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MULTIPLE TIME-FRAME STRATEGY(TREND, MOMENTUM, ENTRY) Hey everyone, this is one strategy that I have found profitable over time. It is a multiple time frame strategy that utilizes 3 time-frames. Highest time-frame is the trend, medium time-frame is the momentum and short time-frame is the entry point. Long Term: - If closed candle is above entry then we are looking for longs, otherwise we are looking for shorts Medium Term: - If Stoch SmoothK is above or below SmoothK and the momentum matches long term trend then we look for entries. Short Term: - If a moving average crossover(long)/crossunder(short) occurs then place a trade in the direction of the trend. Close Trade: - Trade is closed when the Medium term SmoothK Crosses under/above SmoothD. You can mess with the settings to get the best Profit Factor / Percent Profit that matches your plan. Best of luck!
Strategia Pine Script®
di tux
4
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow. 🟩🟥 Imbalance boxes: “Crowd rushed, gaps left” What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited. Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops. ⏩How to use: Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points. ↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?” What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias. Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns. ⏩How to use: Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering. 🧱Order blocks: “Where big players remember” What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines. Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase. ⏩ How to use: Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry. 📊Volume coloring: “How Volume is move?” What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.” Why it helps: Patterns without volume often fade; volume validates strength and intent of moves. ⏩ How to use: Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip. 🧲 BSL/SSL liquidity pools: “Fishing for stops” What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”). Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location. ⏩ How to use: Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on. 🟢🔴 Advanced liquidity grab: “Catch fakeout” What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically. Why it helps: It exposes trap moves (stop hunts) and often precedes true direction. ⏩ How to use: Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick. 🧠 Smart candlestick patterns (only in right place) What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees. Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal. ⏩ How to use: Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean. 🧭 Dashboard: “Context in a glance” ⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning. ⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction. ⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there. 🧩Step-by-step trading flow (with mindset) ⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation. ⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time. ⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO. ⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume. ⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2. Bearish: mirror above. ⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion. 🎛️ Parameter tuning (to reduce human error) ⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live. ⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%. ⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools. ❌Common mistakes → ✅ Better habits ⏩Chasing every breakout → Wait for sweep/rejection, then confirm. ⏩Ignoring volume → Validate strength; cut size or skip on weak volume. ⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded). ⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance. 📝 checklist (before entry) ⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there? ⏩ Is there a close imbalance/OB that price can retest? ⏩ Do we have an effective pattern plus supportive volume? ⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5? •?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Indicatore Pine Script®
di cnagda3
Pivot Points. High & Lows By Reversal Percentage# Pivot Points. High & Lows By Reversal Percentage by Jal9000 📚 Library: pivots This Pine Script library provides a robust function for identifying and tracking pivot points (reversal points) in price data, suitable for integration into custom trading indicators and strategies. 🛠️ Main Features: - ✅ Identifies pivot highs and lows based on configurable price movement thresholds. - ✅ Supports multiple configurations (timeframes and range percentages) within a single script. - ✅ Compatible with request.security for multi-timeframe analysis. - ✅ Configurable to use candle body (open/close) or full candle range (high/low) with ignore_wick . - ✅ Returns both confirmed and temporary pivots for flexible integration. 🎯 Purpose: The pivots library enables Pine Script developers to easily add pivot point detection to their scripts. It identifies significant price reversals by evaluating price movements against a minimum range threshold ( min_range_pct ) and confirming reversals based on a percentage ( reversal_pct ) of the prior trend’s magnitude. The library supports multiple calls with different settings, making it ideal for multi-timeframe strategies. How It Works: The library’s f_calculatePivot function tracks price movements to detect pivot points: - Minimum Range Threshold : A potential pivot is considered if the price moves beyond the min_range_pct percentage of the current high (for a high pivot) or low (for a low pivot), ensuring sufficient movement. - Reversal Confirmation : A pivot is confirmed if the price reverses from the potential pivot by at least the reversal_pct percentage of the distance between the last confirmed pivot and the current potential pivot, measuring the retracement relative to the prior trend’s magnitude. - The function alternates between tracking highs (in an uptrend) and lows (in a downtrend), updating the trend when a pivot is confirmed. - State management uses an array of pivot_state objects, allowing independent calculations for different timeframes and min_range_pct values. Typical Use Cases: - Detecting swing highs and lows for trend-following or reversal strategies. - Visualizing pivot points across multiple timeframes using request.security . - Enhancing custom indicators with reliable pivot detection. - Building strategies that use confirmed pivots as entry/exit signals. Who Should Use It: This library is designed for Pine Script developers who want to incorporate robust pivot point detection into their indicators or strategies without managing complex state logic. Important Note: This library does not generate buy/sell signals on its own. It provides pivot detection tools to be used alongside your existing trading logic. ⚠️ Disclaimer: This library is for educational and informational purposes only. It does not constitute financial advice. ## Technical Reference Functions: f_calculatePivot(series float _high, series float _low, float _min_range_pct, float _reversal_pct) → - Parameters: - _high : The high price series (e.g., high or math.max(open, close) ). - _low : The low price series (e.g., low or math.min(open, close) ). - _min_range_pct : The minimum percentage price movement to consider a potential pivot. - _reversal_pct : The percentage of the prior trend’s distance required to confirm a pivot. - Returns: - A tuple containing: - isNewPivot : Boolean indicating if a new pivot was confirmed. - last_confirmed_pivot : The most recent confirmed pivot (type pivot ). - temp_pivot : The current temporary pivot (type pivot ). Types: - pivot - Fields: - idx (series int) : Bar index of the pivot. - typ (series int) : Type of pivot ( PIVOT_HIGH or PIVOT_LOW ). - prc (series float) : Price of the pivot. - tme (series int) : Timestamp of the pivot. ✨ Example of use: //@version=5 indicator("Pivot Example", overlay=true) import your_username/pivots/1 min_range_pct = input.float(20.0, "Min Range %") reversal_pct = input.float(30.0, "Reversal %") ignore_wick = input.bool(true, "Ignore wick") h = ignore_wick ? math.max(open, close) : high l = ignore_wick ? math.min(open, close) : low = pivots.f_calculatePivot(h, l, min_range_pct, reversal_pct) var pivot prev_pivot = na if is_new_pivot if not na(prev_pivot) and not na(new_pivot) line.new(prev_pivot.idx, prev_pivot.prc, new_pivot.idx, new_pivot.prc, color=color.blue) prev_pivot := new_pivot ## Release Notes v1 - Initial release of the pivots library with f_calculatePivot function for detecting pivot points and supporting multiple configurations and timeframes.
Libreria Pine Script®
di jal9000
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail. 1. General Description Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions. Key Features: Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes. Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses. Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes. Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold). Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle). Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results). Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio. Strategy Settings: Initial capital: $10,000. Pyramiding: Up to 3 positions. Position size: 10% of equity (default_qty_value=10). Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management. Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading. 2. Working Logic (Step by Step) The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works: a. Input Parameters The inputs are grouped for clarity: Herd Behavior (🐑): RSI Period (14): For overbought/oversold detection. Volume MA Period (20): To calculate average volume for spike detection. Herd Threshold (2.0): Volume multiplier for detecting herd activity. Liquidity Analysis (💧): Liquidity Lookback (50): Bars to check for recent highs/lows. Liquidity Sensitivity (1.5): Volume multiplier for trap detection. Institutional Flow (🏦): Institutional Volume Multiplier (2.5): For detecting large volume spikes. Institutional MA Period (21): For Accumulation/Distribution smoothing. Nash Equilibrium (⚖️): Nash Period (100): For calculating price mean and standard deviation. Nash Deviation (0.02): Multiplier for equilibrium bands. Risk Management (🛡️): Use Stop-Loss (true): Enables SL at 2% below/above entry price. Use Take-Profit (true): Enables TP at 5% above/below entry price. b. Herd Behavior Detection RSI (14): Checks for extreme conditions: Overbought: RSI > 70 (potential herd buying). Oversold: RSI < 30 (potential herd selling). Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold). Momentum: Price change over 10 bars (close - close ) compared to its SMA(20). Herd Signals: Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background). Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background). c. Liquidity Trap Detection Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback). Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones. Trap Conditions: Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5). Down Trap: Price breaks recent low, closes above it, with a volume spike. Visualization: Traps are marked with small red/green crosses above/below bars. d. Institutional Flow Analysis Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity. Accumulation/Distribution (AD): Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time. Smoothed with SMA(21) (inst_ma_length). Accumulation: AD > MA + high volume = Institutions buying. Distribution: AD < MA + high volume = Institutions selling. Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying. e. Nash Equilibrium Calculation: Price mean: SMA(100) (nash_period). Standard deviation: stdev(100). Upper Nash: Mean + StdDev x 0.02 (nash_deviation). Lower Nash: Mean - StdDev x 0.02. Conditions: Near Equilibrium: Price between upper and lower Nash bands (stable market). Above Nash: Price > upper band (overbought, sell potential). Below Nash: Price < lower band (oversold, buy potential). Visualization: Orange line (mean), red/green lines (upper/lower bands). f. Game Theory Signals The strategy generates three types of signals, combined into long/short triggers: Contrarian Signals: Buy: Herd selling + (accumulation or down trap) = Go against retail panic. Sell: Herd buying + (distribution or up trap). Momentum Signals: Buy: Below Nash + positive smart money + no herd buying. Sell: Above Nash + negative smart money + no herd selling. Nash Reversion Signals: Buy: Below Nash + rising close (close > close ) + volume > MA. Sell: Above Nash + falling close + volume > MA. Final Signals: Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy. Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell. g. Position Management Position Sizing (Minimax Principle): Default: 1.0 (10% of equity). In Nash equilibrium: Reduced to 0.5 (conservative). During institutional volume: Increased to 1.5 (aggressive). Entries: Long: If long_signal is true and no existing long position (strategy.position_size <= 0). Short: If short_signal is true and no existing short position (strategy.position_size >= 0). Exits: Stop-Loss: If use_sl=true, set at 2% below/above entry price. Take-Profit: If use_tp=true, set at 5% above/below entry price. Pyramiding: Up to 3 concurrent positions allowed. h. Visualization Nash Bands: Orange (mean), red (upper), green (lower). Background Colors: Herd buying: Red (90% transparency). Herd selling: Green. Institutional volume: Blue. Signals: Contrarian buy/sell: Green/red triangles below/above bars. Liquidity traps: Red/green crosses above/below bars. Tables: Game Theory Table (Top-Right): Herd Behavior: Buying frenzy, selling panic, or normal. Institutional Flow: Accumulation, distribution, or neutral. Nash Equilibrium: In equilibrium, above, or below. Liquidity Status: Trap detected or safe. Position Suggestion: Long (green), Short (red), or Wait (gray). Backtest Table (Bottom-Right): Total Trades: Number of closed trades. Win Rate: Percentage of winning trades. Net Profit/Loss: In USD, colored green/red. Profit Factor: Gross profit / gross loss. Max Drawdown: Peak-to-trough equity drop (%). Win/Loss Trades: Number of winning/losing trades. Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown). Avg Win/Loss Ratio: Average win per trade / average loss per trade. Last Update: Current time. i. Backtesting Metrics Tracks: Total trades, winning/losing trades. Win rate (%). Net profit ($). Profit factor (gross profit / gross loss). Max drawdown (%). Simplified Sharpe ratio (returns / drawdown). Average win/loss ratio. Updates metrics on each closed trade. Displays a label on the last bar with backtest period, total trades, win rate, and net profit. j. Alerts No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")). Use TradingView's alert system with Strategy Tester outputs. 3. Usage Tips Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals. Settings: Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping). Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets. Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto). Nash Period: Increase to 200 for longer-term analysis. Backtesting: Use TradingView's Strategy Tester to evaluate performance. Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability. Test on different assets/timeframes to ensure robustness. Live Trading: Start with a demo account. Combine with other indicators (e.g., EMAs, support/resistance) for confirmation. Monitor liquidity traps and institutional flow for context. Risk Management: Always use SL/TP to limit losses. Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading). Avoid over-leveraging (pyramiding=3 can amplify risk). Troubleshooting: If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity). Ensure sufficient historical data for Nash and liquidity calculations. If tables overlap, adjust position.top_right/bottom_right coordinates. 4. Key Differences from the Previous Indicator Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting. Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones. Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns. Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator. Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy. Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator. 5. Conclusion The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management. If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
Strategia Pine Script®
di EfeErdost
Volume Comparison with Buyer/Seller PressureTHIS indicator is well-structured and provides a comprehensive way to analyze volume alongside buyer and seller pressure. This indicator helps traders analyze volume dynamics in the stock or cryptocurrency market while simultaneously assessing buyer and seller pressure. Its use case revolves around identifying strong buying or selling activity, neutral conditions, and volume trends over different time periods. Below is a breakdown of how to use this indicator: This Pine Script indicator helps traders analyze volume dynamics in the stock or cryptocurrency market while simultaneously assessing buyer and seller pressure. Its use case revolves around identifying strong buying or selling activity, neutral conditions, and volume trends over different time periods. Below is a breakdown of how to use this indicator: Key Features and Use Case Volume-Based Insights: Displays daily volume and compares it to the 3-day, 5-day, 10-day, and 20-day moving averages of volume. Helps traders identify days with unusual volume spikes relative to historical averages, signaling potential reversals or breakouts. Buyer and Seller Pressure: Measures buyer pressure: how much the closing price dominates the trading range of the day. Measures seller pressure: how much the opening price dominates the trading range of the day. Highlights areas where buying or selling pressure is particularly strong (≥ 0.75). Background Signals: Green Background: Strong buyer pressure (indicative of potential upward momentum). Red Background: Strong seller pressure (indicative of potential downward momentum). Gray Background: Neutral market conditions (neither buying nor selling dominance). Alerts: Alerts traders when: Strong buying signals are detected. Strong selling signals are detected. The market is neutral, with neither buyers nor sellers in control. Decision-Making Aid: Combines volume analysis with price action (buyer/seller pressure) to help traders identify: Potential breakout opportunities. Reversal points. Neutral zones where a trader might avoid trading due to indecision in the market. How to Use It in Trading:-------> Add the Indicator: Apply this Indicator to your Trading View chart to start visualizing the buyer/seller pressure and volume averages. Interpret Volume Trends: Look for days when daily volume significantly exceeds the 3-day, 5-day, 10-day, or 20-day average. These could indicate: A breakout when aligned with strong buyer pressure. A sell-off when aligned with strong seller pressure. React to Background Colors: * Green Background (Strong Buyer Pressure): Suggests buyers are dominating the market, and upward momentum is likely. Use this signal to consider buying opportunities, especially if volume is above average. * Red Background (Strong Seller Pressure): Indicates sellers are in control, and prices might fall. Use this signal to consider selling or shorting opportunities. * Gray Background (Neutral Market): Reflects indecision; avoid entering trades during these periods unless other signals support a strategy. Volume Confirmation: Combine volume analysis with buyer/seller pressure to confirm trends. Example: A high daily volume with strong buyer pressure signals a high-probability uptrend. Set Alerts: Enable alerts to receive real-time notifications when the market generates strong buy/sell signals or enters a neutral zone. Who Can Benefit: * Day Traders: Quickly assess intraday market dynamics and volume trends. * Swing Traders: Identify breakout opportunities or reversal points based on strong buyer/seller pressure. * Volume Analysts: Compare historical volume averages to current conditions for deeper insights. Limitations: Does not guarantee success—should be combined with other technical indicators or strategies. In low-volume markets, signals may produce false positives or unreliable results. Assumes traders have basic knowledge of price action and volume analysis. By integrating this indicator into your strategy, you gain a powerful tool to analyze buyer/seller dominance alongside volume trends, improving your market timing and trade execution. The Buyer and Seller Pressure components in this indicator provide crucial insights into the market's sentiment and momentum by analyzing the price action relative to the trading volume. Here's how they are used: 1. Buyer Pressure: Formula: Buyer Pressure = (Close − Open) / (High − Low ) Interpretation: * A high buyer pressure (≥ 0.75) indicates strong bullish sentiment, where the price closes much higher than it opened, and the range (high-low) is sufficiently wide. * It identifies periods of aggressive buying, often signaling potential bullish trends or confirming upward momentum. 2. Seller Pressure: Formula: Seller Pressure = (Close − Open ) / (High -Low ) ​ Interpretation: *A high seller pressure (≥ 0.75) suggests strong bearish sentiment, where the price closes much lower than it opened, within a wide range. *It helps identify periods of aggressive selling, signaling potential bearish trends or downward momentum. Purpose in the Indicator: 1. Market Sentiment Analysis: * Buyer Pressure and Seller Pressure allow traders to gauge market sentiment—whether buyers or sellers dominate a particular time frame. * This helps in identifying trend reversals or confirmations. 2. Decision-Making Framework: * The indicator uses thresholds (default 0.75) to classify the market into: * Strong Buy Signal: When buyer pressure is dominant. * Strong Sell Signal: When seller pressure is dominant. * Neutral Signal: When neither buyer nor seller pressure dominates. *This classification provides a straightforward decision-making tool for traders. Risk Management: *By identifying periods of strong buying or selling, traders can avoid entering trades in highly volatile or one-sided markets, which helps reduce risk. Volume Confirmation: *Integrating volume data with buyer/seller pressure helps confirm trends. For example: *High buyer pressure accompanied by higher-than-average volume strengthens the bullish signal. *Similarly, high seller pressure with higher-than-average volume confirms bearish signals. Trade Timing: *The indicator highlights conditions of potential entry (strong buy) or exit (strong sell), allowing traders to time their trades better based on real-time market activity. Use Case: *Example: *Suppose the indicator shows Buyer Pressure = 0.85 with daily volume above the 3-day average. This combination suggests strong bullish activity with momentum, signaling a buy opportunity. *Conversely, if Seller Pressure = 0.80 with volume above the 5-day average, it signals strong bearish momentum, ideal for selling or shorting. This indicator combines buyer/seller pressure with volume dynamics, making it valuable for short-term and intraday traders looking for precise market entries and exits. The background color in this indicator plays an important visual role in helping traders quickly identify the market sentiment based on buyer and seller pressure. It provides a dynamic, color-coded background that changes depending on the strength of the market's buying or selling activity. Here's how it works: Background Color Logic: 1. Green Background (Strong Buy Signal): *Condition: The background turns green when buyer pressure is greater than or equal to 0.75 (strong buying pressure). *Interpretation: A green background indicates that there is significant bullish sentiment in the market, with strong buying activity. Traders can interpret this as an environment conducive to buying or holding long positions. *Visual Effect: This helps to quickly spot bullish market conditions, reinforcing potential entry signals for buyers. 2.Red Background (Strong Sell Signal): *Condition: The background turns red when seller pressure is greater than or equal to 0.75 (strong selling pressure). *Interpretation: A red background indicates that the market is dominated by selling, showing strong bearish sentiment. Traders can consider this as a signal to sell or short the asset. *Visual Effect: The red background highlights moments when the market is heavily selling, prompting traders to either exit long positions or take short positions. Gray Background (Neutral/Indecision Zone): Condition: The background turns gray when neither buyer nor seller pressure exceeds 0.75. This means the market is neutral, with no dominant bullish or bearish sentiment. Interpretation: A gray background suggests market indecision or balance between buyers and sellers. It can indicate periods of consolidation or sideways movement where no strong trend is forming. Visual Effect: The gray background helps traders avoid entering trades when the market lacks a clear direction or when the sentiment is neutral, reducing risk during indecisive times. Practical Use: Instant Visual Confirmation: *Traders can use the background color as an instant confirmation of the market’s sentiment. For instance, if the background turns green, traders might feel more confident in making a long (buy) trade. *If the background turns red, it serves as a strong visual cue to short or exit a long position. Helps with Trade Timing: *The background color can be used in conjunction with other indicators and volume data to time entries and exits more effectively. For example: *A green background with strong volume indicates a strong trend that could justify a buy. *A red background with a significant volume surge signals strong selling pressure, which could prompt a sell. Simplifies Market Analysis: *For traders who prefer visual cues over complex analysis, the background color simplifies market conditions. Instead of focusing on individual numbers or values, the color-coded background gives them a quick, intuitive view of the market sentiment. Summary: * Green background = Strong buying pressure (bullish sentiment) * Red background = Strong selling pressure (bearish sentiment) * Gray background = Neutral market (indecision or balance between buyers and sellers) This background color functionality helps traders stay aware of the prevailing market sentiment at a glance, providing an intuitive way to guide trading decisions.
Indicatore Pine Script®
di ask2maniish
Volume Imbalance Analyzer - 70% & 80% Version1.01Here’s a clean “definition” you can drop into your docs. It explains **what** the indicator is, **what it helps with**, and **how** to use it—plain and practical. # Definition **Volume Imbalance Analyzer (70% & 80%)** flags bars where estimated buy vs. sell volume is heavily one-sided. It colors those bars, adds labels (B70/B80 or S70/S80), and can alert you in real time. The goal is to quickly spot spots of **aggressive participation** (buyers or sellers) that often act as magnets for a **retest** or as **exhaustion/continuation** areas. # What it helps you do * **Find high-energy bars** where one side dominates (potential turning or continuation points). * **Plan retests:** Track when price comes back into the imbalance candle’s range (common entry/take-profit logic). * **Filter trades:** Only act when the market shows unusual pressure (≥70% or ≥80%). * **Add context to setups:** Combine with S/R, FVGs, or trend tools to time entries with less guesswork. * **Alert-driven workflow:** Get notified the moment extreme pressure prints. # How it helps (workflow) 1. **Scan for signals:** * **B80/B70** = strong buying; **S80/S70** = strong selling. * 80% is “extreme” and overrides 70%. 2. **Mark the zone:** The imbalance candle’s **high–low** defines a zone. Many traders wait for a **retest** into that range. 3. **Decide intent:** * After **B80/B70**, look for pullbacks to buy (or fades if you see exhaustion). * After **S80/S70**, look for rallies to sell (or fades if exhaustion). 4. **Confirm with context:** Check trend, key levels, liquidity, session timing, ATR/volatility. 5. **Manage risk:** Place stops beyond the zone; size trades so a failed retest doesn’t ruin the day. # How it works (under the hood, briefly) The script **estimates buy/sell volume** from each candle’s body, wicks, and total volume, then computes an **imbalance %**. If the % crosses **70%** or **80%** (scaled by a Sensitivity setting), it paints the bar, drops a label, and optionally fires an alert. It also stores the imbalance candle’s range so you can watch for a **retest**. # Reading the signals (quick guide) * **B80**: Extreme buyer pressure → watch for pullback buys or exhaustion shorts, depending on context. * **B70**: Strong buyer pressure → mild continuation bias. * **S80**: Extreme seller pressure → watch for rally sells or exhaustion longs. * **S70**: Strong seller pressure → higher reversal probability noted in the table (informational). # Configuration tips * **Sensitivity**: Higher = more bars qualify (more signals). * **Label distance**: Scales with ATR so labels don’t overlap candles. * **Colors/opacity**: Separate for 70% vs 80% and buyer vs seller. * **Alerts**: Enable to catch signals live without staring at the screen. # Notes & limits * Uses **estimation** (not true bid/ask) on most symbols; treat as a **context tool**, not a stand-alone system. * The optional stats table’s “expected outcomes” are **informational**, not live probabilities. * Works on any timeframe; results improve when combined with structure and risk controls.
Indicatore Pine Script®
di Leul_Taye
Cumulative Volume Delta (SB-1) 2.0 📈 Cumulative Volume Delta (CVD) — Stair-Step + Threshold Alerts 🔍 Overview This Cumulative Volume Delta (CVD) tool visualizes aggressive buying and selling pressure in the market by plotting candlestick-style bars based on volume delta. It helps traders understand which side — buyers or sellers — is exerting more control on lower timeframes and highlights momentum shifts through stair-step patterns and delta threshold breaks. Resets to zero at EOD Ideal for futures traders, scalpers, and intraday strategists looking for orderflow-based confirmation. 🧠 What Is CVD? CVD (Cumulative Volume Delta) measures the difference between market buys and sells over a specific timeframe. When the delta is rising, it suggests buyers are being more aggressive. Falling delta suggests seller dominance. This script aggregates volume delta from a lower timeframe and plots it in a higher timeframe context, allowing you to track microstructure shifts within larger candles. 📊 Features ✅ CVD Candlesticks Each bar represents volume delta as an OHLC-style candle using: Open: Delta at the start of the bar High/Low: Peak delta range Close: Final delta value at bar close Teal candles = Net buying pressure Red candles = Net selling pressure ✅ Threshold Levels (Key Visual Zones) The script includes horizontal dashed lines at: +5,000 and +10,000 → Signify strong buying pressure -5,000 and -10,000 → Signify strong selling pressure 0 line → Neutrality line (no net pressure) These levels act as volume-based support/resistance zones and breakout confirmation tools. For example: A CVD cross above +5,000 shows buyers taking control A CVD cross above +10,000 implies strong bullish momentum A CVD cross below -5,000 or -10,000 signals intense selling pressure 📈 Stair-Step Pattern Detection Detects two specific volume-based continuation setups: Bullish Stair-Step: Both the high and low of the CVD candle are higher than the previous candle Bearish Stair-Step: Both the high and low of the CVD candle are lower than the previous candle These patterns often appear during trending moves and serve as confirmation of strength or continuation. Visual markers: 🟢 Green triangles below bars = Bullish stair-step 🔴 Red triangles above bars = Bearish stair-step 🔔 Alert Conditions Get real-time alerts when: Bullish Stair-Step is detected Bearish Stair-Step is detected CVD crosses above +5,000 CVD crosses below -5,000 📢 Alerts only trigger on crossover, not every time CVD remains above or below. This avoids repetitive notifications. ⚙️ Inputs & Customization Anchor Timeframe: The higher timeframe to which CVD data is applied (default: 1D) Lower Timeframe: The timeframe used to calculate the CVD delta (default: 5 minutes) Optional Override: Use custom timeframe toggle to force your own micro timeframe 📌 How to Use This CVD Indicator (Step-by-Step Guide) ✅ 1. Confirm Bias Using the Zero Line The zero line (0 CVD) represents neutral pressure — neither buyers nor sellers are dominating. Use it as your first filter: 🔼 If CVD is above 0 and rising → Buyer control 🔽 If CVD is below 0 and falling → Seller control 🧠 Tip: CVD rising while price is consolidating may signal hidden buyer interest. ✅ 2. Watch for Crosses of Key Levels: +5,000 and +10,000 These levels act as momentum thresholds: Level Signal Type What It Means +5,000 Buyer breakout Buyers are starting to dominate +10,000 Strong bull bias Strong institutional or algorithmic buying flow -5,000 Seller breakout Sellers are taking control -10,000 Strong bear bias Heavy selling pressure is entering the market Wait for CVD to cross above +5K or below -5K to confirm the active side. Use these crossovers as entry triggers, breakout confirmations, or trade filters. 🔔 Alerts fire only when the level is first crossed, not every bar above/below. ✅ 3. Use Stair-Step Patterns for Continuation Confirmation The indicator shows stair-step patterns using triangle signals: 🟢 Green triangle below bar = Bullish stair-step Suggests a higher high and higher low in delta → buyers stepping up 🔴 Red triangle above bar = Bearish stair-step Suggests lower highs and lower lows in delta → selling pressure building Use stair-step signals: To confirm a continuation of trend As an entry or add-on signal Especially after a threshold breakout 🧠 Example: If CVD breaks above +5K and forms bullish stairs → confirms strong trend, ideal for momentum entries. ✅ 4. Combine with Price Action or Structure CVD works best when used with price, not in isolation. For example: 📉 Price makes a new low but CVD doesn’t → potential bullish divergence 📈 CVD surges while price lags → buyers are absorbing, breakout likely Use it with: VWAP Orderblocks Liquidity sweeps Break of market structure/MSS/BOS ✅ 5. Set Anchor Timeframe = Daily Set Lower Timeframe = 5 minutes (default) This lets you: See intraday flow inside daily bars Confirm whether a daily candle is being built on net buying or selling 🧠 You’re essentially seeing intra-bar aggression within a bigger time structure. 🧭 Example Trading Setup Bullish Scenario: CVD is rising and above 0 CVD crosses above +5,000 → alert fires Green stair-step appears Price breaks local resistance or liquidity sweep completes ✅ Consider long entry with structure and CVD alignment 🎯 Place stops below last stair-step or structural low 📌 Final Notes This tool does not repaint and is designed to work in real-time across all futures, crypto, and equity instruments that support volume data. If your symbol does not provide volume, the script will notify you. Use it in confluence with VWAP, liquidity zones, or structure breaks for high-confidence trades.
Indicatore Pine Script®
di samb817
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors. The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system. This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas. Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels. Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions. Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit. Swing failure patterns help traders identify potential entry points and rejection zones based on price swings. Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics. 🔵 FEATURES The indicator has quite a lot of features that are provided below: Swing market structure Internal market structure Mapping structure Adjustable market structure Strong/Weak H&L Sweep Volumetric Order block / Breakers Fair Value Gaps / Breakers (multi-timeframe) Swing Failure Patterns (multi-timeframe) Deviation area Equal H&L Liquidity Prints Buyside & Sellside Sweep Area Highs and Lows (multi-timeframe) 🔵 BASIC DEMONSTRATION OF ALL FEATURES 1. MARKET STRUCTURE The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator. ➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x'). ➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals. ➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions. ➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions. ➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends. ➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure. 2. VOLUMETRIC ORDER BLOCKS Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone. Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout. Here's a breakdown: ➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again. ➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again. These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure. ➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure. ➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish. Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers. 3. FAIR VALUE GAPS: A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies. FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals. Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG. 4. SWING FAILURE PATTERN (SFP): The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions. SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction. How it works: Pattern Detection: The indicator scans for price movements that breach recent highs or lows. Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP. ➤ SFP Display: Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards. Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards. ➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation: For bullish SFPs, the deviation line appears above the current price. For bearish SFPs, the deviation line appears below the current price. These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum. With Volume Threshold and Filtering of SFP traders can adjust their trading style: Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity. SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as: 5. LIQUIDITY CONCEPTS: ➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading. EQL: A series of two or more swing lows that occur at approximately the same price level. EQH: A series of two or more swing highs that occur at approximately the same price level. EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades. This multi-period feature allows traders to select less and more significant EQL and EQH: ➤ Liquidity wicks: Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point: ➤ Buy and Sell side liquidity: The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders. The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed. ➤ Sweep Liquidation Zones: Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities. 🔵 USAGE & EXAMPLES The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades. MS + OBs The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum. The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market. SFP + Bear OB This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside. Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern: BUY – SELL sides + EQL The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher. The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout. EQL + Bull ChoCh This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals. Liquidity grab + Bull ChoCh + FVGs This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one. As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher. The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone. In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy. 🔵 SETTINGS Window: limit calculation period Swing: limit drawing function Mapping structure: show structural points Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation Algorithmic loopback: pivot point look back Show Last: Amount of Order block to display Hide Overlap: hide overlapping order blocks Construction: Size of the order blocks Fair value gaps: Choose between normal FVG or Breaker FVG Mitigation: (close - wick - avg) point to mitigate the order block/imbalance SFP lookback: find a higher / lower point to improve accuracy Threshold: remove less relevant SFP Equal H&L: (short-mid-long term) display longer term Liquidity Prints: Shows wicks of candles where liquidity was grabbed Sweep Area: Identify Sweep Liquidation areas By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Indicatore Pine Script®
di BigBeluga
122
Footprint Chart by Th16rryDescription of the "Footprint Chart" Indicator This indicator is an approximation of a true **Footprint Chart** adapted for TradingView, which does not provide access to tick-by-tick data or detailed order book information. It relies on **heuristics** to estimate the distribution of volume between buyers and sellers for each candlestick. Key Features: - Estimation of Buy/Sell Volume: The indicator splits the total volume of a candlestick into two parts based on the candle's nature: - For a bullish candle (close > open), it assumes that **60% of the volume** is executed on the ask (buys) and **40% on the bid** (sells). - For a bearish candle (close < open), the estimation is reversed (40% buys, 60% sells). - For a neutral candle (close = open), the volume is evenly distributed at 50% for each side. - Calculation of a Simplified Delta: The delta is defined as the difference between the estimated buy volume and sell volume. This delta helps quickly identify the dominant market pressure—positive for buyer dominance and negative for seller dominance. - Visual Display: - A label is placed on each candlestick displaying the delta value, with a green background for a positive delta (indicating buying pressure) and red for a negative delta (indicating selling pressure). - A table in the top-right corner of the chart summarizes the estimated volumes for the current candle: buy volume, sell volume, and total volume. #### How to Use the Indicator: - Analyzing Buy/Sell Pressure: By observing the label's color and the delta value, a trader can quickly assess whether the market shows a dominant buying or selling pressure during a given candle. - Complementing Other Tools: This indicator can be used alongside other technical analysis tools, such as the Volume Profile or trend indicators, to gain a more comprehensive understanding of market behavior. - Supporting Decision Making: By providing a visual estimate of the volume distribution, it can help identify divergences between price movement and volume activity, which may signal potential reversals or confirm ongoing trends. Limitations: - Heuristic Approximation: The method of volume distribution is based on simple assumptions and does not reflect the actual order flow, which would require tick-by-tick data to be accurately represented. - Data Limitations on TradingView: Due to TradingView’s restrictions on accessing detailed order book data, this indicator can only approximate a Footprint Chart and does not replace specialized tools. In summary, the "Footprint Chart" indicator provides a visual and quick estimation of the volume distribution between buyers and sellers for each candlestick, offering valuable insights into order flow dynamics while remaining aware of its heuristic limitations.
Indicatore Pine Script®
di Th16rry
Directional Movement Index + Fisher Price Action With LabelsDIRECTIONAL MOVEMENT INDEX + FISHER PRICE ACTION WITH LABELS Directional Movement Index shows buy and sell pressure. Fisher transform shows price action trending bullish or bearish. Caution dots notify you of conflicting trends. ***HOW TO USE*** The top lines are the fisher transform showing you the price action trend. The bottom lines filled with color shows the DMI directional movement index. The yellow dots at the bottom tell you if these two indicators are currently giving conflicting signals. DMI If the green line is above the red line and the background is colored green, there is more market buying than selling. If the red line is above the green line and the background is colored red, there is more market selling than buying. FISHER TRANSFORM If the lines are painted green, the price action is trending up. If the lines are painted red, the price action is trending down. CAUTION DOTS If a yellow dot shows up at the bottom of the chart, it is notifying you that the DMI and Fisher Transform are currently giving opposite signals…. so use caution. ***BULLISH/BEARISH LABEL*** There is also a label on the right side that tells you whether there is more buying or selling. This table updates in real time and changes colors so you can get an easy, quick interpretation of the current buy/sell pressure without having to look at the indicator data so you can make faster decisions on whether to enter or exit a trade. Green means more market buying than selling. Red means more market selling than buying. Blue means an equal amount of market buying and selling. If buying pressure is bullish but below the 20 level, a second label will show up in purple letting you know there is weak buying pressure so use caution. If selling pressure is bearish but below the 20 level, a second label will show up in purple letting you know there is weak selling pressure so use caution. There is a third label showing the current trend of the fisher transform. Green means bullish price action. Red means bearish price action. The fourth label is orange and only shows up when the DMI and Fisher Transform are currently giving opposite signals, so make sure you use caution during those times. ***MARKETS*** This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex. ***TIMEFRAMES*** This directional movement index + fisher transform indicator can be used on all timeframes. ***TIPS*** Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Volume Profile, Momentum, Auto Support And Resistance and Money Flow Index in combination with this Directional Movement Index + Fisher Transform. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Indicatore Pine Script®
di FriendOfTheTrend
4
Price and Volume Divergence Analyzer How to Use the Indicator Main Purpose: Identify divergences between price movement, the volume line, and the weighted volume line to predict potential reversals. Volume Line Explanation: At zero: Equal buying and selling volume. At 1: Double the buying volume vs. selling. At -1: Double the selling volume vs. buying. Divergence: Price rising, volume line falling: Sellers offloading to buyers—likely reversal downward. Price falling, volume line rising: Buyers stepping in—likely reversal upward. Higher/Lower Volume Movement Line: At zero: Equal volume required for price movement. At 1: High efficiency—half the volume needed to move price. At -1: Low efficiency—double the volume needed to move price. Above volume line: Movement aligns with efficient volume. Below volume line: Inefficient price movement. Candle Fill Colors: Shaded based on whether the current close is higher or lower than the previous close. Settings Overview EMA Settings: Timeframe Selection: Use a lower timeframe than your chart for accuracy. Avoid selecting a timeframe higher than your chart. EMA Length Option: Default: Sets lengths automatically (EMA = 14, EMA of EMA = 3). User Input: Allows custom EMA length. Calculation Type: EMA: Standard exponential moving average. EMA of EMA: Applies EMA three times for smoother values. Volume Line Settings: Line Width: Adjust thickness. Colors: More Buying: Green (default). More Selling: Red (default). Higher/Lower Volume Movement Line: Line Width: Adjust thickness. Colors: Higher Volume Movement: Indicates higher volume required. Lower Volume Movement: Indicates lower volume required. Up/Down Candle Fill: Colors: Up Candle: Green (default). Down Candle: Red (default). Transparency: Adjust percentage for visibility. Balance Line Settings: Line Width and Color: Equilibrium line showing equal buying/selling volume at zero.
Indicatore Pine Script®
di Dean_Crypto
3
Volume Profile With Buy & Sell Pressure LabelVOLUME PROFILE WITH BUY AND SELL PRESSURE LABEL This volume profile indicator shows volume traded for each bar and is colored according to the difference in buy and sell pressure(DMI). ***HOW TO USE*** If the bar and background is colored green, there is more market buying than selling on that bar. If the bar and background is colored red, there is more market selling than buying on that bar. If the bar and background is colored blue, there is an equal amount of market buying and selling on that bar. ***BUY/SELL LABEL*** There is also a label on the right side that tells you whether there is more buying or selling on the current bar. This table updates in real time and changes colors so you can get an easy, quick interpretation of the current buy/sell pressure without having to look at the volume bars so you can make faster decisions on whether to enter or exit a trade. The table changes colors in sync with the volume bars and background. Green means more market buying than selling. Red means more market selling than buying. Blue means an equal amount of market buying and selling. ***MARKETS*** This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex. ***TIMEFRAMES*** This volume profile indicator can be used on all timeframes. ***TIPS*** Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, DMI, Momentum, Auto Support And Resistance and Money Flow Index in combination with this Volume Profile. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Indicatore Pine Script®
di FriendOfTheTrend
8
Delta Volume[integral]Delta Volume – Visualizing Accumulated Candle Dominance This indicator measures and accumulates the net difference between bullish and bearish candle volumes over a user-defined range of bars. It integrates the volume dominance over time, offering traders a unique view into how buying or selling pressure has been distributed. 🔍 Concept & Logic Delta Volume Calculation For each bar, the script looks x to y bars back in time (e.g., from 10 bars ago to 5 bars ago) and: Adds volume for bullish candles (close > open) Subtracts volume for bearish candles (close < open) This gives us a snapshot of volume dominance for that range. What is Integration in This Context? Integration, in this script, refers to the accumulation (summation) of these dominance differences over a period. Much like integrating a function in calculus (i.e., area under the curve), here we are integrating the "net advantage" of buyers vs. sellers. Over time, this builds a cumulative picture of directional pressure, showing whether buyers (positive integration) or sellers (negative integration) are in control. Why It Matters Unlike simple volume charts, this tool filters noise by focusing on who is dominating the market—buyers or sellers—and tracks that dominance over time. It gives a macro-level view of pressure buildup, which can precede major breakouts or reversals. 📊 Visual Features Buy Volume (green columns): Sum of volumes from bullish candles. Sell Volume (red columns): Sum of volumes from bearish candles. Candle Difference (white line): Net dominance difference (Buy - Sell). Integrated Dominance Difference: Cumulative label showing the total buyer-seller dominance over the defined integration period. Zero Line (dashed): Balance point. 🧠 Use Case Detect divergences between price and cumulative volume pressure. Confirm trend strength when integrated delta volume aligns with price movement. Spot accumulation or distribution phases invisible on price action alone. ⚠️ If you're applying this to symbols with no volume data (e.g., certain Forex or indices), the script will stop with an error message.
Indicatore Pine Script®
di kdhchgo