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3Commas DCA Long Short3Commas DCA Long/Short Manager – SuperTrend-Powered This script turns TradingView SuperTrend signals into fully-automated 3Commas actions. On each confirmed bar-close trend flip it: • Starts the chosen Long or Short DCA bot • Closes & stops the opposite bot to keep only one side running Key features • SuperTrend core – ATR Length & Factor are user-tunable • Dual-bot control – independent IDs for Long and Short bots, each can be toggled on/off • Safety first – ignores the very first bar to avoid repaint artefacts • Email/webhook ready – alerts output compact JSON compatible with 3Commas; optional delay seconds parameter included • One-click deployment – drop on any chart, set an “Any alert() function call” alert, paste your 3Commas email address / webhook, and trade hands-free. Back-test thoroughly and use paper trading before going live. Happy automating!
אינדיקטור Pine Script®
מאת ‎H_Murdock‎
User-Defined Volume Average ComparisonThe User-Defined Volume Average Comparison indicator empowers traders to analyze volume trends by comparing short-term and long-term volume moving averages. With customizable periods, visual cues, and built-in alerts, it’s a versatile tool for identifying volume-driven market shifts across any timeframe, ideal for stocks, forex, crypto, and more.Key Features: Customizable Periods: Set short and long periods (in bars) to match your trading strategy. Conditional Highlighting: Green Background: Short-period volume average ≥ long-period volume average, signaling strong short-term volume. Red Background: Short-period volume average < long-period volume average / 2, indicating low short-term volume. Optional Labels: Toggle labels to display conditions on the chart (default: off). Alerts: Receive notifications for key conditions: “Short ≥ Long Alert” for high volume periods. “Short < Long/2 Alert” for low volume periods. Visualized Averages: Plots short-period (blue) and long-period (red) volume moving averages for easy analysis. How It Works: The indicator calculates the simple moving average (SMA) of volume over user-defined short and long periods, then compares them: A green background and alert trigger when the short-period average meets or exceeds the long-period average, suggesting increased volume activity. A red background and alert trigger when the short-period average falls below half of the long-period average, indicating reduced volume. Labels (if enabled) display “Short ≥ Long” or “Short < Long/2” for clarity. Settings: Short Period (Bars): Number of bars for the short-term volume average (default: 3). Long Period (Bars): Number of bars for the long-term volume average (default: 50). Show Labels: Enable or disable condition labels (default: off). Use Cases: Trend Confirmation: Use green alerts to confirm high volume during breakouts or trend continuations. Divergence Detection: Identify low volume periods with red alerts to spot potential reversals or weak trends. Multi-Timeframe Analysis: Apply on any timeframe (e.g., 4H, 1D), with periods based on bars (e.g., 3 bars on 4H = 12 hours). Notes: Periods are based on the chart’s timeframe (bars). For shorter timeframes, consider increasing period values for more significant results. Set alerts to “Once Per Bar Close” for reliable notifications. Combine with price-based indicators to enhance trading decisions. Why Use This Indicator? This indicator offers a flexible, alert-driven approach to volume analysis, helping traders of all levels make informed decisions. Its intuitive design and customizable settings make it a valuable addition to any trading setup.
אינדיקטור Pine Script®
מאת ‎IQ-TRADER‎
2
Improved Breakout-Retest Strategy (5M Entry)This strategy combines the strength of a higher timeframe structure with precision 5-minute entries. It identifies consolidation zones on the 4H chart, waits for a strong breakout in the direction of the trend, and then enters on a retest confirmed by an engulfing candle on the 5-minute timeframe. A 200 EMA filter ensures trades align with the dominant trend, while a strict 1:3 risk-to-reward ratio maximizes profitability. It's designed to reduce false breakouts and optimize small account growth with tight stop losses and high probability setups during active trading hours.
אסטרטגיית Pine Script®
מאת ‎Muzz_Kazi‎
Supertrend AT v1.0📌 Supertrend AT v1.0 — Strategy Overview Overview Supertrend AT v1.0 is a fully automated trading strategy based on the Supertrend indicator. It identifies trend reversals and places long or short entries accordingly, with built-in position sizing, stop-loss/take-profit management, and commission-aware calculations. 🚀 Key Features ✅ Entry Signals Based on Trend Reversals Long entry when Supertrend changes from downtrend to uptrend Short entry when Supertrend changes from uptrend to downtrend ✅ Risk-Based Position Sizing Calculates position size so that a stop-loss only risks a fixed percentage (RPT) of total capital ✅ Reward/Risk Ratio-Based Target Price Calculation Take-profit price is computed not by price difference, but by actual loss and desired reward-to-risk (RR) ratio ✅ Fully Commission-Aware Commission is factored into entry, stop-loss, and take-profit price calculations Ensure commission settings match in both the input panel and the strategy properties tab ✅ Dual Language Support Switch between English and Korean interface ✅ Visual Trade Levels & Info Display Entry, stop, and target prices plotted on the chart Real-time open PnL and equity shown in an on-screen table ⚙️ How to Use Apply Strategy to Chart Load the strategy and configure the following parameters in both the Input tab and the Properties tab: Commission rate (e.g., 0.05%) Market decimal precision (e.g., 4 for 0.0001) Adjust Entry Parameters RPT: Risk per trade as a percentage of your total equity (e.g., 2%) RR: Reward-to-risk ratio (e.g., 3 = target profit is 3× the potential loss) Choose whether to allow Long or Short trades For Auto-Trading Integration Make sure the minimum order size is valid for your exchange If the calculated quantity is below the exchange's minimum unit, it may result in errors ⚠️ Important Notes ❗ Non-Repainting — Supertrend is based on confirmed candles and does not repaint ❗ Backtest-Only — The strategy is for signal generation only and does not execute real trades without external automation ❗ Margin-Based Calculations — Default settings assume margin trading; adjust accordingly 📄 License & Disclaimer This strategy is licensed under the Mozilla Public License 2.0. This script is not financial advice. Use at your own risk. Always test thoroughly with backtesting and paper trading before using in live markets.
אסטרטגיית Pine Script®
מאת ‎TradingFactory_‎
FVG MTF + 50% // This indicator identifies Fair Value Gaps (FVGs) on M15, H1, and H4 timeframes, highlights them on the chart as colored boxes, draws the 50% median line, // and displays price labels for the 0%, 50%, and 100% levels of each gap. // It also tracks when gaps are “filled” (mitigated) and logs counts on a dashboard, providing real-time metrics on open/filled FVGs for liquidity analysis. // // Key Features: // 1. Multi‐Timeframe Detection: Scans M15, H1, H4 for three‐bar FVG patterns using a configurable threshold. // 2. Colored Zones and Median Lines: Draws bullish (green) and bearish (red) gap boxes, bordered in white, with a dashed white line at the midpoint. // 3. Price Labels: Optionally annotates each gap with “0% FVG = $X,” “50% FVG = $Y,” and “100% FVG = $Z” at the moment of detection. // 4. Gap Mitigation: Monitors price re‐entry into a gap; when filled, it removes the box and logs a dashed line at the fill price. // 5. Dashboard: Counts total bullish/bearish FVGs and calculates the percentage filled on each timeframe. // 6. Alerts: Configurable alerts for new gap creation and fill events at 0%, 50%, and 100% levels. // // Implementation Details: // • Detection Logic: A three-bar gap occurs when the middle bar’s low is above the prior bar’s high (bullish) or its high is below the prior bar’s low (bearish). // A “threshold” parameter filters minor gaps based on relative size. // • Data Structures: Uses Pine v6’s user‐defined “fvg” type to store gap high, low, direction, and timestamp. Arrays track open boxes, lines, labels for each timeframe. // • Drawing: // – box.new() draws transparent rectangles spanning 500 bars into the future. // – line.new() draws dashed median lines and mitigation lines when gaps are filled. // – label.new() places price annotations at the current right edge with textalign=text.align_right. // • Dashboard: table.new() creates a 3×3 panel showing “Bullish”/“Bearish” counts and “Mitigated” percentages in real time. // • Alerts: alertcondition() triggers when new gaps form or are mitigated at specified percentages. // // Usage: // • Add to chart: Apply the script; enable or disable timeframes via checkboxes (Enable FVG M15, H1, H4). // • Configure text labels: Toggle “Text” to show or hide on‐chart price annotations. // • Monitor dashboard: Observe counts and fill rates to gauge market liquidity pressure. // • Set alerts: Enable alerts for specific levels (0%, 50%, 100%) and timeframes as needed. // // Potential Extensions: // • Customizable lookback on fill monitoring (beyond “showLast” parameter). // • Dynamic threshold based on ATR or volatility metrics instead of static percentage. // • Integration with order‐flow or volume data to refine gap significance. // • Expanded timeframes (D1, W, etc.) for higher‐timeframe liquidity profiling. // // ============================================================================= // // © 2025. Licensed under CC BY‐NC‐SA 4.0 International. // Feel free to reference academic works (Hasbrouck, Bouchaud, O’Hara) for theoretical context. // // End of Description.
אינדיקטור Pine Script®
מאת ‎Skelisul‎
Spot Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (1D–12M) has its own independent toggle, custom label, and box styling, allowing traders to analyze broader market structures across swing and long-term horizons. 🎯 Features ✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa). ✅ Plots HTF FVG boxes aligned to lower timeframes for comprehensive multi-timeframe analysis. ✅ Supports custom timeframes: 1D to 12M, with individual toggles. ✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color. ✅ Modular inputs to enable or disable specific timeframes for performance. ✅ Uses barstate.isconfirmed logic for stable, non-repainting plots. ⚙️ How It Works The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on: Bullish FVG: low >= high Bearish FVG: low >= high If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new(). Timeframe toggles ensure calculations remain within the limit of 40 request.security calls. 📈 Use Cases Swing traders analyzing daily to monthly imbalances for medium-term strategies. Position traders seeking to identify long-term imbalance zones for entries or exits. ICT methodology practitioners visualizing higher timeframe displacement and inefficiencies. Traders layering multiple HTF FVGs to build confluence-based trading decisions.
אינדיקטור Pine Script®
מאת ‎alicnsz‎
Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (30s–15m) has its own independent toggle, custom label, and box styling, allowing traders to analyze market structures in detail. 🎯 Features ✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa). ✅ Plots HTF FVG boxes aligned to lower timeframes for intraday analysis. ✅ Supports custom timeframes: 30s to 15m, with individual toggles. ✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color. ✅ Modular inputs to enable or disable specific timeframes for performance. ✅ Uses barstate.isconfirmed logic for stable, non-repainting plots. ⚙️ How It Works The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on: Bullish FVG: low >= high Bearish FVG: low >= high If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new(). Timeframe toggles ensure calculations remain within the limit of 40 request.security calls. 📈 Use Cases Scalpers and intraday traders analyzing microstructure. ICT methodology practitioners visualizing displacement and inefficiencies. Traders layering multiple FVG timeframes for confluence.
אינדיקטור Pine Script®
מאת ‎alicnsz‎
3.RSI LIJO 45*55//@version=6 indicator(title="3.RSI LIJO 45*55", shorttitle="RSI-LIJO-45-55", format=format.price, precision=2, timeframe="", timeframe_gaps=true) rsiLengthInput = input.int(9, minval=1, title="RSI Length", group="RSI Settings") rsiSourceInput = input.source(close, "Source", group="RSI Settings") calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display=display.data_window, tooltip="Calculating divergences is needed in order for divergence alerts to fire.") change = ta.change(rsiSourceInput) up = ta.rma(math.max(change, 0), rsiLengthInput) down = ta.rma(-math.min(change, 0), rsiLengthInput) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) // Change RSI line color based on bands rsiColor = rsi > 50 ? color.green : rsi < 50 ? color.red : color.white rsiPlot = plot(rsi, "RSI", color=rsiColor) rsiUpperBand = hline(55, "RSI Upper Band", color=color.rgb(5, 247, 22)) midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50)) rsiLowerBand = hline(45, "RSI Lower Band", color=color.rgb(225, 18, 14)) fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill") midLinePlot = plot(50, color=na, editable=false, display=display.none) fill(rsiPlot, midLinePlot, 100, 55, top_color=color.new(color.green, 0), bottom_color=color.new(color.green, 100), title="Overbought Gradient Fill") fill(rsiPlot, midLinePlot, 45, 0, top_color=color.new(color.red, 100), bottom_color=color.new(color.red, 0), title="Oversold Gradient Fill") // Smoothing MA inputs GRP = "Smoothing" TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maTypeInput = input.string("SMA", "Type", options= , group=GRP, display=display.data_window) maLengthInput = input.int(31, "Length", group=GRP, display=display.data_window) bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP, display=display.data_window) var enableMA = maTypeInput != "None" var isBB = maTypeInput == "SMA + Bollinger Bands" // Smoothing MA Calculation ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "SMA + Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // Smoothing MA plots smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na plot(smoothingMA, "RSI-based MA", color=color.yellow, display=enableMA ? display.all : display.none, editable=enableMA) bbUpperBand = plot(smoothingMA + smoothingStDev, title="Upper Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB) bbLowerBand = plot(smoothingMA - smoothingStDev, title="Lower Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB) fill(bbUpperBand, bbLowerBand, color=isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display=isBB ? display.all : display.none, editable=isBB) // Divergence lookbackRight = 5 lookbackLeft = 5 rangeUpper = 60 rangeLower = 5 bearColor = color.red bullColor = color.green textColor = color.white noneColor = color.new(color.white, 100) _inRange(bool cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper plFound = false phFound = false bullCond = false bearCond = false rsiLBR = rsi if calculateDivergence //------------------------------------------------------------------------------ // Regular Bullish // rsi: Higher Low plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound ) // Price: Lower Low lowLBR = low priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1) bullCond := priceLL and rsiHL and plFound //------------------------------------------------------------------------------ // Regular Bearish // rsi: Lower High phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound ) // Price: Higher High highLBR = high priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1) bearCond := priceHH and rsiLH and phFound plot( plFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish", linewidth = 2, color = (bullCond ? bullColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bullCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish Label", text = " Bull ", style = shape.labelup, location = location.absolute, color = bullColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) plot( phFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish", linewidth = 2, color = (bearCond ? bearColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bearCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish Label", text = " Bear ", style = shape.labeldown, location = location.absolute, color = bearColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.") alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.')
אינדיקטור Pine Script®
מאת ‎ibrahimkuttykk‎
UT Bot + LinReg Candles (Dual Sensitivity) Script Description: This indicator combines the popular UT Bot Alerts system with Linear Regression Candles (open source) for enhanced trend detection and trading signals in one singel script. The UT Bot features independent, then 2 x ATR sensitivity and periods controls for buy and sell signals, allowing you to fine-tune entries and exits to match your strategy. The script also overlays colored Linear Regression Candles with an optional signal line, helping you visually identify trend strength and direction. All calculations are performed on standard chart prices (no Heikin Ashi). Suitable for all asset classes and timeframes. Eample setting for usdjpy 5 min chart for repeated buy and sell singnals based on trend: BUY ATR period 300 multiplier 1 SELL ATR period 1 multiplier 2 Disclaimer: This script is for informational and educational purposes only. It is not financial advice. Use at your own risk; the author assumes no responsibility for any trading results or losses. Credits goes to to Ugurvu for linreg candles and quantnomad for UT Bot alerts that make this script possible. Author: Patrick
אינדיקטור Pine Script®
מאת ‎PDK1977‎
4
Jumping watermark# Jumping watermark ## Function description - Dynamic watermark: Mainly used to add dynamic watermarks to prevent theft and transfer when recording videos. - Static watermark: Sharing opinions can easily include information such as trading pairs, cycles, current time, and individual signatures. ### Static watermark: Display the watermark related to the current trading pair in the center of the chart. - Configuration items: - You can choose to configure the display content: current trading pair code and name, cycle, date, time, and individual signature content ### Dynamic watermark Display the configured watermark content in a dynamic random position. - Configuration items: - Turn on or off the display of watermark jumping - Modify the display text content and style by yourself ----- 中文简介----- # 跳动水印 ## 功能描述 - 动态水印： 主要可用于视频录制时添加动态水印防盗、防搬运。 - 静态水印：观点分享是可方便的带上交易对、周期、当前时间、个签等信息。 ### 静态水印： 在图表中心位置显示当前交易对相关信息水印。 - 配置项： - 可选择配置显示内容：当前交易对代码及名称、周期、日期、时间、个签内容 ### 动态水印 动态随机位置显示配置水印内容。 - 配置项： - 开启或关闭显示水印跳动 - 自行修改配置显示文字内容和样式
אינדיקטור Pine Script®
מאת ‎v50me‎
Candle Emotion Oscillator [CEO]Candle Emotion Oscillator (CEO) - Revolutionary User Guide 🧠 World's First Market Psychology Oscillator The Candle Emotion Oscillator (CEO) is a groundbreaking indicator that measures market emotions through pure candle price action analysis. This is the first oscillator ever created that translates candle patterns into psychological states, giving you unprecedented insight into market sentiment. 🚀 Revolutionary Concept What Makes CEO Unique 100% Pure Price Action: No volume, no external data - just candle analysis Market Psychology: Measures actual emotions: Fear, Greed, Panic, Euphoria Never Been Done Before: First oscillator to analyze market emotions Exhaustion Prediction: Detects emotional fatigue before reversals Fast Response: Perfect for your 2-5 minute scalping setup The Four Core Emotions 🟢 GREED (Positive Values) What it measures: Market conviction and decisiveness Candle Pattern: Large bodies, small wicks Psychology: Traders are confident and decisive Oscillator: Positive values (0 to +100) Trading Implication: Trend continuation likely 🔴 FEAR (Negative Values) What it measures: Market uncertainty and indecision Candle Pattern: Small bodies, large wicks Psychology: Traders are uncertain and hesitant Oscillator: Negative values (0 to -100) Trading Implication: Consolidation or reversal likely 🚀 EUPHORIA (Extreme Positive) What it measures: Excessive optimism and buying pressure Candle Pattern: Large green bodies with upper wicks Psychology: Extreme bullish sentiment Oscillator: Values above +60 Trading Implication: Overbought, reversal warning 💥 PANIC (Extreme Negative) What it measures: Capitulation and selling pressure Candle Pattern: Large red bodies with lower wicks Psychology: Extreme bearish sentiment Oscillator: Values below -60 Trading Implication: Oversold, reversal opportunity 📊 Visual Elements Explained Main Components Thick Colored Line: Primary emotion oscillator Green: Greed (positive emotions) Red: Fear (negative emotions) Bright Green: Euphoria (extreme positive) Dark Red: Panic (extreme negative) Thin Blue Line: Emotion trend (longer-term context) Background Gradient: Emotional intensity Darker = stronger emotions Lighter = weaker emotions Diamond Signals: 🔶 Emotional exhaustion detected Rocket Signals: 🚀 Extreme euphoria warning Explosion Signals: 💥 Extreme panic warning Information Table (Top Right)
אינדיקטור Pine Script®
מאת ‎TheRealHawk‎
Dynamic Gap Probability ToolDynamic Gap Probability Tool measures the percentage gap between price and a chosen moving average, then analyzes your chart history to estimate the likelihood of the next candle moving up or down. It dynamically adjusts its sample size to ensure statistical robustness while focusing on the exact deviation level. Originality and Value: • Combines gap-based analysis with dynamic sample aggregation to balance precision and reliability. • Automatically extends the sample when exact matches are scarce, avoiding misleading signals on rare extreme moves. • Provides real “next-candle” probabilities based on historical occurrences rather than fixed thresholds or untested heuristics. • Adds value by giving traders an evidence-based edge: you see how similar past deviations actually played out. How It Works: 1. Calculate gap = (close – moving average) / moving average * 100. 2. Round the absolute gap to nearest percent (X%). 3. Count historical bars where gap ≥ X% above or ≤ –X% below. 4. If exact X% count is below the minimum occurrences threshold, include gaps at X+1%, X+2%, etc., until threshold is reached. 5. Compute “next-candle” green vs. red probabilities from the aggregated sample. 6. Display current gap, sample size, green probability, and red probability in a table. Inputs: • Moving Average Type (SMA, EMA, WMA, VWMA, HMA, SMMA, TMA) • Moving Average Period (default 200) • Minimum Occurrences Threshold (default 50) • Table position and styling options Examples: • If price is 3% above the 200-period SMA and 120 occurrences ≥3% are found, with 84 green next candles (70%) and 36 red (30%), the script displays “3% | 120 | 70% green | 30% red.” • If price is 8% below the SMA but only 20 exact matches exist, the script will include 9% and 10% gaps until it reaches 50 samples, then calculate probabilities from that broader set. Why It’s Useful: • Mean-reversion traders see green-probability signals at extreme overbought or oversold levels. • Trend-followers identify continuation likelihood when red probability is high. • Risk managers gauge reliability by inspecting sample size before acting on any signal. Limitations: • Historical probabilities do not guarantee future performance. • Results depend on timeframe and symbol, backtest with your data before trading. • Use realistic slippage and commission when overlaying on strategy scripts.
אינדיקטור Pine Script®
מאת ‎Julien_Eche‎
9
Gann Octave 8 - Professional V 1.0Gann Octave 8 Indicator: Core Concept: This indicator divides the price range between highest high and lowest low into 8 equal parts (octaves), creating support/resistance levels based on W.D. Gann's trading principles. Key Components: 1. Price Range Calculation: o Finds highest high and lowest low over a lookback period (default 50 bars) o Divides this range into 8 equal segments (12.5% each) 2. 8 Octave Levels: o 0% (Low Support) - Strongest support o 12.5%, 25%, 37.5% - Minor levels o 50% (CRITICAL) - Most important level o 62.5%, 75%, 87.5% - Minor levels o 100% (High Resistance) - Strongest resistance 3. Gann Angles: Projects trend lines from high/low points at various angles (1x1, 2x1, 1x2, etc.) 4. Visual Features: o Color-coded levels o Information table showing current position o Background highlighting when near critical levels o Trend analysis (bullish/bearish zones) Trading Strategy Entry Signals: BULLISH TRADES: • Price crosses above 50% level → Strong buy signal • Price bounces from 25% or 37.5% levels → Support bounce • Price in upper zone (above 50%) → Bullish bias BEARISH TRADES: • Price crosses below 50% level → Strong sell signal • Price rejects at 75% or 87.5% levels → Resistance rejection • Price in lower zone (below 50%) → Bearish bias Key Trading Rules: 1. 50% Level is Critical: Most important for trend direction 2. Zone Trading: o Above 50% = Bullish zone (look for longs) o Below 50% = Bearish zone (look for shorts) 3. Strength Levels: o Above 75% or below 25% = Strong moves o Near 100% (high) or 0% (low) = Extreme levels Risk Management: • Stop Loss: Place below previous octave level • Take Profit: Target next octave level • Position Size: Reduce size near extreme levels (0%, 100%) Example Trade: If price breaks above 50% level: • Entry: Long position • Stop: Below 37.5% level • Target: 75% level • Risk: Monitor for rejection at resistance levels The indicator works best in trending markets and helps identify high-probability reversal zones. Works for both Stocks & Derivatives. Experiment with code and share your feedback in comments..
אינדיקטור Pine Script®
מאת ‎TimePriceDecoder‎
16
ITM 2x15// © 2025 Intraday Trading Machine // This script is open-source. You may use and modify it, but please give credit. // Colors the current 15-minute candle body green or red if the two previous candles were both bullish or bearish. This script is designed for traders using the Scalping Intraday Trading Machine technique. It highlights when two consecutive 15-minute candles close in the same direction — either both bullish or both bearish. For example, if you see two consecutive bearish candles, you might look for a long entry on a break above the high of the first bearish candle. This tool helps you visually identify these setups with clean, directional candle coloring — no clutter.
אינדיקטור Pine Script®
מאת ‎Lord-Of-Ticks‎
Kelly Optimal Leverage IndicatorThe Kelly Optimal Leverage Indicator mathematically applies Kelly Criterion to determine optimal position sizing based on market conditions. This indicator helps traders answer the critical question: "How much capital should I allocate to this trade?" Note that "optimal position sizing" does not equal the position sizing that you should have. The Optima position sizing given by the indicator is based on historical data and cannot predict a crash, in which case, high leverage could be devastating. Originally developed for gambling scenarios with known probabilities, the Kelly formula has been adapted here for financial markets to dynamically calculate the optimal leverage ratio that maximizes long-term capital growth while managing risk. Key Features Kelly Position Sizing: Uses historical returns and volatility to calculate mathematically optimal position sizes Multiple Risk Profiles: Displays Full Kelly (aggressive), 3/4 Kelly (moderate), 1/2 Kelly (conservative), and 1/4 Kelly (very conservative) leverage levels Volatility Adjustment: Automatically recommends appropriate Kelly fraction based on current market volatility Return Smoothing: Option to use log returns and smoothed calculations for more stable signals Comprehensive Table: Displays key metrics including annualized return, volatility, and recommended exposure levels How to Use Interpret the Lines: Each colored line represents a different Kelly fraction (risk tolerance level). When above zero, positive exposure is suggested; when below zero, reduce exposure. Note that this is based on historical returns. I personally like to increase my exposure during market downturns, but this is hard to illustrate in the indicator. Monitor the Table: The information panel provides precise leverage recommendations and exposure guidance based on current market conditions. Follow Recommended Position: Use the "Recommended Position" guidance in the table to determine appropriate exposure level. Select Your Risk Profile: Conservative traders should follow the Half Kelly or Quarter Kelly lines, while more aggressive traders might consider the Three-Quarter or Full Kelly lines. Adjust with Volatility: During high volatility periods, consider using more conservative Kelly fractions as recommended by the indicator. Mathematical Foundation The indicator calculates the optimal leverage (f*) using the formula: f* = μ/σ² Where: μ is the annualized expected return σ² is the annualized variance of returns This approach balances potential gains against risk of ruin, offering a scientific framework for position sizing that maximizes long-term growth rate. Notes The Full Kelly is theoretically optimal for maximizing long-term growth but can experience significant drawdowns. You should almost never use full kelly. Most practitioners use fractional Kelly strategies (1/2 or 1/4 Kelly) to reduce volatility while capturing most of the growth benefits This indicator works best on daily timeframes but can be applied to any timeframe Negative Kelly values suggest reducing or eliminating market exposure The indicator should be used as part of a complete trading system, not in isolation Enjoy the indicator! :) P.S. If you are really geeky about the Kelly Criterion, I recommend the book The Kelly Capital Growth Investment Criterion by Edward O. Thorp and others.
אינדיקטור Pine Script®
מאת ‎HenriqueCentieiro‎
Crypto Risk-Weighted Allocation SuiteCrypto Risk-Weighted Allocation Suite This indicator is designed to help users explore dynamic portfolio allocation frameworks for the crypto market. It calculates risk-adjusted allocation weights across major crypto sectors and cash based on multi-factor momentum and volatility signals. Best viewed on INDEX:BTCUSD 1D chart. Other charts and timeframes may give mixed signals and incoherent allocations. 🎯 How It Works This model systematically evaluates the relative strength of: BTC Dominance (CRYPTOCAP:BTC.D) Represents Bitcoin’s share of the total crypto market. Rising dominance typically indicates defensive market phases or BTC-led trends. ETH/BTC Ratio (BINANCE:ETHBTC) Gauges Ethereum’s relative performance versus Bitcoin. This provides insight into whether ETH is leading risk appetite. SOL/BTC Ratio (BINANCE:SOLBTC) Measures Solana’s performance relative to Bitcoin, capturing mid-cap layer-1 strength. Total Market Cap excluding BTC and ETH (CRYPTOCAP:TOTAL3ES) Represents Altcoins as a broad category, reflecting appetite for higher-risk assets. Each of these series is: ✅ Converted to a momentum slope over a configurable lookback period. ✅ Standardized into Z-scores to normalize changes relative to recent behavior. ✅ Smoothed optionally using a Hull Moving Average for cleaner signals. ✅ Divided by ATR-based volatility to create a risk-weighted score. ✅ Scaled to proportionally allocate exposure, applying user-configured minimum and maximum constraints. 🪙 Dynamic Allocation Logic All signals are normalized to sum to 100% if fully confident. An overall confidence factor (based on total signal strength) scales the allocation up or down. Any residual is allocated to cash (unallocated capital) for conservative exposure. The script automatically avoids “all-in” bias and prevents negative allocations. 📊 Outputs The indicator displays: Market Phase Detection (which asset class is currently leading) Risk Mode (Risk On, Neutral, Risk Off) Dynamic Allocations for BTC, ETH, SOL, Alts, and Cash Optional momentum plots for transparency 🧠 Why This Is Unique Unlike simple dominance indicators or crossovers, this model: Integrates multiple cross-asset signals (BTC, ETH, SOL, Alts) Adjusts exposure proportionally to signal strength Normalizes by volatility, dynamically scaling risk Includes configurable constraints to reflect your own risk tolerance Provides a cash fallback allocation when conviction is low Is entirely non-repainting and based on daily closing data ⚠️ Disclaimer This script is provided for educational and informational purposes only. It is not financial advice and should not be relied upon to make investment decisions. Past performance does not guarantee future results. Always consult a qualified financial advisor before acting on any information derived from this tool. 🛠 Recommended Use As a framework to visualize relative momentum and risk-adjusted allocations For research and backtesting ideas on portfolio allocation across crypto sectors To help build your own risk management process This script is not a turnkey strategy and should be customized to fit your goals. ✅ Enjoy exploring dynamic crypto allocations responsibly!
אינדיקטור Pine Script®
מאת ‎RWCS_LTD‎
Low Price RSI CrossoverThis Pine Script indicator is a Multi-Timeframe Low RSI Crossover system that combines three key filtering criteria to identify high-probability buy signals. Here's what it does: Core Concept The indicator only generates buy signals when all three conditions are met simultaneously: Price at Multi-Period Low: Current price must be at or near the lowest point within your selected timeframe (1 week to 5 years, or custom) RSI Momentum Shift: The smoothed RSI must cross above its signal line (EMA), indicating upward momentum Below Threshold Entry: Both the RSI and its signal line must be below your threshold level (default 50) when the crossover occurs Key Features RSI Smoothing: Uses Hull Moving Average (HMA) to smooth the raw RSI, reducing noise and false signals while maintaining responsiveness. Flexible Timeframes: Choose from predefined periods (1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 5Y) or set a custom number of bars. Visual Feedback: Plots the smoothed RSI (blue line) and its signal line (red line) Shows threshold and overbought levels Highlights signal bars with green background Displays tiny green triangles at signal points Real-time status table showing all conditions Trading Logic This is essentially a mean-reversion strategy that waits for: Price to reach significant lows (value zone) Momentum to start shifting upward (RSI crossover) Entry from oversold/neutral territory (below 50 RSI) Why This Works By requiring price to be at multi-period lows, you avoid buying during downtrends or sideways chop. The RSI crossover confirms that selling pressure is starting to ease, while the threshold filter ensures you're not buying into overbought conditions. The combination of these filters should significantly reduce false signals compared to using any single indicator alone.
אינדיקטור Pine Script®
מאת ‎parkerberlinger‎
Logistic Regression ICT FVG🚀 OVERVIEW Welcome to the Logistic Regression Fair Value Gap (FVG) System — a next-gen trading tool that blends precision gap detection with machine learning intelligence. Unlike traditional FVG indicators, this one evolves with each bar of price action, scoring and filtering gaps based on real market behavior. 🔧 CORE FEATURES ✨ Smart Gap Detection Automatically identifies bullish and bearish Fair Value Gaps using volatility-aware candle logic. 📊 Probability-Based Filtering Uses logistic regression to assign each gap a confidence score (0 to 1), showing only high-probability setups. 🔁 Real-Time Retest Tracking Continuously watches how price interacts with each gap to determine if it deserves respect. 📈 Multi-Factor Assessment Evaluates RSI, MACD, and body size at gap formation to build a full context snapshot. 🧠 Self-Learning Engine The logistic regression model updates on each bar using gradient descent, refining its predictions over time. 📢 Built-In Alerts Get instant alerts when a gap forms, gets retested, or breaks. 🎨 Custom Display Options Control the color of bullish/bearish zones, and toggle on/off probability labels for cleaner charts. 🚩 WHAT MAKES IT DIFFERENT This isn’t just another box-drawing indicator. While others mark every imbalance, this system thinks before it draws — using statistical modeling to filter out noise and prioritize high-impact zones. By learning from how price behaves around gaps (not just how they form), it helps you trade only what matters — not what clutters. ⚙️ HOW IT WORKS 1️⃣ Detection FVGs are identified using ATR-based thresholds and sharp wick imbalances. 2️⃣ Behavior Monitoring Every gap is tracked — and if respected enough times, it becomes part of the elite training set. 3️⃣ Context Capture Each new FVG logs RSI, MACD, and body size to provide a feature-rich context for prediction. 4️⃣ Prediction (Logistic Regression) The model predicts how likely the gap is to be respected and assigns it a probability score. 5️⃣ Classification & Alerts Gaps above the threshold are plotted with score labels, and alerts trigger for entry/respect/break. ⚙️ CONFIGURATION PANEL 🔧 System Inputs • Max Retests – How many times a gap must be respected to train the model • Prediction Threshold – Minimum score to show a gap on the chart • Learning Rate – Controls how fast the model adapts (default: 0.009) • Max FVG Lifetime – Expiration duration for unused gaps • Show Historic Gaps – Show/hide expired or invalidated gaps 🎨 Visual Options • Bullish/Bearish Colors – Set gap colors to fit your chart style • Confidence Labels – Show probability scores next to FVGs • Alert Toggles – Enable alerts for:   – New FVG detected   – FVG respected (entry)   – FVG invalidated (break) 💡 WHY LOGISTIC REGRESSION? Traditional FVG tools rely on candle shapes. This system relies on probability — by training on RSI, MACD, and price behavior, it predicts whether a gap will act as a true liquidity zone. Logistic regression lets the system continuously adapt using new data, making it more accurate the longer it runs. That means smarter signals, fewer false positives, and a clearer view of where real opportunities lie.
אינדיקטור Pine Script®
מאת ‎PalgoTrading‎
Greer Book Value Yield📘 Script Title Greer Book Value Yield – Valuation Insight Based on Balance Sheet Strength 🧾 Description Greer Book Value Yield is a valuation-focused indicator in the Greer Financial Toolkit, designed to evaluate how much net asset value (book value) a company provides per share relative to its current market price. This script calculates the Book Value Per Share Yield (BV%) using the formula: Book Value Yield (%) = Book Value Per Share ÷ Stock Price × 100 This yield helps investors assess whether a stock is trading at a discount or premium to its underlying assets. It dynamically highlights when the yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Analyze valuation through asset-based metrics Identify buy opportunities when book value yield is historically high Combine with other scripts in the Greer Financial Toolkit: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes multiple valuation-based yields 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses Book Value Per Share (BVPS) from TradingView’s financial database (Fiscal Year) Calculates and compares against a static average yield to assess historical valuation Clean visual feedback via dynamic coloring and overlays ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
אינדיקטור Pine Script®
מאת ‎controllinghand‎
Greer EPS Yield📘 Script Title Greer EPS Yield – Valuation Insight Based on Earnings Productivity 🧾 Description Greer EPS Yield is a valuation-focused indicator from the Greer Financial Toolkit, designed to evaluate how efficiently a company generates earnings relative to its current stock price. This script calculates the Earnings Per Share Yield (EPS%), using the formula: EPS Yield (%) = Earnings Per Share ÷ Stock Price × 100 This yield metric provides a quick snapshot of valuation through the lens of profitability per share. It dynamically highlights when the EPS yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Quickly assess valuation attractiveness based on earnings yield. Identify potential buy opportunities when EPS% is above its long-term average. Combine with other indicators in the Greer Financial Toolkit for a fundamentals-driven investment strategy: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes valuation-based yield metrics 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses fiscal year EPS data from TradingView’s built-in financial database. Tracks a static average EPS Yield to compare current valuation to historical norms. Clean, intuitive visual with automatic color coding. ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
אינדיקטור Pine Script®
מאת ‎controllinghand‎