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POWER INDICATOR - PRO PREMIUM by OeZKAN 👑 POWER INDICATOR PRO PREMIUM V24: Predictive Intelligence Meets Precision ExecutionThe POWER INDICATOR PRO PREMIUM V24 is the pinnacle of algorithmic trading intelligence. This system transcends traditional indicators by utilizing a sophisticated framework of advanced mathematical equations to predict the impending trend direction before the market moves. It combines Smart Money Concepts (SMC), Multi-Timeframe (MTF) convergence, and Dynamic Risk Management to deliver unparalleled clarity and execution confidence.If you seek a trading partner that provides leading, predictive signals and high-probability entries, this system is your definitive solution.🧠 The Core Element: Predictive Market Context & Directional ForecastThe foundational strength of the POWER INDICATOR is its ability to forecast the market's bias through advanced quantification:🚀 Directional Pre-Cognition (LRC & Mathematical Models):The system utilizes the Linear Regression Curve (LRC) and proprietary statistical models as its core mathematical engine. This process extrapolates the probable trend path and generates a Directional Forecast for the coming bars, enabling you to anticipate moves rather than react to them. This forecast serves as the ultimate bias filter.🧠 The Convictional Filter: Quantifying Probability ($60\%$ Confidence):This filter is our proprietary Probability Brain. It eliminates market noise by forcing convergence across multiple high-level factors (MTF agreement, Momentum, SMC levels).High-Conviction Threshold: Independent analysis confirms that the Conviction Filter provides an exceptionally high win rate and signal quality starting at just $60\%$. Setting your threshold at this level ensures you only consider trades where the predictive mathematical components are in strong alignment.🌊 FVG & GP Predictive Zones:The system automatically identifies and projects critical Fair Value Gaps (FVG/LSOB) and the Golden Pocket (GP) Re-Test Zone. These zones are algorithmically identified as high-probability targets for pullbacks and reversals, providing a clear map of where liquidity will be sought.💡 The Convictional Trading Workflow: A 3-Step Guide to ExecutionContext Check: Confirm the LRC Directional Forecast aligns with your trade and the Conviction Score Meter is above your desired threshold (minimum $60\%$).Optimal Entry: Wait for the signal to trigger at a high-R:R entry point (GP, FVG, or Aggressive Impulse), guided by your chosen trading mode.Dynamic Management: Let the system handle risk, utilizing Structural SL and automatic Multi-Method Trailing Stops post-TP1.🎯 Mode Selection: Matching Strategy to MarketThe indicator's power lies in its Modularity. Selecting the correct mode is crucial for optimizing your results.Trading StyleRecommended ModesPrimary Rationale & Entry LogicHigh-Frequency ScalpingCT Scalp-OnlyDesigned for counter-trend entries in a pullback towards the Golden Pocket (GP). Uses tighter SL/TP multipliers for quick profit-taking. (Fast, high-R:R)ATR Channel Scalp (ACS)Utilizes volatility channels (ATR bands) for quick mean-reversion trades when price overextends.Strategic Day Trading / Swing TradingUltimate Fusion Mode (UFM)The highest probability mode. Best for catching major shifts confirmed by SMC (LRC, GP, FVG, MSS). Waits for a deep, high-R:R Re-Test Entry.Haupttrend & Scalp (Kombi)Excellent general-purpose mode. Focuses on trend continuation but allows for high-R:R pullback entries at key levels (GP/FVG). (Balanced)FVG Mitigation Entry (FME)Ideal for SMC traders. Waits for the price to precisely re-test and mitigate an unmitigated Fair Value Gap (FVG) or Liquidity Sweep (LSOB) zone before entry.Breakout & Momentum TradingBand Breakout-OnlyTriggers an entry only when price decisively breaks outside the SMA Volatility Bands (configurable). Filtered by momentum requirements.Dynamic Range Expansion (DRE)Specifically detects low-volatility consolidation before an anticipated high-momentum expansion phase.🔔 The Master Alert System: Your Execution EdgeThe powerful Alert functionality ensures you can monitor multiple assets and timeframes without being glued to the screen.1. ✅ Dynamic MASTER ALARM (Compact Text)The core alert uses a compact, dynamic JSON/text message that contains all necessary information for quick execution:Action: BUY / SELLMode Used: Conviction Score: Key Level: 2. LRC/GP Combo-Alert (High-R:R)This is the most valuable alert for strategic traders. It triggers only when the LRC direction is confirmed and the price enters the Golden Pocket (GP) Re-Test Zone, indicating an optimal high-R:R pullback opportunity.Final Note: To maximize the predictive power, ensure the useConvictionFilter is set to a minimum of $60\%$ and the useStructureSL is activated to protect your capital with intelligent stop placement.Stop reacting. Start predicting. Activate the POWER INDICATOR PRO PREMIUM V24 and lead the market today!
Chỉ báo Pine Script®
của Oezkan1983
Optimized BTC Mean Reversion (RSI 20/65)📈 Optimized BTC Mean Reversion (RSI 20/65) Optimized BTC Mean Reversion (RSI 20/65) is a rule-based trading strategy designed to capture mean-reversion moves in strong market structures, primarily optimized for Bitcoin, but adaptable to other liquid cryptocurrencies. The strategy combines RSI extremes, Stochastic momentum, and EMA trend filtering to identify high-probability reversal zones while maintaining strict risk management. 🔍 Strategy Logic This system focuses on entering trades when price temporarily deviates from equilibrium, while still respecting the broader trend. ✅ Long Conditions RSI below 20 (oversold) Stochastic below 25 Price trading above the 200 EMA (or within a controlled deviation) Designed to buy sharp pullbacks in bullish conditions ❌ Short Conditions RSI above 65 (overbought) Stochastic above 75 Price trading below the 200 EMA Designed to sell relief rallies in bearish conditions 🛡 Risk Management Fixed Stop Loss: 4% Fixed Take Profit: 6% Risk/Reward: 1 : 1.5 No pyramiding (single position at a time) Full equity position sizing (adjustable) All exits are predefined at entry, ensuring consistency and emotional discipline. 📊 Indicators Used 200 EMA – Trend direction filter RSI (14) – Mean-reversion trigger (20 / 65 levels) Stochastic Oscillator – Momentum confirmation 👁 Visual Features EMA plotted directly on chart Real-time Stop Loss, Take Profit, and Entry Price lines Clear long/short entry markers Works on all timeframes (optimized for intraday and swing trading) 🔔 Alerts Long entry alerts Short entry alerts (Perfect for automation or discretionary execution) ⚠️ Disclaimer This strategy is intended for educational and research purposes only. Past performance does not guarantee future results. Always test on a demo account and adjust risk parameters to your own trading plan.
Chiến lược Pine Script®
của malli_007
Pro trade by Amit// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) creativecommons.org //@version=5 import HeWhoMustNotBeNamed/utils/1 as ut import Trendoscope/ohlc/1 as o import Trendoscope/LineWrapper/1 as wr import Trendoscope/ZigzagLite/2 as zg import Trendoscope/abstractchartpatterns/5 as p import Trendoscope/basechartpatterns/6 as bp indicator("Installing Wait....", "Automatic Chart Pattern", overlay = true, max_lines_count=500, max_labels_count=500, max_polylines_count = 100) openSource = input.source(open, '', inline='cs', group='Source', display = display.none) highSource = input.source(high, '', inline='cs', group='Source', display = display.none) lowSource = input.source(low, '', inline='cs', group='Source', display = display.none) closeSource = input.source(close, '', inline='cs', group='Source', display = display.none, tooltip = 'Source on which the zigzag and pattern calculation is done') useZigzag1 = input.bool(true, '', group = 'Zigzag', inline='z1', display = display.none) zigzagLength1 = input.int(8, step=5, minval=1, title='', group='Zigzag', inline='z1', display=display.none) depth1 = input.int(55, "", step=25, maxval=500, group='Zigzag', inline='z1', display=display.none, tooltip = 'Enable and set Length and Dept of Zigzag 1') useZigzag2 = input.bool(false, '', group = 'Zigzag', inline='z2', display = display.none) zigzagLength2 = input.int(13, step=5, minval=1, title='', group='Zigzag', inline='z2', display=display.none) depth2 = input.int(34, "", step=25, maxval=500, group='Zigzag', inline='z2', display=display.none, tooltip = 'Enable and set Length and Dept of Zigzag 2') useZigzag3 = input.bool(false, '', group = 'Zigzag', inline='z3', display = display.none) zigzagLength3 = input.int(21, step=5, minval=1, title='', group='Zigzag', inline='z3', display=display.none) depth3 = input.int(21, "", step=25, maxval=500, group='Zigzag', inline='z3', display=display.none, tooltip = 'Enable and set Length and Dept of Zigzag 3') useZigzag4 = input.bool(false, '', group = 'Zigzag', inline='z4', display = display.none) zigzagLength4 = input.int(34, step=5, minval=1, title='', group='Zigzag', inline='z4', display=display.none) depth4 = input.int(13, "", step=25, maxval=500, group='Zigzag', inline='z4', display=display.none, tooltip = 'Enable and set Length and Dept of Zigzag 4') numberOfPivots = input.int(5, "Number of Pivots", , 'Number of pivots used for pattern identification.', group='Scanning', display = display.none) errorThresold = input.float(20.0, 'Error Threshold', 0.0, 100, 5, 'Error Threshold for trend line validation', group='Scanning', display = display.none) flatThreshold = input.float(20.0, 'Flat Threshold', 0.0, 30, 5, 'Ratio threshold to identify the slope of trend lines', group='Scanning', display = display.none) lastPivotDirection = input.string('both', 'Last Pivot Direction', , 'Filter pattern based on the last pivot direction. '+ 'This option is useful while backtesting individual patterns. When custom is selected, then the individual pattern last pivot direction setting is used', group='Scanning', display=display.none) checkBarRatio = input.bool(true, 'Verify Bar Ratio ', 'Along with checking the price, also verify if the bars are proportionately placed.', group='Scanning', inline = 'br', display = display.none) barRatioLimit = input.float(0.382, '', group='Scanning', display = display.none, inline='br') avoidOverlap = input.bool(true, 'Avoid Overlap', group='Scanning', inline='a', display = display.none) repaint = input.bool(false, 'Repaint', 'Avoid Overlap - Will not consider the pattern if it starts before the end of an existing pattern '+ 'Repaint - Uses real time bars to search for patterns. If unselected, then only use confirmed bars.', group='Scanning', inline='a', display = display.none) allowChannels = input.bool(true, 'Channels', group='Pattern Groups - Geometric Shapes', display = display.none, inline='g') allowWedges = input.bool(true, 'Wedge', group='Pattern Groups - Geometric Shapes', display = display.none, inline='g') allowTriangles = input.bool(true, 'Triangle', group='Pattern Groups - Geometric Shapes', display = display.none, inline='g', tooltip = 'Channels - Trend Lines are parralel to each other creating equidistance price channels'+ ' \t- Ascending Channel \t- Descending Channel \t- Ranging Channel'+ ' Wedges - Trend lines are either converging or diverging from each other and both the trend lines are moving in the same direction'+ ' \t- Rising Wedge (Expanding) \t- Rising Wedge (Contracting) \t- Falling Wedge (Expanding) \t- Falling Wedge (Contracting)'+ ' Triangles - Trend lines are either converging or diverging from each other and both trend lines are moving in different directions'+ ' \t- Converging Triangle \t- Diverging Triangle \t- Ascending Triangle (Contracting) \t- Ascending Triangle (Expanding) \t- Descending Triangle(Contracting) \t- Descending Triangle(Expanding)') allowRisingPatterns = input.bool(true, 'Rising', group='Pattern Groups - Direction', display = display.none, inline = 'd') allowFallingPatterns = input.bool(true, 'Falling', group='Pattern Groups - Direction', display = display.none, inline = 'd') allowNonDirectionalPatterns = input.bool(true, 'Flat/Bi-Directional', group='Pattern Groups - Direction', display = display.none, inline = 'd', tooltip = 'Rising - Either both trend lines are moving up or one trend line is flat and the other one is moving up.'+ ' \t- Ascending Channel \t- Rising Wedge (Expanding) \t- Rising Wedge (Contracting) \t- Ascending Triangle (Expanding) \t- Ascending Triangle (Contracting)'+ ' Falling - Either both trend lines are moving down or one trend line is flat and the other one is moving down.'+ ' \t- Descending Channel \t- Falling Wedge (Expanding) \t- Falling Wedge (Contracting) \t- Descending Triangle (Expanding) \t- Descending Triangle (Contracting)'+ ' Flat/Bi-Directional - Trend Lines move in different directions or both flat.'+ ' \t- Ranging Channel \t- Converging Triangle \t- Diverging Triangle') allowExpandingPatterns = input.bool(true, 'Expanding', group='Pattern Groups - Formation Dynamics', display = display.none, inline = 'f') allowContractingPatterns = input.bool(true, 'Contracting', group='Pattern Groups - Formation Dynamics', display = display.none, inline='f') allowParallelChannels = input.bool(true, 'Parallel', group = 'Pattern Groups - Formation Dynamics', display = display.none, inline = 'f', tooltip = 'Expanding - Trend Lines are diverging from each other.'+ ' \t- Rising Wedge (Expanding) \t- Falling Wedge (Expanding) \t- Ascending Triangle (Expanding) \t- Descending Triangle (Expanding) \t- Diverging Triangle'+ ' Contracting - Trend Lines are converging towards each other.'+ ' \t- Rising Wedge (Contracting) \t- Falling Wedge (Contracting) \t- Ascending Triangle (Contracting) \t- Descending Triangle (Contracting) \t- Converging Triangle'+ ' Parallel - Trend Lines are almost parallel to each other.'+ ' \t- Ascending Channel \t- Descending Channel \t- Ranging Channel') allowUptrendChannel = input.bool(true, 'Ascending  ', group = 'Price Channels', inline='uc', display = display.none) upTrendChannelLastPivotDirection = input.string('both', '', , inline='uc', group='Price Channels', display = display.none, tooltip='Enable Ascending Channel and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowDowntrendChannel = input.bool(true, 'Descending', group = 'Price Channels', inline='dc', display = display.none) downTrendChannelLastPivotDirection = input.string('both', '', , inline='dc', group='Price Channels', display = display.none, tooltip='Enable Descending Channel and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowRangingChannel = input.bool(true, 'Ranging   ', group = 'Price Channels', inline='rc', display = display.none) rangingChannelLastPivotDirection = input.string('both', '', , inline='rc', group='Price Channels', display = display.none, tooltip='Enable Ranging Channel and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowRisingWedgeExpanding = input.bool(true, 'Rising    ', inline='rwe', group = 'Expanding Wedges', display = display.none) risingWedgeExpandingLastPivotDirection = input.string('down', '', , inline='rwe', group='Expanding Wedges', display = display.none, tooltip='Enable Rising Wedge (Expanding) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowFallingWedgeExpanding = input.bool(true, 'Falling   ', inline='fwe', group = 'Expanding Wedges', display = display.none) fallingWedgeExpandingLastPivotDirection = input.string('up', '', , inline='fwe', group='Expanding Wedges', display = display.none, tooltip='Enable Falling Wedge (Expanding) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowRisingWedgeContracting = input.bool(true, 'Rising    ', inline='rwc', group = 'Contracting Wedges', display = display.none) risingWedgeContractingLastPivotDirection = input.string('down', '', , inline='rwc', group='Contracting Wedges', display = display.none, tooltip='Enable Rising Wedge (Contracting) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowFallingWedgeContracting = input.bool(true, 'Falling   ', inline='fwc', group = 'Contracting Wedges', display = display.none) fallingWedgeContractingLastPivotDirection = input.string('up', '', , inline='fwc', group='Contracting Wedges', display = display.none, tooltip='Enable Falling Wedge (Contracting) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowRisingTriangleExpanding = input.bool(true, 'Ascending  ', inline='rte', group = 'Expanding Triangles', display = display.none) risingTriangleExpandingLastPivotDirection = input.string('up', '', , inline='rte', group='Expanding Triangles', display = display.none, tooltip='Enable Ascending Triangle (Expanding) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowFallingTriangleExpanding = input.bool(true, 'Descending', inline='fte', group = 'Expanding Triangles', display = display.none) fallingTriangleExpandingLastPivotDirection = input.string('down', '', , inline='fte', group='Expanding Triangles', display = display.none, tooltip='Enable Descending Triangle (Expanding) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowExpandingTriangle = input.bool(true, 'Diverging ', inline='dt', group = 'Expanding Triangles', display = display.none) divergineTriangleLastPivotDirection = input.string('both', '', , inline='dt', group='Expanding Triangles', display = display.none, tooltip='Enable Diverging Triangle and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowRisingTriangleConverging= input.bool(true, 'Ascending  ', inline='rtc', group = 'Contracting Triangles', display = display.none) risingTriangleContractingLastPivotDirection = input.string('up', '', , inline='rtc', group='Contracting Triangles', display = display.none, tooltip='Enable Ascending Triangle (Contracting) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowFallingTriangleConverging = input.bool(true, 'Descending', inline='ftc', group = 'Contracting Triangles', display = display.none) fallingTriangleContractingLastPivotDirection = input.string('down', '', , inline='ftc', group='Contracting Triangles', display = display.none, tooltip='Enable Descending Triangle (Contracting) and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowConvergingTriangle = input.bool(true, 'Converging ', inline='ct', group = 'Contracting Triangles', display = display.none) convergingTriangleLastPivotDirection = input.string('both', '', , inline='ct', group='Contracting Triangles', display = display.none, tooltip='Enable Converging Triangle and select the last pivot direction filter. Last pivot direction will only be used if the Generic Last Pivot Direction parameter is set to Custom') allowedPatterns = array.from( false, allowUptrendChannel and allowRisingPatterns and allowParallelChannels and allowChannels, allowDowntrendChannel and allowFallingPatterns and allowParallelChannels and allowChannels, allowRangingChannel and allowNonDirectionalPatterns and allowParallelChannels and allowChannels, allowRisingWedgeExpanding and allowRisingPatterns and allowExpandingPatterns and allowWedges, allowFallingWedgeExpanding and allowFallingPatterns and allowExpandingPatterns and allowWedges, allowExpandingTriangle and allowNonDirectionalPatterns and allowExpandingPatterns and allowTriangles, allowRisingTriangleExpanding and allowRisingPatterns and allowExpandingPatterns and allowTriangles, allowFallingTriangleExpanding and allowFallingPatterns and allowExpandingPatterns and allowTriangles, allowRisingWedgeContracting and allowRisingPatterns and allowContractingPatterns and allowWedges, allowFallingWedgeContracting and allowFallingPatterns and allowContractingPatterns and allowWedges, allowConvergingTriangle and allowNonDirectionalPatterns and allowContractingPatterns and allowTriangles, allowFallingTriangleConverging and allowFallingPatterns and allowContractingPatterns and allowTriangles, allowRisingTriangleConverging and allowRisingPatterns and allowContractingPatterns and allowTriangles ) getLastPivotDirectionInt(lastPivotDirection)=>lastPivotDirection == 'up'? 1 : lastPivotDirection == 'down'? -1 : 0 allowedLastPivotDirections = array.from( 0, lastPivotDirection == 'custom'? getLastPivotDirectionInt(upTrendChannelLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(downTrendChannelLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(rangingChannelLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(risingWedgeExpandingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(fallingWedgeExpandingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(divergineTriangleLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(risingTriangleExpandingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(fallingTriangleExpandingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(risingWedgeContractingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(fallingWedgeContractingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(convergingTriangleLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(fallingTriangleContractingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection), lastPivotDirection == 'custom'? getLastPivotDirectionInt(risingTriangleContractingLastPivotDirection) : getLastPivotDirectionInt(lastPivotDirection) ) theme = input.string('Dark', title='Theme', options= , group='Display', inline='pc', tooltip='Chart theme settings. Line and label colors are generted based on the theme settings. If dark theme is selected, '+ 'lighter colors are used and if light theme is selected, darker colors are used. '+ 'Pattern Line width - to be used for drawing pattern lines', display=display.none) patternLineWidth = input.int(2, '', minval=1, inline='pc', group = 'Display', display = display.none) showPatternLabel = input.bool(true, 'Pattern Label', inline='pl1', group = 'Display', display = display.none) patternLabelSize = input.string(size.normal, '', , inline='pl1', group = 'Display', display = display.none, tooltip = 'Option to display Pattern Label and select the size') showPivotLabels = input.bool(true, 'Pivot Labels ', inline='pl2', group = 'Display', display = display.none, tooltip = 'Option to display pivot labels and select the size') pivotLabelSize = input.string(size.normal, '', , inline='pl2', group = 'Display', display = display.none) showZigzag = input.bool(true, 'Zigzag', inline='z', group = 'Display', display = display.none) zigzagColor = input.color(color.blue, '', inline='z', group = 'Display', display = display.none, tooltip = 'Option to display zigzag within pattern and the default zigzag line color') deleteOldPatterns = input.bool(true, 'Max Patterns', inline='do', group = 'Display', display = display.none) maxPatterns = input.int(20, '', minval=1, step=5, inline = 'do', group = 'Display', display = display.none, tooltip = 'If selected, only last N patterns will be preserved on the chart.') errorRatio = errorThresold/100 flatRatio = flatThreshold/100 showLabel = true offset = 0 type Scanner bool enabled string ticker string timeframe p.ScanProperties sProperties p.DrawingProperties dProperties array patterns array zigzags method getZigzagAndPattern(Scanner this, int length, int depth, array ohlcArray, int offset=0)=> var zg.Zigzag zigzag = zg.Zigzag.new(length, depth, 0) var map lastDBar = map.new() zigzag.calculate(array.from(highSource, lowSource)) var validPatterns = 0 mlzigzag = zigzag if(zigzag.flags.newPivot) while(mlzigzag.zigzagPivots.size() >= 6+offset) lastBar = mlzigzag.zigzagPivots.first().point.index lastDir = int(math.sign(mlzigzag.zigzagPivots.first().dir)) if(lastDBar.contains(mlzigzag.level)? lastDBar.get(mlzigzag.level) < lastBar : true) lastDBar.put(mlzigzag.level, lastBar) = mlzigzag.find(this.sProperties, this.dProperties, this.patterns, ohlcArray) if(valid) validPatterns+=1 currentPattern.draw() this.patterns.push(currentPattern, maxPatterns) alert('New Pattern Alert') else break mlzigzag := mlzigzag.nextlevel() true method scan(Scanner this)=> var array ohlcArray = array.new() var array patterns = array.new() ohlcArray.push(o.OHLC.new(openSource, highSource, lowSource, closeSource)) if(useZigzag1) this.getZigzagAndPattern(zigzagLength1, depth1, ohlcArray) if(useZigzag2) this.getZigzagAndPattern(zigzagLength2, depth2, ohlcArray) if(useZigzag3) this.getZigzagAndPattern(zigzagLength3, depth3, ohlcArray) if(useZigzag4) this.getZigzagAndPattern(zigzagLength4, depth4, ohlcArray) var scanner = Scanner.new(true, "", "", p.ScanProperties.new(offset, numberOfPivots, errorRatio, flatRatio, checkBarRatio, barRatioLimit, avoidOverlap, allowedPatterns=allowedPatterns, allowedLastPivotDirections= allowedLastPivotDirections, themeColors = ut.getColors(theme)), p.DrawingProperties.new(patternLineWidth, showZigzag, 1, zigzagColor, showPatternLabel, patternLabelSize, showPivotLabels, pivotLabelSize, deleteOnPop = deleteOldPatterns), array.new()) if(barstate.isconfirmed or repaint) scanner.scan()
Chỉ báo Pine Script®
của VikashAmit
1
Macro Pulse Engine (Fixed Feeds)The Macro Engine aggregates key macro signals (DXY, 10Y yields, VIX, market breadth, and major indices) into a single risk-on vs risk-off read. Green / positive readings favor risk-taking and dip-buying Red / negative readings signal caution, volatility expansion, and defensive positioning The score updates off confirmed daily closes, not noisy intraday data It doesn’t predict direction — it confirms whether risk is being rewarded or punished.
Chỉ báo Pine Script®
của Jeyson-Eightyfo
RCI4linesRCI4lines plots four Rank Correlation Index (RCI) lines in a single panel to help you read momentum and trend conditions at a glance. It shows two short-term RCIs (default: 7 and 9), a middle-term RCI (26), and a long-term RCI (52). The script also draws shaded threshold zones between +80 to +95 and -80 to -95, making it easier to spot potential overbought / oversold areas and compare short-term moves with the bigger trend. Useful for scalping to day trading, and for checking whether short-term momentum is aligned with mid/long-term direction.
Chỉ báo Pine Script®
của ensho_inusan
FTL Context - Public TeaserFTL Context (Teaser) – Public FTL Context (Teaser) is a visual market context layer designed to highlight periods of increased market risk and structural tension. This script does NOT provide trading signals and is NOT intended for standalone trading decisions. It serves as a contextual overlay only, helping traders visually identify when market conditions shift away from equilibrium. The teaser version is intentionally limited and does not expose the underlying logic or decision framework. Full functionality, advanced filters, and integrated decision logic are available in the invite-only FTL Context Layer (PRO). Educational & informational use only.
Chỉ báo Pine Script®
của FairTradingLab
NQ Market DNA: ML ScorerNQ Market DNA: ML Scorer — Indicator Description NQ Market DNA: ML Scorer is a session-structure and machine-learning scoring tool designed specifically for Nasdaq futures (NQ/MNQ). It converts the market’s overnight behavior into a single, probability-style score (0–100%) and a clear directional bias for the upcoming New York session. This script is not a generic “trend indicator.” It is a rules-based implementation of a machine-learning model whose feature set and weightings were built and calibrated in Python using historical session data. The Pine Script version is the real-time execution layer: it measures the live session structure, applies the model weights, and displays the result on-chart. ________________________________________ What the indicator plots 1) Session Boxes (Structure Map) The indicator draws three session ranges using boxes and a midline: • Asia Session (20:00–02:00 NY time by default) • London Session (02:00–08:00 NY time by default) • New York Session (08:00–16:00 NY time by default) Each session box: • Expands in real time as highs/lows develop • Includes a dotted midline (session midpoint) • “Locks” its final values once the session ends 2) Extension Levels (Target Interaction) When Asia or London ends, the script projects high and low extension lines forward into the day. These lines extend until one of the following happens: • Price trades back through the level (a touch/cross condition), or • The script reaches the hard stop at 16:00 (end of NY session) This makes it easy to visually track whether later sessions respect or invalidate prior-session extremes. ________________________________________ The ML scoring concept Output: “Probability of High First” (0–100%) The model’s output is a normalized score intended to behave like a probability. Practically: • Score ≥ 50% → Bullish bias (“London High First”) • Score < 50% → Bearish bias (“London Low First”) The score is produced by summing weighted session features. If a feature is bullish, it contributes its weight; if bearish, it contributes zero. The weights approximately sum to ~100, so the final score naturally maps into a 0–100 range. Bias coloring The on-chart score cell uses a risk-style color gradient: • Strong Bullish (typically > 75): green • Neutral / mixed (around 40–75): orange • Bearish / weak (below ~40): red ________________________________________ Features used by the model (and why they matter) The ML scorer is driven by session positioning, trend, and volatility. Your Python research determined the relative importance of each feature; the largest weights reflect the strongest historical explanatory power. Primary drivers (most important) 1. NY Open Location (Weight ~63.73%) Checks whether the NY session opens above or below the London midpoint. This is treated as the dominant structural signal because it captures whether NY is opening in the “upper half” or “lower half” of London’s range. 2. London Trend (Weight ~28.09%) London close vs London open (bullish if close > open). This represents whether London printed a directional push versus chop. 3. London Outcome / Structure (Weight ~4.21%) Classifies London relative to Asia: o “High-only sweep” (bullish structure) if London breaks Asia high without breaking Asia low This is a proxy for one-sided liquidity behavior rather than symmetric volatility. Minor factors (smaller weights, but still additive) 4. London Volatility (Weight ~1.11%) London range relative to its own rolling average (lookback-controlled). Used as a contextual amplifier: higher-than-normal London range can support continuation. 5. Asia Volatility (Weight ~1.05%) Asia range relative to its rolling average. Helps distinguish “quiet overnight” vs “expanded overnight,” which can change the day’s tendency. 6. Asia Trend (Weight ~1.00%) Asia close vs Asia open. A light directional context input. 7. London Open Location vs Asia Mid (Weight ~0.81%) Whether London opens above/below the Asia midpoint. Helps quantify early handoff positioning. ________________________________________ How to read the table The table is designed to be a compact decision panel: • ML PREDICTOR: the score (%) for the current day once NY has opened • NY Bias: bullish or bearish interpretation based on the 50 threshold • Top Drivers: shows the state of the highest-weighted features (NY location, London trend, structure) • Minor Factors: a condensed read on volatility context (e.g., “High Vol” vs “Mixed/Low”) This layout lets you quickly understand not only the bias, but what caused it. ________________________________________ Best-practice usage notes • This tool is intended to be used as a context engine, not a standalone entry signal. • It is most effective when combined with your execution framework (levels, risk model, confirmations, etc.). • Because it relies on session boundaries, chart symbol and market hours must match the intended instrument (NQ futures) for the cleanest behavior. ________________________________________ Critical disclaimer and settings warning IMPORTANT — DO NOT CHANGE SETTINGS. This indicator’s machine-learning weights and feature calibration were derived in Python from historical data under a specific configuration (session windows, timezone, and feature definitions). Changing any inputs—especially session times, timezone, rolling windows, or ML feature weights—can materially invalidate the model’s expected behavior and may produce misleading outputs. Use with caution. This script is provided for educational and informational purposes only and does not constitute financial advice. Futures trading involves substantial risk and is not suitable for all traders. Past performance and historical patterns do not guarantee future results. You are solely responsible for any trading decisions and risk management. If you ever re-train or re-calibrate the model in Python, update the weights only by replacing them with the new Python-derived values as a complete set—do not “tune” them manually.
Chỉ báo Pine Script®
của tncylyv
Swing TraderCore Logic This is a swing reversal system designed to catch bounces at swing lows (LONG) and rejections at swing highs (SHORT). Signal Flow: Warning Phase: Yellow diamonds appear when price makes new lows/highs within the lookback period Entry Phase: Signals fire when price bounces back after the warning (close > previous low for LONG, close < previous high for SHORT) Swing Size Filter: Requires minimum point movement (default 50 points) between the stored high/low levels Strengths ✅ Two-step system prevents premature entries - warns first, then confirms ✅ Alternating signals - won't fire consecutive LONGs or SHORTs ✅ Swing size requirement ensures meaningful moves ✅ Clean visuals - large labels, thick lines, clear table
Chỉ báo Pine Script®
của ajmax2020
zhanzhang66Key Indicators for Crypto & US Stock Analysis These indicators are vital for crypto and US stock trading, aiding in trend identification, overbought/oversold judgment, valuation assessment and reversal signal capture, supporting rational trading decisions. Crypto Indicators • RSI: Measures price strength to spot overbought/oversold conditions. • MACD: Tracks trend direction and momentum, capturing reversal signals. • Bollinger Bands: Gauges price volatility and potential breakouts. • Volume: Verifies trend validity and market liquidity. • EMA/SMA: Identifies short/long-term trend directions. • RSI Divergence: Warns of potential trend reversals. • Fibonacci Retracement: Predicts key support/resistance levels. • Stochastic Oscillator: Pinpoints extreme overbought/oversold states. US Stock Indicators • EPS: Reflects company profitability, a core fundamental metric. • P/E Ratio: Evaluates stock valuation rationality. • MACD/RSI: Tracks trend, momentum and overbought/oversold conditions. • Volume: Confirms price movement strength. • SMA/EMA: Clarifies short/long-term trends. • ADX: Measures trend strength to avoid sideways market trades. • Bollinger Bands: Judges volatility and breakout directions. • Dividend Yield: Key for value investors, showing stable returns. • ROE: Assesses company profit efficiency for long-term investment.
Chỉ báo Pine Script®
của wyii2382
Razzere Cloned! EzAlgo V.8.1showBuySell = input(true, "Show Buy & Sell", group="BUY & SELL SIGNALS") hassasiyet = input.float(3, "Hassasiyet (1-6)", 0.1, 99999, group="BUY & SELL SIGNALS") percentStop = input.float(1, "Stop Loss % (0 to Disable)", 0, group="BUY & SELL SIGNALS") offsetSignal = input.float(5, "Signals Offset", 0, group="BUY & SELL SIGNALS") showRibbon = input(true, "Show Trend Ribbon", group="TREND RIBBON") smooth1 = input.int(5, "Smoothing 1", 1, group="TREND RIBBON") smooth2 = input.int(8, "Smoothing 2", 1, group="TREND RIBBON") showreversal = input(true, "Show Reversals", group="REVERSAL SIGNALS") showPdHlc = input(false, "Show P.D H/L/C", group="PREVIOUS DAY HIGH LOW CLOSE") lineColor = input.color(color.yellow, "Line Colors", group="PREVIOUS DAY HIGH LOW CLOSE") lineWidth = input.int(1, "Width Lines", group="PREVIOUS DAY HIGH LOW CLOSE") lineStyle = input.string("Solid", "Line Style", ) labelSize = input.string("normal", "Label Text Size", ) labelColor = input.color(color.yellow, "Label Text Colors") showEmas = input(false, "Show EMAs", group="EMA") srcEma1 = input(close, "Source EMA 1") lenEma1 = input.int(7, "Length EMA 1", 1) srcEma2 = input(close, "Source EMA 2") lenEma2 = input.int(21, "Length EMA 2", 1) srcEma3 = input(close, "Source EMA 3") lenEma3 = input.int(144, "Length EMA 3", 1) showSwing = input(false, "Show Swing Points", group="SWING POINTS") prdSwing = input.int(10, "Swing Point Period", 2, group="SWING POINTS") colorPos = input(color.new(color.green, 50), "Positive Swing Color") colorNeg = input(color.new(color.red, 50), "Negative Swing Color") showDashboard = input(true, "Show Dashboard", group="TREND DASHBOARD") locationDashboard = input.string("Middle Right", "Table Location", , group="TREND DASHBOARD") tableTextColor = input(color.white, "Table Text Color", group="TREND DASHBOARD") tableBgColor = input(#2A2A2A, "Table Background Color", group="TREND DASHBOARD") sizeDashboard = input.string("Normal", "Table Size", , group="TREND DASHBOARD") showRevBands = input.bool(true, "Show Reversal Bands", group="REVERSAL BANDS") lenRevBands = input.int(30, "Length", group="REVERSAL BANDS") // Fonksiyonlar smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) => pivHi = ta.pivothigh(prd, prd) pivLo = ta.pivotlow (prd, prd) last_pivHi = ta.valuewhen(pivHi, pivHi, 1) last_pivLo = ta.valuewhen(pivLo, pivLo, 1) hh = pivHi and pivHi > last_pivHi ? pivHi : na lh = pivHi and pivHi < last_pivHi ? pivHi : na hl = pivLo and pivLo > last_pivLo ? pivLo : na ll = pivLo and pivLo < last_pivLo ? pivLo : na f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) f_kc(src, len, hassasiyet) => basis = ta.sma(src, len) span = ta.atr(len) wavetrend(src, chlLen, avgLen) => esa = ta.ema(src, chlLen) d = ta.ema(math.abs(src - esa), chlLen) ci = (src - esa) / (0.015 * d) wt1 = ta.ema(ci, avgLen) wt2 = ta.sma(wt1, 3) f_top_fractal(src) => src < src and src < src and src > src and src > src f_bot_fractal(src) => src > src and src > src and src < src and src < src f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0 f_findDivs(src, topLimit, botLimit) => fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na highPrev = ta.valuewhen(fractalTop, src , 0) highPrice = ta.valuewhen(fractalTop, high , 0) lowPrev = ta.valuewhen(fractalBot, src , 0) lowPrice = ta.valuewhen(fractalBot, low , 0) bearSignal = fractalTop and high > highPrice and src < highPrev bullSignal = fractalBot and low < lowPrice and src > lowPrev // Bileşen... source = close smrng1 = smoothrng(source, 27, 1.5) smrng2 = smoothrng(source, 55, hassasiyet) smrng = (smrng1 + smrng2) / 2 filt = rngfilt(source, smrng) up = 0.0, up := filt > filt ? nz(up ) + 1 : filt < filt ? 0 : nz(up ) dn = 0.0, dn := filt < filt ? nz(dn ) + 1 : filt > filt ? 0 : nz(dn ) bullCond = bool(na), bullCond := source > filt and source > source and up > 0 or source > filt and source < source and up > 0 bearCond = bool(na), bearCond := source < filt and source < source and dn > 0 or source < filt and source > source and dn > 0 lastCond = 0, lastCond := bullCond ? 1 : bearCond ? -1 : lastCond bull = bullCond and lastCond == -1 bear = bearCond and lastCond == 1 countBull = ta.barssince(bull) countBear = ta.barssince(bear) trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0 ribbon1 = ta.sma(close, smooth1) ribbon2 = ta.sma(close, smooth2) rsi = ta.rsi(close, 21) rsiOb = rsi > 70 and rsi > ta.ema(rsi, 10) rsiOs = rsi < 30 and rsi < ta.ema(rsi, 10) dHigh = securityNoRep(syminfo.tickerid, "D", high ) dLow = securityNoRep(syminfo.tickerid, "D", low ) dClose = securityNoRep(syminfo.tickerid, "D", close ) ema1 = ta.ema(srcEma1, lenEma1) ema2 = ta.ema(srcEma2, lenEma2) ema3 = ta.ema(srcEma3, lenEma3) = swingPoints(prdSwing) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) => bool bull_ = na bull_ := equal_tf(res) ? src : bull_ bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_ bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull_ := array.pop(bull_array) array.clear(bull_array) bull_ TF1Bull = securityNoRep1(syminfo.tickerid, "1" , emaBull) TF3Bull = securityNoRep1(syminfo.tickerid, "3" , emaBull) TF5Bull = securityNoRep1(syminfo.tickerid, "5" , emaBull) TF15Bull = securityNoRep1(syminfo.tickerid, "15" , emaBull) TF30Bull = securityNoRep1(syminfo.tickerid, "30" , emaBull) TF60Bull = securityNoRep1(syminfo.tickerid, "60" , emaBull) TF120Bull = securityNoRep1(syminfo.tickerid, "120" , emaBull) TF240Bull = securityNoRep1(syminfo.tickerid, "240" , emaBull) TF480Bull = securityNoRep1(syminfo.tickerid, "480" , emaBull) TFDBull = securityNoRep1(syminfo.tickerid, "1440", emaBull) = f_kc(close, lenRevBands, 3) = f_kc(close, lenRevBands, 4) = f_kc(close, lenRevBands, 5) = f_kc(close, lenRevBands, 6) = wavetrend(hlc3, 9, 12) = f_findDivs(wt2, 15, -40) = f_findDivs(wt2, 45, -65) wtDivBull = wtDivBull1 or wtDivBull2 wtDivBear = wtDivBear1 or wtDivBear2 // Renkler cyan = #00DBFF, cyan30 = color.new(cyan, 70) pink = #E91E63, pink30 = color.new(pink, 70) red = #FF5252, red30 = color.new(red , 70) // Plotlar off = percWidth(300, offsetSignal) plotshape(showBuySell and bull ? low - off : na, "Buy Label" , shape.labelup , location.absolute, cyan, 0, "Buy" , color.white, size=size.normal) plotshape(showBuySell and bear ? high + off : na, "Sell Label", shape.labeldown, location.absolute, pink, 0, "Sell", color.white, size=size.normal) plotshape(ta.crossover(wt1, wt2) and wt2 <= -53, "Mild Buy" , shape.xcross, location.belowbar, cyan, size=size.tiny) plotshape(ta.crossunder(wt1, wt2) and wt2 >= 53, "Mild Sell", shape.xcross, location.abovebar, pink, size=size.tiny) plotshape(wtDivBull, "Divergence Buy ", shape.triangleup , location.belowbar, cyan, size=size.tiny) plotshape(wtDivBear, "Divergence Sell", shape.triangledown, location.abovebar, pink, size=size.tiny) barcolor(up > dn ? cyan : pink) plotshape(showreversal and rsiOs, "Reversal Buy" , shape.diamond, location.belowbar, cyan30, size=size.tiny) plotshape(showreversal and rsiOb, "Reversal Sell", shape.diamond, location.abovebar, pink30, size=size.tiny) lStyle = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed lSize = labelSize == "small" ? size.small : labelSize == "normal" ? size.normal : size.large dHighLine = showPdHlc ? line.new(bar_index, dHigh, bar_index + 1, dHigh , xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dHighLine ) dLowLine = showPdHlc ? line.new(bar_index, dLow , bar_index + 1, dLow , xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dLowLine ) dCloseLine = showPdHlc ? line.new(bar_index, dClose, bar_index + 1, dClose, xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dCloseLine ) dHighLabel = showPdHlc ? label.new(bar_index + 100, dHigh , "P.D.H", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dHighLabel ) dLowLabel = showPdHlc ? label.new(bar_index + 100, dLow , "P.D.L", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dLowLabel ) dCloseLabel = showPdHlc ? label.new(bar_index + 100, dClose, "P.D.C", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dCloseLabel ) plot(showEmas ? ema1 : na, "EMA 1", color.green , 2) plot(showEmas ? ema2 : na, "EMA 2", color.purple, 2) plot(showEmas ? ema3 : na, "EMA 3", color.yellow, 2) plotshape(showSwing ? hh : na, "", shape.triangledown, location.abovebar, color.new(color.green, 50), -prdSwing, "HH", colorPos, false) plotshape(showSwing ? hl : na, "", shape.triangleup , location.belowbar, color.new(color.green, 50), -prdSwing, "HL", colorPos, false) plotshape(showSwing ? lh : na, "", shape.triangledown, location.abovebar, color.new(color.red , 50), -prdSwing, "LH", colorNeg, false) plotshape(showSwing ? ll : na, "", shape.triangleup , location.belowbar, color.new(color.red , 50), -prdSwing, "LL", colorNeg, false) srcStop = close atrBand = srcStop * (percentStop / 100) atrStop = trigger ? srcStop - atrBand : srcStop + atrBand lastTrade(src) => ta.valuewhen(bull or bear, src, 0) entry_y = lastTrade(srcStop) stop_y = lastTrade(atrStop) tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_y tp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_y tp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_y labelTpSl(y, txt, color) => label labelTpSl = percentStop != 0 ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na label.delete(labelTpSl ) labelTpSl(entry_y, "Entry: " + str.tostring(math.round_to_mintick(entry_y)), color.gray) labelTpSl(stop_y , "Stop Loss: " + str.tostring(math.round_to_mintick(stop_y)), color.red) labelTpSl(tp1_y, "Take Profit 1: " + str.tostring(math.round_to_mintick(tp1_y)), color.green) labelTpSl(tp2_y, "Take Profit 2: " + str.tostring(math.round_to_mintick(tp2_y)), color.green) labelTpSl(tp3_y, "Take Profit 3: " + str.tostring(math.round_to_mintick(tp3_y)), color.green) lineTpSl(y, color) => line lineTpSl = percentStop != 0 ? line.new(bar_index - (trigger ? countBull : countBear) + 4, y, bar_index + 1, y, xloc.bar_index, extend.none, color, line.style_solid) : na line.delete(lineTpSl ) lineTpSl(entry_y, color.gray) lineTpSl(stop_y, color.red) lineTpSl(tp1_y, color.green) lineTpSl(tp2_y, color.green) lineTpSl(tp3_y, color.green) var dashboard_loc = locationDashboard == "Top Right" ? position.top_right : locationDashboard == "Middle Right" ? position.middle_right : locationDashboard == "Bottom Right" ? position.bottom_right : locationDashboard == "Top Center" ? position.top_center : locationDashboard == "Middle Center" ? position.middle_center : locationDashboard == "Bottom Center" ? position.bottom_center : locationDashboard == "Top Left" ? position.top_left : locationDashboard == "Middle Left" ? position.middle_left : position.bottom_left var dashboard_size = sizeDashboard == "Large" ? size.large : sizeDashboard == "Normal" ? size.normal : sizeDashboard == "Small" ? size.small : size.tiny var dashboard = showDashboard ? table.new(dashboard_loc, 2, 15, tableBgColor, #000000, 2, tableBgColor, 1) : na dashboard_cell(column, row, txt, signal=false) => table.cell(dashboard, column, row, txt, 0, 0, signal ? #000000 : tableTextColor, text_size=dashboard_size) dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col) if barstate.islast and showDashboard dashboard_cell(0, 0 , "EzAlgo") dashboard_cell(0, 1 , "Current Position") dashboard_cell(0, 2 , "Current Trend") dashboard_cell(0, 3 , "Volume") dashboard_cell(0, 4 , "Timeframe") dashboard_cell(0, 5 , "1 min:") dashboard_cell(0, 6 , "3 min:") dashboard_cell(0, 7 , "5 min:") dashboard_cell(0, 8 , "15 min:") dashboard_cell(0, 9 , "30 min:") dashboard_cell(0, 10, "1 H:") dashboard_cell(0, 11, "2 H:") dashboard_cell(0, 12, "4 H:") dashboard_cell(0, 13, "8 H:") dashboard_cell(0, 14, "Daily:") dashboard_cell(1, 0 , "V.8.1") dashboard_cell(1, 1 , trigger ? "Buy" : "Sell", true), dashboard_cell_bg(1, 1, trigger ? color.green : color.red) dashboard_cell(1, 2 , emaBull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 2, emaBull ? color.green : color.red) dashboard_cell(1, 3 , str.tostring(volume)) dashboard_cell(1, 4 , "Trends") dashboard_cell(1, 5 , TF1Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 5 , TF1Bull ? color.green : color.red) dashboard_cell(1, 6 , TF3Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 6 , TF3Bull ? color.green : color.red) dashboard_cell(1, 7 , TF5Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 7 , TF5Bull ? color.green : color.red) dashboard_cell(1, 8 , TF15Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 8 , TF15Bull ? color.green : color.red) dashboard_cell(1, 9 , TF30Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 9 , TF30Bull ? color.green : color.red) dashboard_cell(1, 10, TF60Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 10, TF60Bull ? color.green : color.red) dashboard_cell(1, 11, TF120Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 11, TF120Bull ? color.green : color.red) dashboard_cell(1, 12, TF240Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 12, TF240Bull ? color.green : color.red) dashboard_cell(1, 13, TF480Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 13, TF480Bull ? color.green : color.red) dashboard_cell(1, 14, TFDBull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 14, TFDBull ? color.green : color.red) plot(showRevBands ? upperKC1 : na, "Rev.Zone Upper 1", red30) plot(showRevBands ? upperKC2 : na, "Rev.Zone Upper 2", red30) plot(showRevBands ? upperKC3 : na, "Rev.Zone Upper 3", red30) plot(showRevBands ? upperKC4 : na, "Rev.Zone Upper 4", red30) plot(showRevBands ? lowerKC4 : na, "Rev.Zone Lower 4", cyan30) plot(showRevBands ? lowerKC3 : na, "Rev.Zone Lower 3", cyan30) plot(showRevBands ? lowerKC2 : na, "Rev.Zone Lower 2", cyan30) plot(showRevBands ? lowerKC1 : na, "Rev.Zone Lower 1", cyan30) fill(plot(showRibbon ? ribbon1 : na, "", na, editable=false), plot(showRibbon ? ribbon2 : na, "", na, editable=false), ribbon1 > ribbon2 ? cyan30 : pink30, "Ribbon Fill Color") // Alarmlar alert01 = ta.crossover(ribbon1, ribbon2) alert02 = bull alert03 = wtDivBull alert04 = wtDivBear alert05 = bull or bear alert06 = ta.crossover(wt1, wt2) and wt2 <= -53 alert07 = ta.crossunder(wt1, wt2) and wt2 >= 53 alert08 = ta.crossunder(ribbon1, ribbon2) alert09 = rsiOb or rsiOs alert10 = bear alert11 = ta.cross(ribbon1, ribbon2) alerts(sym) => if alert02 or alert03 or alert04 or alert06 or alert07 or alert10 alert_text = alert02 ? "Buy Signal EzAlgo" : alert03 ? "Strong Buy Signal EzAlgo" : alert04 ? "Strong Sell Signal EzAlgo" : alert06 ? "Mild Buy Signal EzAlgo" : alert07 ? "Mild Sell Signal EzAlgo" : "Sell Signal EzAlgo" alert(alert_text, alert.freq_once_per_bar_close) alerts(syminfo.tickerid) alertcondition(alert01, "Blue Trend Ribbon Alert", "Blue Trend Ribbon, TimeFrame={{interval}}") alertcondition(alert02, "Buy Signal", "Buy Signal EzAlgo") alertcondition(alert03, "Divergence Buy Alert", "Strong Buy Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert04, "Divergence Sell Alert", "Strong Sell Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert05, "Either Buy or Sell Signal", "EzAlgo Signal") alertcondition(alert06, "Mild Buy Alert", "Mild Buy Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert07, "Mild Sell Alert", "Mild Sell Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert08, "Red Trend Ribbon Alert", "Red Trend Ribbon, TimeFrame={{interval}}") alertcondition(alert09, "Reversal Signal", "Reversal Signal") alertcondition(alert10, "Sell Signal", "Sell Signal EzAlgo") alertcondition(alert11, "Trend Ribbon Color Change Alert", "Trend Ribbon Color Change, TimeFrame={{interval}}")
Chỉ báo Pine Script®
của ARMAGAN007
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME Density Zones (GM Crossing Clusters) + QHO Spin Flips OVERVIEW This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements* 1) Density Zones (GM Crossing Clusters) A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction. 2) QHO Spin Flips (Regression-Residual σ Breaches) A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling. These two systems are related but not identical: - Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM). - Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance. CORE CONCEPTS AND FORMULAS SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM) We define two moving averages: (1) MA1_t = SMA(close_t, L1) (2) MA2_t = SMA(close_t, L2) We define the equilibrium anchor as the geometric mean of MA1 and MA2: (3) GM_t = sqrt( MA1_t * MA2_t ) This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.” SECTION B — CROSS EVENTS (UP/DOWN) A “cross event” is registered when the sign of (close - GM) changes: Define a sign function s_t: (4) s_t = +1 if close_t > GM_t -1 if close_t < GM_t s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips) Then define the crossing event indicator: (5) crossEvent_t = 1 if s_t != s_{t-1} 0 otherwise Additionally, the indicator plots explicit cross markers: - Cross Above GM: crossover(close, GM) - Cross Below GM: crossunder(close, GM) These provide directional visual cues and match the original Geometric Mean Indicator behavior. SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT) A Density Zone is based on the number of cross events occurring in the last W bars: (6) D_t = Σ_{i=0..W-1} crossEvent_{t-i} This is a “crossing density” score: how many times price has toggled across GM recently. The script implements this efficiently using a cumulative sum identity: Let x_t = crossEvent_t. (7) cumX_t = Σ_{j=0..t} x_j Then: (8) D_t = cumX_t - cumX_{t-W} (for t >= W) cumX_t (for t < W) SECTION D — DENSITY ZONE TRIGGER We define a Density Zone state: (9) isDZ_t = ( D_t >= θ ) where: - θ (theta) is the user-selected crossing threshold. Zone edges: (10) dzStart_t = isDZ_t AND NOT isDZ_{t-1} (11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1} SECTION E — DENSITY ZONE BOUNDS While inside a Density Zone, we track the running high/low to display zone bounds: (12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t (13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t On dzStart: (14) dzHi_t := high_t (15) dzLo_t := low_t Outside zones, bounds are reset to NA. These bounds visually bracket the “singularity span” (the churn envelope) during each density episode. SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE) Define the regression equilibrium (LSR): (16) m_t = linreg(close_t, L, 0) This is the “centerline” the QHO system uses as equilibrium. SECTION G — RESIDUAL AND σ (FIELD WIDTH) Residual: (17) r_t = close_t - m_t Rolling standard deviation of residuals: (18) σ_t = stdev(r_t, L) This σ_t is the local volatility/width of the residual field around the regression equilibrium. SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP Define the standardized displacement: (19) Y_t = (close_t - m_t) / σ_t (If σ_t = 0, the script safely treats Y_t = 0.) Spin Flip trigger uses a user threshold κ: (20) spinFlip_t = ( |Y_t| > κ ) Directional spin flips: (21) spinUp_t = ( Y_t > +κ ) (22) spinDn_t = ( Y_t < -κ ) The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal). SECTION I — QHO BANDS (OPTIONAL VISUALIZATION) The indicator optionally draws the standard σ-bands around the regression equilibrium: (23) 1σ bands: m_t ± 1·σ_t (24) 2σ bands: m_t ± 2·σ_t (25) 3σ bands: m_t ± 3·σ_t These provide immediate context for the Spin Flip events. WHAT YOU SEE ON THE CHART 1) MA1 / MA2 / GM lines (optional) - MA1 (blue), MA2 (red), GM (green). - GM is the equilibrium anchor for Density Zones and cross markers. 2) GM Cross Markers (optional) - “GM↑” label markers appear on bars where close crosses above GM. - “GM↓” label markers appear on bars where close crosses below GM. 3) Density Zone Shading (optional) - Background shading appears while isDZ_t = true. - This is the period where the crossing density D_t is above θ. 4) Density Zone High/Low Bounds (optional) - Two lines (dzHi / dzLo) are drawn only while in-zone. - These bounds bracket the full churn envelope during the density episode. 5) QHO Bands (optional) - 1σ, 2σ, 3σ shaded zones around regression equilibrium. - These visualize the current variance field. 6) Regression Equilibrium (LSR Centerline) - The white centerline is the regression equilibrium m_t. 7) Spin Flip Markers - A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold). - Marker size is user-controlled (tiny → huge). HOW TO USE IT Step 1 — Pick the equilibrium anchor (GM) - L1 and L2 define MA1 and MA2. - GM = sqrt(MA1 * MA2) becomes your equilibrium boundary. Typical choices: - Faster equilibrium: L1=20, L2=50 (default-like). - Slower equilibrium: L1=50, L2=200 (macro anchor). Interpretation: - GM acts like a “center of mass” between two moving averages. - Crosses show when price flips from one side of equilibrium to the other. Step 2 — Tune Density Zones (W and θ) - W controls the time window measured (how far back you count crossings). - θ controls how many crossings qualify as a “density/singularity episode.” Guideline: - Larger W = slower, broader density detection. - Higher θ = only the most intense churn is labeled as a Density Zone. Interpretation: - A Density Zone is not “bullish” or “bearish” by itself. - It is a condition: repeated equilibrium toggling (high churn / high compression). - These often precede expansions, but direction is not implied by the zone alone. Step 3 — Tune the QHO spin flip sensitivity (L and κ) - L controls regression memory and σ estimation length. - κ controls how extreme the displacement must be to trigger a spin flip. Guideline: - Smaller L = more reactive centerline and σ. - Larger L = smoother, slower “field” definition. - κ=3.0 = strong extreme filter. - κ=2.0 = more frequent flips. Interpretation: - Spin flips mark when price exits the “normal” residual field. - In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium. Step 4 — Read the combined behavior (your key thesis) A) Density Zone forms (GM churn clusters): - Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope. - dzHi/dzLo show the envelope range. B) Expansion occurs: - Price can release away from the density envelope (up or down). - If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ). C) Re-coherence: - After a spin flip, price often returns toward equilibrium structures: - toward the regression centerline m_t - and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior. - The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes. IMPORTANT NOTES / DISCLAIMERS - This indicator is an analytical overlay. It does not provide financial advice. - Density Zones are condition states derived from GM crossing frequency; they do not predict direction. - Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute. - All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime. PARAMETER SUMMARY Geometric Mean / Density Zones: - L1: MA1 length - L2: MA2 length - GM_t = sqrt(SMA(L1)*SMA(L2)) - W: crossing-count lookback window - θ: crossing density threshold - D_t = Σ crossEvent_{t-i} over W - isDZ_t = (D_t >= θ) - dzHi/dzLo track envelope bounds while isDZ is true QHO / Spin Flips: - L: regression + residual σ length - m_t = linreg(close, L, 0) - r_t = close_t - m_t - σ_t = stdev(r_t, L) - Y_t = r_t / σ_t - spinFlip_t = (|Y_t| > κ) Visual Controls: - toggles for GM lines, cross markers, zone shading, bounds, QHO bands - marker size options for GM crosses and spin flips ALERTS INCLUDED - Density Zone START / END - Spin Flip UP / DOWN - Cross Above GM / Cross Below GM SUMMARY This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Chỉ báo Pine Script®
của Eyemaginative
Golden Volume Lines📌 Golden Volume — Lines (Golden Team) Golden Volume — Lines is an advanced volume-based indicator that detects Ultra High Volume candles using a statistical percentile model, then automatically draws and tracks key price levels derived from those candles. The indicator highlights where real market interest and liquidity appear and shows how price reacts when those levels are broken. 🔍 How It Works Volume Measurement Choose between: Units (raw volume) Money (Volume × Average Price) Average price can be calculated using HL2 or OHLC4. Percentile-Based Classification Volume is classified into: Medium High Ultra High Volume Thresholds are calculated using a rolling percentile window. Ultra Volume candles are colored orange. Dynamic High & Low Levels For every Ultra Volume candle: A High and Low dotted line is drawn. Lines extend to the right until price breaks them. Smart Line Break Detection (Wick-Based) A line is considered broken when price wicks through it. When a break occurs: 🟧 Orange line → broken by an Ultra Volume candle ⚪ White line → broken by a normal candle The line stops exactly at the breaking candle. 🔔 Alerts Alert on Ultra High Volume candles Alert when a High or Low line is broken Separate alerts for: Break by Ultra Volume candle Break by Normal candle 🎯 Use Cases Breakout & continuation confirmation Liquidity sweep detection Volume-validated support & resistance Market reaction after extreme participation ⚙️ Key Inputs Volume display mode (Units / Money) Percentile thresholds Lookback window size Maximum number of active Ultra levels Optional dynamic alerts ⚠️ Disclaimer This indicator is a volume and market structure tool, not a standalone trading system. Always use proper risk management and additional confirmation.
Chỉ báo Pine Script®
của GoldenCryptoSignals
EMA Color Buy/Sell indicator("EMA Color & Buy/Sell Signals", overlay=true, max_lines_count=500, max_labels_count=500) EMA emaShortLen = input.int(9, "Kısa EMA") emaLongLen = input.int(21, "Uzun EMA") EMA emaShort = ta.ema(close, emaShortLen) emaLong = ta.ema(close, emaLongLen) EMA renkleri (trend yönüne göre) emaShortColor = emaShort > emaShort ? color.green : color.red emaLongColor = emaLong > emaLong ? color.green : color.red EMA plot(emaShort, color=emaShortColor, linewidth=3, title="EMA Short") plot(emaLong, color=emaLongColor, linewidth=3, title="EMA Long") buySignal = ta.crossover(emaShort, emaLong) sellSignal = ta.crossunder(emaShort, emaLong) plotshape(buySignal, title="Buy", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large) plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large) barcolor(close > open ? color.new(color.green, 0) : color.new(color.red, 0)) var line buyLine = na var line sellLine = na if buySignal buyLine := line.new(bar_index, low, bar_index, high, color=color.lime, width=2) if sellSignal sellLine := line.new(bar_index, high, bar_index, low, color=color.red, width=2)
Chỉ báo Pine Script®
của ARMAGAN007
Heikin-Ashi Bar & Line with Signals//@version=6 indicator("Heikin-Ashi Bar & Line with Signals", overlay=true) // Heikin-Ashi hesaplamaları var float haOpen = na // İlk değer için var kullanıyoruz haClose = (open + high + low + close) / 4 haOpen := na(haOpen) ? (open + close)/2 : (haOpen + haClose )/2 haHigh = math.max(high, haOpen, haClose) haLow = math.min(low, haOpen, haClose) // Renkler haBull = haClose >= haOpen haColor = haBull ? color.new(color.green, 0) : color.new(color.red, 0) // HA Barları plotcandle(haOpen, haHigh, haLow, haClose, color=haColor, wickcolor=haColor) // HA Line plot(haClose, title="HA Close Line", color=color.yellow, linewidth=2) // Trend arka planı bgcolor(haBull ? color.new(color.green, 85) : color.new(color.red, 85)) // Al/Sat sinyalleri longSignal = haBull and haClose > haOpen and haClose < haOpen shortSignal = not haBull and haClose < haOpen and haClose > haOpen plotshape(longSignal, title="Al Sinyali", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(shortSignal, title="Sat Sinyali", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
Chỉ báo Pine Script®
của ARMAGAN007
ZLSMA//@version=5 indicator("T3 Al-Sat Sinyalli", overlay=true, shorttitle="T3 Signal") // Kullanıcı ayarları length = input.int(14, minval=1, title="Periyot") vFactor = input.float(0.7, minval=0.0, maxval=1.0, title="Volatility Factor (0-1)") // EMA hesaplamaları ema1 = ta.ema(close, length) ema2 = ta.ema(ema1, length) ema3 = ta.ema(ema2, length) // T3 hesaplaması c1 = -vFactor * vFactor * vFactor c2 = 3 * vFactor * vFactor + 3 * vFactor * vFactor * vFactor c3 = -6 * vFactor * vFactor - 3 * vFactor - 3 * vFactor * vFactor * vFactor c4 = 1 + 3 * vFactor + vFactor * vFactor * vFactor + 3 * vFactor * vFactor t3 = c1 * ema3 + c2 * ema2 + c3 * ema1 + c4 * close // T3 çizimi plot(t3, color=color.new(color.blue, 0), linewidth=2, title="T3") // Mum renkleri barcolor(close > t3 ? color.new(color.green, 0) : color.new(color.red, 0)) // Al-Sat sinyalleri buySignal = ta.crossover(close, t3) sellSignal = ta.crossunder(close, t3) // Okları çiz plotshape(buySignal, title="Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small) plotshape(sellSignal, title="Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Chỉ báo Pine Script®
của ARMAGAN007
EMA Color Cross + Trend Arrows//@version=5 indicator("T3 Al-Sat Sinyalli", overlay=true, shorttitle="T3 Signal") // Kullanıcı ayarları length = input.int(14, minval=1, title="Periyot") vFactor = input.float(0.7, minval=0.0, maxval=1.0, title="Volatility Factor (0-1)") // EMA hesaplamaları ema1 = ta.ema(close, length) ema2 = ta.ema(ema1, length) ema3 = ta.ema(ema2, length) // T3 hesaplaması c1 = -vFactor * vFactor * vFactor c2 = 3 * vFactor * vFactor + 3 * vFactor * vFactor * vFactor c3 = -6 * vFactor * vFactor - 3 * vFactor - 3 * vFactor * vFactor * vFactor c4 = 1 + 3 * vFactor + vFactor * vFactor * vFactor + 3 * vFactor * vFactor t3 = c1 * ema3 + c2 * ema2 + c3 * ema1 + c4 * close // T3 çizimi plot(t3, color=color.new(color.blue, 0), linewidth=2, title="T3") // Mum renkleri barcolor(close > t3 ? color.new(color.green, 0) : color.new(color.red, 0)) // Al-Sat sinyalleri buySignal = ta.crossover(close, t3) sellSignal = ta.crossunder(close, t3) // Okları çiz plotshape(buySignal, title="Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small) plotshape(sellSignal, title="Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Chỉ báo Pine Script®
của ARMAGAN007