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Wallet Follower - [Silver-Wong]Track your active positions directly on your chart with a simple, clear display. Key Features: - Displays a summary table of up to 5 custom positions. - Real-time calculation of P/L (%) and net gain/loss based on your entry price and quantity. - Automatically updates with live prices. - Works with any symbol: crypto, stocks, forex... - Customizable display: text size and screen position. Why use it? Save time and keep a precise overview of your portfolio without leaving your chart. Ideal for both active traders and long-term holders.
Indicatore Pine Script®
di Silver-Wong
ADR TableTrack volatility and session momentum in real-time with customizable precision. Key Features: Average Daily Range (ADR): Configurable length (default 5 days), based on previous daily high–low ranges. Session Anchor Options: Choose anchor at 4 am NY, 6 pm NY, 9:30 am NY, 8:30 am NY, Previous Day Close, or Current Bar. Session Range & %ADR: Displays the real-time range from the chosen anchor, plus what percentage of ADR has been covered. High / Low Target Levels: Calculates ADR targets based on anchor: anchor ± ADR. Optional Target Lines: Draw horizontal lines for high and low targets across the session; customize color and width. Dynamic Table Display: User-selectable table size and text size (Tiny to Huge) for optimal readability. Robust Anchor Logic: Uses the first bar at-or-after anchor time each NY day, ensuring stability even on irregular intraday timeframes. How to Use Choose your anchor in settings. View ADR, session range (with %ADR), and target price levels in the top-right pane.Toggle High/Low lines to overlay targets on the chart. Adjust table and text size to match your workspace. Why It Matters Quickly assess where price stands relative to typical volatility. Easily identify intraday price exhaustion or breakout zones. Anchor flexibility enables use for both futures and equities, aligning with your trading session. Clean, professional display—no clutter, no guesswork.
Indicatore Pine Script®
di OliverC-H
Daily Price LevelsTrack daily price action like a pro with instant visibility of key levels, percentages, and P&L values - all in one clean view." Bullet points: • Shows Daily Open, High, Low & Median levels • Dynamic color-coding: green above open, red below • Real-time price labels with: Exact price levels % distance between levels Point values Dollar values per contract • Auto-repaints on timeframe changes • 30min alerts for median crosses
Indicatore Pine Script®
di kevtrinh
MSB BOS Market Structure [FTB]Track Market Structure Breaks (MSB) and Breaks of Structure (BOS) on your charts. This indicator does exactly that without clutter and with easy-to-spot. 🔑 Features: MSB (Market Structure Break): Shows when price flips and breaks the previous high/low — possible start of a new trend. BOS (Break of Structure): Highlights key structural breakouts in line with the existing trend. ✅ Pivot-Based Analysis (Body Focused) Uses candle body-based pivot highs and lows to find clean market structure points (no wicks confusion here!). Adjustable pivot strength — control how many candles you want on either side to define a swing. ✅ Clean Visual Markings MSB and BOS lines with optional labels so you see exactly where breaks happen. Customizable line style (Solid, Dashed, Dotted) to match your chart aesthetic. Optional pivot markers to show minor swing highs/lows. ✅ Alerts Ready Set alerts for any MSB or BOS, or filter to specific bullish/bearish breaks — never miss a key level again 💡 How to Use This Indicator: Identify Trend Shifts: Use MSB to spot early trend reversals — when a previous structure breaks against the trend. Catch Continuations: Watch for BOS to confirm trend continuation — great for riding the trend! ⚙️ Settings You Can Adjust: Pivot Strength: How many candles to look back and forward for swing points (default: 3). Show Pivots: Optional — highlight swing highs and lows for extra clarity.
Indicatore Pine Script®
di FunkyTown_Bytes
Altcoin PortfolioTrack your altcoin portfolio balance in Fiat currency. Make sure to open the data window to the right of your charts, it makes everything alot easier to read at a glance. To learn more about customizing this script to fit your portfolio, watch the video here: youtu.be To get more cool scripts and up-to-date information about Autoview, join us in slack slack.with.pink As per the usual, we hope this script helps with your trading venture. Good luck, and happy trading.
Indicatore Pine Script®
di CryptoRox
Josh SMC Key Features of Josh SMC ✅ Automatically detects Order Blocks (OB) — both Bullish and Bearish ✅ Accurately identifies Fair Value Gaps (FVG) and tracks whether they are “filled” or not ✅ Detects Change of Character (CHOCH) to signal potential trend reversals ✅ Analyzes price structure in real-time based on Smart Money Concepts ✅ Beginner-friendly, yet powerful for advanced traders ✅ Customizable zone colors and number of OB/FVG displays ✅ Works on all timeframes from 1-minute and up 📌 What You’ll Gain from Using Josh SMC 🔺 Spot potential reversal zones before the crowd 🔻 Avoid chasing fake trends and getting trapped 🎯 Plan your entries and exits with OB and FVG precision 🚫 Eliminate guesswork from your analysis 🚀 Trade with confidence and structure — like smart money does 🔍 Who Is This For? Traders who follow Smart Money Concepts (SMC), ICT, or Price Action Anyone seeking high-quality entry/exit zones Traders who want to understand how institutions move the market
Indicatore Pine Script®
di joshzup654
Josh SMC Key Features of Josh SMC ✅ Automatically detects Order Blocks (OB) — both Bullish and Bearish ✅ Accurately identifies Fair Value Gaps (FVG) and tracks whether they are “filled” or not ✅ Detects Change of Character (CHOCH) to signal potential trend reversals ✅ Analyzes price structure in real-time based on Smart Money Concepts ✅ Beginner-friendly, yet powerful for advanced traders ✅ Customizable zone colors and number of OB/FVG displays ✅ Works on all timeframes from 1-minute and up 📌 What You’ll Gain from Using Josh SMC 🔺 Spot potential reversal zones before the crowd 🔻 Avoid chasing fake trends and getting trapped 🎯 Plan your entries and exits with OB and FVG precision 🚫 Eliminate guesswork from your analysis 🚀 Trade with confidence and structure — like smart money does 🔍 Who Is This For? Traders who follow Smart Money Concepts (SMC), ICT, or Price Action Anyone seeking high-quality entry/exit zones Traders who want to understand how institutions move the market Josh SMC – Smart Money Concepts Indicator 🔍 เข้าใจเจตนารมณ์ของรายใหญ่ มองเห็นตลาดอย่างมืออาชีพ 🔧 จุดเด่นของอินดี้ Josh SMC ✅ ตรวจจับ Order Block (OB) ทั้งฝั่ง Bullish และ Bearish โดยอัตโนมัติ ✅ แสดง Fair Value Gap (FVG) อย่างแม่นยำ พร้อมระบบตรวจจับว่า FVG ถูก “เติมเต็ม” แล้วหรือยัง ✅ ตรวจจับ Change of Character (CHOCH) เพื่อหาสัญญาณกลับตัวในเทรนด์ ✅ ใช้การวิเคราะห์โครงสร้างราคาตามหลัก Smart Money Concept แบบ Real-Time ✅ ใช้งานง่าย เหมาะทั้งเทรดเดอร์มือใหม่และมืออาชีพ ✅ ปรับแต่งสีและจำนวนโซนที่ต้องการแสดงได้อย่างยืดหยุ่น ✅ รองรับ Timeframe ตั้งแต่ 1 นาทีขึ้นไป 📌 สิ่งที่คุณจะได้เมื่อใช้ Josh SMC 🔺 มองเห็นจุดกลับตัวของราคาได้ก่อนใคร 🔻 หลีกเลี่ยงการติดดอยจากเทรนด์หลอก 🎯 วางแผนการเข้าออกออเดอร์อย่างแม่นยำตาม OB และ FVG 🚫 ลดความผิดพลาดจากการวิเคราะห์แบบเดาสุ่ม 🚀 เทรดด้วยความมั่นใจและมีระบบ เหมือนรายใหญ่ในตลาด 🔍 เหมาะสำหรับใคร? เทรดเดอร์สาย Smart Money Concepts (SMC), ICT, Price Action เทรดเดอร์ที่ต้องการกรอง "จุดเข้า-ออก" คุณภาพสูง ผู้ที่ต้องการระบบช่วยมองภาพ "พฤติกรรมของรายใหญ่"
Indicatore Pine Script®
di joshzup654
Enigma UnlockedENIGMA Indicator: A Comprehensive Market Bias & Success Tracker The ENIGMA Indicator is a powerful tool designed for traders who aim to identify market bias, track price movements, and evaluate trade performance using multiple timeframes. It combines multiple indicators and advanced logic to provide real-time insights into market trends, helping traders make more informed decisions. Key Features 1. Multi-Timeframe Bias Calculation: The ENIGMA Indicator tracks the market bias across multiple timeframes—Daily (D), 4-Hour (H4), 1-Hour (H1), 30-Minute (30M), 15-Minute (15M), 5-Minute (5M), and 1-Minute (1M). How the Bias is Created: The Bias is a key feature of the ENIGMA Indicator and is determined by comparing the current price with previous price levels for each timeframe. - Bullish Bias (1): The market is considered **bullish** if the **current closing price** is higher than the **previous timeframe’s high**. This suggests that the market is trending upwards, and buyers are in control. - Bearish Bias (-1): The market is considered **bearish** if the **current closing price** is lower than the **previous timeframe’s low**. This suggests that the market is trending downwards, and sellers are in control. - Neutral Bias (0): The market is considered **neutral** if the price is between the **previous high** and **previous low**, indicating indecision or a range-bound market. This bias calculation is performed independently for each timeframe. The **Bias** for each timeframe is then displayed in the **Bias Table** on your chart, providing a clear view of market direction across multiple timeframes. 2. **Customizable Table Display:** - The indicator provides a table that displays the bias for each selected timeframe, clearly marking whether the market is **Bullish**, **Bearish**, or **Neutral**. - Users can choose where to place the table on the chart: top-left, top-right, bottom-left, bottom-right, or center positions, allowing for easy and personalized chart management. 3. **Win/Loss Tracker:** - The table also tracks the **success rate** of **buy** and **sell** trades based on price retests of key bias levels. - For each period (Day, Week, Month), it tracks how often the price has moved in the direction of the initial bias, counting **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses**. - This helps traders assess the effectiveness of the market bias over time and adjust their strategies accordingly. #### **How the Success Calculation Determines the Success Rate:** The **Success Calculation** is designed to track how often the price follows the direction of the market bias. It does this by evaluating how the price retests key levels associated with the identified market bias: 1. **Buy Success Calculation**: - The success of a **Buy Trade** is determined when the price breaks above the **previous high** after a **bullish bias** has been identified. - If the price continues to move higher (i.e., makes a new high) after breaking the previous high, the **buy trade is considered successful**. - The indicator tracks how many times this condition is met and counts it as a **Buy Win**. 2. **Sell Success Calculation**: - The success of a **Sell Trade** is determined when the price breaks below the **previous low** after a **bearish bias** has been identified. - If the price continues to move lower (i.e., makes a new low) after breaking the previous low, the **sell trade is considered successful**. - The indicator tracks how many times this condition is met and counts it as a **Sell Win**. 3. **Failure Calculations**: - If the price does not move as expected (i.e., it does not continue in the direction of the identified bias), the trade is considered a **loss** and is tracked as **Buy Loss** or **Sell Loss**, depending on whether it was a bullish or bearish trade. The ENIGMA Indicator keeps a running tally of **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses** over a set period (which can be customized to Days, Weeks, or Months). These statistics are updated dynamically in the **Bias Table**, allowing you to track your success rate in real-time and gain insights into the effectiveness of the market bias. #### **Customizable Period Tracking:** - The ENIGMA Indicator allows you to set custom tracking periods (e.g., 30 days, 2 weeks, etc.). The performance metrics reset after each tracking period, helping you monitor your success in different market conditions. 5. **Interactive Settings:** - **Lookback Period**: Define how many bars the indicator should consider for bias calculations. - **Success Tracking**: Set the number of candles to track for calculating the win/loss performance. - **Time Threshold**: Set a time threshold to help define the period during which price retests are considered valid. - **Info Tooltip**: You can enable the information tool in the settings to view detailed explanations of how wins and losses are calculated, ensuring you understand how the indicator works and how the results are derived. #### **How to Use the ENIGMA Indicator:** 1. **Install the Indicator**: - Add the ENIGMA Indicator to your chart. It will automatically calculate and display the bias for multiple timeframes. 2. **Interpret the Bias Table**: - The bias table will show whether the market is **Bullish**, **Bearish**, or **Neutral** across different timeframes. - Look for alignment between the timeframes—when multiple timeframes show the same bias, it may indicate a stronger trend. 3. **Use the Win/Loss Tracker**: - Track how well your trades align with the bias using the **Win/Loss Tracker**. This helps you refine your strategy by understanding which timeframes and biases lead to higher success rates. - For example, if you see a high number of **Buy Wins** and a low number of **Sell Wins**, you may decide to focus more on buying during bullish trends and avoid selling during bearish retracements. 4. **Track Your Period Performance**: - The indicator will automatically track your performance over the set period (Days, Weeks, Months). Use this data to adjust your approach and evaluate the effectiveness of your trading strategy. 5. **Position the Table**: - Customize the placement of the table on your chart based on your preferences. You can choose from options like **Top Left**, **Top Right**, **Bottom Left**, **Bottom Right**, or **Center** to keep the chart uncluttered. 6. **Adjust Settings**: - Modify the indicator settings according to your trading style. You can adjust the **Lookback Period**, **Number of Candles to Track**, and **Time Threshold** to match the pace of your trading. 7. **Use the Info Tooltip**: - Enable the **Info Tool** in the settings to understand how the Buy/Sell Wins and Losses are calculated. The tooltip provides a breakdown of how the indicator tracks price movements and calculates the success rate. **Conclusion:** The **ENIGMA Indicator** is designed to help traders make informed decisions by providing a clear view of the market bias and performance data. With the ability to track bias across multiple timeframes and evaluate your trading success, it can be a powerful tool for refining your trading strategies. Whether you're looking to focus on a single timeframe or analyze multiple timeframes for a stronger bias, the ENIGMA Indicator adapts to your needs, providing both real-time market insights and performance feedback.
Indicatore Pine Script®
di Niko-picasso369
2
TradeChartist Spotter ™TradeChartist Spotter is a extremely well designed Trader's toolkit that packs a range of trading indicators like MACD, RSI, MA/MA-Crosses and Price-Volume Trend Oscillator, along with visual trade spotting tools like Symbol Tracker, MACD Trend Shadow plot and Coloured Bars, including a handy information Dashboard. =================================================================================================================== ™TradeChartist Spotter Features: 1. MACD MACD is an essential indicator for any trader to track trend strength and momentum of asset prices. Spotter offers 3 MACD options - SMA, EMA and Zero-Lag EMA . Since MACD is based on moving averages, it is inherently a lagging indicator and may not work well when there is no trend strength or when the market is choppy. It is for this reason Spotter offers the option of Overall Trend Shadow and also the option to display Zero-Lag Trend Shadow on normal MACD based on SMA or EMA. This is based on the average of MACD and Signal plots. Spotter's default MACD settings are 13/34/13, but this can be changed to the classic settings of 12/26/9 and the user can enable or disable the various elements of the MACD based on their preference. The Dashboard on the MACD Spotter offers information on the symbol tracked, settings used and also the close price of the asset. This is really useful especially when tracking a different symbol than the current price chart symbol. Note that the actual MACD plot also will be of the symbol tracked if it is not the same as price chart symbol. Using Zero-Lag Trend Shadow on normal SMA/EMA MACD histogram helps spot trend changes early. It is recommended to test different MACD settings on asset traded to suit trading style and frequency. If MACD Histogram is disabled to see the Overall Trend better, make sure to switch back on as it should not be confused with the main MACD histogram which tracks the distance between the MACD and Signal plots. 2. RSI RSI is the classic technical indicator that helps track the price magnitude and velocity of the asset's price movement. It helps spot Oversold and Overbought areas easily as it oscillates between 0 and 100, even though values below 10 and values above 90 are almost never seen. By using a upper band and a lower band plot, it is possible to track the strength of the up or down move. Spotter's default RSI settings are ohlc4/14/5. EMA smoothing of 5 is used to eliminate the noise, but these can be changed to suit user's preference. The default Upper Band is 60 and Lower Band is 40 in the settings, as price moves above 60 RSI tend to be bullish and price moves below 40 tend to be bearish. This can be changed to 70/30 or 80/20 etc. based on how RSI is being used by the user. RSI strength can also be visualised on the price bars using Spotter's Coloured Bars. The bar colours can be inverted to help traders see the price action differently. RSI Dashboard also helps track another symbol, it's RSI value and close price to help the user track another symbol on the same chart. Note that the actual RSI plot also will be of the symbol tracked if it is not the same as price chart symbol. 3. MA/MA-Crosses Two Moving averages (SMA, EMA or Zero-Lag EMA) can be plotted with MA Crosses using the MA/MA-Crosses Spotter. The MACD input of Fast MA Length and Slow MA Length is used to plot the MA's. To plot just one MA, same value can be entered in both MA length boxes in the settings. The plots can be merged with the main price chart by using Move Pane Above and by merging the scales into one. The Dashboard also helps track another symbol, it's MA plots and close price to help the user track another symbol on the same chart. Note that the actual MA plots also will be of the symbol tracked if it is not the same as price chart symbol. 4. Price-Volume Trend Oscillator Spotter converts the Price Volume Trend (PVT) into an Oscillator, as it helps spot divergences and makes it easy to plot PVT strength as coloured bars on main price chart. No user input required for this Oscillator plot. Note: Some Symbols don't have volume information and hence PVT Oscillator will not work on them. PVT Oscillator Dashboard displays current bar volume (if available) along with the close price. Similar to other plots in the Spotter, the Oscillator is of the symbol tracked if its not the same as price chart symbol. 5. Useful Extras Coloured Bars - Paints price bars with strength and intensity based on indicator used. Bar Colours can be inverted by enabling Invert Bar Colors option from Spotter settings. Five Colour Themes - Classic, Acute Classic, Effulgence, Firefly and Hallucination Background colour - Same as bar colour strength, but painted subtly in the indicator background. =================================================================================================================== Note: Alerts can be created using the name of the plot under Alert Condition for Spotter - ™TradeChartist crossing above/below etc based on the type of alert the user wants to get. The indicator does not repaint. Alerts may display potential repaint warning, but this is because the code uses bar index for the Dashboard. For confidence in the indicator, it can be tested using bar replay to make sure the real-time and bar replay trade entries and plots stay on the same bar/timestamp. ™TradeChartist Spotter can be connected to ™TradeChartist Plug and Trade (Premium Script - not free) to generate Trade Entries, Targets, Sop Loss plots etc and to create all types of alerts. Example chart below using LINK-USDT. =================================================================================================================== Example Charts 1. BTC-USDT 1 hr chart showing MACD with classic settings 12/26/9 on top pane with normal Overall Trend Shadow and the bottom pane with exact same settings with Zero-Lag Overall Trend Shadow. 2. XAU-USD 4 hr chart showing MACD (13/55/34) using Zero-Lag EMA. 3.ADA-USDT 1 hr chart with Price-Volume Trend Oscillator - Useful for confirming divergences and trade decisions based on volume. 4. SPX 15m chart with RSI (ohlc4,14,5) in bottom pane and 5/34 MA cross Spotter on Price Chart with Dashboard. 5. GBP-USD 1 hr chart with Spotter tracking MACD (13/89/34) of DXY (Different Symbol from GBP-USD on chart) =================================================================================================================== Best Practice: Test with different settings first using Paper Trades before trading with real money This is a free to use indicator. ===================================================================================================================
Indicatore Pine Script®
di TradeChartist
28
Quantum Reversal Engine [ApexLegion]Quantum Reversal Engine STRATEGY OVERVIEW This strategy is constructed using 5 custom analytical filters that analyze different market dimensions - trend structure, momentum expansion, volume confirmation, price action patterns, and reversal detection - with results processed through a multi-component scoring calculation that determines signal generation and position management decisions. Why These Custom Filters Were Independently Developed: This strategy employs five custom-developed analytical filters: 1. Apex Momentum Core (AMC) - Custom oscillator with volatility-scaled deviation calculation Standard oscillators lag momentum shifts by 2-3 bars. Custom calculation designed for momentum analysis 2. Apex Wick Trap (AWT) - Wick dominance analysis for trap detection Existing wick analysis tools don't quantify trap conditions. Uses specific ratios for wick dominance detection 3. Apex Volume Pulse (AVP) - Volume surge validation with participation confirmation Volume indicators typically use simple averages. Uses surge multipliers with participation validation 4. Apex TrendGuard (ATG) - Angle-based trend detection with volatility band integration EMA slope calculations often produce false signals. Uses angle analysis with volatility bands for confirmation 5. Quantum Composite Filter (QCF) - Multi-component scoring and signal generation system Composite scoring designed to filter noise by requiring multiple confirmations before signal activation. Each filter represents mathematical calculations designed to address specific analytical requirements. Framework Operation: The strategy functions as a scoring framework where each filter contributes weighted points based on market conditions. Entry signals are generated when minimum threshold scores are met. Exit management operates through a three-tier system with continued signal strength evaluation determining position holds versus closures at each TP level. Integration Challenge: The core difficulty was creating a scoring system where five independent filters could work together without generating conflicting signals. This required backtesting to determine effective weight distributions. Custom Filter Development: Each of the five filters represents analytical approaches developed through testing and validation: Integration Validation: Each filter underwent individual testing before integration. The composite scoring system required validation to verify that filters complement rather than conflict with each other, resulting in a cohesive analytical framework that was tested during the development period. These filters represent custom-developed components created specifically for this strategy, with each component addressing different analytical requirements through testing and parameter adjustment. Programming Features: Multi-timeframe data handling with backup systems Performance optimization techniques Error handling for live trading scenarios Parameter adaptation based on market conditions Strategy Features: Uses multi-filter confirmation approach Adapts position holding based on continued signal strength Includes analysis tools for trade review and optimization Ongoing Development: The strategy was developed through testing and validation processes during the creation period. COMPONENT EXPLANATION EMA System Uses 8 exponential moving averages (7, 14, 21, 30, 50, 90, 120, 200 periods) for trend identification. Primary signals come from 8/21 EMA crossovers, while longer EMAs provide structural context. EMA 1-4 determine short-term structure, EMA 5-8 provide long-term trend confirmation. Apex Momentum Core (AMC) Built custom oscillator mathematics after testing dozens of momentum calculation methods. Final algorithm uses price deviation from EMA baseline with volatility scaling to reduce lag while maintaining accuracy across different market conditions. Custom momentum oscillator using price deviation from EMA baseline: apxCI = 100 * (source - emaBase) / (sensitivity * sqrt(deviation + 1)) fastLine = EMA(apxCI, smoothing) signalLine = SMA(fastLine, 4) Signals generate when fastLine crosses signalLine at +50/-50 thresholds. This identifies momentum expansion before traditional oscillators. Apex Volume Pulse (AVP) Created volume surge analysis that goes beyond simple averages. Extensive testing determined 1.3x multiplier with participation validation provides reliable confirmation while filtering false volume spikes. Compares current volume to 21-period moving average. Requires 1.3x average volume for signal confirmation. This filters out low-volume moves during quiet periods and confirms breakouts with actual participation. Apex Wick Trap (AWT) Developed proprietary wick trap detection through analysis of failed breakout patterns. Tested various ratio combinations before settling on 60% wick dominance + 20% body limit as effective trap identification parameters. Analyzes candle structure to identify failed breakouts: candleRange = math.max(high - low, 0.00001) candleBody = math.abs(close - open) bodyRatio = candleBody / candleRange upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low upperWickRatio = upperWick / candleRange lowerWickRatio = lowerWick / candleRange trapWickLong = showAWT and lowerWickRatio > minWickDom and bodyRatio < bodyToRangeLimit and close > open trapWickShort = showAWT and upperWickRatio > minWickDom and bodyRatio < bodyToRangeLimit and close < open This catches reversals after fake breakouts. Apex TrendGuard (ATG) Built angle-based trend detection after standard EMA crossovers proved insufficient. Combined slope analysis with volatility bands through iterative testing to eliminate false trend signals. EMA slope analysis with volatility bands: Fast EMA (21) vs Slow EMA (55) for trend direction Angle calculation: atan(fast - slow) * 180 / π ATR bands (1.75x multiplier) for breakout confirmation Minimum 25° angle for strong trend classification Core Algorithm Framework 1. Composite Signal Generation calculateCompositeSignals() => // Component Conditions structSignalLong = trapWickLong structSignalShort = trapWickShort momentumLong = amcBuySignal momentumShort = amcSellSignal volumeSpike = volume > volAvg_AVP * volMult_AVP priceStrength_Long = close > open and close > close priceStrength_Short = close < open and close < close rsiMfiComboValue = (ta.rsi(close, 14) + ta.mfi(close, 14)) / 2 reversalTrigger_Long = ta.crossover(rsiMfiComboValue, 50) reversalTrigger_Short = ta.crossunder(rsiMfiComboValue, 50) isEMACrossUp = ta.crossover(emaFast_ATG, emaSlow_ATG) isEMACrossDown = ta.crossunder(emaFast_ATG, emaSlow_ATG) // Enhanced Composite Score Calculation scoreBuy = 0.0 scoreBuy += structSignalLong ? scoreStruct : 0.0 scoreBuy += momentumLong ? scoreMomentum : 0.0 scoreBuy += flashSignal ? weightFlash : 0.0 scoreBuy += blinkSignal ? weightBlink : 0.0 scoreBuy += volumeSpike_AVP ? scoreVolume : 0.0 scoreBuy += priceStrength_Long ? scorePriceAction : 0.0 scoreBuy += reversalTrigger_Long ? scoreReversal : 0.0 scoreBuy += emaAlignment_Bull ? weightTrendAlign : 0.0 scoreBuy += strongUpTrend ? weightTrendAlign : 0.0 scoreBuy += highRisk_Long ? -1.2 : 0.0 scoreBuy += signalGreenDot ? 1.0 : 0.0 scoreBuy += isAMCUp ? 0.8 : 0.0 scoreBuy += isVssBuy ? 1.5 : 0.0 scoreBuy += isEMACrossUp ? 1.0 : 0.0 scoreBuy += signalRedX ? -1.0 : 0.0 scoreSell = 0.0 scoreSell += structSignalShort ? scoreStruct : 0.0 scoreSell += momentumShort ? scoreMomentum : 0.0 scoreSell += flashSignal ? weightFlash : 0.0 scoreSell += blinkSignal ? weightBlink : 0.0 scoreSell += volumeSpike_AVP ? scoreVolume : 0.0 scoreSell += priceStrength_Short ? scorePriceAction : 0.0 scoreSell += reversalTrigger_Short ? scoreReversal : 0.0 scoreSell += emaAlignment_Bear ? weightTrendAlign : 0.0 scoreSell += strongDownTrend ? weightTrendAlign : 0.0 scoreSell += highRisk_Short ? -1.2 : 0.0 scoreSell += signalRedX ? 1.0 : 0.0 scoreSell += isAMCDown ? 0.8 : 0.0 scoreSell += isVssSell ? 1.5 : 0.0 scoreSell += isEMACrossDown ? 1.0 : 0.0 scoreSell += signalGreenDot ? -1.0 : 0.0 compositeBuySignal = enableComposite and scoreBuy >= thresholdCompositeBuy compositeSellSignal = enableComposite and scoreSell >= thresholdCompositeSell if compositeBuySignal and compositeSellSignal compositeBuySignal := false compositeSellSignal := false = calculateCompositeSignals() // Final Entry Signals entryCompositeBuySignal = compositeBuySignal and ta.rising(emaFast_ATG, 2) entryCompositeSellSignal = compositeSellSignal and ta.falling(emaFast_ATG, 2) Calculates weighted scores from independent modules and activates signals only when threshold requirements are met. 2. Smart Exit Hold Evaluation System evaluateSmartHold() => compositeBuyRecentCount = 0 compositeSellRecentCount = 0 for i = 0 to signalLookbackBars - 1 compositeBuyRecentCount += compositeBuySignal ? 1 : 0 compositeSellRecentCount += compositeSellSignal ? 1 : 0 avgVolume = ta.sma(volume, 20) volumeSpike = volume > avgVolume * volMultiplier // MTF Bull/Bear conditions mtf_bull = mtf_emaFast_final > mtf_emaSlow_final mtf_bear = mtf_emaFast_final < mtf_emaSlow_final emaBackupDivergence = math.abs(mtf_emaFast_backup - mtf_emaSlow_backup) / mtf_emaSlow_backup emaBackupStrong = emaBackupDivergence > 0.008 mtfConflict_Long = inLong and mtf_bear and emaBackupStrong mtfConflict_Short = inShort and mtf_bull and emaBackupStrong // Layer 1: ATR-Based Dynamic Threshold (Market Volatility Intelligence) atr_raw = ta.atr(atrLen) atrValue = na(atr_raw) ? close * 0.02 : atr_raw atrRatio = atrValue / close dynamicThreshold = atrRatio > 0.02 ? 1.0 : (atrRatio > 0.01 ? 1.5 : 2.8) // Layer 2: ROI-Conditional Time Intelligence (Selective Pressure) timeMultiplier_Long = realROI >= 0 ? 1.0 : // Profitable positions: No time pressure holdTimer_Long <= signalLookbackBars ? 1.0 : // Loss positions 1-8 bars: Base holdTimer_Long <= signalLookbackBars * 2 ? 1.1 : // Loss positions 9-16 bars: +10% stricter 1.3 // Loss positions 17+ bars: +30% stricter timeMultiplier_Short = realROI >= 0 ? 1.0 : // Profitable positions: No time pressure holdTimer_Short <= signalLookbackBars ? 1.0 : // Loss positions 1-8 bars: Base holdTimer_Short <= signalLookbackBars * 2 ? 1.1 : // Loss positions 9-16 bars: +10% stricter 1.3 // Loss positions 17+ bars: +30% stricter // Dual-Layer Threshold Calculation baseThreshold_Long = mtfConflict_Long ? dynamicThreshold + 1.0 : dynamicThreshold baseThreshold_Short = mtfConflict_Short ? dynamicThreshold + 1.0 : dynamicThreshold timeAdjustedThreshold_Long = baseThreshold_Long * timeMultiplier_Long timeAdjustedThreshold_Short = baseThreshold_Short * timeMultiplier_Short // Final Smart Hold Decision with Dual-Layer Intelligence smartHold_Long = not mtfConflict_Long and smartScoreLong >= timeAdjustedThreshold_Long and compositeBuyRecentCount >= signalMinCount smartHold_Short = not mtfConflict_Short and smartScoreShort >= timeAdjustedThreshold_Short and compositeSellRecentCount >= signalMinCount = evaluateSmartHold() Evaluates whether to hold positions past TP1/TP2/TP3 levels based on continued signal strength, volume confirmation, and multi-timeframe trend alignment HOW TO USE THE STRATEGY Step 1: Initial Setup Apply strategy to your preferred timeframe (backtested on 15M) Enable "Use Heikin-Ashi Base" for smoother signals in volatile markets "Show EMA Lines" and "Show Ichimoku Cloud" are enabled for visual context Set default quantities to match your risk management (5% equity default) Step 2: Signal Recognition Visual Signal Guide: Visual Signal Guide - Complete Reference: 🔶 Red Diamond: Bearish momentum breakdown - short reversal signal 🔷 Blue Diamond: Strong bullish momentum - long reversal signal 🔵 Blue Dot: Volume-confirmed directional move - trend continuation 🟢 Green Dot: Bullish EMA crossover - trend reversal confirmation 🟠 Orange X: Oversold reversal setup - counter-trend opportunity ❌ Red X: Bearish EMA breakdown - trend reversal warning ✡ Star Uprising: Strong bullish convergence 💥 Ultra Entry: Ultra-rapid downward momentum acceleration ▲ VSS Long: Velocity-based bullish momentum confirmation ▼ VSS Short: Velocity-based bearish momentum confirmation Step 3: Entry Execution For Long Positions: 1. ✅ EMA1 crossed above EMA2 exactly 3 bars ago [ta.crossover(ema1,ema2) ] 2. ✅ Current EMA structure: EMA1 > EMA2 (maintained) 3. ✅ Composite score ≥ 5.0 points (6.5+ for 5-minute timeframes) 4. ✅ Cooldown period completed (no recent stop losses) 5. ✅ Volume spike confirmation (green dot/blue dot signals) 6. ✅ Bullish candle closes above EMA structure For Short Positions: 1. ✅ EMA1 crossed below EMA2 exactly 3 bars ago [ta.crossunder(ema1,ema2) ] 2. ✅ Current EMA structure: EMA1 < EMA2 (maintained) 3. ✅ Composite score ≥ 5.4 points (7.0+ for 5-minute timeframes) 4. ✅ Cooldown period completed (no recent stop losses) 5. ✅ Momentum breakdown (red diamond/red X signals) 6. ✅ Bearish candle closes below EMA structure 🎯 Critical Timing Note: The strategy requires EMA crossover to have occurred 3 bars prior to entry, not at the current bar. This attempts to avoid premature entries and may improve signal reliability. Step 4: Reading Market Context EMA Ribbon Interpretation: All EMAs ascending = Strong uptrend context EMAs 1-3 above EMAs 4-8 = Bullish structure Tight EMA spacing = Low volatility/consolidation Wide EMA spacing = High volatility/trending Ichimoku Cloud Context: Price above cloud = Bullish environment Price below cloud = Bearish environment Cloud color intensity = Momentum strength Thick cloud = Strong support/resistance THE SMART EXIT GRID SYSTEM Smart Exit Grid Approach: The Smart Exit Grid uses dynamic hold evaluation that continuously analyzes market conditions after position entry. This differs from traditional fixed profit targets by adapting exit timing based on real-time signal strength. How Smart Exit Grid System Works The system operates through three evaluation phases: Smart Score Calculation: The smart score calculation aggregates 22 signal components in real-time, combining reversal warnings, continuation signals, trend alignment indicators, EMA structural analysis, and risk penalties into a numerical representation of market conditions. MTF analysis provides additional confirmation as a separate validation layer. Signal Stack Management: The per-tick signal accumulation system monitors 22 active signal types with MTF providing trend validation and conflict detection as a separate confirmation layer. Take Profit Progression: Smart Exit Activation: The QRE system activates Smart Exit Grid immediately upon position entry. When strategy.entry() executes, the system initializes monitoring systems designed to track position progress. Upon position opening, holdTimer begins counting, establishing the foundation for subsequent decisions. The Smart Exit Grid starts accumulating signals from entry, with all 22 signal components beginning real-time tracking when the trade opens. The system operates on continuous evaluation where smartScoreLong and smartScoreShort calculate from the first tick after entry. QRE's approach is designed to capture market structure changes, trend deteriorations, or signal pattern shifts that can trigger protective exits even before the first take profit level is reached. This activation creates a proactive position management framework. The 8-candle sliding window starts from entry, meaning that if market conditions change rapidly after entry - due to news events, liquidity shifts, or technical changes - the system can respond within the configured lookback period. TP Markers as Reference Points: The TP1, TP2, and TP3 levels function as reference points rather than mandatory exit triggers. When longTP1Hit or shortTP1Hit conditions activate, they serve as profit confirmation markers that inform the Smart Exit algorithm about achieved reward levels, but don't automatically initiate position closure. These TP markers enhance the Smart Exit decision matrix by providing profit context to ongoing signal evaluation. The system recognizes when positions have achieved target returns, but the actual exit decision remains governed by continuous smart score evaluation and signal stack analysis. TP2 Reached: Enhanced Monitoring TP2 represents significant profit capture with additional monitoring features: This approach is designed to help avoid premature profit-taking during trending conditions. If TP2 is reached but smartScoreLong remains above the dynamic threshold and the 8-candle sliding window shows persistent signals, the position continues holding. If market structure deteriorates before reaching TP2, the Smart Exit can trigger closure based on signal analysis. The visual TP circles that appear when levels are reached serve as performance tracking tools, allowing users to see how frequently entries achieve various profit levels while understanding that actual exit timing depends on market structure analysis. Risk Management Systems: Operating independently from the Smart Exit Grid are two risk management systems: the Trap Wick Detection Protocol and the Stop Loss Mechanism. These systems maintain override authority over other exit logic. The Trap Wick System monitors for conditionBearTrapExit during long positions and conditionBullTrapExit during short positions. When detected, these conditions trigger position closure with state reset, bypassing Smart Exit evaluations. This system recognizes that certain candlestick patterns may indicate reversal risk. Volatility Exit Monitoring: The strategy monitors for isStrongBearCandle combined with conditionBearTrapExit, recognizing when market structure may be shifting. Volume Validation: Before exiting on volatility, the strategy requires volume confirmation: volume > ta.sma(volume, 20) * 1.8. This is designed to filter exits on weak, low-volume movements. The Stop Loss Mechanism operates through multiple triggers including traditional price-based stops (longSLHit, shortSLHit) and early exit conditions based on smart score deterioration combined with negative ROI. The early exit logic activates when smartScoreLong < 1.0 or smartScoreShort < 1.0 while realROI < -0.9%. These risk management systems are designed so that risk scenarios can trigger protective closure with state reset across all 22 signal counters, TP tracking variables, and smart exit states. This architecture - Smart Exit activation, TP markers as navigation tools, and independent risk management - creates a position management system that adapts to market conditions while maintaining risk discipline through dedicated protection protocols. TP3 Reached: Enhanced Protection Once TP3 is hit, the strategy shifts into enhanced monitoring: EMA Structure Monitoring: isEMAStructureDown becomes a primary exit trigger MTF Alignment: The higher timeframe receives increased consideration Wick Trap Priority: conditionBearTrapExit becomes an immediate exit signal Approach Differences: Traditional Fixed Exits: Exit at predetermined levels regardless of market conditions May exit during trend continuation May exit before trend completion Limited adaptation to changing volatility Smart Exit Grid Approach: Adaptive timing based on signal conditions Exits when supporting signals weaken Multi-timeframe validation for trend confirmation Volume confirmation requirements for holds Structural monitoring for trend analysis Dynamic ATR-Based Smart Score Threshold System Market Volatility Adaptive Scoring // Real-time ATR Analysis atr_raw = ta.atr(atrLen) atrValue = na(atr_raw) ? close * 0.02 : atr_raw atrRatio = atrValue / close // Three-Tier Dynamic Threshold Matrix dynamicThreshold = atrRatio > 0.02 ? 1.0 : // High volatility: Lower threshold (atrRatio > 0.01 ? 1.5 : // Medium volatility: Standard 2.8) // Low volatility: Higher threshold The market volatility adaptive scoring calculates real-time ATR with a 2% fallback for new markets. The atrRatio represents the relationship between current volatility and price, creating a foundation for threshold adjustment. The three-tier dynamic threshold matrix responds to market conditions by adjusting requirements based on volatility levels: lowering thresholds during high volatility periods above 2% ATR ratio to 1.0 points, maintaining standard requirements at 1.5 points for medium volatility between 1-2%, and raising standards to 2.8 points during low volatility periods below 1%. Profit-Loss Adaptive Management: The system applies different evaluation criteria based on position performance: Winning Positions (realROI ≥ 0%): → timeMultiplier = 1.0 (No additional pressure) → Maintains base threshold requirements → Allows natural progression to TP2/TP3 levels Losing Positions (realROI < 0%): → Progressive time pressure activated → Increasingly strict requirements over time → Faster decision-making on underperforming trades ROI-Adaptive Smart Hold Decision Process: The strategy uses a profit-loss adaptive system: Winning Position Management (ROI ≥ 0%): ✅ Standard threshold requirements maintained ✅ No additional time-based pressure applied ✅ Allows positions to progress toward TP2/TP3 levels ✅ timeMultiplier remains at 1.0 regardless of hold duration Losing Position Management (ROI < 0%): ⚠️ Time-based threshold adjustments activated ⚠️ Progressive increase in required signal strength over time ⚠️ Earlier exit evaluation on underperforming positions ⚠️ timeMultiplier increases from 1.0 → 1.1 → 1.3 based on hold duration Real-Time Monitoring: Monitor Analysis Table → "Smart" filter → "Score" vs "Dynamic Threshold" Winning positions: Evaluation based on signal strength deterioration only Losing positions: Evaluation considers both signal strength and progressive time adjustments Breakeven positions (0% ROI): Treated as winning positions - no time adjustments This approach differentiates between winning and losing positions in the hold evaluation process, requiring higher signal thresholds for extended holding of losing positions while maintaining standard requirements for winning ones. ROI-Conditional Decision Matrix Examples: Scenario 1 - Winning Position in Any Market: Position ROI: +0.8% → timeMultiplier = 1.0 (regardless of hold time) ATR Medium (1.2%) → dynamicThreshold = 1.5 Final Threshold = 1.5 × 1.0 = 1.5 points ✅ Position continues Scenario 2 - Losing Position, Extended Hold: Position ROI: -0.5% → Time pressure activated Hold Time: 20 bars → timeMultiplier = 1.3 ATR Low (0.8%) → dynamicThreshold = 2.8 Final Threshold = 2.8 × 1.3 = 3.64 points ⚡ Enhanced requirements Scenario 3 - Fresh Losing Position: Position ROI: -0.3% → Time pressure activated Hold Time: 5 bars → timeMultiplier = 1.0 (still early) ATR High (2.1%) → dynamicThreshold = 1.0 Final Threshold = 1.0 × 1.0 = 1.0 points 📊 Recovery opportunity Scenario 4 - Breakeven Position: Position ROI: 0.0% → timeMultiplier = 1.0 (no pressure) Hold Time: 15 bars → No time penalty applied Final Threshold = dynamicThreshold only ⚖️ Neutral treatment 🔄8-Candle Sliding Window Signal Rotation System Composite Signal Counting Mechanism // Dynamic Lookback Window (configurable: default 8) signalLookbackBars = input.int(8, "Composite Lookback Bars", minval=1, maxval=50) // Rolling Signal Analysis compositeBuyRecentCount = 0 compositeSellRecentCount = 0 for i = 0 to signalLookbackBars - 1 compositeBuyRecentCount += compositeBuySignal ? 1 : 0 compositeSellRecentCount += compositeSellSignal ? 1 : 0 Candle Flow Example (8-bar window): → ✓ ✓ ✗ ✓ ✗ ✓ ✗ ✓ 🗑️ New Signal Count = 5/8 signals in window Threshold Check: 5 ≥ signalMinCount (2) = HOLD CONFIRMED Signal Decay & Refresh Mechanism // Signal Persistence Tracking if compositeBuyRecentCount >= signalMinCount smartHold_Long = true else smartHold_Long = false The composite signal counting operates through a configurable sliding window. The system maintains rolling counters that scan backward through the specified number of candles. During each evaluation cycle, the algorithm iterates through historical bars, incrementing counters when composite signals are detected. This creates a dynamic signal persistence measurement where recent signal density determines holding decisions. The sliding window rotation functions like a moving conveyor belt where new signals enter while the oldest signals drop off. For example, in an 8-bar window, if 5 out of 8 recent candles showed composite buy signals, and the minimum required count is 2, the system confirms the hold condition. As new bars form, the window slides forward, potentially changing the signal count and triggering exit conditions when signal density falls below the threshold. Signal decay and refresh occur continuously where smartHold_Long remains true only when compositeBuyRecentCount exceeds signalMinCount. When recent signal density drops below the minimum requirement, the system switches to exit mode. Advanced Signal Stack Management - 22-Signal Real-Time Evaluation // Long Position Signal Stacking (calc_on_every_tick=true) if inLong // Primary Reversal Signals if signalRedDiamond: signalCountRedDiamond += 1 // -0.5 points if signalStarUprising: signalCountStarUprising += 1 // +1.5 points if entryUltraShort: signalCountUltra += 1 // -1.0 points // Trend Confirmation Signals if strongUpTrend: trendUpCount_Long += 1 // +1.5 points if emaAlignment_Bull: bullAlignCount_Long += 1 // +1.0 points // Risk Assessment Signals if highRisk_Long: riskCount_Long += 1 // -1.5 points if topZone: tzoneCount_Long += 1 // -0.5 points The per-tick signal accumulation system operates with calc_on_every_tick=true for real-time responsiveness. During long positions, the system monitors primary reversal signals where Red Diamond signals subtract 0.5 points as reversal warnings, Star Uprising adds 1.5 points for continuation signals, and Ultra Short signals deduct 1.0 points as counter-trend warnings. Trend confirmation signals provide weighted scoring where strongUpTrend adds 1.5 points for aligned momentum, emaAlignment_Bull contributes 1.0 point for structural support, and various EMA-based confirmations contribute to the overall score. Risk assessment signals apply negative weighting where highRisk_Long situations subtract 1.5 points, topZone conditions deduct 0.5 points, and other risk factors create defensive scoring adjustments. The smart score calculation aggregates all 22 components in real-time, combining reversal warnings, continuation signals, trend alignment indicators, EMA structural analysis, and risk penalties into a numerical representation of market conditions. This score updates continuously, providing the foundation for hold-or-exit decisions. MULTI-TIMEFRAME (MTF) SYSTEM MTF Data Collection The strategy requests higher timeframe data (default 30-minute) for trend confirmation: = request.security(syminfo.tickerid, mtfTimeframe, , lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_off) MTF Watchtower System - Implementation Logic The system employs a timeframe discrimination protocol where currentTFInMinutes is compared against a 30-minute threshold. This creates different operational behavior between timeframes: 📊 Timeframe Testing Results: 30M+ charts: Full MTF confirmation → Tested with full features 15M charts: Local EMA + adjusted parameters → Standard testing baseline 5M charts: Local EMA only → Requires parameter adjustment 1M charts: High noise → Limited testing conducted When the chart timeframe is 30 minutes or above, the strategy activates useMTF = true and requests external MTF data through request.security(). For timeframes below 30 minutes, including your 5-minute setup, the system deliberately uses local EMA calculations to avoid MTF lag and data inconsistencies. The triple-layer data sourcing architecture works as follows: timeframes from 1 minute to 29 minutes rely on chart-based EMA calculations for immediate responsiveness. Timeframes of 30 minutes and above utilize MTF data through the security function, with a backup system that doubles the EMA length (emaLen * 2) if MTF data fails. When MTF data is unavailable or invalid, the system falls back to local EMA as the final safety net. Data validation occurs through a pipeline where mtf_dataValid checks not only for non-null values but also verifies that EMA values are positive above zero. The system tracks data sources through mtf_dataSource which displays "MTF Data" for successful external requests, "Backup EMA" for failed MTF with backup system active, or "Chart EMA" for local calculations. 🔄 MTF Smart Score Caching & Recheck System // Cache Update Decision Logic mtfSmartIntervalSec = input.int(300, "Smart Grid Recheck Interval (sec)") // 5-minute cache canRecheckSmartScore = na(timenow) ? false : (na(lastCheckTime) or (timenow - lastCheckTime) > mtfSmartIntervalSec * 1000) // Cache Management if canRecheckSmartScore lastCheckTime := timenow cachedSmartScoreLong := smartScoreLong // Store current calculation cachedSmartScoreShort := smartScoreShort The performance-optimized caching system addresses the computational intensity of continuous MTF analysis through intelligent interval management. The mtfSmartIntervalSec parameter, defaulting to 300 seconds (5 minutes), determines cache refresh frequency. The system evaluates canRecheckSmartScore by comparing current time against lastCheckTime plus the configured interval. When cache updates trigger, the system stores current calculations in cachedSmartScoreLong and cachedSmartScoreShort, creating stable reference points that reduce excessive MTF requests. This cache management balances computational efficiency with analytical accuracy. The cache versus real-time hybrid system creates a multi-layered decision matrix where immediate signals update every tick for responsive market reaction, cached MTF scores refresh every 5 minutes for stability filtering, dynamic thresholds recalculate every bar for volatility adaptation, and sliding window analysis updates every bar for trend persistence validation. This architecture balances real-time signal detection with multi-timeframe strategic validation, creating adaptive trading intelligence that responds immediately to market changes while maintaining strategic stability through cached analysis and volatility-adjusted decision thresholds. ⚡The Execution Section Deep Dive The execution section represents the culmination of all previous systems – where analysis transforms into action. 🚪 Entry Execution: The Gateway Protocol Primary Entry Validation: Entry isn't just about seeing a signal – it's about passing through multiple security checkpoints, each designed to filter out low-quality opportunities. Stage 1: Signal Confirmation entryCompositeBuySignal must be TRUE for longs entryCompositeSellSignal must be TRUE for shorts Stage 2: Enhanced Entry Validation The strategy employs an "OR" logic system that recognizes different types of market opportunities: Path A - Trend Reversal Entry: When emaTrendReversal_Long triggers, it indicates the market structure is shifting in favor of the trade direction. This isn't just about a single EMA crossing – it represents a change in market momentum that experienced traders recognize as potential high-probability setups. Path B - Momentum Breakout Entry: The strongBullMomentum condition is where QRE identifies accelerating market conditions: Criteria: EMA1 rising for 3+ candles AND EMA2 rising for 2+ candles AND Close > 10-period high This combination captures those explosive moves where the market doesn't just trend – it accelerates, creating momentum-driven opportunities. Path C - Recovery Entry: When previous exit states are clean (no recent stop losses), the strategy permits entry based purely on signal strength. This pathway is designed to help avoid the strategy becoming overly cautious after successful trades. 🛡️ The Priority Exit Matrix: When Rules Collide Not all exit signals are created equal. QRE uses a strict hierarchy that is designed to avoid conflicting signals from causing hesitation: Priority Level 1 - Exception Exits (Immediate Action): Condition: TP3 reached AND Wick Trap detected Action: Immediate exit regardless of other signals Rationale: Historical analysis suggests wick traps at TP3 may indicate potential reversals Priority Level 2 - Structural Breakdown: Condition: TP3 active AND EMA structure deteriorating AND Smart Score insufficient Logic: isEMAStructureDown AND NOT smartHold_Long This represents the strategy recognizing that the underlying market structure that justified the trade is failing. It's like a building inspector identifying structural issues – you don't wait for additional confirmation. Priority Level 3 - Enhanced Volatility Exits: Conditions: TP2 active AND Strong counter-candle AND Wick trap AND Volume spike Logic: Multiple confirmation required to reduce false exits Priority Level 4 - Standard Smart Score Exits: Condition: Any TP level active AND smartHold evaluates to FALSE This is the bread-and-butter exit logic where signal deterioration triggers exit ⚖️ Stop Loss Management: Risk Control Protocol Dual Stop Loss System: QRE provides two stop loss modes that users can select based on their preference: Fixed Mode (Default - useAdaptiveSL = false): Uses predetermined percentage levels regardless of market volatility: - Long SL = entryPrice × (1 - fixedRiskP - slipBuffer) - Short SL = entryPrice × (1 + fixedRiskP + slipBuffer) - Default: 0.6% risk + 0.3% slippage buffer = 0.9% total stop - Consistent and predictable stop loss levels - Recommended for users who prefer stable risk parameters Adaptive Mode (Optional - useAdaptiveSL = true): Dynamic system that adjusts stop loss based on market volatility: - Base Calculation uses ATR (Average True Range) - Long SL = entryPrice × (1 - (ATR × atrMultSL) / entryPrice - slipBuffer) - Short SL = entryPrice × (1 + (ATR × atrMultSL) / entryPrice + slipBuffer) - Automatically widens stops during high volatility periods - Tightens stops during low volatility periods - Advanced users can enable for volatility-adaptive risk management Trend Multiplier Enhancement (Both Modes): When strongUpTrend is detected for long positions, the stop loss receives 1.5x breathing room. Strong trends often have deeper retracements before continuing. This is designed to help avoid the strategy being shaken out of active trades by normal market noise. Mode Selection Guidance: - New Users: Start with Fixed Mode for predictable risk levels - Experienced Users: Consider Adaptive Mode for volatility-responsive stops - Volatile Markets: Adaptive Mode may provide better stop placement - Stable Markets: Fixed Mode often sufficient for consistent risk management Early Exit Conditions: Beyond traditional stop losses, QRE implements "smart stops" that trigger before price-based stops: Early Long Exit: (smartScoreLong < 1.0 OR prev5BearCandles) AND realROI < -0.9% 🔄 State Management: The Memory System Complete State Reset Protocol: When a position closes, QRE doesn't just wipe the slate clean – it performs a methodical reset: TP State Cleanup: All Boolean flags: tp1/tp2/tp3HitBefore → FALSE All Reached flags: tp1/tp2/tp3Reached → FALSE All Active flags: tp1/tp2/tp3HoldActive → FALSE Signal Counter Reset: Every one of the 22 signal counters returns to zero. This is designed to avoid signal "ghosting" where old signals influence new trades. Memory Preservation: While operational states reset, certain information is preserved for learning: killReasonLong/Short: Why did this trade end? lastExitWasTP1/TP2/TP3: What was the exit quality? reEntryCount: How many consecutive re-entries have occurred? 🔄 Re-Entry Logic: The Comeback System Re-Entry Conditions Matrix: QRE implements a re-entry system that recognizes not all exits are created equal: TP-Based Re-Entry (Enabled): Criteria: Previous exit was TP1, TP2, or TP3 Cooldown: Minimal or bypassed entirely Logic: Target-based exits indicate potentially viable market conditions EMA-Based Re-Entry (Conditional): Criteria: Previous exit was EMA-based (structural change) Requirements: Must wait for EMA confirmation in new direction Minimum Wait: 5 candles Advanced Re-Entry Features: When adjustReEntryTargets is enabled, the strategy becomes more aggressive with re-entries: Target Adjustment: TP1 multiplied by reEntryTP1Mult (default 2.0) Stop Adjustment: SL multiplied by reEntrySLMult (default 1.5) Logic: If we're confident enough to re-enter, we should be confident enough to hold for bigger moves Performance Tracking: Strategy tracks re-entry win rate, average ROI, and total performance separately from initial entries for optimization analysis. 📊 Exit Reason Analytics: Learning from Every Trade Kill Reason Tracking: Every exit is categorized and stored: "TP3 Exit–Wick Trap": Exit at target level with wick pattern detection "Smart Exit–EMA Down": Structural breakdown exit "Smart Exit–Volatility": Volatility-based protection exit "Exit Post-TP1/TP2/TP3": Standard smart exit progression "Long SL Exit" / "Short SL Exit": Stop loss exits Performance Differentiation: The strategy tracks performance by exit type, allowing for continuous analysis: TP-based exits: Achieved target levels, analyze for pattern improvement EMA-based exits: Mixed results, analyze for pattern improvement SL-based exits: Learning opportunities, adjust entry criteria Volatility exits: Protective measures, monitor performance 🎛️ Trailing Stop Implementation: Conditional Trailing Activation: Activation Criteria: Position profitable beyond trailingStartPct AND (TP hold active OR re-entry trade) Dynamic Trailing Logic: Unlike simple trailing stops, QRE's implementation considers market context: Trending Markets: Wider trail offsets to avoid whipsaws Volatile Markets: Tighter offsets to protect gains Re-Entry Trades: Enhanced trailing to maximize second-chance opportunities Return-to-Entry Protection: When deactivateOnReturn is enabled, the strategy will close positions that return to entry level after being profitable. This is designed to help avoid the frustration of watching profitable trades turn into losers. 🧠 How It All Works Together The beauty of QRE lies not in any single component, but in how everything integrates: The Entry Decision: Multiple pathways are designed to help identify opportunities while maintaining filtering standards. The Progression System: Each TP level unlocks new protection features, like achieving ranks in a video game. The Exit Matrix: Prioritized decision-making aims to reduce analysis paralysis while providing appropriate responses to different market conditions. The Memory System: Learning from each trade while preventing contamination between separate opportunities. The Re-Entry Logic: Re-entry system that balances opportunity with risk management. This creates a trading system where entry conditions filter for quality, progression systems adapt to changing market conditions, exit priorities handle conflicting signals intelligently, memory systems learn from each trade cycle, and re-entry logic maximizes opportunities while managing risk exposure. 📊 ANALYSIS TABLE INTERPRETATION - ⚙️ Enabling Analysis Mode Navigate to strategy settings → "Testing & Analysis" → Enable "Show Analysis Table". The Analysis Table displays different information based on the selected test filter and provides real-time insight into all strategy components, helping users understand current market conditions, position status, and system decision-making processes. 📋 Filter Mode Interpretations "All" Mode (Default View): Composite Section: Buy Score: Aggregated strength from all 22 bullish signals (threshold 5.0+ triggers entry consideration) Sell Score: Aggregated strength from all 22 bearish signals (threshold 5.4+ triggers entry consideration) APEX Filters: ATG Trend: Shows current trend direction analysis Indicates whether momentum filters are aligned for directional bias ReEntry Section: Most Recent Exit: Displays exit type and timeframe since last position closure Status: Shows if ReEntry system is Ready/Waiting/Disabled Count: Current re-entry attempts versus maximum allowed attempts Position Section (When Active): Status: Current position state (LONG/SHORT/FLAT) ROI: Dual calculation showing Custom vs Real ROI percentages Entry Price: Original position entry level Current Price: Live market price for comparison TP Tracking: Progress toward profit targets "Smart" Filter (Critical for Active Positions): Smart Exit Section: Hold Timer: Time elapsed since position opened (bar-based counting) Status: Whether Smart Exit Grid is Enabled/Disabled Score: Current smart score calculation from 22-component matrix Dynamic Threshold: ATR-based minimum score required for holding Final Threshold: Time and ROI-adjusted threshold actually used for decisions Score Check: Pass/Fail based on Score vs Final Threshold comparison Smart Hold: Current hold decision status Final Hold: Final recommendation based on all factors 🎯 Advanced Smart Exit Debugging - ROI & Time-Based Threshold System Understanding the Multi-Layer Threshold System: Layer 1: Dynamic Threshold (ATR-Based) atrRatio = ATR / close dynamicThreshold = atrRatio > 0.02 ? 1.0 : // High volatility: Lower threshold (atrRatio > 0.01 ? 1.5 : // Medium volatility: Standard 2.8) // Low volatility: Higher threshold Layer 2: Time Multiplier (ROI & Duration-Based) Winning Positions (ROI ≥ 0%): → timeMultiplier = 1.0 (No time pressure, regardless of hold duration) Losing Positions (ROI < 0%): → holdTimer ≤ 8 bars: timeMultiplier = 1.0 (Early stage, standard requirements) → holdTimer 9-16 bars: timeMultiplier = 1.1 (10% stricter requirements) → holdTimer 17+ bars: timeMultiplier = 1.3 (30% stricter requirements) Layer 3: Final Threshold Calculation finalThreshold = dynamicThreshold × timeMultiplier Examples: - Winning Position: 2.8 × 1.0 = 2.8 (Always standard) - Losing Position (Early): 2.8 × 1.0 = 2.8 (Same as winning initially) - Losing Position (Extended): 2.8 × 1.3 = 3.64 (Much stricter) Real-Time Debugging Display: Smart Exit Section shows: Score: 3.5 → Current smartScoreLong/Short value Dynamic Threshold: 2.8 → Base ATR-calculated threshold Final Threshold: 3.64 (ATR×1.3) → Actual threshold used for decisions Score Check: FAIL (3.5 vs 3.64) → Pass/Fail based on final comparison Final Hold: NO HOLD → Actual system decision Position Status Indicators: Winner + Early: ATR×1.0 (No pressure) Winner + Extended: ATR×1.0 (No pressure - winners can run indefinitely) Loser + Early: ATR×1.0 (Recovery opportunity) Loser + Extended: ATR×1.1 or ATR×1.3 (Increasing pressure to exit) MTF Section: Data Source: Shows whether using MTF Data/EMA Backup/Local EMA Timeframe: Configured watchtower timeframe setting Data Valid: Confirms successful MTF data retrieval status Trend Signal: Higher timeframe directional bias analysis Close Price: MTF price data availability confirmation "Composite" Filter: Composite Section: Buy Score: Real-time weighted scoring from multiple indicators Sell Score: Opposing directional signal strength Threshold: Minimum scores required for signal activation Components: Flash/Blink: Momentum acceleration indicators (F = Flash active, B = Blink active) Individual filter contributions showing which specific signals are firing "ReEntry" Filter: ReEntry System: System: Shows if re-entry feature is Enabled/Disabled Eligibility: Conditions for new entries in each direction Performance: Success metrics of re-entry attempts when enabled 🎯 Key Status Indicators Status Column Symbols: ✓ = Condition met / System active / Signal valid ✗ = Condition not met / System inactive / No signal ⏳ = Cooldown active (waiting period) ✅ = Ready state / Good condition 🔄 = Processing / Transitioning state 🔍 Critical Reading Guidelines For Active Positions - Smart Exit Priority Reading: 1. First Check Position Type: ROI ≥ 0% = Winning Position (Standard requirements) ROI < 0% = Losing Position (Progressive requirements) 2. Check Hold Duration: Early Stage (≤8 bars): Standard multiplier regardless of ROI Extended Stage (9-16 bars): Slight pressure on losing positions Long Stage (17+ bars): Strong pressure on losing positions 3. Score vs Final Threshold Analysis: Score ≥ Final Threshold = HOLD (Continue position) Score < Final Threshold = EXIT (Close position) Watch for timeMultiplier changes as position duration increases 4. Understanding "Why No Hold?" Common scenarios when Score Check shows FAIL: Losing position held too long (timeMultiplier increased to 1.1 or 1.3) Low volatility period (dynamic threshold raised to 2.8) Signal deterioration (smart score dropped below required level) MTF conflict (higher timeframe opposing position direction) For Entry Signal Analysis: Composite Score Reading: Signal strength relative to threshold requirements Component Analysis: Individual filter contributions to overall score EMA Structure: Confirm 3-bar crossover requirement met Cooldown Status: Ensure sufficient time passed since last exit For ReEntry Opportunities (when enabled): System Status: Availability and eligibility for re-engagement Exit Type Analysis: TP-based exits enable immediate re-entry, SL-based exits require cooldown Condition Monitoring: Requirements for potential re-entry signals Debugging Common Issues: Issue: "Score is high but no hold?" → Check Final Threshold vs Score (not Dynamic Threshold) → Losing position may have increased timeMultiplier → Extended hold duration applying pressure Issue: "Why different thresholds for same score?" → Position ROI status affects multiplier → Time elapsed since entry affects multiplier → Market volatility affects base threshold Issue: "MTF conflicts with local signals?" → Higher timeframe trend opposing position → System designed to exit on MTF conflicts → Check MTF Data Valid status ⚡ Performance Optimization Notes For Better Performance: Analysis table updates may impact performance on some devices Use specific filters rather than "All" mode for focused monitoring Consider disabling during live trading for optimal chart performance Enable only when needed for debugging or analysis Strategic Usage: Monitor "Smart" filter when positions are active for exit timing decisions Use "Composite" filter during setup phases for signal strength analysis Reference "ReEntry" filter after position closures for re-engagement opportunities Track Final Threshold changes to understand exit pressure evolution Advanced Debugging Workflow: Position Entry Analysis: Check Composite score vs threshold Verify EMA crossover timing (3 bars prior) Confirm cooldown completion Hold Decision Monitoring: Track Score vs Final Threshold progression Monitor timeMultiplier changes over time Watch for MTF conflicts Exit Timing Analysis: Identify which threshold layer caused exit Track performance by exit type Analyze re-entry eligibility This analysis system provides transparency into strategy decision-making processes, allowing users to understand how signals are generated and positions are managed according to the programmed logic during various market conditions and position states. SIGNAL TYPES AND CHARACTERISTICS 🔥 Core Momentum Signals Flash Signal Calculation: ta.rma(math.abs(close - close ), 5) > ta.sma(math.abs(close - close ), 7) Purpose: Detects sudden price acceleration using smoothed momentum comparison Characteristics: Triggers when recent price movement exceeds historical average movement Usage: Primary momentum confirmation across multiple composite calculations Weight: 1.3 points in composite scoring Blink Signal Calculation: math.abs(ta.change(close, 1)) > ta.sma(math.abs(ta.change(close, 1)), 5) Purpose: Identifies immediate price velocity spikes Characteristics: More sensitive than Flash, captures single-bar momentum bursts Usage: Secondary momentum confirmation, often paired with Flash Weight: 1.3 points in composite scoring ⚡ Advanced Composite Signals Apex Pulse Signal Calculation: apexAngleValue > 30 or apexAngleValue < -30 Purpose: Detects extreme EMA angle momentum Characteristics: Identifies when trend angle exceeds ±30 degrees Usage: Confirms directional momentum strength in trend-following scenarios Pressure Surge Signal Calculation: volSpike_AVP and strongTrendUp_ATG Purpose: Combines volume expansion with trend confirmation Characteristics: Requires both volume spike and strong uptrend simultaneously Usage: bullish signal for trend continuation Shift Wick Signal Calculation: ta.crossunder(ema1, ema2) and isWickTrapDetected and directionFlip Purpose: Detects bearish reversal with wick trap confirmation Characteristics: Combines EMA crossunder with upper wick dominance and directional flip Usage: Reversal signal for trend change identification 🛡️ Trap Exit Protection Signals Bear Trap Exit Calculation: isUpperWickTrap and isBearEngulfNow Conditions: Previous bullish candle with 80%+ upper wick, followed by current bearish engulfing Purpose: Emergency exit signal for long positions Priority: Highest - overrides all other hold conditions Action: Immediate position closure with full state reset Bull Trap Exit Calculation: isLowerWickTrap and isBullEngulfNow Conditions: Previous bearish candle with 80%+ lower wick, followed by current bullish engulfing Purpose: Emergency exit signal for short positions Priority: Highest - overrides all other hold conditions Action: Immediate position closure with full state reset 📊 Technical Analysis Foundation Signals RSI-MFI Hybrid System Base Calculation: (ta.rsi(close, 14) + ta.mfi(close, 14)) / 2 Oversold Threshold: < 35 Overbought Threshold: > 65 Weak Condition: < 35 and declining Strong Condition: > 65 and rising Usage: Momentum confirmation and reversal identification ADX-DMI Trend Classification Strong Up Trend: (adx > 25 and diplus > diminus and (diplus - diminus) > 5) or (ema1 > ema2 and ema2 > ema3 and ta.rising(ema2, 3)) Strong Down Trend: (adx > 20 and diminus > diplus - 5) or (ema1 < ema2 and ta.falling(ema1, 3)) Trend Weakening: adx < adx and adx < adx Usage: Primary trend direction confirmation Bollinger Band Squeeze Detection Calculation: bbWidth < ta.lowest(bbWidth, 20) * 1.2 Purpose: Identifies low volatility periods before breakouts Usage: Entry filter - avoids trades during consolidation 🎨 Visual Signal Indicators Red X Signal Calculation: isBearCandle and ta.crossunder(ema1, ema2) Visual: Red X above price Purpose: Bearish EMA crossunder with confirming candle Composite Weight: +1.0 for short positions, -1.0 for long positions Characteristics: Simple but effective trend change indicator Green Dot Signal Calculation: isBullCandle and ta.crossover(ema1, ema2) Visual: Green dot below price Purpose: Bullish EMA crossover with confirming candle Composite Weight: +1.0 for long positions, -1.0 for short positions Characteristics: Entry confirmation for trend-following strategies Blue Diamond Signal Trigger Conditions: amcBuySignal and score >= 4 Scoring Components: 11 different technical conditions Key Requirements: AMC bullish + momentum rise + EMA expansion + volume confirmation Visual: Blue diamond below price Purpose: Bullish reversal or continuation signal Characteristics: Multi-factor confirmation requiring 4+ technical alignments Red Diamond Signal Trigger Conditions: amcSellSignal and score >= 5 Scoring Components: 11 different technical conditions (stricter than Blue Diamond) Key Requirements: AMC bearish + momentum crash + EMA compression + volume decline Visual: Red diamond above price Purpose: Potential bearish reversal or continuation signal Characteristics: Requires higher threshold (5 vs 4) for more selective triggering 🔵 Specialized Detection Signals Blue Dot Signal Calculation: volumePulse and isCandleStrong and volIsHigh Requirements: Volume > 2.0x MA, strong candle body > 35% of range, volume MA > 55 Purpose: Volume-confirmed momentum signal Visual: Blue dot above price Characteristics: Volume-centric signal for high-liquidity environments Orange X Signal Calculation: Complex multi-factor oversold reversal detection Requirements: AMC oversold + wick trap + flash/blink + RSI-MFI oversold + bullish flip Purpose: Oversold bounce signal with multiple confirmations Visual: Orange X below price Characteristics: Reversal signal requiring 5+ simultaneous conditions VSS (Velocity Signal System) Components: Volume spike + EMA angle + trend direction Buy Signal: vssTrigger and vssTrendDir == 1 Sell Signal: vssTrigger and vssTrendDir == -1 Visual: Green/Red triangles Purpose: Velocity-based momentum detection Characteristics: Fast-response signal for momentum trading ⭐ Elite Composite Signals Star Uprising Signal Base Requirements: entryCompositeBuySignal and echoBodyLong and strongUpTrend and isAMCUp Additional Confirmations: RSI hybrid strong + not high risk Special Conditions: At bottom zone OR RSI bottom bounce OR strong volume bounce Visual: Star symbol below price Purpose: Bullish reversal signal from oversold conditions Characteristics: Most selective bullish signal requiring multiple confirmations Ultra Short Signal Scoring System: 7-component scoring requiring 4+ points Key Components: EMA trap + volume decline + RSI weakness + composite confirmation Additional Requirements: Falling EMA structure + volume spike + flash confirmation Visual: Explosion emoji above price Purpose: Aggressive short entry for trend reversal or continuation Characteristics: Complex multi-layered signal for experienced short selling 🎯 Composite Signal Architecture Enhanced Composite Scoring Long Composite: 15+ weighted components including structure, momentum, flash/blink, volume, price action, reversal triggers, trend alignment Short Composite: Mirror structure with bearish bias Threshold: 5.0 points required for signal activation Conflict Resolution: If both long and short signals trigger simultaneously, both are disabled Final Validation: Requires EMA momentum confirmation (ta.rising(emaFast_ATG, 2) for longs, ta.falling(emaFast_ATG, 2) for shorts) Risk Assessment Integration High Risk Long: RSI > 70 OR close > upper Bollinger Band 80% High Risk Short: RSI < 30 OR close < lower Bollinger Band 80% Zone Analysis: Top zone (95% of 50-bar high) vs Bottom zone (105% of 50-bar low) Risk Penalty: High risk conditions subtract 1.5 points from composite scores This signal architecture creates a multi-layered detection system where simple momentum signals provide foundation, technical analysis adds structure, visual indicators offer clarity, specialized detectors capture different market conditions, and composite signals identify potential opportunities while integrated risk assessment is designed to filter risky entries. VISUAL FEATURES SHOWCASE Ichimoku Cloud Visualization Dynamic Color Intensity: Cloud transparency adapts to momentum strength - darker colors indicate stronger directional moves, while lighter transparency shows weakening momentum phases. Gradient Color Mapping: Bullish momentum renders blue-purple spectrum with increasing opacity, while bearish momentum displays corresponding color gradients with intensity-based transparency. Real-time Momentum Feedback: Color saturation provides immediate visual feedback on market structure strength, allowing traders to assess levels at a glance without additional indicators. EMA Ribbon Bands The 8-level exponential moving average system creates a comprehensive trend structure map with gradient color coding. Signal Type Visualization STRATEGY PROPERTIES & BACKTESTING DISCLOSURE 📊 Default Strategy Configuration: ✅ Initial Capital: 100,000 USD (realistic for average traders) ✅ Commission: 0.075% per trade (realistic exchange fees) ✅ Slippage: 3 ticks (market impact consideration) ✅ Position Size: 5% equity per trade (sustainable risk level) ✅ Pyramiding: Disabled (single position management) ✅ Sample Size: 185 trades over 12-month backtesting period ✅ Risk Management: Adaptive stop loss with maximum 1% risk per trade COMPREHENSIVE BACKTESTING RESULTS Testing Period & Market Conditions: Backtesting Period: June 25, 2024 - June 25, 2025 (12 months) Timeframe: 15-minute charts (MTF system active) Market: BTCUSDT (Bitcoin/Tether) Market Conditions: Full market cycle including volatility periods Deep Backtesting: Enabled for maximum accuracy 📈 Performance Summary: Total Return: +2.19% (+2,193.59 USDT) Total Trades Executed: 185 trades Win Rate: 34.05% (63 winning trades out of 185) Profit Factor: 1.295 (gross profit ÷ gross loss) Maximum Drawdown: 0.65% (653.17 USDT) Risk-Adjusted Returns: Consistent with conservative risk management approach 📊 Detailed Trade Analysis: Position Distribution: Long Positions: 109 trades (58.9%) | Win Rate: 36.70% Short Positions: 76 trades (41.1%) | Win Rate: 30.26% Average Trade Duration: Optimized for 15-minute timeframe efficiency Profitability Metrics: Average Profit per Trade: 11.74 USDT (0.23%) Average Winning Trade: 151.17 USDT (3.00%) Average Losing Trade: 60.27 USDT (1.20%) Win/Loss Ratio: 2.508 (winners are 2.5x larger than losses) Largest Single Win: 436.02 USDT (8.69%) Largest Single Loss: 107.41 USDT (controlled risk management) 💰 Financial Performance Breakdown: Gross Profit: 9,523.93 USDT (9.52% of capital) Gross Loss: 7,352.48 USDT (7.35% of capital) Net Profit After Costs: 2,171.44 USDT (2.17%) Commission Costs: 1,402.47 USDT (realistic trading expenses) Maximum Equity Run-up: 2,431.66 USDT (2.38%) ⚖️ Risk Management Validation: Maximum Drawdown: 0.65% showing controlled risk management Drawdown Recovery: Consistent equity curve progression Risk per Trade: Successfully maintained below 1.5% per position Position Sizing: 5% equity allocation proved sustainable throughout testing period 📋 Strategy Performance Characteristics: ✅ Strengths Demonstrated: Controlled Risk: Maximum drawdown well below industry standards (< 1%) Positive Expectancy: Win/loss ratio of 2.5+ creates profitable edge Consistent Performance: Steady equity curve without extreme volatility Realistic Costs: Includes actual commission and slippage impacts Sample Size: 185 trades during testing period ⚠️ Performance Considerations: Win Rate: 34% win rate requires discipline to follow system signals Market Dependency: Performance may vary significantly in different market conditions Timeframe Sensitivity: Optimized for 15-minute charts; other timeframes may show different results Slippage Impact: Real trading conditions may affect actual performance 📊 Benchmark Comparison: Strategy Return: +2.19% over 12 months Buy & Hold Bitcoin: +71.12% over same period Strategy Advantage: Significantly lower drawdown and volatility Risk-Adjusted Performance: Different risk profile compared to holding cryptocurrency 🎯 Real-World Application Insights: Expected Trading Frequency: Average: 15.4 trades per month (185 trades ÷ 12 months) Weekly Frequency: Approximately 3-4 trades per week Active Management: Requires regular monitoring during market hours Capital Requirements: Minimum Used in Testing: $10,000 for sustainable position sizing Tested Range: $50,000-$100,000 for comfortable risk management Commission Impact: 0.075% per trade totaled 1.4% of capital over 12 months ⚠️ IMPORTANT BACKTESTING DISCLAIMERS: 📈 Performance Reality: Past performance does not guarantee future results. Backtesting results represent hypothetical performance and may not reflect actual trading outcomes due to market changes, execution differences, and emotional factors. 🔄 Market Condition Dependency: This strategy's performance during the tested period may not be representative of performance in different market conditions, volatility regimes, or trending vs. sideways markets. 💸 Cost Considerations: Actual trading costs may vary based on broker selection, market conditions, and trade size. Commission rates and slippage assumptions may differ from real-world execution. 🎯 Realistic Expectations: The 34% win rate requires psychological discipline to continue following signals during losing streaks. Risk management and position sizing are critical for replicating these results. ⚡ Technology Dependencies: Strategy performance assumes reliable internet connection, platform stability, and timely signal execution. Technical failures may impact actual results. CONFIGURATION OPTIMIZATION 5-Minute Timeframe Optimization (Advanced Users Only) ⚠️ Important Warning: 5-minute timeframes operate without MTF confirmation, resulting in reduced signal quality and higher false signal rates. Example 5-Minute Parameters: Composite Thresholds: Long 6.5, Short 7.0 (vs 15M default 5.0/5.4) Signal Lookback Bars: 12 (vs 15M default 8) Volume Multiplier: 2.2 (vs 15M default 1.8) MTF Timeframe: Disabled (automatic below 30M) Risk Management Adjustments: Position Size: Reduce to 3% (vs 5% default) TP1: 0.8%, TP2: 1.2%, TP3: 2.0% (tighter targets) SL: 0.8% (tighter stop loss) Cooldown Minutes: 8 (vs 5 default) Usage Notes for 5-Minute Trading: - Wait for higher composite scores before entry - Require stronger volume confirmation - Monitor EMA structure more closely 15-Minute Scalping Setup: TP1: 1.0%, TP2: 1.5%, TP3: 2.5% Composite Threshold: 5.0 (higher filtering) TP ATR Multiplier: 7.0 SL ATR Multiplier: 2.5 Volume Multiplier: 1.8 (requires stronger confirmation) Hold Time: 2 bars minimum 3-Hour Swing Setup: TP1: 2.0%, TP2: 4.0%, TP3: 8.0% Composite Threshold: 4.5 (more signals) TP ATR Multiplier: 8.0 SL ATR Multiplier: 3.2 Volume Multiplier: 1.2 Hold Time: 6 bars minimum Market-Specific Adjustments High Volatility Periods: Increase ATR multipliers (TP: 2.0x, SL: 1.2x) Raise composite thresholds (+0.5 points) Reduce position size Enable cooldown periods Low Volatility Periods: Decrease ATR multipliers (TP: 1.2x, SL: 0.8x) Lower composite thresholds (-0.3 points) Standard position sizing Disable extended cooldowns News Events: Temporarily disable strategy 30 minutes before major releases Increase volume requirements (2.0x multiplier) Reduce position sizes by 50% Monitor for unusual price action RISK MANAGEMENT Dual ROI System: Adaptive vs Fixed Mode Adaptive RR Mode: Uses ATR (Average True Range) for automatic adjustment TP1: 1.0x ATR from entry price TP2: 1.5x ATR from entry price TP3: 2.0x ATR from entry price Stop Loss: 1.0x ATR from entry price Automatically adjusts to market volatility Fixed Percentage Mode: Uses predetermined percentage levels TP1: 1.0% (default) TP2: 1.5% (default) TP3: 2.5% (default) Stop Loss: 0.9% total (0.6% risk tolerance + 0.3% slippage buffer)(default) Consistent levels regardless of volatility Mode Selection: Enable "Use Adaptive RR" for ATR-based targets, disable for fixed percentages. Adaptive mode works better in varying volatility conditions, while fixed mode provides predictable risk/reward ratios. Stop Loss Management In Adaptive SL Mode: Automatically scales with market volatility Tight stops during low volatility (smaller ATR) Wider stops during high volatility (larger ATR) Include 0.3% slippage buffer in both modes In Fixed Mode: Consistent percentage-based stops 2% for crypto, 1.5% for forex, 1% for stocks Manual adjustment needed for different market conditions Trailing Stop System Configuration: Enable Trailing: Activates dynamic stop loss adjustment Start Trailing %: Profit level to begin trailing (default 1.0%) Trailing Offset %: Distance from current price (default 0.5%) Close if Return to Entry: Optional immediate exit if price returns to entry level Operation: Once position reaches trailing start level, stop loss automatically adjusts upward (longs) or downward (shorts) maintaining the offset distance from favorable price movement. Timeframe-Specific Risk Considerations 15-Minute and Above (Tested): ✅ Full MTF system active ✅ Standard risk parameters apply ✅ Backtested performance metrics valid ✅ Standard position sizing (5%) 5-Minute Timeframes (Advanced Only): ⚠️ MTF system inactive - local signals only ⚠️ Higher false signal rate expected ⚠️ Reduced position sizing preferred (3%) ⚠️ Tighter stop losses required (0.8% vs 1.2%) ⚠️ Requires parameter optimization ⚠️ Monitor performance closely 1-Minute Timeframes (Limited Testing): ❌ Excessive noise levels ❌ Strategy not optimized for this frequency Risk Management Practices Allocate no more than 5% of your total investment portfolio to high-risk trading Never trade with funds you cannot afford to lose Thoroughly backtest and validate the strategy with small amounts before full implementation Always maintain proper risk management and stop-loss settings IMPORTANT DISCLAIMERS Performance Disclaimer Past performance does not guarantee future results. All trading involves substantial risk of loss. This strategy is provided for informational purposes and does not constitute financial advice. Market Risk Cryptocurrency and forex markets are highly volatile. Prices can move rapidly against positions, resulting in significant losses. Users should never risk more than they can afford to lose. Strategy Limitations This strategy relies on technical analysis and may not perform well during fundamental market shifts, news events, or unprecedented market conditions. No trading strategy can guarantee 100% success or eliminate the risk of loss. Legal Compliance You are responsible for compliance with all applicable regulations and laws in your jurisdiction. Consult with licensed financial professionals when necessary. User Responsibility Users are responsible for their own trading decisions, risk management, and compliance with applicable regulations in their jurisdiction.
Strategia Pine Script®
di ApexLegion
(XSN7) with SMT Divergence v9.0 The (XSN7) is an efficiency and precision tool designed for traders who operate with a time-based, multi-market methodology. Its primary purpose is to automate the most time-consuming aspects of liquidity and SMT analysis, allowing the trader to focus on execution rather than manual chart preparation. Why This Tool Provides a Unique Edge Many indicators can show sessions or require manual SMT setup. This tool is fundamentally different by solving two critical workflow problems: It Automates High/Low Tracking: You no longer need to manually draw lines on the highs and lows of every 1-Hour, 4-Hour, or 15-Minute candle you want to track. The script does this for you automatically, tracking the exact high/low of every completed session across your chart history. This not only saves a significant amount of time but also ensures 100% precision and consistency, removing the risk of human error in your analysis. It Automates SMT Analysis with a 'One-Time Setup': Analyzing SMT divergence traditionally requires manually switching between charts and constantly changing the input for your correlated symbol. Our SMT Auto-Pairing Engine eliminates this entirely. You configure your primary trading pairs (e.g., NQ/ES, EURUSD/DXY) one time. The script then intelligently detects which asset you are viewing and automatically pulls data from its correct correlated pair—with the correct inverse logic if needed. This creates a seamless, streamlined workflow for multi-market analysis. By automating these core processes, the indicator provides a tangible edge in speed and accuracy. Key Features Automated High/Low Tracking: The script automatically identifies, marks, and tracks the precise high and low of completed 1-Hour, 4-Hour, 90-Minute, and 15-Minute sessions. Intelligent Liquidity Sweep Alerts: Receive real-time alerts the moment an automatically-tracked session high or low is swept. Alerts are highly configurable, with filters for Daily Bias (Bullish/Bearish) and specific hours of the day. 'One-Time Setup' SMT Auto-Pairing Engine: Define your correlated pairs once, and the script handles the rest. It automatically detects your active chart and applies the correct SMT analysis without needing any further manual input. Full Visual & Technical Control: Customize every visual element, including session colors, line styles, and labels. Includes Light/Dark themes and precise timezone settings to match your trading environment. How to Use This Indicator 1. Setup & Configuration: Timezone: In the ⚙️ General Settings, set your UTC (+/-) offset to align the session boxes with your local time. SMT Auto-Pairing (One-Time Setup): Go to the ⚙️ SMT Auto-Pairing settings. Check Enable SMT Auto-Pairing. For each pair you trade, define the Primary ticker (the one on your chart) and the Correlated ticker. Be sure to check Inverse if required (e.g., EURUSD vs. DXY). This system now works automatically in the background. 2. Alert Configuration: Click the "Alert" button in TradingView. Set "Condition" to the script name: (XSN7) with SMT Divergence.... Select "Any alert() function call" and set the frequency to "Once Per Bar". In the script's 🚨 Alert & Sweeper Settings, check the boxes for the hours (NY Time) during which you want to receive sweep alerts.
Indicatore Pine Script®
di xsneako7
1
AQPRO ScalperX📝 INTRODUCTION AQPRO ScalperX is a trading indicator designed for fast-paced, intraday trading. It uses Donchian channel breakouts, combined with a proprietary filtering system, to catch buy and sell opportunities as close to the beginning as possible without losing quality of the signals. On top of core signals, ScalperX includes a real-time max profit tracker, a multi-timeframe (MTF) dashboard, support and resistance zones, and risk management visualization tools like automatic rendering of TP and SL lines. The indicator is fully customizable for both its visuals and functional settings. 🎯 PURPOSE OF USAGE This indicator was initially designed with the idea of trying to make such a tool, that would be able to catch trend reversal in the most safe way. In this particular situation term 'safe way' is very abstract and it is up to interpretation, but we decided that our definition will be 'trading with price breakouts' , meaning that we would like to capitalize on price breaking its previous structure in the direction opposite to the previous one. You can clearly see on the chart how buy and sell signals are going one after another on the screenshot below: This ensures that we follow trend consistently and without missing out on potential profits. Just like they say: " let the winners run ". Even though indicator with similar goals already exist in the open market, we believe that our proprietary algorithms and filters for determining price breakouts can make a big difference to traders, which employ similar strategies on daily basis, by helping them understand where are the potential high-quality breakouts might be. We haven't found indicator with exact same functionality as ours, which means that traders will be able to leverage an actually new tool to generate new price insights. In short, main goals of this indicator are as follows: Catching high-quality price breakouts, filtered to reduce the amount of choppy moves and false signals; Tracking potential profits in real-time, directly on trader's chart; Organizing data visualization of data pf latest signals from chosen asset from multiple timeframe in one dashboard; Automated highlighting of key support and resistance zones on the chart, which serve as confirmation for main signals; ⚙️ SETTINGS OVERVIEW Options for customization of this indicator are straightforward, but let's review them to make things certainly clear: 🔑 ScalperX / Main Settings Range — defines the "wideness" of the breakout boxes. Higher values create wider breakout zones and impact breakout sensitivity; Filter — adjusts the spacing between breakout boxes, determining the strictness of signal filtering. Higher values lead to more selective and rarer signals; Show Max Profit — displays a real-time line and label that updates when a trade achieves a new peak profit, measured in ticks. ⏰ MTF Signal / Main Settings Show MTF Signals — enables the generation of buy/sell signals from selected higher timeframes, displayed as labels on the current chart; Timeframe — specifies the higher timeframe to use for MTF signal detection, such as 1 hour (1h) or 4 hours (4h). 🗂️ MTF Dashboard / Main Settings Show MTF Dashboard — activates a dashboard that tracks entries, TP, SL, and overall trade bias for one selected symbol across four customizable timeframes; * Dashboard position ( Vertical ) — adjusts whether the dashboard appears on the Top, Middle, or Bottom of the chart; * Dashboard position ( Horizontal ) — aligns the dashboard Left, Center, or Right within the chart window; * the name of the parameter is hidden in the settings 🗂️ MTF Dashboard / Ticker Ticker to Track — Allows you to choose the specific ticker symbol (e.g., BINANCE:BTCUSDT) for MTF tracking. 🗂️ MTF Dashboard / Timeframes * Timeframe 1 — set the first timeframe for multi-timeframe analysis (e.g., 15 minutes); * Timeframe 2 — set the second timeframe for multi-timeframe analysis (e.g., 30 minutes); * Timeframe 3 — set the third timeframe for multi-timeframe analysis (e.g., 1 hour); * Timeframe 4 — set the fourth timeframe for multi-timeframe analysis (e.g., 4 hours). * the name of the parameter is hidden in the settings 🛡️ Risk Management / Main Settings Show TP&SL — displays dynamic lines and labels for the entry, Take Profit (TP), and Stop Loss (SL) of the most recent signal, updated in real-time until a new signal triggers; Risk-to-Reward Ratio (R:R) — defines the ratio for TP and SL calculation to control your risk and reward on every trade. 📐 Support & Resistance / Main Settings Show Support & Resistance Zones — enables dynamic zones based on pivot points, colored bullish or bearish based on price context; History Lookback — defines the number of bars to consider when calculating support and resistance levels. Increasing this results in zones derived from longer-term price structures. 🎨 Visual Settings / ScalperX Bullish Box — defines the color for bullish breakout boxes; Bearish Box — defines the color for bearish breakout boxes; Max Profit — sets the color for the max profit line on the chart. 🎨 Visual Settings / S&R Support — defines color used for standard support zones; Resistance — defines color used for standard resistance zones; Strong Support — defines special color for zones classified as "strong support"; Strong Resistance — defines special color for zones classified as "strong resistance". 🎨 Visual Settings / MTF Dashboard Bullish — sets the color for bullish trade states in the MTF dashboard; Bearish — sets the color for bearish trade states in the MTF dashboard. 🔔 Alerts / Main Settings Buy & Sell — toggles alerts for buy and sell signals detected by the indicator in the current chart timeframe; MTF Buy & Sell — toggles alerts for buy and sell signals detected across the selected MTF timeframes. 📈 APPLICATION GUIDE Application flow of this indicator very easy to understand and get used to, because all of the necessary elements — analysis, drawing, alert — are already automated by our algorithms. Let's review how the indicator works. Let's start with the most basic thing — how will your indicator look when you load it on your chart for the first time: AQPRO ScalperX consists mainly of 6 logic blocks: ScalperX signals; Risk visualization; Max Profit tracking; MTF scalper signals; MTF dashboard; Support & Resistance zones. Description of each logic block is provided in the corresponding sections below. SCALPERX SIGNALS Signals, generated by our indicator, are shown on the chart as coloured up/down triangle. When a signal appears on the chart, indicator also create a box of length equal to 'Range' parameter from "Main Settings" group of settings. This box is intended to show which area of the price was broken by current candle. It also important to acknowledge, the breakout itself happens only when price closes beyond broken price area with its close (!) price . Breakouts with highs or lows are not counted. This reduces the amount of low-quality signals and ensures that only the strong breakout will appear on the chart. VERY IMPORTANT NOTE: all signals are considered valid only on the close of the candle, which triggered the signal, so if you want to enter a trade by any signal, wait for its candle to close and open your trade right on the next candle. Talking about scalper's settings, we need to shed a light on how the changes in them affect signal's quality. Parameter 'Range' defines the amount of bars, that will be review prior to current candle to determine wether the price area of this bars is good enough to track and if current candle actually broke this price area. 👍 Rule of thumb : the higher the 'Range' is, the "wider" the boxes. Also the with the increase of this parameter rises the lag of the signals, so be carefully with setting high values to this parameter. See the visual showcase of signals with different 'Range' parameters on the screenshot below: The example above features two instancies of ScalperX with two different 'Range' parameter values: 15 (leftchart) and 5 (right chart). You can clearly see, that on left chart here are 2 signals in comparison to 6 signals on right chart. Also signals on the left side have bigger lag and they don't catch the start of the move in comparison to how quickly tops and bottoms are catched with low 'Range' . However, low 'Range' will lead to excessive amount of signals, quality of which during 'whipsaw' markets is not that great. ✉️ Our advice on how to optimally set 'Range' parameter: Use low values to trade during the times, when there are a lot of clean up and down impulses. This way you will catch reversal opportunities sooner and the quality of the signals will still be great; Use high values on the 'whipsaw' markets. This will filter out many bad signals, that you would get with low-value 'Range' , and will drastically reduces amount of losing trades. Talking about the 'Filter' parameter, this particular setting defines the 'strictness' of rules which will be applied to price area validation process. Essentially, the higher this parameter is, the stronger price impulse has to be confirm the breakout. However, changes in this parameter will not impact the "wideness" of boxes at all. 👍 Rule of thumb : the higher the 'Filter' is, the more separated the signal will be. Setting this parameter to high value will lead to increase in lag and big reduction in amount of signals, so be careful this parameter to high values. See the visual showcase of signals with different 'Filter' parameters on the screenshot below: The example above features two instancies of ScalperX with two different 'Filter' parameter values: 20 (left chart) and 2.5 (right chart). You can clear see, that low 'Filter' generated 6 signals, while higher one generated only 4 signals. However if you look closer, you will see that 2 signals, that existing in the yellow dashed area on the right chart, don't exist in the same area on the left chart. This is because high value of this parameter requires price impulse to be very strong in order for the indicator to mark this breakout as a valid one. What is more important is that these 2 'missing' signals were actually bad and, technically, we actually cut our losses in this case with high value of 'Filter' . You can see that the leftmost sell signal on the left chart eventually closed in a nice profit, in comparison to the same trade being closed in a loss on the right chart because of the 2 signals that we were talking about above. It is important to note, that setting 'Filter' to low values will not affect performance this much as it low value of 'Range' do, because the indicator already works on low values of this parameter by default and the signals on average are already good enough for trading. ✉️ Our advice on how to optimally set 'Filter' parameter: Use low values to trade on the markets with clean up and down impulses. This way you avoid excessive filtering and leave a room for good signals to come right at you; Use high values to trade on 'whipsaw' markets. Higher values of this parameter on these markets have same effect as high 'Range' parameter: filtering false signals and leaving room for actually strong price impulses, which you will later capitalize on. RISK VISUALIZATION (TP&SL) Rendering Take-Profits and Stop-Losses in our indicator works quite simple: for each new trade indicator creates new pairs of lines and labels for TP and SL, while lines & labels from previous trade are erased for aesthetics purposes. Each label shows price coordinates, so that each trader would be able to grap the numbers in seconds. See the visual showcase of TP & SL visualization on the screenshot below: Also, whenever TP or SL of the current trade is reached, drawing of both TP and SL stops. When the TP is reached, additional '✅' emoji on the TP price is shown as confirmation of Take-Profit. However, while TP or SL has not been reached, TP&SL labels and lines will be prolonged until one of them will be reached or new signals will come. See the visual showcase of TP & SL stopping being visualized & TP on the screenshot below: MAX PROFIT TRACKING This mechanic is not particularly a new one in field of trading, but people usually forgot that it can be a useful indicator of state of the market: when lines and labels of Max Profit are far from entry points on consistent basis , it usually means that indicator's signals actually can catch a beginning of good price moves, which enables trader to capitalize on them; when lines and labels of Max Profit are close to entry points on consistent basis , it means that either market is choppy or the indicator can't catch trading opportunities in time. To 'fix' this you can try to reconfigure scalper's parameters, which were described above. Principles of Max Profit in this indicator are of industry-standard: when price updates its extremum and 'generates' more profit than it previously did, Max Profit label and line change their position to this extremum. Max Profit label displays the maximum potential amount of profit that a trader could have got during this trade in pips (!) . See the visual showcase of Max Profit work on the screenshot below: MTF SCALPER SIGNALS The principles of these signals are exactly the same as principles for classic Scalper signals. Refer to 'Scalper Signals' section above to rehearse the knowledge. Logic behind these signals is very simple: We take classic Scalper signals; We request the data about these latest signals from specific other timeframe ( user can choose it in the settings ); If such signals appeared, we display it on the chart as a big label with timeframe value inside of it. In comparison to classic signals, no additional boxes are created . TP&SL functionality doesn't cover MTF signals, so don't expect to see TP&SL lines and labels for MTF signals. See the visual showcase of MTF Scalper signals on the screenshot below: MTF DASHBOARD The functionality of the dashboard is pretty simple, but it makes the dashboard itself a very powerful tool in a hands of experienced trader. Let's review structure of MTF dashboard on the screenshot below: The important feature of MTF dashboard is that its tracks latest trade's data from a particular ticker and its four timeframes, all of which any trader chooses in the settings. This means, that you can be on asset ABC , but track the data from asset XYZ . This allows for a quick scan of sentiment from different assets and their timeframes, which gives traders a clue on what is the trend on these assets both on lower and higher timeframes at the same moment and saves a lot of time from jumping from one asset & timeframe to another. To see that this is exactly the case with our indicator, see the screenshot below: Needless to say, that you can track current asset in the dashboard as well. This will have the same benefits, described in the paragraph above. You can also customize colours for bullish and bearish patterns for MTF Dashboard in the settings. SUPPORT & RESISTANCE ZONES Support & resistance (S&R) zones are a great tool for confirming Scalper signals in complex situations. Using these zones to determine whether or a particular entry opportunity is good is a practice of professional traders, which we specifically added to our indicator for the reason of improving the quality of Scalper signals in long run. The mechanics behind these zones is based on pivot points, the lookback for which you can customize in the parameter called 'History Lookback (Bars)' in "Support & Resistance / Main Settings" group of settings. Increasing this parameter will lead to a appearance of more 'global' zones, but they will appear much rarer, rather then zones, generated with low values of this parameter. The quality of these zones doesn't change much when changing this parameter — it only changes the frequency of the zones on the chart. Zones, generated from high values of this parameter are more suitable for long-term trading, while zones, generated from low value of this parameter, are more suitable for short-term trading. It also important to mention that any zone on the chart is considered active only until the moment its farther border ( top border for resistance zones and bottom border for support zones) is reached by price's high or low . Take a look on the screenshot below to see which zones does the indicator draw: Let's review the zones themselves now: Classic Support/Resistance Zone — a standard zone, which on average has amedium success rate to reverse the price when collided with it; High-buyer-volume/High-seller-volume Support/Resistance Zone — a stronger zone, which on average has much better success rate to reverse the price when collided with it. Classic zone is marked as high-volume only if the up/down volume near the pivot point of this zone is greater than a certain threshold ( not changeable ); Extreme Support/Resistance Zone — a zone, which appeared beyond price's least-possible-to-cross levels, and has to the highest success rate of reversing the price on encounter across the zones, mentioned previously. Classic zone, which appeared beyond certain price levels, calculated with our proprietary risk system, is considered extreme. Classic zone doesn't need to be high-volume to become an Extreme Zone! High-buyer-volume/High-seller-volume Extreme Support/Resistance Zone — an Extreme Zone, which has also passed up/down volume evolution process, mentioned in the point 2 . Trading with the zones, mentioned above, with highest-on-paper success rate — especially Extreme Zones — does NOT guarantee you a price reversal when the price will reach this zone. However, by conducting our own extensive research with this indicator, we have found that using these zone will actually help you increase your success rate on average, because using these zones as confirmation systems filter out quite a number of false signals on average. It is also important to mention, that opacity (same as 'transparency') of S&R zones depends on the volume of around zone's pivot point: if volume is high , zone has 'brighter' (less opacity) colour; if volume is low , zone has 'darker' (more opacity) colour. Let's review examples of Scalper signal, which 1) where filtered out by our S&R zones and 2) where confirmed by our S&R zones. See the screenshot below: The example above clearly shows the importance of having an S&R zone confirming the signal. This kind of 'team work' between of Scalper signals and S&R zones results in filtering lots of bad signals and confirmation of truly strong ones. 🔔 ALERTS This indicator employs alerts for an event when new signal occurs on the current timeframe or on MTF timeframe. While creating the alert below 'Condition' field choose 'any alert() function call'. When this alert is triggered, it will generate this kind of message: // Alerts for current timeframe string msg_template = "EXCHANGE:ASSET, TIMEFRAME: BUY_OR_SELL" string msg_example = "BINANCE:BTCUSDT, 15m: Buy" // Alerts for MTF timeframe string msg_template_mtf = "MTF / EXCHANGE:ASSET, TIMEFRAME: BUY_OR_SELL" string msg_example_mtf = "MTF / BINANCE:BTCUSDT, 1h: Buy" 📌 NOTES This indicators works best on assets with high liquidity; most suitable timeframes range from 1m to 4h (depends on your trading style) ; Seriously consider using S&R zones as confirmation to main Scalper signals or any of your own signals. Confirmation process may filter out a lot of signals, but your PNL History will say "thank you" to you in the long-run and you will see yourself how good confirmed signals actually do work; Don't forget to look at MTF dashboard from time to time to see global sentiment. This will help you time your entry moments better and will improve your performance in the long run; This indicator can serve both as primary source of signals and as confirmation tool, but we advise to try to combine it with your own strategy frst to see if it will improve your performance. 🏁 AFTERWORD AQPRO ScalperX was designed to help traders identify high-quality price breakouts and generate market insights based on them, which include signal generation. Main feature of this indicator is Scalper algorithm, which generate price-breakout-based signals directly on your chart. Alongside these signals you can leverage 1) MTF Dashboard to track latest trade's data from chosen asset and its four timeframes, 2) risk visualization functionality (TP&SL) to improve understanding of current market risks and 3) Support & Resistance zones, which serve as a great confirmation tool for Scalper signals, but can also work with any other signal generation tool to enhance its performance. ℹ️ If you have questions about this or any other our indicator, please leave it in the comments.
Indicatore Pine Script®
di AlQuantumPro
1
ReversoReverso – Moving Average Touch Statistics Tracker Reverso indicator is a technical analysis tool that tracks and visualizes how price interacts with a selected Exponential Moving Average (EMA). It provides detailed statistics about price behavior before, during, and after each EMA touch event. This script is suitable for both trend-following and mean-reversion traders who want to study EMA reactions, understand market tendencies, and refine entry/exit strategies based on price-memory dynamics. Features and Functionality Supported MAs: EMA 9, 20, or 50 Timeframe Support: Uses the chart’s timeframe Touch Detection: Triggered when the price range (high to low) crosses or touches the EMA Automatic Data Tracking Tables for Quick Visual Summary Visual Overlay: Optional EMA line plotted on chart Timeframe Support: Uses the chart’s timeframe Capped history: Most recent 50 touches Automatic Data Tracking: Number of EMA touches Time intervals between touches Price distance from last touch Maximum price deviation (above/below EMA) between touches Time spent above/below EMA Tables for Quick Visual Summary: Info Table: Live details about last and first touches, distance from touch, bars above/below, peak movements since last touch Stats Table: Averages and extreme values for price behavior patterns across recent history Core Metrics Tracked Last Touch Price: The last price level where price touched the EMA Distance from Last Touch: Current % change from the last touch price Time Between Touches: Average and maximum intervals (in bars or time) between touch events Max Distance Above/Below: Peak movement above/below EMA between touches Bars Above/Below: How long price stayed above/below the EMA since last touch Peak This Cycle: Max deviation above/below in current cycle since last touch How It Works Reverso monitors each bar to check if price intersects the selected EMA. When a new touch occurs, it records the touch price and time, and resets the tracking cycle. From that point forward, it tracks how far and how long price drifts above or below the EMA. This process repeats with each new touch, building a detailed profile of how price behaves around the moving average. The result is a visual and statistical framework for understanding price memory, market rhythm, and mean-reversion opportunities. Customization Options EMA Length: Choose from EMA 9, 20, or 50 Show MA Line: Toggle the EMA plot on the chart Show Info Table: Enable/disable the current-touch summary Show Statistics Table: Show aggregate data over the history Table Positioning: Customizable placement for both tables MA Color: Select custom color for EMA plot Intended Use Cases Identify reversal or continuation setups near EMAs Validate strategies relying on mean reversion Backtest the consistency of price respect to EMAs Detect periods of volatility clustering around EMAs Notes and Disclaimers This script does not repaint: calculations are made on confirmed bars. This indicator is educational in nature and should be used alongside other forms of analysis. Time durations in the tables are approximated using bar timing and may vary across markets/timeframes.
Indicatore Pine Script®
di KatherinaNote
Momentum Pull Back Stratergy"Master Pull Back Strategy" is a highly detailed momentum and volume-based trading system designed for Trading View. It visually annotates the chart, detects buy/sell signals, tracks market phases, and evaluates retracements and confirmations. Below is a full breakdown of its logic and components: 🔷 1. Volume Profile Highlights (Arrow Emojis) Purpose: Show volume strength vs. average using color-coded arrows. Calculates average volume over a user-defined period (length = 10). Divides current volume by average volume to get volRatio. Based on volRatio, plots small arrows (acting like diamonds) in various colors: Low volume (black, navy, blue...) to high volume (yellow, red, purple). Visual Purpose: Give a quick sense of how "loud" or "quiet" a candle's volume is. 📈 2. Highs of Day Tracking Purpose: Track the high price reached during different trading sessions. Defines pre-market, regular, and post-market sessions. Tracks the highest price (high) in each session. Plots colored lines: Orange: Pre-market high Red: Regular market high Blue: Post-market high 🟩 3. Green Candle Pattern Detection Purpose: Detect bullish patterns formed by consecutive green candles. Key Conditions: Count green candles (greenCount) until a red candle appears or 10 candles max. Require at least 1 silver-or-above volume candle (volRatio >= 1.0). Must have ≥3% price gain during the green sequence. Must accumulate >20,000 volume during the green run. If Valid: Locks the pattern. Records important values: patternStartPrice, patternEndPrice, totalPatternVolume, patternHigh, patternBars Marks the bar after which red starts (redStartBar) ⬇️ 4. Retracement Monitoring Purpose: Track retracement from the pattern high after it locks. Defines retracement percentage: (greenPatternHigh - low) / (greenPatternHigh - greenPatternLow) If retracement exceeds 80%, it invalidates the pattern. Buy signal is disabled if pattern retraces too far. ✅ 5. Buy Signal Logic Purpose: Fire a buy signal after pattern lock if price breaks above local high. Conditions: Pattern is locked (patternLocked). Price breaks above a short-term high (triggerBreak). It's not the first red candle. Price is within 8.5% above EMA9. Buy signal fires and: Sets buyActive = true Tracks highest price after buy Stores buyPrice = close ❌ 6. Sell Signal Logic Purpose: Exit signal after retracement from post-buy high. While buy is active: If price retraces ≥3% from the post-buy high → sellSignal = true Resets buyActive, trackedHigh, and buyPrice Plots a red "SELL" label above the bar. 🎨 7. Buy Signal Visual Color Coding Purpose: Color buy signal based on how deep the retracement is. Uses retracement percentage: ≥65% → Red (high risk) 45–65% + MACD bullish → Yellow (moderate) <45% + MACD bullish → Green (ideal) Plots BUY label below bar in the respective color. 🔻 8. Retracement Triangle Visuals Purpose: Shows retracement progression while pattern is locked. If pattern is locked and not ready for buy: Plots triangle below bar in the buyColor for visual tracking. ⭐ 9. Star Markers Above Lock Candle Purpose: Confirmations when pattern locks. First Star: Plotted above the first red candle after green pattern lock. Second Star (⭐⭐): Additional confirmations: Volume OK (less than previous) MACD bullish Price > VWAP VolAtLock > 100K Price up >6% from first green candle Price below 75% of daily EMA200 or above EMA200 Third Star (⭐⭐⭐): Even stricter confirmations: Volume < 60% of previous High <= previous high VolAtLock > 500K Price > $3 Gain >9% from first green Price < 50% of daily EMA200 or above EMA200 📊 10. Bar Coloring Purpose: Visually highlight bars based on pattern phase and MACD. Gray: MACD Bearish Light Green: Part of active green pattern Blue: In locked phase but no buy triggered 🔄 11. Reset Logic Purpose: Clears all tracking variables once a buy signal fires or pattern is invalidated. Also resets if: Retracement is too deep 10 candles pass post-lock without a trigger ⛰️ 12. Double Top Detection Purpose: Basic visual marker when current high == previous high. Plots a gray triangle if current and previous bar highs match. 📌 Summary: What This Strategy Shows Buy Opportunities: Based on high-volume green runs and confirmed breakouts. Sell Triggers: Once a retracement from peak exceeds 3%. Visuals for Confirmation: Diamonds for volume Stars for lock confidence Colors for retracement strength Risk Management: Retracement filtering Time limits on locked phases Volume filters Market Context: Tracks pre/regular/post market highs and daily EMA 200.
Strategia Pine Script®
di samcrosby63