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SMT Divergence ICT 02 [TradingFinder] Smart Money Technique SMC🔵 Introduction SMT Divergence (Smart Money Technique Divergence) is a price action-based trading concept that detects discrepancies in market behavior between two assets that are generally expected to move in the same direction. Rooted in ICT (Inner Circle Trader) methodology, this approach helps traders recognize subtle signs of market manipulation or imbalance, often ahead of traditional indicators. The core idea behind SMT divergence is simple: when two correlated instruments—such as currency pairs, indices, or assets from the same sector—start forming different swing points (highs or lows), this can reveal a lack of confirmation in the trend. Such divergence is often a precursor to a price reversal or pause in momentum. This technique works effectively across various markets including Forex, stocks, and cryptocurrencies. It’s particularly valuable when used alongside concepts like liquidity sweeps, market structure breaks (MSBs), or order block identification. In advanced use cases, Sequential SMT helps uncover patterns of alternating divergences across sessions, often signaling engineered liquidity traps before price reacts. When combined with the Quarterly Theory—which segments market behavior into Accumulation, Manipulation, Distribution, and Continuation/Reversal phases—traders gain insight not only into where divergence happens, but when it's most likely to be significant within the market cycle. Bullish SMT : Bullish SMT Divergence occurs when one asset prints a higher low while the correlated asset forms a lower low. This asymmetry often suggests that the downside move is losing strength, hinting at a potential bullish shift. Bearish SMT : Bearish SMT Divergence is formed when one asset creates a higher high, while the second asset fails to confirm by printing a lower high. This typically signals weakening bullish pressure and the possibility of a reversal to the downside. 🔵 How to Use The SMT Divergence indicator is designed to detect imbalances between two positively correlated assets—such as major currency pairs, indices, or commodities. These divergences often indicate early signs of market inefficiency or smart money manipulation and can help traders anticipate trend shifts with higher precision. Unlike traditional divergence indicators or earlier versions of this script, this upgraded version does not rely solely on consecutive pivot comparisons. Instead, it dynamically scans all available pivots within the chart to identify divergences at any structural level—major or minor—across the price action. This broader detection method increases the reliability and frequency of meaningful SMT signals. Moreover, when integrated with Sequential SMT logic, the indicator is capable of identifying multiple divergence sequences across sessions. These sequences often signal engineered liquidity traps and can be mapped within the Quarterly Theory framework, allowing traders to pinpoint not just the presence of divergence but also the phase of the market cycle it appears in (Accumulation, Manipulation, Distribution, or Continuation). 🟣 Bullish SMT Divergence This signal occurs when the primary asset forms a higher low, while the correlated asset forms a lower low. This pattern implies weakening bearish momentum and a potential shift to the upside. If the correlated asset breaks its previous low but the primary asset does not, this divergence suggests absorption of selling pressure and possible accumulation by smart money—making it a strong bullish signal, especially when aligned with a favorable market phase (e.g., the end of a manipulation phase in Q2). 🟣 Bearish SMT Divergence This signal occurs when the primary asset creates a higher high, while the correlated asset forms a lower high. This mismatch indicates fading bullish momentum and a potential reversal to the downside. If the correlated asset fails to confirm a breakout made by the main asset, the divergence may point to distribution or exhaustion. When seen within Q3 or Q4 phases of the Quarterly Theory, this pattern often precedes sharp declines or fake-outs engineered by smart money 🔵 Settings ⚙️ Logical Settings Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD). Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings. Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection. Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active). Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared. Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated. 🎨 Display Settings Show Bullish SMT Line : Draws a line connecting the bullish divergence points. Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected. Bullish Color : Sets the color for bullish SMT markers (label, shape, and line). Show Bearish SMT Line : Draws a line for bearish divergence. Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found. Bearish Color : Sets the color for bearish SMT visual elements. 🔔 Alert Settings Alert Name : Custom name for the alert messages (used in TradingView’s alert system). Message Frequency : All : Every signal triggers an alert. Once Per Bar : Alerts once per bar regardless of how many signals occur. Per Bar Close : Only triggers when the bar closes and the signal still exists. Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC). Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals. Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals 🔵Conclusion The SMT Plus indicator offers a refined and powerful approach to detecting smart money behavior through divergence analysis between correlated assets. By removing the limitations of consecutive pivot comparisons and allowing for broader structural detection, it captures more accurate and timely signals that often precede major market moves. When paired with frameworks like Sequential SMT and the Quarterly Theory, the indicator not only highlights where divergence occurs, but also when in the market cycle it's most likely to matter. Its flexible settings, customizable visuals, and integrated alert system make it suitable for intraday scalpers, swing traders, and even long-term macro analysts. Whether you're using it as a standalone decision-making tool or combining it with other ICT concepts, SMT Plus gives you an edge in recognizing manipulation, timing reversals, and staying in sync with the real market narrative—not just the chart.
Penunjuk Pine Script®
oleh TFlab
15
Asset Pair Divergence Candlestick with Performance TableIndicator Description: Asset Pair Divergence Candlestick with Performance Table Overview The "Asset Pair Divergence Candlestick with Performance Table" is a versatile Pine Script v5 indicator designed for traders who want to analyze the relationship between two financial assets, visualize their divergence as a candlestick, and compare their performance over a specified period. This tool is ideal for traders seeking to exploit divergence opportunities, understand correlation dynamics (direct or inverse), and make informed decisions based on relative performance. It overlays on the chart and works independently of the chart’s timeframe, allowing flexibility across various trading strategies. Key Features Custom Asset Pair Analysis: Compare any two assets (e.g., "SPY" vs. "ES1!", "AAPL" vs. "MSFT", or "NASDAQ:QQQ" vs. "NQ1!") by inputting their ticker symbols. Analyzes divergence and correlation between the two assets based on a user-selected timeframe. Divergence Candlestick: Displays a candlestick representing the difference (divergence) between the two assets’ OHLC (Open, High, Low, Close) values, adjusted to the scale of the second asset. Green candlestick: Asset 1 (adjusted) is outperforming Asset 2 (close > open). Red candlestick: Asset 1 (adjusted) is underperforming Asset 2 (close < open). Correlation Indicator: Calculates and displays the correlation between the two assets (direct or inverse) over a specified period. Green label (e.g., "Direct Correlation: 0.85"): Assets move in the same direction. Red label (e.g., "Inverse Correlation: -0.72"): Assets move in opposite directions. Performance Table: A middle-right table shows the percentage change of each asset over a user-defined period. Green text: Positive performance (gain). Red text: Negative performance (loss). Trading Signals: Plots buy (green triangle) and sell (red triangle) signals based on divergence exceeding a customizable threshold. Inputs and Customization Asset 1 Symbol (default: "NASDAQ:QQQ"): First asset ticker. Asset 2 Symbol (default: "NQ1!"): Second asset ticker. Divergence Threshold % (default: 0.5): Percentage threshold for buy/sell signals. Timeframe for Data (default: "1"): Timeframe for OHLC, correlation, and performance (e.g., "D" for daily, "1H" for hourly). Candle Offset (Bars) (default: 5): Distance from the last bar to start the candlestick. Candle Shift (Bars) (default: 0): Additional shift (positive = right, negative = left). Candle Width (Bars) (default: 3): Width of the candlestick. Show Labels (default: true): Toggle OHLC labels (do, dc, dh, dl) on the candlestick. Correlation Period (default: 14): Bars used to calculate correlation. Performance Period (Bars) (default: 14): Bars used to calculate percentage change in the table. How to Use the Indicator Setup: Add the indicator to your chart in TradingView. Input the two assets you want to compare (e.g., "SPY" and "ES1!"). Select a timeframe (e.g., "D" for daily analysis) that aligns with your trading strategy. Adjust the performance and correlation periods to match your analysis horizon (e.g., 14 for two weeks on daily data). Reading the Candlestick: Observe the candlestick’s position to the right of the chart. It updates only on the last bar of the selected timeframe. A green candlestick suggests Asset 1 is gaining relative to Asset 2, while a red candlestick indicates underperformance. Use the OHLC labels (if enabled) to see exact divergence values. Analyzing Correlation: Check the correlation label near the last bar: Positive value (green): Assets move together—useful for pairs trading or hedging. Negative value (red): Assets move oppositely—ideal for diversification or mean-reversion strategies. The closer the value is to 1 or -1, the stronger the relationship. Performance Comparison: Review the table on the middle-right side of the chart: Compare the percentage gains/losses of Asset 1 and Asset 2 over the performance period. Identify which asset is outperforming and by how much. Trading Signals: Buy Signal (green triangle below bar): Divergence falls below the negative threshold (Asset 1 is significantly undervalued relative to Asset 2). Sell Signal (red triangle above bar): Divergence exceeds the positive threshold (Asset 1 is significantly overvalued relative to Asset 2). Improving Trading Performance Pairs Trading: Use direct correlation (positive value) to identify pairs that move together. When the candlestick shows significant divergence (e.g., red), consider buying the underperformer (Asset 2) and selling the outperformer (Asset 1), expecting reversion to the mean. Example: If "SPY" and "ES1!" diverge, trade the spread to profit from convergence. Divergence Exploitation: Leverage the candlestick and signals to spot overbought/oversold conditions between assets. A large divergence (confirmed by signals) may indicate a reversal opportunity. Adjust the Divergence Threshold % to fine-tune signal sensitivity based on asset volatility. Hedging and Diversification: Use inverse correlation (negative value) to hedge positions. If Asset 1 is your primary holding and shows a red candlestick with Asset 2 (inversely correlated), consider a position in Asset 2 to offset losses. Example: Hedge a tech stock (e.g., "AAPL") with an inversely correlated asset like a bond ETF. Performance-Based Decisions: The table highlights relative strength. Allocate capital to the stronger performer or rebalance if one asset consistently lags. Example: If "QQQ" shows +5% and "NQ1!" shows +2% over 14 days, favor "QQQ" in bullish conditions. Timeframe Flexibility: Match the Timeframe for Data to your trading style (e.g., "15" for 15-minute scalping, "W" for weekly swing trading). This ensures the candlestick, correlation, and table reflect your analysis horizon, not the chart’s timeframe. Tips for Optimization Test Different Pairs: Experiment with correlated (e.g., "SPY" vs. "ES1!") and uncorrelated assets to find profitable setups. Adjust Periods: Shorten the Correlation Period and Performance Period for faster signals or lengthen them for trend confirmation. Combine with Other Indicators: Pair this tool with moving averages or RSI on the primary asset to confirm entry/exit points. Monitor Volatility: For highly volatile pairs, increase the Divergence Threshold % to avoid noise-driven signals. Example Scenario Setup: Asset 1 = "SPY", Asset 2 = "ES1!", Timeframe = "D", Performance Period = 14. Observation: Candlestick is green (SPY outperforming ES1!). Correlation = "Direct Correlation: 0.95" (strong positive relationship). Table: SPY +3.5% (green), ES1! +2.0% (green). Buy signal triggered (divergence < -0.5%). Action: Consider buying ES1! and selling SPY, expecting the divergence to close due to high correlation. Conclusion This indicator empowers traders to visualize and act on the dynamic relationship between two assets. By combining divergence analysis (candlestick), correlation insights, and performance metrics (table), it provides a multi-faceted tool to enhance decision-making, optimize entries/exits, and improve overall trading performance. Whether you’re a day trader, swing trader, or portfolio manager, this indicator adapts to your needs, offering actionable insights into asset pair dynamics.
Penunjuk Pine Script®
oleh viorel8
Trading Value (in Million) by Asharifan v3Trading Value (in Million) by Asharifan This indicator calculates and visualizes the trading value (price × volume) in millions for stocks, providing a clear view of market activity and money flow. It displays the current trading value alongside its 20-day and 50-day simple moving averages (SMAs), all rounded to whole numbers for easy interpretation. Designed for stock market analysis, it works best on daily and weekly timeframes, making it an excellent tool for swing trading and trend analysis. Key Features: Today P*V (M): Plots the daily trading value as columns, with teal bars for bullish days (close > open) and gray bars for bearish days (close < open). 20-day and 50-day Avg P*V (M): Tracks the short-term (20-day) and medium-term (50-day) average trading values in red and blue lines, respectively, to identify trends and shifts in market participation. 20M Threshold: Includes a dashed red line at 20 million, serving as a reference point for significant trading value levels. Last Bar Label: Shows the current trading value as a clean, integer label on the latest bar for quick reference. How to Use: Swing Trading: Identify potential entry and exit points by watching for crossovers or divergences between the 20-day and 50-day averages, especially when trading value spikes above the 20M threshold. Trend Analysis: Monitor the direction and slope of the 20-day and 50-day averages to confirm bullish or bearish trends in stock momentum and volume. Smart Money Footprints: High trading value spikes, especially when sustained above the 20M line, can signal institutional or "smart money" activity, helping traders track significant market moves. This indicator is particularly valuable for stock traders looking to gauge market strength, spot accumulation or distribution phases, and align their strategies with broader market trends. Best suited for daily and weekly charts, it’s a powerful addition to any swing trader’s or trend follower’s toolkit, offering clear insights into the footprints of smart money in the stock market.
Penunjuk Pine Script®
oleh asharifan
Chau RSI+MA for DHChau RSI+MA for DH – Indicator Description & Usage Overview: The Chau RSI+MA for DH indicator is a custom RSI-based analysis tool designed to provide a deeper and more dynamic view of market momentum. It plots three configurable RSI lines along with three moving averages (MA) of the main RSI, helping traders identify overbought/oversold zones, trend strength, and potential reversal points. 🔧 Inputs & Configuration: Three RSI Lines: RSI 1 (default: 7) RSI 2 (default: 14) → used as the base for MA calculations RSI 3 (default: 21) These allow multi-timeframe or multi-speed momentum analysis in a single panel. Three MAs of RSI 2: MA 1, MA 2, MA 3 – customizable lengths, defaulting to 5, 10, and 20 These help smooth out RSI 2 to detect trend direction or divergence. Overbought/Oversold Levels: Customizable dual thresholds (Level 1 & Level 2), offering flexible signal filtering. 🎯 Core Features & Strengths: Multi-RSI Display: Combines short, mid, and long RSI to give a layered view of market strength and potential turning points. RSI MA Tracking: Smoothing RSI 2 with three MAs helps visualize momentum trends and potential trend-following signals. Dynamic Signal Zones: Overbought and Oversold regions are highlighted with background colors. Dual level alert system (e.g., 70/80 and 30/20) increases precision and adaptability for different strategies. Highly Customizable Visualization: Fully adjustable color schemes for all RSI and MA lines. Easily identify confluences or divergences at a glance. ✅ Best Use Cases: Trend Confirmation: Use RSI 2 crossing above/below its MAs as a momentum confirmation signal. Reversal Detection: Identify overbought or oversold conditions combined with RSI-MA divergence. Filtering Entries/Exits: Combine with price action or other indicators to filter out low-probability trades. Scalping & Swing Trading: Adaptable to multiple timeframes and styles due to customizable RSI/MA settings.
Penunjuk Pine Script®
oleh minhchauft1311
Moving Average Dynamic BundleThis script demonstrates a 6-MA system using Pine Script v6. It provides: 1) Choice of SMA, EMA, or TEMA for each of 6 MAs. 2) Individual length setting for each MA. 3) A single, common source input for all MAs. 4) A slope-based color highlight (Bullish/Bearish/Neutral). 5) Dynamic timeframe support via built-in security() and timeframe inputs. 6) Non-repainting approach (lookahead=barmerge.lookahead_off). 7) Customizable color inputs.
Penunjuk Pine Script®
oleh Chrism2Profit
Scalping 15min: EMA + MACD + RSI + ATR-based SL/TPThis is a multi-indicator scalping strategy optimized for 15-minute charts that combines trend, momentum, and volatility indicators for high-probability trades with automated risk management. Core Trading Logic The strategy identifies market opportunities using three powerful technical indicators: EMA (50): Acts as a trend filter to determine overall market direction MACD (12, 26, 9): Measures momentum and confirms trend direction RSI (14): Identifies potential reversal zones and avoids overbought/oversold traps Entry Conditions Long (Buy) Signal: Price above EMA + positive MACD histogram + RSI between 50-70 Short (Sell) Signal: Price below EMA + negative MACD histogram + RSI between 30-50 Dynamic Risk Management What sets this strategy apart is its adaptive risk management using ATR (Average True Range): Stop Loss: Automatically calculated at 1x ATR from entry price Take Profit: Set at 2x ATR, creating a consistent 1:2 risk-to-reward ratio Position Sizing: Defaults to 10% of equity per trade for conservative account growth
Strategi Pine Script®
oleh Anonx01
ATR Delta Slippage EstimatorIndicator Description: ATR Delta Slippage Estimator Overview The "ATR Delta Slippage Estimator" is a practical Pine Script v5 indicator designed for traders who want to dynamically estimate and adjust their stop-loss levels by factoring in potential slippage based on market volatility. Built as an overlay indicator, it uses the Average True Range (ATR) and its rate of change (ATR Delta) to calculate slippage in ticks, adding it to a user-defined base stop-loss. The results are displayed in a concise table on the chart, making it easy to assess risk in real-time. This tool is particularly valuable for traders in fast-moving markets or those trading instruments with variable liquidity. Key Features Volatility-Based Slippage Calculation: Uses ATR Delta (change in ATR from the previous bar) to estimate slippage as volatility shifts. Converts slippage into ticks based on the instrument’s tick size for precision. Customizable Stop-Loss: Starts with a user-defined base stop-loss (in ticks). Adds estimated slippage to provide a total stop-loss that adapts to market conditions. Visual Table Display: A top-right table shows: Base Stop-Loss (static input). Estimated Slippage (dynamic, volatility-driven). Total Stop-Loss (sum of base and slippage). Overlay Integration: Runs directly on the price chart, keeping your workspace uncluttered while providing actionable data. Inputs and Customization ATR Length (default: 14): Number of bars used to calculate the ATR, affecting volatility sensitivity. Base Stop-Loss (Ticks) (default: 100): Fixed stop-loss level in ticks before slippage adjustment. Slippage Multiplier (default: 2.0): Scales the ATR Delta to estimate slippage (higher values increase slippage impact). How to Use the Indicator Setup: Add the indicator to your TradingView chart. Adjust the ATR Length to match your trading horizon (e.g., 14 for daily, 5 for intraday). Set the Base Stop-Loss (Ticks) to your preferred initial risk level (e.g., 50 ticks for a tight stop). Tune the Slippage Multiplier based on your instrument’s typical slippage (e.g., 1.5 for low-volatility stocks, 3.0 for futures). Reading the Table: The table updates on the last bar and includes: Base Stop-Loss: Your static input (white text). Estimated Slippage: Volatility-driven addition in ticks (yellow text). Total Stop-Loss: Combined value (orange text). Example: If Base = 100 ticks, Slippage = 20 ticks, Total = 120 ticks. Applying to Trades: Use the Total Stop-Loss as your adjusted stop-loss level when placing orders. In high-volatility scenarios (larger Estimated Slippage), widen your stop to avoid premature exits due to slippage. Improving Trading Performance Risk Management: The indicator prevents underestimating slippage, a common pitfall in volatile markets. By adding a dynamic buffer to your stop-loss, you reduce the risk of being stopped out prematurely. Example: In a breakout trade on "ES1!", a sudden ATR Delta spike increases slippage from 5 to 15 ticks, adjusting your stop from 100 to 115 ticks for better protection. Volatility Adaptation: Adjust your position sizing based on the Total Stop-Loss. If slippage doubles your expected risk (e.g., 100 to 200 ticks), reduce your position size to maintain your risk percentage. Example: With a $500 risk limit and a 200-tick stop, trade 2.5 contracts instead of 5. Entry Timing: Monitor the Estimated Slippage for low-volatility periods (smaller values) to enter trades with tighter stops, maximizing reward-to-risk ratios. Example: If slippage drops to 5 ticks on "AAPL", enter with a 105-tick stop instead of 120 ticks during a spike. Instrument Selection: Use the indicator across multiple assets to identify those with lower slippage in current conditions. Favor instruments with smaller Estimated Slippage for cost efficiency. Example: Compare "SPY" (10 ticks slippage) vs. "QQQ" (25 ticks slippage) and trade the former. Backtesting and Optimization: Test different ATR Length and Slippage Multiplier settings on historical data to find the sweet spot for your market. A shorter ATR (e.g., 5) reacts faster to intraday swings, while a higher multiplier (e.g., 3.0) prepares for illiquid conditions. Tips for Optimization Match ATR Length to Strategy: Use a shorter ATR (e.g., 5-10) for scalping, longer (e.g., 20-50) for swing trading. Calibrate Slippage Multiplier: Increase it for thin markets (e.g., pre-market futures) or decrease it for high-liquidity stocks. Combine with Volatility Filters: Pair with Bollinger Bands or VIX to confirm when slippage estimates align with broader market conditions. Monitor Tick Size: For instruments with larger tick sizes (e.g., futures vs. stocks), expect smaller tick-based slippage values—adjust the multiplier accordingly. Example Scenario Setup: Trading "ES1!" (S&P 500 futures), ATR Length = 14, Base Stop-Loss = 50 ticks, Slippage Multiplier = 2.0. Observation: ATR Delta increases due to a news event, yielding Estimated Slippage = 10 ticks. Table: Base = 50 ticks (white), Slippage = 10 ticks (yellow), Total = 60 ticks (orange). Action: Set your stop-loss at 60 ticks instead of 50, ensuring you account for the volatility spike and avoid slippage-related losses. Conclusion The "ATR Delta Slippage Estimator" is a must-have tool for traders aiming to refine their risk management and adapt to changing market conditions. By integrating volatility-driven slippage into your stop-loss strategy, it helps you avoid unexpected exits, optimize position sizing, and improve trade execution. Whether you’re scalping futures, day trading stocks, or managing a portfolio, this indicator provides a clear, actionable way to stay ahead of slippage risks and enhance your trading performance.
Penunjuk Pine Script®
oleh viorel8
Chrism - Moving Average Dynamic BundleThis script demonstrates a 6-MA system using Pine Script v6. It provides: 1) Choice of SMA, EMA, or TEMA for each of 6 MAs. 2) Individual length setting for each MA. 3) A single, common source input for all MAs. 4) A slope-based color highlight (Bullish/Bearish/Neutral). 5) Dynamic timeframe support via built-in security() and timeframe inputs. 6) Non-repainting approach (lookahead=barmerge.lookahead_off). 7) Customizable color inputs.
Penunjuk Pine Script®
oleh Chrism2Profit
Liquidity Compression Coil (6 Lines, 8‑Bar Breakout)TL;DR: 🔍 Pivot Detection: Scans for swing highs and lows (using a customizable lookback) to mark key support/resistance levels. 🧱 Zone Calculations: Anchor Range (🧱): Base zone (gray) defined by historical pivots, with its label always at the top. Projection Bracket (🎯): Active zone (black) that forecasts immediate breakout areas, with its label centered. Volatility Span (🌪️): Overall range (purple) that captures the market's full movement, with its label fixed at the bottom. 📊 Dynamic Tracker: Displays the current price as a percentage of the projection bracket—mimicking Fibonacci extensions (e.g., 120%, 200%, or -20% when breaking below). ⚠️ Alerts: Breakout (above 100%) and breakdown (below 0%) alerts pop up dynamically, following the position metric so they never overlap. 🐂/🐻 Sentiment Tags: Adds bullish (🐂) or bearish (🐻) emojis based on price position relative to the projection bracket. 🔄 Composite Bars & Volume: Visually stacks the three zones in a fixed order (purple behind, gray in the middle, black on top) and optionally accumulates volume for enhanced context. This indicator provides a human-friendly, emoji-enhanced snapshot of liquidity compression and potential breakout moves with nuanced visual layers and dynamic alerts.
Penunjuk Pine Script®
oleh Kyle_Booth
1