool to confirm moves initiated by price action or other indicators: Breakout Confirmation: An arrow plotted during a price range breakout suggests the move has genuine volume conviction. Reversal Identification: A Buy arrow appearing at a key support level (or a Sell arrow at resistance) indicates strong volume rejection and a potential turning point. The adjustable multiplier ensures users can fine-tune the indicator to the specific volatility and volume characteristics of assets like BTC and ETH across different timeframes.
مؤشر Pine Script®
من ‎IdeManson‎
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS) Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory. It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊 ✨ Key Features • 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously. • 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum. • 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark. • 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window. • 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation. • 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout. • 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data. • 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset. 🧭 Typical Use Cases • 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation. • 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable. • 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles. ⚙️ Inputs Overview • 📝 Assets (1–4): Select up to four tickers for evaluation. • 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection. • 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows. • 🚦 Gates: Optional trend and alpha filters to refine results. • 🖥️ Display: Enable/disable table and customize colors. • 🔔 Alerts: Toggle notifications on leadership changes. 🔎 Formula Basis Jensen’s Alpha (α) is estimated as: α = E − β × E where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively. A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅ ⚠️ Disclaimer This script is for educational and analytical purposes only. It is NOT a signal. 🚫📉 It does not constitute financial advice, trading signals, or investment recommendations. 💬 The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏 Always perform your own analysis and use proper risk management. 🛡️
مؤشر Pine Script®
من ‎AriSai_TRW‎
QUANTUM MOMENTUMOverview Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management. Key Features 📊 Multi-Asset Momentum Comparison Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset Real-Time Tracking: Monitor relative momentum strength as market conditions evolve Difference Visualization: Clear histogram display showing which asset has stronger momentum 🎯 Multiple Momentum Calculation Methods Choose from four different momentum calculation types: ROC (Rate of Change): Traditional percentage-based momentum measurement RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range Percent Change: Simple percentage change over the lookback period Raw Change: Absolute price change in native currency units 📈 Advanced Trend Filtering System Enable optional trend filters to align momentum signals with prevailing market direction: SMA (Simple Moving Average): Classic trend identification EMA (Exponential Moving Average): Responsive trend detection Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns ADX (Average Directional Index): Measures trend strength with customizable threshold 🎨 Futuristic Cyberpunk Design Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette Glowing Visual Effects: Enhanced visibility with luminescent plot lines Dynamic Background Shading: Subtle trend state visualization Real-Time Data Table: Sleek information panel displaying current momentum values and trend status How It Works The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time. Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise. Settings Guide Symbol Settings Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs) Momentum Settings Momentum Length: Lookback period for momentum calculations (default: 14 bars) Momentum Type: Select your preferred momentum calculation method Display Options Toggle visibility of current symbol momentum line Toggle visibility of comparison symbol momentum line Toggle visibility of momentum difference histogram Optional zero line reference Trend Filter Settings Use Trend Filter: Enable/disable trend-based signal filtering Trend Method: Choose from SMA, EMA, Price Action, or ADX Trend Length: Period for trend calculations (default: 50) ADX Threshold: Minimum ADX value to confirm trend strength (default: 25) Best Use Cases ✅ Pairs Trading: Identify divergences in momentum between correlated assets ✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum ✅ Stock Market Rotation: Track sector or index relative strength ✅ Forex Strength Analysis: Monitor currency pair momentum relationships ✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence ✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals Visual Indicators ⚡ Cyan Line: Your chart symbol's momentum ⚡ Magenta Line: Comparison symbol's momentum 📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink) ▲ Green Triangle: Bullish trend detected (when filter enabled) ▼ Red Triangle: Bearish trend detected (when filter enabled) ◈ Yellow Diamond: Neutral/sideways trend (when filter enabled) Pro Tips 💡 Look for crossovers between the momentum lines as potential trade signals 💡 Combine with volume analysis for stronger confirmation 💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals 💡 Enable trend filter during ranging markets to reduce false signals 💡 Experiment with different momentum types to find what works best for your trading style Technical Requirements TradingView Pine Script Version: v6 Chart Type: Works on all chart types Indicator Placement: Separate pane (overlay=false) Data Requirements: Needs access to comparison symbol data
مؤشر Pine Script®
من ‎AlgoCollective‎
1
Fury by Tetrad Fury by Tetrad What it is: A rules-based Bollinger+RSI strategy that fades extremes: it looks for price stretching beyond Bollinger Bands while RSI confirms exhaustion, enters countertrend, then exits at predefined profit multipliers or optional stoploss. “Ultra Glow” visuals are purely cosmetic. How it works — logic at a glance Framework: Classic Bollinger Bands (SMA basis; configurable length & multiplier) + RSI (configurable length). Long entries: Price closes below the lower band and RSI < Long RSI threshold (default 28.3) → open LONG (subject to your “Market Direction” setting). Short entries: Price closes above the upper band and RSI > Short RSI threshold (default 88.4) → open SHORT. Profit exits (price targets): Uses simple multipliers of the strategy’s average entry price: Long exit = `entry × Long Exit Multiplier` (default 1.14). Short exit = `entry × Short Exit Multiplier` (default 0.915). Risk controls: Optional pricebased stoploss (disabled by default) via: Long stop = `entry × Long Stop Factor` (default 0.73). Short stop = `entry × Short Stop Factor` (default 1.05). Directional filter: “Market Direction” input lets you constrain entries to Market Neutral, Long Only, or Short Only. Visuals: “Ultra Glow” draws thin layered bands around upper/basis/lower; these do not affect signals. > Note: Inputs exist for a timebased stop tracker in code, but this version exits via targets and (optional) price stop only. Why it’s different / original Explicit extreme + momentum pairing: Entries require simultaneous band breach and RSI exhaustion, aiming to avoid entries on gardenvariety volatility pokes. Deterministic exits: Multiplier-based targets keep results auditable and reproducible across datasets and assets. Minimal, unobtrusive visuals: Thin, layered glow preserves chart readability while communicating regime around the Bollinger structure. Inputs you can tune Bollinger: Length (default 205), Multiplier (default 2.2). RSI: Length (default 23), Long/Short thresholds (28.3 / 88.4). Targets: Long Exit Mult (1.14), Short Exit Mult (0.915). Stops (optional): Enable/disable; Long/Short Stop Factors (0.73 / 1.05). Market Direction: Market Neutral / Long Only / Short Only. Visuals: Ultra Glow on/off, light bar tint, trade labels on/off. How to use it 1. Timeframe & assets: Works on any symbol/timeframe; start with liquid majors and 60m–1D to establish baseline behavior, then adapt. 2. Calibrate thresholds: Narrow/meanreverting markets often tolerate tighter RSI thresholds. Fast/volatile markets may need wider RSI thresholds and stronger stop factors. 3. Pick realistic targets: The default multipliers are illustrative; tune them to reflect typical mean reversion distance for your instrument/timeframe (e.g., ATRinformed profiling). 4. Risk: If enabling stops, size positions so risk per trade ≤ 1–2% of equity (max 5–10% is a commonly cited upper bound). 5. Mode: Use Long Only or Short Only when your discretionary bias or higher timeframe model favors one side; otherwise Market Neutral. Recommended publication properties (for backtests that don’t mislead) When you publish, set your strategy’s Properties to realistic values and keep them consistent with this description: Initial capital: 10,000 (typical retail baseline). Commission: ≥ 0.05% (adjust for your venue). Slippage: ≥ 2–3 ticks (or a conservative pertrade value). Position sizing: Avoid risking > 5–10% equity per trade; fixedfractional sizing ≤ 10% or fixedcash sizing is recommended. Dataset / sample size: Prefer symbols/timeframes yielding 100+ trades over the tested period for statistical relevance. If you deviate, say why. > If you choose different defaults (e.g., capital, commission, slippage, sizing), explain and justify them here, and use the same settings in your publication. Interpreting results & limitations This is a countertrend approach; it can struggle in strong trends where band breaches compound. Parameter sensitivity is real: thresholds and multipliers materially change trade frequency and expectancy. No predictive claims: Past performance is not indicative of future results. The future is unknowable; treat outputs as decision support, not guarantees. Suggested validation workflow Try different assets. (TSLA, AAPL, BTC, SOL, XRP) Run a walkforward across multiple years and market regimes. Test several timeframes and multiple instruments. (30m Suggested) Compare different commission/slippage assumptions. Inspect distribution of returns, max drawdown, win/loss expectancy, and exposure. Confirm behavior during trend vs. range segments. Alerts & automation This release focuses on chart execution and visualization. If you plan to automate, create alerts at your entry/exit conditions and ensure your broker/venue fills reflect your slippage/fees assumptions. Disclaimer This script is provided for educational and research purposes. It is not investment advice. Trading involves risk, including the possible loss of principal. © Tetrad Protocol.
استراتيجية Pine Script®
من ‎TetradProtocol‎
1
Order Flow RSI - Price / CVD / OIOrder Flow RSI blends three powerful market perspectives — Price , Cumulative Volume Delta (CVD) , and Open Interest (OI) — into one unified RSI-style oscillator. It reveals momentum and imbalance across these data streams and highlights situations where participation, liquidity, and positioning disagree — moments that often precede reversals. What it does The indicator converts: Price → RSI (classic momentum), CVD → RSI (buy/sell pressure balance), OI → RSI (position expansion/contraction) …then plots all three RSIs together on the same 0–100 scale. A fourth Consensus RSI (average of any two or all three) can optionally be shown to simplify the view. Core logic CVD engine – based on TradingView’s native volume-delta request. Modes: Continuous (default, smooth line), Anchored (resets each session), Rolling window. Open Interest – pulled automatically from the symbol’s “_OI” feed; aligns to chart timeframe for real-time flow. RSI calculation – standard RSI applied to each data stream, optionally smoothed (SMA / EMA / RMA / WMA / VWMA). Signals – optional background highlights when: All three RSIs are overbought (red) or oversold (green), or Any pair show opposite extremes (e.g., price overbought + OI oversold). Consensus RSI – arithmetic mean of the selected RSIs, summarizing overall market tone. Inputs overview CVD settings: anchor period, lower-TF delta, mode, rolling length RSI lengths: separate for price, CVD, OI Smoothing: type + period applied to all RSIs at once Consensus: choose which RSIs to average Signals: enable/disable each combination; optional alerts Levels: adjustable OB/MID/OS (default 70 / 50 / 30) Visuals: fill between active RSIs, background highlights, level lines, colors in Style tab How to read it All 3 overbought (red): broad exhaustion → possible correction All 3 oversold (green): broad depletion → possible bounce Opposite pairs: divergence between price and participation Price↑ but OI↓ (red) → weak rally, fading participation Price↓ but CVD↑ (green) → hidden accumulation Combine with structure and volume profile for confirmation. Notes Works best on assets with full CVD + OI data (futures, BTC, etc.). Use Continuous CVD for smooth RSI, Anchored for session analysis. Smoothing 2–5 EMA is a good starting point to reduce noise. All styling (colors, line types, thickness) is adjustable in the Style tab. Limitations & caveats CVD requires accurate tick/volume/delta data from your data feed. Performance may differ across instruments. OI availability varies by exchange / symbol. Where OI is absent, pairwise OI signals are not evaluated. This indicator is a tool — it generates signals of interest, not guaranteed profitable trades. Backtest and combine with your risk rules. Smoothing introduces lag; longer smoothing reduces noise but delays signals. Order Flow RSI bridges traditional momentum analysis and order-flow context — giving a multi-dimensional view of when markets are truly stretched or quietly reloading. Sometimes it works, sometimes it doesn't.
مؤشر Pine Script®
من ‎exploretranspose‎
4
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy Description: This strategy is designed for precision trading in both Forex (FX) and Crypto markets. It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management. ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach. Optimal Use Works best on lower timeframes (5m–15m) with strong liquidity sessions. Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT. Built for trend-following setups and momentum reversals with high volatility confirmation. Recommended Settings 🔹 Forex – 5m EMA Fast = 34, EMA Slow = 200, HTF = 1H RSI (14): Long ≥ 55 / Short ≤ 45 MACD (8 / 21 / 5), ADX Len 10 / Min 27 ATR Len 7, Stop Loss = ATR × 2.1 TP1 = 1.1 RR, TP2 = 2.3 RR Session = 07:00–11:00 & 12:30–16:00 (Exchange Time) Risk = 0.8% per trade 🔹 Forex – 15m EMA Fast = 50, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 53 / Short ≤ 47 MACD (12 / 26 / 9), ADX Min 24 ATR Len 10, SL = ATR × 1.9 TP1 = 1.2 RR, TP2 = 2.6 RR Risk = 1.0% per trade 🔹 Crypto – 5m (BTC/USDT) EMA Fast = 34, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 56 / Short ≤ 44 MACD (8 / 21 / 5), ADX Min 30 ATR Len 7, SL = ATR × 2.2 TP1 = 1.0 RR, TP2 = 2.5 RR Session = 00:00–06:00 & 12:00–22:00 (UTC) Risk = 0.5% per trade Core Features ✅ Auto breakeven after TP1 ✅ Dual take-profit system (1:1 & 1:2 RR) ✅ ATR-based stop & trailing logic ✅ Filters for session time, volume, and volatility ✅ Candle-body vs ATR size filter to avoid noise ✅ Optional cooldown between trades Important Notes Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes. Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results. Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto). Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures). Best results occur during London & New York sessions with moderate volatility. ⚠️ Disclaimer This script is for educational and research purposes only. It does not constitute financial advice. Use proper risk management and test thoroughly before using on live accounts. Developed by KING FX Labs Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management. Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown. 📈 “Precision Trading. Zero Emotion. Pure Momentum.”
استراتيجية Pine Script®
من ‎ALMASTO-TRADING-SYSTEM‎
Overleverage Short Screener Alert Overleverage Short Screener Alert Guide (inspired by a posting "an on-chain trader nicknamed "Calm Order King" has reportedly made over $10 million in porfit this month - mainly by shorting BTC and SOL at precise reversal points", this script tries to guess his work. 🎯 Purpose of the Script The script aims to identify potential **shorting opportunities** in derivatives markets (Perpetual Futures). It looks for a setup often associated with a "long squeeze" or "blow-off top" by checking three criteria simultaneously: **High Excitement**, **Liquidity Buildup**, and the start of a **Price Dip**. *** ### 🛠️ Customize Inputs (Settings) Access the indicator's settings window to adjust the following values: Funding Rate Threshold (%):** Controls the required bar momentum (proxy for excitement). *Adjust between 0.01 and 0.05.* OI MA Period:** Sets the lookback period for the Open Interest/Volume trend. *Use 7 to 14.* OI Spike % Above MA:** Defines how far above its trend the Volume/OI must be to signal high liquidity buildup. *Try 20.0 to 50.0.* Price Drop % From X-Period High:** Sets the minimum percentage drop required from the recent high to confirm the setup. *Use 3.0 to 7.0.* High Timeframe:** The period used to calculate the "recent high." *Use '7D' (7 Days) or '1D' (1 Day).* *** 🔔 Reading the Signal and Setting Alerts Visual Signal (Short\_Alert):** A **red triangle down** will appear at the top of the indicator pane when all three conditions are met. The background will also turn light red. Signal Confirmation:** * The **FR Proxy % (Blue Line)** must be **above** its blue threshold line. * The **OI Spike % (Orange Line)** must be **above** its orange threshold line. * The **Price Drop % (Fuchsia Line)** must be **below** its fuchsia threshold line. Setting Alerts:** 1. Click the **"Alert"** button (bell icon) on the chart. 2. Set the **Condition** to the indicator's name: **"Overleverage Short Screener Alert 3. Set the specific condition to: **"Overleverage Short Alert"**. 4. The default alert message includes the current percentage values for all three factors for quick review.
مؤشر Pine Script®
من ‎hushedDiamond97573‎
1m Scalping ATR (with SL & Zones)A universal ATR indicator that anchors volatility to your stop-loss. Read any market (FX, JPY pairs, Gold/Silver, indices, crypto) consistently—regardless of pip/point conventions and timeframe. Why this indicator? Classic ATR is absolute (pips/points) and feels different across markets/TFs. ATR Takeoff normalizes ATR to your stop-loss in pips and highlights clear zones for “quiet / ideal / too volatile,” so you instantly know if a 10-pip SL fits current conditions. Key features Auto pip detection (FX, JPY, XAU/XAG, indices, BTC/ETH). Selectable ATR source: chart timeframe or fixed ATR TF (e.g., “15”, “30”, “60”). Display modes: Percent of SL – ATR relative to SL in %, great for M1 (typical 10–30%). Multiple of SL – ATR as a multiple of SL (e.g., 0.6× / 1.0× / 1.2×). Panel zones: Green = “Ready for takeoff” (≤ Low), Yellow = reference (Mid), Red = too volatile (≥ High). Status badge (top-right): Quiet / ATR ok / Wild, current ATR/SL value, ATR TF used. Direction-agnostic: Works the same for longs and shorts. Inputs (at a glance) Length / Smoothing (RMA/SMA/EMA/WMA): ATR base settings. Your Stop-Loss (Pips): Reference SL (e.g., 10). ATR Timeframe (empty = chart): Use chart TF or a fixed TF. Display Mode: “Percent of SL” or “Multiple of SL.” Low/Mid/High (Percent Mode): Zone thresholds in % of SL. Low/Mid/High (Multiple Mode): Zone thresholds in ×SL. Recommended defaults Length 14, Smoothing RMA, SL 10 pips Display Mode: Percent of SL Low/Mid/High (%): 15 / 20 / 25 ATR Timeframe: empty (= chart) for reactive, or “30” for smoother M30 context with M1 entries. How to use Set SL (pips). 2) Choose display mode. 3) Optionally pick ATR TF. Interpretation: ≤ Low (green): setups allowed. ≈ Mid (yellow): neutral reference. ≥ High (red): too volatile → adjust SL/size or wait. Note: Auto-pip relies on common ticker naming; verify on exotic symbols. Disclaimer: For research/education. Not financial advice.
مؤشر Pine Script®
من ‎Patrik_Kreuzweger‎
2
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial Table of Contents Installation Understanding the Indicator Signal Interpretation Settings Configuration Trading Strategies Best Practices Common Mistakes to Avoid 1. Installation {#installation} Step-by-Step Setup: Step 1: Access TradingView Go to TradingView.com Log in to your account (free account works fine) Step 2: Open Pine Editor Click on "Pine Editor" at the bottom of the chart If you don't see it, go to the top menu and select "Pine Editor" Step 3: Add the Script Click "New" to create a new indicator Delete any default code Copy the entire Institutional Activity Detector code Paste it into the editor Step 4: Save and Apply Click "Save" (give it a name like "Inst Detector") Click "Add to Chart" The indicator will now appear on your chart 2. Understanding the Indicator {#understanding} What It Detects: This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing: Volume Analysis Detects unusual volume spikes that indicate large players entering Compares current volume to 20-period average Institutional trades create volume 2-5x normal levels Order Flow Delta: Difference between buying and selling volume Positive delta = More buying pressure Negative delta = More selling pressure Institutions leave "footprints" in order flow Price Action Patterns Bullish Rejection Wicks: | <- Small upper wick | ███ <- Small body ███ | | | <- Large lower wick (rejection) Indicates institutions bought aggressively at lower prices Bearish Rejection Wicks: | | | <- Large upper wick (rejection) | ███ <- Small body ███ | <- Small lower wick Indicates institutions sold aggressively at higher prices Liquidity Grabs Institutions often: Push price above resistance or below support Trigger stop losses (grab liquidity) Reverse direction and trade the other way Dark Pool Activity Large block trades executed off-exchange: High volume with minimal price movement Indicates institutional accumulation/distribution without moving price 3. Signal Interpretation {#signals} Signal Types: 🟢 INSTITUTIONAL BUY Signal Appears as green triangle below candle with strength number (2-5) What it means: Institutions are actively accumulating (buying) Higher strength = More confirmation factors Strength Levels: 2-3: Moderate confidence - Wait for confirmation 4: High confidence - Strong institutional interest 5: Maximum confidence - Multiple factors aligned 🔴 INSTITUTIONAL SELL Signal Appears as red triangle above candle with strength number (2-5) What it means: Institutions are actively distributing (selling) Higher strength = More confirmation factors 🟠 Dark Pool (DP) Marker Small orange diamond What it means: Large block trade executed Accumulation/distribution happening quietly Often precedes significant moves Liquidity Zones Red boxes above price = Resistance/sell liquidity Green boxes below price = Support/buy liquidity Institutions target these zones to trigger stops 4. Settings Configuration {#settings} Recommended Settings by Asset Type: For Stocks (SPY, AAPL, TSLA): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 1H For Forex (EUR/USD, GBP/USD): Volume Spike Multiplier: 1.5 Volume Average Period: 30 Delta Threshold: 65% Minimum Signal Strength: 3 Timeframe: 15m, 1H, 4H For Crypto (BTC, ETH): Volume Spike Multiplier: 2.5 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 4 Timeframe: 15m, 1H, 4H For Futures (ES, NQ): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 75% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 30m Parameter Explanations: Volume Spike Multiplier (1.0 - 10.0) Lower = More sensitive (more signals, some false) Higher = Less sensitive (fewer signals, more reliable) Start with 2.0 and adjust based on your asset's volatility Delta Threshold % (50 - 100) Measures buying vs selling pressure 70% = Strong institutional bias required Lower for ranging markets, higher for trending Minimum Signal Strength (2 - 5) Number of factors that must align for a signal 2 = Very sensitive (many signals) 5 = Very conservative (rare signals) Recommended: 3-4 for balance 5. Trading Strategies {#strategies} Strategy 1: Liquidity Grab Reversal Setup: Price approaches a liquidity zone (green/red box) Price penetrates the zone briefly Institutional BUY/SELL signal appears Price reverses away from the zone Entry: Enter on the signal candle close Or wait for next candle confirmation Stop Loss: Below the liquidity grab low (for buys) Above the liquidity grab high (for sells) Take Profit: 2:1 or 3:1 risk/reward ratio Or next opposing liquidity zone Example: Price drops below support → Triggers stops → Institutional BUY signal (4-5 strength) → Enter LONG → Price rallies Strategy 2: Trend Continuation Setup: Identify the trend (higher highs/higher lows for uptrend) Wait for pullback to support in uptrend Institutional BUY signal appears during pullback Confirms institutions are adding to positions Entry: Enter on signal with strength ≥ 4 Or next candle after signal Stop Loss: Below the pullback low + small buffer Take Profit: Previous swing high Or trailing stop using ATR Strategy 3: Dark Pool Accumulation Setup: Dark Pool (DP) markers appear multiple times Price consolidates in tight range Institutional BUY signal with high strength appears Breakout occurs Entry: Enter on breakout candle after signal Or on retest of breakout level Stop Loss: Below consolidation range Take Profit: Measured move (height of consolidation projected) Strategy 4: Divergence Play Setup: Price makes lower low MFI/RSI makes higher low (bullish divergence) Institutional BUY signal appears Volume confirms with spike Entry: Enter on signal candle or next Stop Loss: Below the divergence low Take Profit: Previous swing high or resistance 6. Best Practices {#best-practices} ✅ DO's: 1. Use Multiple Timeframes Check higher timeframe for trend direction Trade signals that align with higher timeframe Example: 15m signals in direction of 1H trend 2. Combine with Key Levels Support/resistance Supply/demand zones Previous day high/low Round numbers (psychological levels) 3. Wait for Confirmation Don't rush into trades Let the signal candle close Watch next candle for follow-through 4. Check the Metrics Table Look at Relative Volume (should be >2.0) Check Delta % (should be strong positive/negative) Verify Order Flow aligns with signal 5. Consider Market Context News events can override signals Low liquidity times (lunch, overnight) less reliable Major economic releases need caution 6. Paper Trade First Test the indicator for 2-4 weeks Learn how it behaves on your chosen assets Develop confidence before using real money Best Times to Trade: Stock Market Hours: 9:30-11:30 AM EST (high volume, strong moves) 2:00-4:00 PM EST (institutional positioning) Avoid: 11:30 AM-2:00 PM (lunch, low volume) Forex: London Open: 3:00-6:00 AM EST New York Open: 8:00-11:00 AM EST London/NY Overlap: 8:00 AM-12:00 PM EST Crypto: 24/7 market, but highest volume during US/European hours Watch for weekend low liquidity 7. Common Mistakes to Avoid {#mistakes} ❌ DON'T: 1. Trade Every Signal Not all signals are equal Focus on strength 4-5 signals Wait for optimal setups 2. Ignore Market Structure Don't buy into strong downtrends (catch falling knife) Don't sell into strong uptrends (fight the tape) Respect major support/resistance 3. Use Too Small Timeframes 1m and 2m charts are too noisy Minimum recommended: 5m for scalping Better: 15m, 30m, 1H for reliability 4. Overtrade Quality over quantity 2-5 good trades per day is excellent Forcing trades leads to losses 5. Ignore Risk Management Always use stop losses Risk only 1-2% per trade Don't revenge trade after losses 6. Trade During Low Volume Signals less reliable with low volume Check Relative Volume metric (should be >1.5) Avoid pre-market/after-hours for stocks 7. Misread Liquidity Grabs Not every wick is a liquidity grab Need volume confirmation Must have institutional signal Advanced Tips: Filtering False Signals: Use Signal Strength Filter: Minimum strength 3 = Balanced Minimum strength 4 = Conservative (recommended) Minimum strength 5 = Ultra conservative Confluence Checklist: Signal strength ≥ 4 Relative volume > 2.0 At key support/resistance Aligns with higher timeframe trend Delta % strongly positive/negative Clean price action setup If 4+ boxes checked = High probability trade Setting Up Alerts: Click the three dots on the indicator Select "Create Alert" Choose condition: "Institutional Buy Signal" "Institutional Sell Signal" "Dark Pool Activity" Set up notification (email, SMS, app) Save alert Alert Strategy: Set minimum strength to 4 for fewer, better alerts Use for assets you can't watch constantly Don't rely solely on alerts - check chart context Practice Exercise: Week 1-2: Observation Add indicator to your favorite assets Watch how signals develop Note which ones lead to profitable moves Don't trade yet - just observe Week 3-4: Paper Trading Use TradingView's paper trading Trade only strength 4-5 signals Record results in a journal Note: entry, exit, profit/loss, what worked/didn't Week 5+: Small Live Positions Start with smallest position size Trade only your best setups Gradually increase size as you gain confidence Keep detailed journal Quick Reference Card: Signal Quality Ranking: 🔥 Best Setups (Take These): Strength 5 + Liquidity grab + Key level Strength 4-5 + Volume >3.0 + Trend alignment Dark Pool markers + Strength 4+ signal ✅ Good Setups: Strength 4 at support/resistance Strength 3-4 with strong delta Liquidity grab + Strength 3+ ⚠️ Caution (Wait for More): Strength 2-3 in middle of nowhere Against higher timeframe trend Low volume (Rel Vol <1.5) ❌ Avoid: Strength 2 only During major news Low liquidity hours Against strong trend Troubleshooting: "Too many signals" → Increase Minimum Signal Strength to 4 → Increase Volume Spike Multiplier to 2.5-3.0 "Too few signals" → Decrease Minimum Signal Strength to 2-3 → Decrease Volume Spike Multiplier to 1.5 "Signals not working" → Check if you're trading during low volume hours → Verify you're using recommended timeframes → Make sure signals align with market structure "Can't see liquidity zones" → Enable "Show Liquidity Zones" in settings → Adjust Swing Detection Length (try 7-15) Resources for Further Learning: Concepts to Study: Order Flow Trading Market Profile / Volume Profile Smart Money Concepts (SMC) Liquidity Sweeps and Stop Hunts Institutional Order Flow Wyckoff Method Volume Spread Analysis (VSA) Recommended Practice: Study past signals on chart Replay market using TradingView's bar replay feature Join trading communities to share setups Keep a detailed trading journal Final Thoughts: This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires: Proper risk management Market context understanding Patience and discipline Continuous learning Success Formula: Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits Start slow, master the basics, and gradually increase complexity as you gain experience. Good luck and trade smart! 📊📈
مؤشر Pine Script®
من ‎lohanineeraj‎
Supply In Profit Z-Score | Wave BackgroundSupply in Profit Z-Score Modified by Quant_Hustler | Original by QuantChook What it does The Supply in Profit Z-Score measures how extreme the balance is between BTC addresses in profit versus those in loss compared to historical norms. It highlights periods of excessive optimism or pessimism, helping traders identify market sentiment extremes that can signal potential turning points or confirm ongoing trends. This version is designed for longer-term strategies, using smoothing and statistical normalization to focus on broader market sentiment cycles rather than short-term noise. How it works --Data Retrieval: Pulls on-chain data showing the percentage of Bitcoin addresses currently in profit and in loss. --Spread Calculation: Finds the difference between the two to gauge overall sentiment balance. --Alpha Decay Adjustment (optional): Normalizes extreme values to stabilize the signal over time. --Smoothing: Applies a moving average to filter daily volatility and improve long-term clarity. --Z-Score Conversion: Standardizes the data to show how far current sentiment deviates from historical averages. --Visualization: Plots the result around a neutral midpoint (zero line) — positive values indicate profit dominance, negative values indicate loss dominance. How to use it --Above Zero: More addresses in profit → bullish sentiment and strong trend conditions. --Below Zero: More addresses in loss → bearish sentiment or potential accumulation zones. --Extreme Values: Mark overly optimistic or capitulated sentiment, often preceding major reversals. Why use it in trend following --This indicator serves as an on-chain sentiment confirmation layer for trend-following systems, especially on higher timeframes (daily or weekly). --In uptrends, sustained positive readings confirm market strength and investor confidence. --In downtrends, persistent negative readings confirm weakness and help avoid false reversal signals. --Divergences between price and sentiment (e.g., rising price but weakening sentiment) often signal momentum loss or potential trend transitions. Modifications from the original by QuantChook Added EMA, adaptive Z-score smoothing and capping to reduce volatility and noise. Introduced a wave-style visualization for intuitive sentiment shifts. Improved calculation structure and upgraded for Pine Script v6 efficiency. Tuned signal responsiveness and smoothing parameters for long-term trend accuracy. Simplified user inputs and grouping for easier customization and integration. In summary: A refined, statistically grounded on-chain sentiment oscillator — originally developed by QuantChook and enhanced by Quant_Hustler — built to support long-term trend-following strategies by quantifying Bitcoin market sentiment through real-time profit and loss dynamics.
مؤشر Pine Script®
من ‎Quant_Hustler‎
Bitcoin Cycle History Visualization [SwissAlgo]BTC 4-Year Cycle Tops & Bottoms Historical visualization of Bitcoin's market cycles from 2010 to present, with projections based on weighted averages of past performance. ----------------------------------------------------------------- CALCULATION METHODOLOGY Why Bottom-to-Bottom Cycle Measurement? This indicator defines cycles as bottom-to-bottom periods. This is one of several valid approaches to Bitcoin cycle analysis: - Focuses on market behavior (price bottoms) rather than supply schedule events (halving-to-halving) - Bottoms may offer good reference points for some analytical purposes - Tops tend to be extended periods that are harder to define precisely - Aligns with how some traditional asset cycles are measured and the timing observed in the broader "risk-on" assets category - Halving events are shown separately (yellow backgrounds) for reference - Neither halving-based nor bottom-based measurement is inherently superior Different analysts prefer different cycle definitions based on their analytical goals. This approach prioritizes observable market turning points. Cycle Date Definitions - Approximate monthly ranges used for each event (e.g., Nov 2022 bottom = Nov 1-30, 2022) - Cycle 1: Jul 2010 bottom → Jun 2011 top → Nov 2011 bottom - Cycle 2: Nov 2011 bottom → Dec 2013 top → Jan 2015 bottom - Cycle 3: Jan 2015 bottom → Dec 2017 top → Dec 2018 bottom - Cycle 4: Dec 2018 bottom → Nov 2021 top → Nov 2022 bottom - Future cycles will be added as new top/bottom dates become firm Duration Calculations - Days = timestamp difference converted to days (milliseconds ÷ 86,400,000) - Bottom → Top: days from cycle bottom to peak - Top → Bottom: days from peak to next cycle bottom - Bottom → Bottom: full cycle duration (sum of above) Price Change Calculations - % Change = ((New Price - Old Price) / Old Price) × 100 - Example: $200 → $19,700 = ((19,700 - 200) / 200) × 100 = 9,750% gain - Approximate historical prices used (rounded to significant figures) Weighted Average Formula Recent cycles weighted more heavily to reflect the evolved market structure: - Cycle 1 (2010-2011): EXCLUDED (too early-stage, tiny market cap) - Cycle 2 (2011-2015): Weight = 1x - Cycle 3 (2015-2018): Weight = 3x - Cycle 4 (2018-2022): Weight = 5x Formula: Weighted Avg = (C2×1 + C3×3 + C4×5) / (1+3+5) Example for Bottom→Top days: (761×1 + 1065×3 + 1066×5) / 9 = 1,032 days Projection Method - Projected Top Date = Nov 2022 bottom + weighted avg Bottom→Top days - Projected Bottom Date = Nov 2022 bottom + weighted avg Bottom→Bottom days - Current days elapsed compared to weighted averages - Warning symbol (⚠) shown when the current cycle exceeds the historical average Technical Implementation - Historical cycle dates are hardcoded (not algorithmically detected) - Dates represent approximate monthly ranges for each event - The indicator will be updated as the Cycle 5 top and bottom dates become confirmed - Updates require manual code maintenance - not automatic - Users should verify they're using the latest version for current cycle data ----------------------------------------------------------------- FEATURES - Background highlights for historical tops (red), bottoms (green), and halving events (yellow) - Data table showing cycle durations and price changes - Visual cycle boundary boxes with subtle coloring - Projected timeframes displayed as dashed vertical lines - Toggle on/off for each visual element - Customizable background colors ----------------------------------------------------------------- DISPLAY SETTINGS - Show/hide cycle tops, bottoms, halvings, data table, and cycle boxes - Customizable background colors for each event type - Clean, institutional-grade visual design suitable for analysis UPDATES & MAINTENANCE This indicator is maintained as new cycle events occur. When Cycle 5's top and bottom are confirmed with sufficient time elapsed, the code and projections will be updated accordingly. Check for the latest version periodically. OPEN SOURCE Code available for review, modification, and improvement. Educational transparency is prioritized. ----------------------------------------------------------------- IMPORTANT LIMITATIONS ⚠ EXTREMELY SMALL SAMPLE SIZE Based on only 4 complete cycles (2011-2022). In statistical analysis, this is insufficient for reliable predictions. ⚠ CHANGED MARKET STRUCTURE Bitcoin's market has fundamentally evolved since early cycles: - 2010-2015: Tiny market cap, retail-only, unregulated - 2024-2025: Institutional adoption, spot ETFs, regulatory frameworks, macro correlation The environment that created past patterns no longer exists in the same form. ⚠ NO PREDICTIVE GUARANTEE Historical patterns can and do break. Market cycles are not laws of physics. Past performance does not guarantee future results. The next cycle may not follow historical averages. ⚠ LENGTHENING CYCLE THEORY Some analysts believe cycles are extending over time (diminishing returns, maturing market). If true, simple averaging underestimates future cycle lengths. ⚠ SELF-FULFILLING PROPHECY RISK The halving narrative may be partially circular - it works because people believe it works. Sufficient changes in market structure or participant behavior can invalidate the pattern. ⚠ APPROXIMATE DATA Historical prices rounded to significant figures. Exact bottom/top dates vary by exchange. Month-long ranges are used for simplicity. EDUCATIONAL USE ONLY This indicator is designed for historical analysis and understanding Bitcoin's past behavior. It is NOT: - Trading advice or financial recommendations - A guarantee or prediction of future price movements - Suitable as a sole basis for investment decisions - A replacement for fundamental or technical analysis The projections show "what if the pattern continues exactly" - not "what will happen." Always conduct independent research, understand the risks, and consult qualified financial advisors before making investment decisions. Only invest what you can afford to lose.
مؤشر Pine Script®
من ‎SwissAlgo‎