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RSI Divergence Indicator (Fixed RSI Color + MTF Table)This script combines a classic RSI divergence indicator with a multi–timeframe RSI dashboard. Main features: Detects and plots: Regular bullish & bearish RSI divergence Hidden bullish & hidden bearish RSI divergence Dynamic RSI line color: Green in strong bullish zone Red in strong bearish zone Yellow in neutral zone Standard RSI levels: 70 / 30 overbought–oversold 50 midline with highlighted band MTF RSI table: Compact RSI dashboard on the right side of the chart Timeframes: 1m, 5m, 15m, 30m, 1h, 4h, 8h, 12h, 1D (each can be turned on/off) Background color highlights extreme RSI: Red / orange for overbought Lime for oversold This tool is designed to help traders quickly see divergence signals on the current chart while also monitoring RSI conditions across multiple timeframes in one place.
Wskaźnik Pine Script®
od xmochi1
BulletProof Long Wick Reversal Markers with LinesThis custom Pine Script indicator for TradingView identifies and marks potential reversal points on your chart based on long wick candles at swing highs (tops) and lows (bottoms). It focuses on candles where the wick is significantly longer than the body (e.g., shooting stars or hammers) and where the subsequent price reversal exceeds a minimum percentage move. Markers appear as colored circles (green for tops, red for bottoms), with horizontal lines extending from each marker to the current bar for easy reference as support/resistance levels.Key Features and InterpretationMarkers (Dots): Green circles at tops: Indicate a potential bearish reversal where price was pushed down after a long upper wick candle. Red circles at bottoms: Indicate a potential bullish reversal where price was pushed up after a long lower wick candle. These only appear if the wick-to-body ratio meets the threshold (default 2.0) and the reversal move is at least the minimum percentage (default 1%). Lines: Horizontal lines extend from each marker to the current bar (updating in real-time). Use these as dynamic levels—e.g., a green top line might act as resistance, while a red bottom line could be support. Lines do not extend into the future blank space on the chart. Time Filtering: By default, only markers from the last 7 days are shown to reduce clutter. Set to 0 to display all historical ones. Best Used On: 1-hour charts as per your request, but it works on any timeframe. It's ideal for spotting reversals in trending markets or confirming entries/exits with other indicators.
Wskaźnik Pine Script®
od CapitalHoldings3M
1
Participation-Weighted Orderflow Bubbles (HTF / LTF Context ToolThis indicator visualizes participation-weighted market pressure by aggregating lower-timeframe price and volume data into higher-timeframe context bubbles. It is designed to help identify directional dominance, balance, and absorption across timeframes. This is a context and bias tool, not a trade signal generator. What the indicator shows Each bubble represents a single chart bar, built from lower-timeframe candles. Total Notional Aggregated volume multiplied by price from lower-timeframe candles. Buy / Sell Proxies Lower-timeframe candles are classified based on where they close within their range: – Close near the high → buy-side proxy – Close near the low → sell-side proxy – Middle of the range → neutral Delta (USD and %) Buy proxy notional minus sell proxy notional, expressed as both absolute USD delta and percentage of total notional. Bubble colors Green Buy-side participation dominance. Sell color (user configurable) Sell-side participation dominance. The default is chosen for visibility on bearish candles and can be changed in settings. Grey Balanced participation. Indicates two-way trade, consolidation, or auction. Yellow (Absorption) High notional with limited price movement, suggesting potential absorption or distribution. Coloring uses both relative dominance (delta percentage) and absolute dominance (minimum delta in USD), which improves behavior on higher timeframes. Bubble size and visuals Bubble size scales with total notional. HD glow layers adapt automatically by timeframe. Bubbles are drawn in front of candles for clarity. Optional text displays delta and total notional. Hovering over a bubble shows detailed information including total notional, buy/sell/neutral proxies, delta values, absorption status, and the number of lower-timeframe candles used. Timeframe behavior The indicator is designed to work across multiple timeframes. On higher timeframes, more grey bubbles are expected due to natural auction and balance behavior. Colored bubbles on higher timeframes represent sustained participation rather than short-term momentum. Visual density and performance are automatically adjusted on higher timeframes. How to use it Recommended workflow: 1. Higher timeframe (1H, 4H, Daily) Use the bubbles to identify dominant buy or sell participation, balance zones, and absorption near highs or lows. 2. Lower timeframe (5m, 15m) Take trades in alignment with the most recent higher-timeframe dominance. Be cautious or range-focused inside higher-timeframe balance zones. Use structure and price action for entries. What this indicator is not This indicator does not show true bid/ask data. It does not display actual market versus limit orders. It does not replace a DOM or exchange orderflow feed. It should not be used as a standalone entry signal. The indicator works within TradingView’s available data and provides a probabilistic, participation-weighted view of market pressure rather than true tape or orderflow data. Best practices Use a 1-minute lower timeframe for best results. Avoid setting the lower timeframe too high relative to the chart timeframe. Combine this tool with structure, levels, and session context. Treat grey bubbles as information about balance, not as noise. This tool is intended for traders who want better context and bias, not more signals.
Wskaźnik Pine Script®
od shabahat_kazmi1
BHUVANA Fib 50/61.8 Stairs with RR Targets Fib 50–61.8 Stairs with RR Targets (debug) automatically tracks the latest swing and draws a 50%–61.8% Fibonacci pullback zone as step-like “stairs.” From that zone it plots a planned trade framework: entry reference, stop/invalidation, and multiple Risk:Reward targets (e.g., 1R/1.5R/2R/3R). What it’s for Visualize the “buy/sell pullback” area (50–61.8) in trending moves Standardize exits with RR targets instead of guessing Quickly see when the swing/zone updates as structure changes How to use (simple) Wait for a clear impulse swing to form. Let price retrace into the 50–61.8 zone. Take entries only with your own trigger (reclaim / rejection / BOS). Use the plotted stop and RR targets for management. Inputs Swing detection / lookback RR multiples and target count Show/hide stairs, labels, debug visuals Important This is a mapping tool, not a standalone signal. If you trade every touch of 50–61.8 without confirmation, you’ll get chopped. Debug version may show extra visuals and can repaint on swing updates. Not financial advice.
Wskaźnik Pine Script®
od mankarnan
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets. Core Design Principles The strategy addresses three challenges specific to cryptocurrency trading: 24/7 market operation without session boundaries requires continuous monitoring and execution logic Volatility regimes shift rapidly, demanding adaptive stop and target calculations Tick-level responsiveness is critical for capturing momentum moves before they complete Strategy Architecture 1. Signal Generation Stack The strategy uses multiple technical indicators calibrated for cryptocurrency momentum: MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering RSI (21 period) and MFI (21 period) for momentum confirmation Bollinger Bands and Keltner Channels for squeeze detection 2. Volatility Regime Classification The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes: Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR) Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target) Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks. 3. Multi-Path Entry System Four independent signal pathways contribute to a composite strength score (0-100): Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance Additional scoring modifiers: Volume impulse: +5 points when present, -5 when absent Regime bonus: +5 in velocity, -2 in compression Cycle bias: +5 when aligned, -5 when counter-trend Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree. 4. Risk Management Framework Position sizing is calculated from: RiskCapital = Equity × (riskPerTradePct / 100) StopDistance = ATR × StopMultiplier(regime) Quantity = min(RiskCapital / StopDistance, MaxExposure / Price) The strategy includes: Risk per trade: 0.65% of equity (configurable) Maximum exposure: 12% of equity (configurable) Regime-adaptive stop and target multipliers Adaptive trailing stops based on ATR and regime Kill switch that disables new entries after 6.5% drawdown Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks 5. Additional Filters Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods Session Filter : Optional time-based restriction (disabled by default for 24/7 operation) Strategy Parameters All default values used in backtesting: Core Controls Enable Short Structure: true Restrict to Session Window: false Execution Session: 0000-2359:1234567 (24/7) Allow Same-Bar Re-Entry: true Optimization Constants MACD Fast Length: 8 MACD Slow Length: 21 MACD Signal Length: 5 EMA Fast: 8 EMA Mid: 21 EMA Slow: 34 EMA Slope Lookback: 8 Structure Break Window: 9 Regime Intelligence ATR Length: 21 Volatility Soothing: 13 Low Vol Regime Threshold: 0.8% ATR High Vol Regime Threshold: 1.6% ATR Cycle Bias Length: 55 Cycle Bias Threshold: 0.15% BTC Dominance Feed: CRYPTOCAP:BTC.D BTC Dominance Confirmation: true Signal Pathways Volume Baseline Length: 34 Volume Impulse Multiplier: 1.15 Volume Z-Score Threshold: 0.5 MACD Histogram Smoothing: 5 MACD Histogram Sensitivity: 1.15 RSI Length: 21 RSI Momentum Trigger: 55 MFI Length: 21 MFI Momentum Trigger: 55 Squeeze Length: 20 Bollinger Multiplier: 1.5 Keltner Multiplier: 1.8 Squeeze Release Momentum Gate: 1.0 Micro Pullback Depth: 7 Minimum Composite Signal Strength: 55 Risk Architecture Risk Allocation per Trade: 0.65% Max Exposure: 12% of Equity Base Risk/Reward Anchor: 1.8 Stop Multiplier • Low Regime: 1.05 Stop Multiplier • Medium Regime: 1.55 Stop Multiplier • High Regime: 2.1 Take Profit Multiplier • Low Regime: 1.6 Take Profit Multiplier • Medium Regime: 2.05 Take Profit Multiplier • High Regime: 2.8 Adaptive Trailing Engine: true Trailing Offset Multiplier: 0.9 Quantity Granularity: 0.001 Kill Switch Drawdown: 6.5% Strategy Settings Initial Capital: $100,000 Commission: 0.04% (0.04 commission_value) Slippage: 1 tick Pyramiding: 1 (no position stacking) calc_on_every_tick: true calc_on_order_fills: true Visualization Features The strategy includes: EMA ribbon overlay (8/21/34) with customizable colors Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta) Dynamic bar coloring based on signal strength divergence Signal labels for entry points On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics Recommended Usage Timeframes The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider: Increasing structure lookback windows Raising RSI trigger thresholds above 58 to filter noise Extending volume baseline length Markets Designed for high-liquidity cryptocurrency perpetual futures: BTC/USDT, BTC/USD perpetuals ETH perpetuals Major L1 tokens with sufficient volume For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums. Limitations and Compromises Backtesting Considerations TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context Market Structure Dependencies BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough Parameter Sensitivity Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk Execution Constraints Same-bar re-entry requires broker support for rapid order placement Quantity granularity must match exchange contract minimums Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset Performance Expectations This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on: Market conditions (trending vs. ranging) Exchange execution quality Parameter calibration for specific assets Risk management discipline Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital. Code Structure The strategy is organized into functional sections: Configuration groups for parameter organization Helper functions for position sizing and normalization Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics) Regime classification logic Multi-path signal generation and composite scoring Entry/exit orchestration with risk management Visualization layer with dashboard and chart elements The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets. Modification Guidelines When adapting this strategy: Document any parameter changes in your publication Test modifications across different market regimes Validate position sizing logic for your exchange's contract specifications Consider exchange-specific limitations (funding rates, liquidation mechanics, order types) Conclusion This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions. You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management. Disclaimer This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results. This strategy is provided "as is" without any warranties or guarantees of profitability You should not rely solely on this strategy for making trading decisions Always conduct your own research and analysis before making any financial decisions Consider consulting with a qualified financial advisor before engaging in trading activities The authors and contributors are not responsible for any losses incurred from using this strategy Cryptocurrency trading can result in the loss of your entire investment Only trade with capital you can afford to lose Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
Strategia Pine Script®
od officialjackofalltrades
IV Rank as a Label (Top Right)IV Rank (HV Proxy) – Label Displays an IV Rank–style metric using Historical Volatility (HV) as a proxy, since TradingView Pine Script does not provide access to true per-strike implied volatility or IV Rank. The script: Calculates annualized Historical Volatility (HV) from price returns Ranks current HV relative to its lookback range (default 252 bars) Displays the result as a clean, color-coded label in the top-right corner Color logic: 🟢 Green: Low volatility regime (IV Rank < 20) 🟡 Yellow: Neutral volatility regime (20–50) 🔴 Red: High volatility regime (> 50) This tool is intended for options context awareness, risk framing, and volatility regime identification, not as a substitute for broker-provided IV Rank. Best used alongside: Options chain implied volatility Delta / extrinsic value Time-to-expiration analysis Note: This indicator does not use true implied volatility data.
Wskaźnik Pine Script®
od NikoRojas
Anurag Institutional Swing Trader Pro [Robust]nstitutional Swing Flow is a comprehensive, multi-timeframe system designed for swing traders who want to align with "Smart Money" rather than fight against it. Unlike standard indicators that rely solely on price crossovers, this script analyzes the underlying order flow—tracking stealth accumulation, volume anomalies, and institutional footprints—to generate high-probability swing setups. Key Features (The "Smart Money" Logic) 1. Institutional Footprints Stealth Accumulation/Distribution: Detects when price is held in a tight range despite high volume (a classic sign of institutions building a position). Smart Money Divergence: Identifies when price makes a lower low but Money Flow (OBV/Accumulation-Distribution) makes a higher high. Fair Value Gaps (FVG): Automatically plots Bullish and Bearish imbalance zones where price is likely to retrace before continuing the trend. 2. Safety First (Risk Management) Real Earnings Detection: Automatically checks upcoming earnings dates. If an earnings report is within 5 days (adjustable), the script blocks new signals to prevent gambling on binary events. Visual Exits: Plots dynamic Stop Loss and Take Profit levels on the chart the moment a trade is taken, along with "SL Hit" or "TP Hit" markers for visual backtesting. 3. The "Confluence Score" Dashboard A sophisticated dashboard in the top-right corner rates every setup on a scale of 0 to 100 based on: Multi-Timeframe Trend: Is the Weekly, Daily, and 4H trend aligned? Relative Strength: Is the asset outperforming the SPY benchmark? Volatility: Is the asset in a "Squeeze" (Bollinger Band compression)? Momentum: RSI, MACD, and CMF confirmation. Only setups with a score > 65 (adjustable) trigger a BUY or SELL signal. How to Use Timeframe: Optimized for 4-Hour (4H) and Daily (D) charts. (Avoid using on <15m charts due to multi-timeframe calculations). The Signal: Wait for a large "CALL" or "PUT" label. The Confirmation: Check the Dashboard. Ideally, look for a "Squeeze: YES" combined with a high Institutional Buy Score. The Exit: Follow the Red (Stop Loss) and Green (Take Profit) lines plotted automatically. Disclaimer This tool is for educational purposes only. Swing trading involves risk. Always confirm signals with your own analysis and risk management rules.
Wskaźnik Pine Script®
od anu_tarang
Body Close Continuity & failure Backtesting @MaxMaseratiThis indicator, is a highly advanced institutional-grade tool designed to track the "lifespan" of a trend based on Body Close (BC) sequences. Unlike basic indicators that just show direction, this script analyzes the structural integrity of a trend by monitoring how many candles continue the move before a "Touch" (retest) or a "Break" (failure) occurs. The Continuity & Failure Stats indicator tracks sequences of Bullish Body Closes (BuBC) and Bearish Body Closes (BeBC). It measures three critical phases: Building (pure momentum), Touching (price retesting the low/high of the sequence), and Resumption (price continuing the trend after a retest). It provides a statistical distribution of how long these "buildings" typically last before failing, allowing traders to know exactly when a trend is overextended. This comprehensive analysis blends the statistical breakdown of the Continuity & Failure Stats indicator to provide a deep understanding of the structural momentum for the S&P 500 E-mini (ES1!) on a 4-hour timeframe. 1. Extensive Table Breakdown A. Building Distribution (Left Table): The Fatigue Gauge This table acts as a histogram of momentum, tracking the "Building Count"—the number of consecutive candles closing in a trend without price returning to its origin. Count Column: Represents the streak length (e.g., 1, 2, or 3 candles). Touch Column: Shows how many times a streak was interrupted by a retest ("touch") but remained structurally intact. Break Column: Counts total structural failures where price closed beyond the sequence's anchor. Data Insight: For BuBC, 92 sequences reached Count 1, but only 28 remained by Count 4. This reveals a steep momentum decay after the 3rd candle, establishing a "Statistical Wall" where only 2 sequences in history reached a count of 9. B. MMM Summary Stats (Top Right): The Mathematical DNA This table provides the "Expected Value" and behavior of a trend over the lookback period. Avg Building (2.39 for BuBC): On average, a bullish move lasts ~2.4 candles of pure momentum before a retest or reversal occurs. Avg Touches (0.8): This low number indicates "clean" trends that rarely wobble back to retest levels multiple times before reaching a conclusion. Avg R Cycles (0.55): This suggests that once a bullish trend is interrupted, it only successfully resumes its momentum about half the time. Max R Count (1): Typically, once a trend is "touched," it only manages one more push before failing. C. Multi-Timeframe (MTF) Quick Stats (Bottom Right): Trend Weight This compares the 4H chart against other layers of the market to identify "global" alignment. Sample Comparison: There are 3,594 tracked BuBC sequences on the 4H compared to only 142 on the Weekly chart. Fractal Law: The Avg Building (2.4) is consistent across several timeframes, implying that the "Rule of Three" (momentum fading after 3 candles) is a fractal characteristic of this asset. 2. Table Comparison: Synthesizing the Data To trade effectively, you must compare Distribution (timing) against Summary Stats (averages): Continuity vs. Failure: The Summary Stats show an average building of 2.39. When checking the Distribution table at Count 2, the "Break" count (58) is already high relative to the "Total". This confirms that the risk of failure increases exponentially the moment you exceed the average. Momentum vs. Mean Reversion: Distribution tells you when a trend is "tired". If the 4H is at a "Building Count 4" (statistically overextended) while the Weekly chart is at "Building Count 1" (fresh momentum), you may choose to prioritize the higher timeframe's strength despite the local overextension. 3. Strategic Summary & Application This indicator proves that market momentum follows a predictable "Building" cycle rather than an infinite streak. The "Rule of Three" for ES1! 4H: The Entry Zone (Momentum Start): The most profitable entries occur at Building Count 1. Statistically, you have a high probability of reaching a count of 2 or 3. The Exit Zone (Momentum Limit): Take profits or tighten stops at Count 3. The data shows the sample size drops by nearly 50% between Count 3 and Count 4. The "Touch" Rule (Retest Reliability): If price returns to the sequence low (a "Touch"), do not expect a massive continuation. The Max R Count of 1 tells us that resumptions are usually short-lived. Danger Zone: Entering at Building Count 4 or higher is statistically dangerous, as the "Break" probability significantly outweighs the "Touch" or continuation probability.
Wskaźnik Pine Script®
od MaxMaserati
2
Long Short Trading System With TableSmart Trading System Pro is an advanced TradingView indicator designed for precision and clarity. It combines Order Blocks, Liquidity Zones, EMA trend alignment, MACD, RSI, Volume, and ATR-based risk management to generate high-quality LONG / SHORT signals. 🔹 Clear trade direction 🔹 Smart entry, stop-loss & multi-level take-profit 🔹 Automatic risk/reward & leverage calculation 🔹 Clean visual dashboard for fast decision-making Built for traders who value structure, confirmation, and risk control. Best suited for crypto, forex, and indices on all timeframes. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. You are solely responsible for your trading decisions and outcomes.
Wskaźnik Pine Script®
od Albay16
Daily Candle Bias Backtesting Stats @MaxMaserati This indicator, is a powerful backtesting and probability tool designed to quantify the "follow-through" of specific candle types across different market sessions. It identifies specific price action setups and tracks whether price hits a "Target" (continuation) or an "Invalidation" (reversal) first, providing real-time win rates for your favorite sessions. The Candle Bias Stats indicator automatically categorizes every candle based on the MMM candle bias and tracks their historical success rate. It calculates how often a candle's high/low is broken before its opposite end is touched. By breaking this data down into sessions (Asian, London, NY), it identifies high-probability "time-of-day" windows where specific price action setups are most reliable. MMM CANDLE LOGIC Bullish Expansion & Breakout Signatures Bullish Body Close Plus (BuBC Plus): Represents strong bullish momentum where price closes above the previous high and near its own top, signaling that buyers are in complete control. Bullish Body Close Minus (BuBC Minus): Indicates weak bullish momentum; while the price closes above the previous high, a long top wick shows sellers pushed back, suggesting a potential retest of the previous high. Bearish Expansion & Breakout Signatures Bearish Body Close Plus (BeBC Plus): A very strong bearish signal where price closes below the previous low and near its own bottom, indicating sellers are dominant. Bearish Body Close Minus (BeBC Minus): Signifies weak bearish momentum; the price breaks the previous low but finishes with a long bottom wick as buyers push back, often leading to a retest of the old ceiling. Bullish Reversal & Trap Signatures (Affinity) Bullish Affinity Plus (BuAF Plus): A strong bullish reversal where a new low is made, but sellers hit a wall and get trapped, causing price to finish near its top with a long bottom wick. Bullish Affinity Minus (BuAF Minus): A weak bullish bounce where a new low is made and price finishes back inside the previous range, but buyers lack the energy for a significant move. Bearish Reversal & Trap Signatures (Affinity) Bearish Affinity Plus (BeAF Plus): A strong bearish reversal; buyers are trapped after making a new high, and price finishes near its bottom with a long top wick. Bearish Affinity Minus (BeAF Minus): A weak bearish drop where sellers stop the rise but lack the energy to push price significantly lower. Neutral & Volatility Signatures Close Inside Bullish (CI•BuAF): Bullish neutral state where price stays inside the previous candle’s range but finishes in the top half, indicating buyers are slightly more active. Close Inside Bearish (CI•BeAF): Bearish neutral state where price remains inside the previous box and finishes in the bottom half. Seek & Destroy Bullish (S&D•BuAF): Bullish volatility characterized by price moving above and below the previous candle before buyers win the battle and close price near the top. Seek & Destroy Bearish (S&D•BeAF): Bearish volatility where sellers win a high-chaos battle, closing price near the bottom after sweeping both sides of the previous candle. H4 CANDLE EXAMPLE Deep Dive: Analysis of the 4H Statistics The image presents a comprehensive backtest of 4,999 total candles from September 2022 to December 2025. Here is the breakdown of what the interface is telling us: 1. The Strategy: Target vs. Invalidation The indicator tracks BuBC (Bullish Body Close) and BeBC (Bearish Body Close). The Target: For a Bullish candle, the target is the High. For a Bearish candle, it is the Low. The Invalidation: The opposite end of the candle (the Low for Bullish, the High for Bearish). The Goal: To see which level is touched first in the subsequent bars. 2. Global Performance (The Top Right Table) Looking at the BuBC (1402 samples) section: Target First (67.8%): In nearly 7 out of 10 cases, once a 4H candle closes "bullish" (breaking the previous high), the price continues higher to break its own high before it ever returns to take out its own low. Both Hit (17.7%): This is a critical metric. It represents "Stop Runs" or "Wicks" where price hits the target but also hits the invalidation within the same tracking period. Efficiency (1.3 Bars): This tells us the "follow-through" is almost immediate. If the trade doesn't work within 1 or 2 candles, the statistical edge drops off significantly. 3. The Session Breakdown (The Bottom Left Table) This is where the "Edge" is found. Not all hours of the day are created equal. Asian Late (02:00-06:00) – The "Star" Performer: With a 72.9% Target rate, this is labeled "BEST." It has the lowest "Both%" (6.5%), meaning moves during these hours are incredibly "clean." If a setup forms here, price usually moves directly to the target without looking back. London Open & Overlap (06:00-14:00): These sessions maintain a high win rate (approx. 70%). This suggests that the European session provides reliable trend continuation for the S&P 500. NY Session (14:00-18:00) – The "Trap" Zone: This is labeled "WORST" for a reason. While the win rate is basically a coin flip (49.6%), the Both% spikes to 36.7%. This means that even if you are right about the direction, the market is highly likely to "sweep" your stop loss before going to the target. It is the most volatile and "fake-out" prone time for this specific setup. Summary of the Data The statistics show that the S&P 500 4H Candle Bias is a highly reliable trend-following indicator, provided you trade it at the right time. The data suggests a clear three-step logic: Directional Edge: Both Bullish and Bearish body closes have a natural ~67% probability of continuation. Timing is Everything: Trading during the Late Asian and London sessions increases your probability of success to over 70% with very low risk of a "fake-out." Risk Warning: Avoid "Body Close" breakout strategies during the NY Mid-day (14:00-18:00). The statistics prove that this window is dominated by "Seek and Destroy" price action, where price is mathematically likely to hit both your target and your stop, usually hitting the stop first.
Wskaźnik Pine Script®
od MaxMaserati
1
Highs & LowsIntroduction: This indicator marks highs and lows from the previous New York, Asian, and London sessions, including the daily high and low. It is made to be as user friendly/adjustable as possible. It was designed around trading during the New York morning session, using the 1 hour and 1 minute(or similar) timeframes in conjunction. Settings: Common settings for the cleanest viewing are as follows: 1 Hour Chart Settings: Box #3 "Label Vertical Offset" to "18". Box #4 "Label X Offset" to "2". 1 Minute Chart Settings: Box #3 "Label Vertical Offset" to "2". Box #4 "Label X Offset" to "0". Note: Adjusting text to the darkest "black" setting may provide the best contrast.
Wskaźnik Pine Script®
od Montycarlo1993
MSO - Market Stress Oscillator [WavesUnchained]MSO - Market Stress Oscillator Bidirectional stress oscillator built on WVF + Z-score, with JMA/ADX filters, regime bias, and validated follow-through. Designed to expose downside panic vs upside euphoria and measure whether the market accepts or rejects each stress event. Quick Setup - Stress Color Mode : Intuitive (Downside=green, Upside=red) or Technical (classic colors). CORE CONCEPT - Downside stress : price flushes below WVF baseline (panic) - Upside stress : price stretches above WVF baseline (euphoria) - Stress is normalized via Z-score for cross-asset/timeframe robustness ENGINE (BI-WVF + Z-SCORE) - WVF Long and Short computed separately (panic vs euphoria) - Z-score window normalizes extremes - Thresholds are TF-aware (15m / 1h / 4h / D / W / M) QUALITY FILTERS - JMA trend filter (slope-based, low-lag) - ADX minimum for trend strength - Min Extreme Duration to avoid 1-bar noise - Cooldown to prevent signal clustering ACCEPT / REJECT LOGIC - Events are evaluated after reactBars (forward follow-through) - Accepted : follow-through >= minFollowATR - Rejected : follow-through < minFollowATR - Scores (0..1) optionally plotted as acceptance strength BIAS / REGIME CONTEXT - Bias line : zL - zS (who dominates) - Bias band : regime threshold (only meaningful outside band) - HTF Wind : higher-timeframe bias flip (JMA smoothed) - Clarity Label : regime entry aligned with HTF + absBias threshold VISUALIZATION - Stress Lines : Red = downside stress (panic), Green = upside stress (euphoria) - Bias Line : zL - zS (who dominates). Neutral inside band, colored outside. - Bias Band : regime threshold. Fill shows when bias is usable. - Zones : boxes at peak events (history preserved, FIFO capped) - Chart Labels : DA/DR/UA/UR (or LA/LR/SA/SR) at peaks - Lines : reaction window + peak level lines (FIFO capped) STRESS COLOR MODE - Intuitive : Downside stress = green, Upside stress = red (opportunity mapping) - Technical : Downside stress = red, Upside stress = green (classic convention) - This setting is visual only ; logic, bias, and signals are unchanged HOW TO USE 1. Read the stress lines : red spikes = panic risk, green spikes = euphoria risk. 2. Check bias : outside the band = usable regime; inside = noise. 3. Use DA/DR/UA/UR : - DA/UA = stress accepted (follow-through confirmed) - DR/UR = stress rejected (weak follow-through) 4. Add HTF wind : prefer signals aligned with HTF bias. 5. Tune presets by TF; use manual TF override for testing. PRESETS & UI - Full TF preset table (15m / 1h / 4h / D / W / M) - Manual TF override for testing - Preset summary panel (optional) LOGGING (CSV) - Pivot and stress logs for validation - Early/First-pivot classification options - Label IDs included for chart-to-log tracing BEST USE CASES - Panic/euphoria detection with follow-through validation - Regime-aware context (bias + HTF wind) - Multi-timeframe stress mapping (15m to Weekly) Version: 1.0.0 Author: WavesUnchained Pine Script: v6 Educational use only. Test thoroughly before live trading.
Wskaźnik Pine Script®
od WavesUnchained
Trend Dip-BuyerThis strategy is a simplified, high-probability Dip Buying System designed for active growth stocks. Instead of chasing breakouts at the top, it waits for the stock to take a "breather" (pullback) within an uptrend and buys the discount. It combines a classic Trend Filter (50 EMA) with a sensitive Momentum Oscillator (RSI 2) to pinpoint the exact moment a pullback is likely to reverse back up. How It Works: 1. The Trend Filter (50 EMA) The strategy ONLY trades Long. It requires the price to be above the 50-period Exponential Moving Average (EMA) (Blue Line). This ensures you are trading with the momentum of the market, not against it. 2. The Dip Signal (RSI 2) It uses a fast 2-period RSI. When RSI(2) drops below 50, it signals that the stock is temporarily "oversold" or resting. This is your cue that a discount entry is available. 3. Dynamic Exits Profit Taking: The primary target is dynamic. The strategy looks to exit when RSI(2) spikes above 70, allowing you to capture the bulk of the momentum swing. (A fixed ATR target option is also included). Safety: A 3x ATR Stop Loss protects the trade from sudden reversals. ✅ Simple Entry Checklist Before taking a trade, ensure all 3 boxes are checked: Trend Check: Is the current price ABOVE the Blue Line (50 EMA)? Dip Check: Is the RSI (2) value BELOW 50? Time Check: Is it past 12:00 PM? (Recommended for cleaner trends, but optional). 👉 If YES to all: Enter Long on the next candle open. Best Settings (Customizable): RSI Threshold: Default is 50 (Balanced). Lower to 30 for fewer, higher-quality trades. Exit Method: "RSI > 70" is recommended for maximizing wins in strong trends. Time Filter: "Trade > 12pm" is enabled by default to avoid morning volatility.
Strategia Pine Script®
od ctrchris08
Session Opening Bar RangeSession Opening Bar Range (OBR) - Advanced Opening Range Indicator with Statistical Analysis Overview The Session First Bar Range (FBR) indicator is a comprehensive tool that captures and projects key levels based on the first bar of a user-defined trading session. Unlike traditional daily opening range indicators, this script allows traders to focus on specific session windows (New York RTH, London, Asia, etc.) and analyze price behavior relative to the initial momentum established in that session's opening bar. What makes this indicator unique is its combination of three distinct projection methodologies: statistical analysis based on historical range data, Fibonacci extensions, and fixed-point rotation levels commonly used by institutional traders. To our knowledge, this is the only opening range indicator that incorporates statistical standard deviation levels calculated from historical first bar ranges, making it both a technical and probabilistic tool. Core Concept The opening range concept is based on the principle that the initial price action of a trading session often sets the tone for the remainder of that session. Professional traders have long observed that: The first bar's high and low act as key reference points Price often respects or breaks these levels with significance Expansion beyond the opening range tends to occur in measurable increments This indicator takes these observations and enhances them with: Historical probability analysis - "Based on the last 60 sessions, price typically extends X standard deviations beyond the opening range" Proportional projections - Fibonacci-based extensions showing where measured moves typically target Fixed-point rotations - Institutional rotation levels (e.g., 65 points for NQ, 15 points for ES) How It Works Session Detection & First Bar Capture The indicator uses Pine Script's time() function with timezone support to precisely detect when a trading session begins. When the first bar of the selected timeframe occurs within the session window, the script captures: High (H): The high of the first bar Low (L): The low of the first bar Mid (M): The midpoint (hl2) of the first bar Critical Detail: These levels are fixed from the first bar only - they do not update as the session progresses. This differs from many "opening range" indicators that use a time period (e.g., first 30 minutes). Here, you select the bar timeframe (default 5-minute), and only that single first bar's range is captured. Statistical Level Calculation The indicator maintains a rolling array of the last N session's first bar ranges (default: 60 sessions). For each new session, it calculates: Average Range: Mean of historical first bar ranges Standard Deviation: Volatility of those ranges Projection Levels: High/Low ± (Average Range + Std Dev × Multiplier) This provides probability-based levels. For example, a +2σ level suggests: "Historically, price extending this far beyond the opening range is a 2-standard-deviation event (approximately 95th percentile)." Fibonacci Extensions Using the first bar range as the base unit (100%), the indicator projects Fibonacci levels: 100% extension: One full range above the high / below the low 1.618x extension: (Default) Golden ratio projection 2.618x, 3.618x extensions: Additional Fibonacci levels Calculation: Range = H - L, then Target = H + (Range × Multiplier) for upside projections. OR Rotation Levels These are fixed-point increments from the first bar's high and low. Unlike percentage-based methods, rotations use absolute point values: NQ traders often use 65-point increments ES traders often use 15-point increments Gold/bonds use different values The indicator draws 5 levels above the high (R+1 through R+5) and 5 below the low (R-1 through R-5), each separated by your specified point increment. Features: Session Options Pre-configured Sessions: New York RTH (9:30am - 4:00pm) New York Futures (8:00am - 5:00pm) London (2:00am - 8:00am) Asia (7:00pm - 2:00am) Midnight to 5pm ZB/Gold/Silver OR (8:20am - 4:00pm) CL OR (9:00am - 4:00pm) Custom Session: Define your own start/end times in HHMM format Timezone Support: All sessions respect the selected timezone (default: America/New_York) Customizable Timeframe Select any timeframe for the first bar (1min, 5min, 15min, etc.) Default: 5-minute bars Important: This is the timeframe for the first bar capture, independent of your chart's timeframe Display Options Historical Ranges: Show/hide past session ranges (with configurable limit to manage performance) Line Styles: Choose between Solid, Dashed, or Dotted for range lines and midline Label Position: Left or Right side of range Show Prices: Optionally display actual price values on labels Custom Colors: Fully customizable colors for all components Statistical Levels Lookback Period: Number of historical sessions to analyze (default: 60) Two Multiplier Levels: Default 1σ and 2σ, fully adjustable Separate styling: Different line styles (dashed vs dotted) for each sigma level Optional Labels: Show/hide sigma notation labels Fibonacci Extensions Four Extension Levels: 100%, 1.618x, 2.618x, 3.618x (all customizable) Bidirectional: Projections both above and below the opening range Optional Labels: Toggle percentage/multiplier labels OR Rotation Levels Configurable Increment: Set the point value for your instrument Five Levels Each Direction: R±1 through R±5 Dynamic Labels: Show both rotation number and point value (e.g., "R+1 (65)") Three Line Styles: Solid, Dashed, or Dotted How to Use Setup Add the indicator to your chart Select your trading session from the dropdown Set the timeframe for first bar capture (typically 5-15 minutes) Configure which projection methods you want to see (Statistical, Fibonacci, and/or Rotations) For Day Traders Scenario: Trading NQ during New York RTH Session: Select "New York RTH (9:30am - 4:00pm)" Timeframe: 5-minute (captures 9:30-9:35 bar) Enable: OR Rotations with 65-point increments Strategy: Watch for acceptance/rejection at rotation levels Use R+1/R-1 as initial profit targets R+2/R-2 as extended targets Statistical levels show when price is in "outlier" territory and rotation levels Performance Notes The indicator limits objects to stay within TradingView's constraints (500 max) If you enable all features, reduce "Maximum Historical Ranges" to prevent slowdown Typical configuration: 10-20 historical ranges with all features enabled works well Settings Guide Session Settings Session: Choose from pre-configured sessions or "Custom" Custom Session Start/End: HHMM format (e.g., "0930" for 9:30am) Timezone: Critical for accurate session detection Opening Bar Format Timeframe: The bar size for capturing the first bar's range Show Midline: Toggle the mid-point line Show Historical Ranges: Display previous sessions (recommended: leave ON) Maximum Historical Ranges: Limit history to manage performance (1-500) Range Style / MidLine Style: Solid, Dashed, or Dotted Position: Label placement (Left or Right) Show Prices: Include actual price values on labels Statistical Levels Lookback Periods: How many historical first bar ranges to analyze (default: 60) Std Dev Multiplier 1/2: The sigma levels to project (default: 1.0 and 2.0) All visual settings (colors, line width, label size) Fibonacci Extensions Show Fib Extensions: Enable/disable Fibonacci projections Measured Move Extensions 1-4: The multipliers (default: 1.618, 2.618, 3.618, 4.618) Visual customization options OR Rotations Rotation Increment: The point value for your instrument NQ: 65 points ES: 15 points Adjust for other instruments based on their typical rotation behavior Show Rotation Labels: Display level numbers and point values Visual customization options Use Cases Gap Trading: When price gaps away from previous day's close, the first bar range shows the initial gap acceptance/rejection zone Breakout Confirmation: Price breaking and holding above the first bar high with volume suggests trend day potential. Rotation levels provide measured targets. Reversal Identification: Price reaching +2σ statistical level = rare event, potential exhaustion Range Bound Days: Price oscillating between first bar high/low suggests range-bound session; trade reversals at extremes Institutional Level Awareness: OR Rotations at 65 points (NQ) align with levels professional traders watch Technical Notes The indicator uses request.security() with lookahead=barmerge.lookahead_on to ensure the first bar levels are captured correctly All drawing objects (lines, labels, fills) are managed in arrays with automatic cleanup to prevent memory issues The statistical calculations use array.avg() and array.stdev() for accurate probability estimates Rotation levels use individual line variables (like Fibonacci) rather than loops for reliability Summary This indicator is original in its combination of three distinct methodologies for projecting levels from a session's opening range: Statistical Analysis - No other opening range indicator (to our knowledge) calculates standard deviation projections from historical first bar ranges Time-Based Session Flexibility - Most OR indicators use only daily or fixed time periods; this allows any custom session window Multiple Projection Methods - Traders can use statistical, Fibonacci, AND rotation levels together or separately
Wskaźnik Pine Script®
od lucymatos
1
BTC - Institutional Cost Corridor (Overlay)BTC - Institutional Cost Corridor | RM Strategic Context The approval of Spot Bitcoin ETFs on January 11, 2024, signaled the beginning of the "Institutional Era." Since then, price discovery has shifted from being purely retail-driven to being heavily influenced by massive, off-chain equity flows. The Institutional Cost Corridor is an approach for a quantitative tool designed to solve the problem of "Institutional Blindness" by mapping the aggregate cost basis of Wall Street's entry. It allows for the identification of structural "gravity zones" where institutional capital is most likely to move from a state of profit into a state of defense. The Methodology: Data Selection & Weighting To ensure the output is statistically significant, the data engine focuses exclusively on the "Big 3" liquidity providers: BlackRock (IBIT), Fidelity (FBTC), and Bitwise (BITB). These three funds represent over 80% of total Spot ETF liquidity. A weighted ratio is applied (prioritizing BlackRock) to reflect the reality that a dollar flowing into IBIT has a significantly higher impact on market structure than a dollar in smaller, fragmented funds. This ensures the indicator follows the actual mass of institutional capital. Recalculating the Shadow: Nominal Price & AUM A common point of confusion is that Bitcoin ETFs have a completely different nominal price than Bitcoin itself (e.g., an IBIT share may trade at $50 while BTC is at $100,000). To solve this, the script does not look at the dollar price of the shares. Instead, it uses Assets Under Management (AUM) and Relative Performance Mapping . By calculating the percentage growth of the funds' underlying value since inception and projecting that growth onto the Bitcoin price axis, the script "re-scales" the institutional entry levels. This allows us to see exactly where Wall Street is "underwater" on a standard Bitcoin chart. The Mathematical Foundations: Genesis vs. Anchored The indicator utilizes two distinct mathematical approaches to triangulate the "Truth" of institutional positioning. These are not arbitrary assumptions, but forward-mapped models verified against professional financial benchmarks. 1. Conservative Floor (Genesis Mode) • The Logic: This model uses a Cumulative Inflow VWAP . It treats every dollar that has entered the ETFs since Day 1 as part of a single, massive ledger. • Scientific Justification: This approach maps to the "Fortress Zone" of early, high-conviction capital. Historical AUM performance data suggests that the largest influx of structural capital occurred during the launch phase of 2024. This logic identifies the Ultimate Floor —the level where the entire ETF cohort would flip to a net loss. In late 2025 research (e.g., Glassnode "True Market Mean"), this model consistently aligns with the deepest structural support of the bull cycle. 2. Wall Street Entry (Anchored Mode) • The Logic: This model utilize a Relative Performance Anchor . It synchronizes the Bitcoin price on Launch Day with the growth performance of the ETF fund shares. • Scientific Justification: This approach identifies the "Active Participant Basis." It reflects the entry price for the capital that fueled the most recent expansion cycles. It maps directly to the "Active Investors' Realized Price" cited by institutional research firms, identifying the immediate psychological "pain threshold" for the current market majority. 3. Institutional Mean (Hybrid Mode) • The Logic: A 50/50 mathematical blend of the Conservative Floor and the Wall Street Entry . • Justification: This is the "Equilibrium Zone." It serves as a neutral baseline by balancing early-stage "Genesis" conviction with late-cycle volatility. It represents the median cost basis of all current institutional holders. 4. The Shadow Corridor (Full Range) • The Logic: Visualizes the entire spread between the Conservative Floor and the Wall Street Entry. • Justification: The "Structural Support Cloud." Instead of a single price, it defines a regime . As long as Bitcoin remains above this cloud, the institutional trend remains in an "Expansion Phase." A re-entry into this corridor suggests a transition from a trending market into a value-accumulation phase. Tactical Playbook: Scenario Logic The Shadow Corridor (Full Range) visualizes the area between these two models, creating an "Institutional War Zone." • Active Support Test: When price tests the Wall Street Entry (upper boundary), it indicates the active institutional majority is at breakeven. Expect significant defensive buying (bids) as funds protect their yearly performance reports. • Deep Value Regime: Trading inside the Corridor is defined as a "Value Regime." This is where institutional accumulation historically absorbs retail capitulation. • The Premium Trap: When the distance between price and the Corridor exceeds 35-40%, the market is "speculatively overextended," signaling a high probability of mean-reversion. • Macro Breakdown: A Weekly (1W) candle closing below the Conservative Floor (lower boundary) signals a structural trend shift, indicating the majority of ETF-era capital is officially in a drawdown. Operational Recommendation Best viewed on the Daily (1D) timeframe for macro structural analysis, providing the most reliable signal for institutional defense zones. Tags: bitcoin, btc, etf, blackrock, ibit, institutional, cost-basis, vwap, macro, cycle, realized-price, Rob Maths
Wskaźnik Pine Script®
od Rob_Maths