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Round Strike Price, Levels Options Series➤ Strike Price Range Mode: ➤ Exact Strike Price Mode: ⭐ Overview and How It Works Round Strike Price or Levels is a precision-focused visual tool designed for options and index traders. It dynamically plots round strike levels around the current price and presents them either as: ⠀ — Exact strike prices, or ⠀ — Strike price ranges, where each zone represents the midpoint between two adjacent strikes. The indicator continuously recalculates the base strike using the current price and aligns all surrounding levels using a fixed step size. All lines and labels are updated only on the last bar for optimal performance and stability. This makes StrikePrice ideal for: 🔹 Identifying key option strikes. 🔹 Visualizing price acceptance zones. 🔹 Understanding strike-to-strike movement during intraday trading. ⭐ Key Features and Functionality Strike Price Range: ⠀ — Treats each pair of strike lines as a price zone. ⠀ — Labels are plotted at the midpoint between two lines. ⠀ — Last label is intentionally hidden (no upper range exists) Exact Strike Price: ⠀ — Labels are plotted directly on each strike line. ⠀ — Useful for precise strike-based analysis. 󠀠󠀠󠀠 Dynamic Base Calculation: ⠀ — Automati󠀠cally snaps price to the nearest round strike. ⠀ — Re-centers the entire grid as price moves. ⠀ — No manual adjustment required. Efficient Object Management: ⠀ — Uses persistent arr󠀠ays for lines and labels. ⠀ — Objects are reused instead of recreated. ⠀ — Prevents flickering and avoids TradingView object limits. 🎨 Visualizations and User Experience Clean horizontal strike grid with configurable: ⠀ — Line width, Line color, Line style (Solid / Dashed / Dotted), Extension direction (Left / Right / Both / None). Labels are: ⠀ — Positioned to the right of price, Size-adjustable, Fully customizable in text color and background color. Designed to stay visually clear even on: ⠀ — Fast-moving intraday charts, Options-focused layouts, Multi-indicator setups. Tip: Increase Right Bars Margin in chart settings to give labels proper spacing. ⭐ Settings and Customization 🔹 Strike Settings: ⠀ — Step (points): Distance between adjacent strike levels (e.g., 50, 100) ⠀ — Levels per side: Number of strike levels plotted above and below the base. ⠀ — Strike Mode: Strike Price Range, Exact Strike Price. 🔹 Line Settings: ⠀ — Line width, Line color, Line style (Solid / Dashed / Dotted), Line extension direction. 🔹 Label Settings: ⠀ — Show / hide labels, Label distance (bars to the right), Label size, Label text color, Label background color. All label properties are updated dynamically, allowing real-time UI tuning without reloading the script. ⭐ Uniqueness of the Concept: Unlike generic round-number indicators, StrikePrice: ⠀ — Understands option-style strike structure. ⠀ — Separates range-based thinking from exact price levels. ⠀ — Uses midpoint logic to visualize strike-to-strike movement. ⠀ — Maintains strict performance discipline by updating only when necessary. This makes it especially useful for: ⠀ • NIFTY / BANKNIFTY options. ⠀ • Index and futures traders. ⠀ • Intraday strike rotation analysis. ⠀ • Premium decay and range-bound setups. 🚀 Conclusion: StrikePrice is a focused, professional-grade indicator for traders who think in strikes, ranges, and levels rather than arbitrary prices. It offers: ⠀ • Clear structure ⠀ • Accurate strike alignment ⠀ • Clean visuals ⠀ • Zero repainting logic
Chỉ báo Pine Script®
của Options_Series
PCR Put-Call Ratio//@version=5 indicator("PCR Put-Call Ratio", overlay=false, precision=4) // Input parameters pcrLength = input(20, "PCR Length", group="Settings") maLength = input(5, "MA Length", group="Settings") showOI = input(true, "Use Open Interest", group="Settings") // Get PCR data from CBOE (requires daily data availability) pcrData = request.security("CBOE:PC", "D", close) // Calculate moving average of PCR pcrMA = ta.sma(pcrData, maLength) // Levels for interpretation overbought = 1.2 oversold = 0.6 neutral = 0.9 // Plot PCR value plot(pcrData, title="PCR Value", color=color.blue, linewidth=2) plot(pcrMA, title="PCR MA", color=color.orange, linewidth=1) // Add reference lines hline(overbought, "Overbought (Bearish)", color.red, linestyle=hline.style_dashed) hline(neutral, "Neutral", color.gray, linestyle=hline.style_dotted) hline(oversold, "Oversold (Bullish)", color.green, linestyle=hline.style_dashed) // Background coloring based on sentiment bgColor = pcrData > overbought ? color.new(color.red, 80) : pcrData < oversold ? color.new(color.green, 80) : color.new(color.gray, 90) bgcolor(bgColor)
Chỉ báo Pine Script®
của princeraj36459
ICT Premium/Discount Zones [Exponential-X]Premium/Discount Zones - Visual Market Structure Tool Overview This indicator helps traders visualize premium and discount price zones based on recent market structure. It automatically identifies swing highs and lows within a specified lookback period and divides the price range into three key areas: Premium Zone, Equilibrium, and Discount Zone. What This Indicator Does The script continuously monitors price action and calculates: Highest High and Lowest Low within the lookback period Equilibrium Level - the midpoint between the swing high and low Premium Zone - the area from equilibrium to the swing high (typically viewed as relatively expensive price levels) Discount Zone - the area from the swing low to equilibrium (typically viewed as relatively cheap price levels) Core Calculation Method The indicator uses pivot point logic to identify significant swing highs and lows based on the pivot strength parameter. It then calculates the highest high and lowest low over the specified lookback period. The equilibrium is computed as the arithmetic mean of these two extremes, creating a fair value reference point. The zones are dynamically updated as new price data becomes available, ensuring the visualization remains relevant to current market conditions. Key Features Dynamic Zone Detection Automatically adjusts zones based on recent price action Uses customizable lookback period for flexibility across different timeframes Employs pivot strength parameter to filter out minor price fluctuations Visual Clarity Color-coded zones for easy identification (red for premium, green for discount) Optional equilibrium line display Adjustable zone label placement Customizable color schemes to match your charting preferences Alert Capabilities Alerts when price enters the premium zone Alerts when price enters the discount zone Alerts when price returns to equilibrium Helps traders monitor key zone interactions without constant chart watching Customization Options Adjustable lookback period (5-500 bars) Configurable pivot strength for swing detection (1-20 bars) Control over box extension into the future Toggle labels and equilibrium line on/off Full color customization for all visual elements How to Use This Indicator Setup Add the indicator to your chart Adjust the lookback period to match your trading timeframe (shorter for intraday, longer for swing trading) Set pivot strength to filter out noise (higher values for major swings, lower for more frequent updates) Customize colors and labels to your preference Interpretation Premium Zone: Price trading here may indicate potential resistance or selling opportunities when aligned with other technical factors Discount Zone: Price trading here may indicate potential support or buying opportunities when aligned with other technical factors Equilibrium: Acts as a fair value reference point where price often consolidates or reacts Trading Applications This tool works well when combined with other forms of analysis such as: Trend identification indicators Volume analysis Support and resistance levels Price action patterns Market structure analysis Important Considerations This indicator identifies zones based purely on historical price data Premium and discount zones are relative to the recent lookback period The effectiveness varies across different market conditions and timeframes Should be used as part of a comprehensive trading strategy, not in isolation Past price structure does not guarantee future price behavior Technical Details Calculation Method Uses Pine Script's ta.pivothigh() and ta.pivotlow() functions for swing detection Employs ta.highest() and ta.lowest() for range calculation Updates dynamically with each new bar Draws zones using box objects for clear visual representation Performance Optimization Efficiently manages box and line objects to minimize resource usage Uses conditional plotting to reduce unnecessary calculations Limited to essential visual elements for chart clarity Timeframe Compatibility This indicator works on all timeframes but the recommended settings vary: 1-5 minute charts: Lookback period 10-20, Pivot strength 3-5 15-60 minute charts: Lookback period 20-50, Pivot strength 5-10 Daily charts: Lookback period 50-100, Pivot strength 10-15 Weekly charts: Lookback period 20-50, Pivot strength 5-10 Adjust these values based on the volatility of your specific instrument. Limitations and Considerations What This Indicator Does NOT Do Does not provide buy or sell signals on its own Does not predict future price movements Does not account for fundamental factors or market events Does not guarantee profitability or accuracy Market Condition Awareness In strong trending markets, price may remain in premium or discount zones for extended periods During ranging conditions, price typically oscillates between zones more predictably High volatility can cause frequent zone recalculations Low volatility may result in narrow zones with limited practical use Risk Considerations Premium and discount are relative concepts, not absolute values What appears as a discount zone may continue lower in a downtrend What appears as a premium zone may continue higher in an uptrend Always use proper risk management and position sizing Consider multiple timeframe analysis for context Version Information This indicator is written in Pine Script v6, ensuring compatibility with the latest TradingView features and optimal performance. Final Notes This tool is designed to enhance your market analysis by providing a clear visual representation of premium and discount price zones. It should be used as one component of a well-rounded trading approach that includes proper risk management, multiple forms of analysis, and realistic expectations about market behavior. The concept of premium and discount zones is rooted in auction market theory and the idea that price oscillates around fair value. However, traders should understand that these zones are interpretive tools based on historical data and do not constitute trading advice or predictions about future price action. Remember to backtest any strategy using this indicator on historical data before applying it to live trading, and always trade responsibly within your risk tolerance. Disclaimer: The information provided by this indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. Always conduct your own research and consult with qualified financial professionals before making trading decisions.
Chỉ báo Pine Script®
của Exponential-X
GVWAP_Core (CalendarSpan + EventSpike)GVWAP Core Indicator General Description (Public) GVWAP (Generalized Volume-Weighted Average Price) is an advanced anchoring and averaging framework designed to reveal market structure rather than predict price. Unlike traditional VWAP, GVWAP is not limited to volume weighting or session-based anchoring. It can operate on any input series (price, indicators, transforms) and supports multiple weighting schemes, decay behavior, and structural reset logic. At its core, GVWAP answers a simple question: “Where is the statistically relevant center of activity since the last meaningful structural event?” The indicator continuously updates a weighted average of the input series, gradually forgetting older data using exponential decay. The anchor point can reset on calendar boundaries (day, week, month, etc.) or on statistically significant events such as abnormal volume spikes. Robust dispersion bands based on mean absolute deviation (MAD) surround the average, providing context for trend, rotation, and compression regimes. GVWAP is not a trading signal by itself. It is best used as a structural reference layer or as an intermediate transform feeding other indicators, strategies, or regime filters. Mathematical Description (Quantitative) Let x_t be an arbitrary input series and w_t a selectable weight function. GVWAP is defined as a normalized exponentially decayed weighted estimator: GVWAP_t = N_t / D_t with recursive updates: N_t = (1 − α)·N_{t−1} + α·w_t·x_t D_t = (1 − α)·D_{t−1} + α·w_t where α = 1 − 2^(−1/H) and H is the decay half-life in bars. Weights may be defined as: • w_t = V_t (volume) • w_t = 1 (equal weight) • w_t = 1 / ATR_t (volatility-normalized) • w_t = f(n_t) (time-weighted, where n_t is bars since reset) The estimator resets when a structural condition R_t is satisfied, at which point: N_t = w_t·x_t, D_t = w_t For event-based anchoring, volume surprise is computed using a Student‑t–compressed z‑score: z_t = (V_t − μ_V) / σ_V tZ_t = z_t / sqrt(1 + z_t² / ν) A reset occurs when tZ_t exceeds a threshold τ. Dispersion is measured via a decayed Mean Absolute Deviation: MAD_t = (Σ λ^{t−i} w_i |x_i − GVWAP_t|) / (Σ λ^{t−i} w_i) Bands are defined as GVWAP_t ± k·MAD_t. GVWAP therefore represents a bounded-memory, robust, non‑Gaussian estimator of the local conditional expectation of x_t under dynamic anchoring and weighting.
Chỉ báo Pine Script®
của AJSwogger
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
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
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
T3 Al-Sat Sinyalli//@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
VX-Session-Boxes-(AM/PM Split)(Customizable) by Ikaru-s-VX-Session-Boxes-(AM/PM Split) is a session-based visualization tool for TradingView that highlights major market sessions directly on the chart using dotted range boxes and an optional AM/PM split. The indicator allows traders to visually separate market behavior across different sessions while keeping the chart clean and readable. 🔹 Key Features Custom Session Definitions Define up to 4 independent sessions using TradingView’s session format (HHMM-HHMM + weekdays). Timezone-Aware All sessions are calculated using a user-defined timezone (IANA or UTC offset), ensuring accurate session alignment across markets. Dotted Session Boxes Each session is drawn as a dotted box based on the session’s high/low range, providing a clear view of volatility and price structure. AM / PM Split Visualization Sessions can be visually split into AM and PM parts: Separate box shading for AM and PM Optional dotted vertical split line at the AM → PM transition (12:00 in the selected timezone) Session Labels Optional labels at the start of each session for quick identification (e.g. Sydney, Tokyo, London, New York). Fully Customizable Visuals Adjustable opacity, border width, and visibility toggles for boxes, split lines, and labels. 🔹 Use Cases Session-based market analysis (Asia / London / New York) Identifying session ranges and volatility expansion Observing price behavior differences between AM and PM Studying session transitions and liquidity shifts 🔹 Notes Session boxes are based on session high and low, not full chart height. AM/PM split is based on 12:00 (noon) in the selected timezone. Designed for clarity and performance on intraday timeframes. 🔹 Compatibility Pine Script® v6 Works on all intraday timeframes Overlay indicator (draws directly on the price chart)
Chỉ báo Pine Script®
của Ikaru-s-
EMA COLOR BUY SELL indicator("Sorunsuz EMA Renk + AL/SAT", overlay=true) length = input.int(20, "EMA Periyodu") src = input.source(close, "Kaynak") emaVal = ta.ema(src, length) isUp = emaVal > emaVal emaCol = isUp ? color.green : color.red plot(emaVal, "EMA", color=emaCol, linewidth=2) buy = isUp and not isUp // kırmızı → yeşil sell = not isUp and isUp // yeşil → kırmızı plotshape(buy, style=shape.arrowup, location=location.belowbar, color=color.green, size=size.large, text="AL") plotshape(sell, style=shape.arrowdown, location=location.abovebar, color=color.red, size=size.large, text="SAT") alertcondition(buy, "EMA AL", "EMA yukarı döndü") alertcondition(sell, "EMA SAT", "EMA aşağı döndü")
Chỉ báo Pine Script®
của ARMAGAN007
Renkli EMA BAR//@version=5 indicator("EMA Color Cross + Trend Arrows V6", overlay=true, max_bars_back=500) // === Inputs === fastLen = input.int(9, "Hızlı EMA") slowLen = input.int(21, "Yavaş EMA") // === EMA Hesapları === emaFast = ta.ema(close, fastLen) emaSlow = ta.ema(close, slowLen) // Trend Yönü trendUp = emaFast > emaSlow trendDown = emaFast < emaSlow // === Çizgi Renkleri === lineColor = trendUp ? color.new(color.green, 0) : color.new(color.red, 0) // === EMA Çizgileri (agresif kalın) === plot(emaFast, "Hızlı EMA", lineColor, 4) plot(emaSlow, "Yavaş EMA", color.new(color.gray, 70), 2) // === Ok Sinyalleri === buySignal = ta.crossover(emaFast, emaSlow) sellSignal = ta.crossunder(emaFast, emaSlow) // Büyük Oklar plotshape(buySignal, title="AL", style=shape.triangleup, color=color.green, size=size.large, location=location.belowbar) plotshape(sellSignal, title="SAT", style=shape.triangledown, color=color.red, size=size.large, location=location.abovebar) // === Trend Bar Color === barcolor(trendUp ? color.green : color.red)
Chỉ báo Pine Script®
của ARMAGAN007