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Advanced Pattern Detection System [50+ Patterns]【Advanced Pattern Detection System - Auto-detects 50+ Chart Patterns】 Introducing the most powerful pattern detection indicator for TradingView! ◆ What is this? An automated tool that finds and displays over 50 chart patterns on your charts. It detects all the patterns professional traders use - Double Tops, Triangles, Head & Shoulders, and more - all in ONE indicator. ◆ Main Features ・Detects 50+ patterns in real-time ・Shows visual explanation of WHY each pattern was identified ・Automatically calculates theoretical target prices ・Displays confidence levels in % (60-95%) ・Choose panel position from 9 locations ・Works on all timeframes (1min to Monthly) ◆ Detectable Patterns 1. Classic Patterns (Double Top/Bottom, Head & Shoulders, etc.) 2. Triangle Patterns (Ascending, Descending, Symmetrical, Expanding) 3. Continuation Patterns (Flags, Pennants, Wedges, etc.) 4. Harmonic Patterns (Gartley, Butterfly, Bat, etc.) 5. Price Action (Pin Bar, Engulfing, Hammer, etc.) 6. Special Patterns (Cup & Handle, V-formations, etc.) ◆ What Makes It Different ・Not just detection - shows the reasoning behind it ・Auto-draws pivot points and necklines ・Displays target prices with % gain/loss from current price ・Detects multiple patterns simultaneously, sorted by confidence ・Available in both Japanese and English versions ◆ Perfect For ✓ Anyone tired of using multiple indicators ✓ Beginners wanting to learn pattern trading ✓ Traders who don't want to miss entry points ✓ Those looking to improve discretionary trading accuracy ◆ How to Use (Easy 3 Steps) 1. Open TradingView and paste code in Pine Editor 2. Click "Add to Chart" 3. Enable only the patterns you need in settings ◆ Color Meanings Green → Bullish potential (Buy signal) Red → Bearish potential (Sell signal) Yellow → Neutral direction (Wait and see) ◆ Recommended Settings Scalping: Detection period 20, Sensitivity 0.0025 Day Trading: Detection period 50, Sensitivity 0.002 Swing Trading: Detection period 100, Sensitivity 0.0015 ◆ Real Trading Example "Detects Double Bottom → 85% confidence → Enter on neckline break → Take profit at displayed target price" This is how you can use it in practice. ◆ Important Notes ・This is an analysis tool, not investment advice ・Always combine with other indicators ・Always set stop losses ・Practice on demo account before live trading ◆ Performance If running slow, turn OFF unused pattern categories. Reducing max display count to 3 also helps. ◆ Summary This single tool provides functionality that would normally require multiple paid indicators (worth $100-200 total). It's the ultimate pattern detection system recommended for all traders, from beginners to professionals. Give it a try if interested! Feel free to ask questions in the comments.
Pine Script® 인디케이터
Hunk77의
6
Market Spiralyst [Hapharmonic]Hello, traders and creators! 👋 Market Spiralyst: Let's change the way we look at analysis, shall we? I've got to admit, I scratched my head on this for weeks, Haha :). What you're seeing is an exploration of what's possible when code meets art on financial charts. I wanted to try blending art with trading, to do something new and break away from the same old boring perspectives. The goal was to create a visual experience that's not just analytical, but also relaxing and aesthetically pleasing. This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language. I hope it inspires you as much as it challenged me! 🧐 Core Concept: How It Works Spiralyst is built on two distinct but interconnected engines: The Generative Art Engine: At its core, this indicator uses a wide range of mathematical formulas—from simple polygons to exotic curves like Torus Knots and Spirographs—to draw beautiful, intricate shapes directly onto your chart. This provides a unique and dynamic visual backdrop for your analysis. The Market Pulse Engine: This is where analysis meets art. The engine takes real-time data from standard technical indicators (RSI and MACD in this version) and translates their states into a simple, powerful "Pulse Score." This score directly influences the appearance of the "Scatter Points" orbiting the main shape, turning the entire artwork into a living, breathing representation of market momentum. 🎨 Unleash Your Creativity! This Is Your Playground We've included 25 preset shapes for you... but that's just the starting point ! The real magic happens when you start tweaking the settings yourself. A tiny adjustment can make a familiar shape come alive and transform in ways you never expected. I'm genuinely excited to see what your imagination can conjure up! If you create a shape you're particularly proud of or one that looks completely unique, I would love to see it. Please feel free to share a screenshot in the comments below. I can't wait to see what you discover! :) Here's the default shape to get you started: The Dynamic Scatter Points: Reading the Pulse This is where the magic happens! The small points scattered around the main shape are not just decorative; they are the visual representation of the Market Pulse Score. The points have two forms: A small asterisk (`*`): Represents a low or neutral market pulse. A larger, more prominent circle (`o`): Represents a high, strong market pulse. Here’s how to read them: The indicator calculates the Pulse Strength as a percentage (from 0% to 100%) based on the total score from the active indicators (RSI and MACD). This percentage determines the ratio of circles to asterisks. High Pulse Strength (e.g., 80-100%): Most of the scatter points will transform into large circles (`o`). This indicates that the underlying momentum is strong and It could be an uptrend. It's a visual cue that the market is gaining strength and might be worth paying closer attention to. Low Pulse Strength (e.g., 0-20%): Most or all of the scatter points will remain as small asterisks (`*`). This suggests weak, neutral, or bearish momentum. The key takeaway: The more circles you see, the stronger the bullish momentum is according to the active indicators. Watch the artwork "breathe" as the circles appear and disappear with the market's rhythm! And don't worry about the shape you choose; the scatter points will intelligently adapt and always follow the outer boundary of whatever beautiful form you've selected. How to Use Getting started with Spiralyst is simple: Choose Your Canvas: Start by going into the settings and picking a `Shape` and `Palette` from the "Shape Selection & Palette" group that you find visually appealing. This is your canvas. Tune Your Engine: Go to the "Market Pulse Engine" settings. Here, you can enable or disable the RSI and MACD scoring engines. Want to see the pulse based only on RSI? Just uncheck the MACD box. You can also fine-tune the parameters for each indicator to match your trading style. Read the Vibe: Observe the scatter points. Are they mostly small asterisks or are they transforming into large, vibrant circles? Use this visual feedback as a high-level gauge of market momentum. Check the Dashboard: For a precise breakdown, look at the "Market Pulse Analysis" table on the top-right. It gives you the exact values, scores, and total strength percentage. Explore & Experiment: Play with the different shapes and color palettes! The core analysis remains the same, but the visual experience can be completely different. ⚙️ Settings & Customization Spiralyst is designed to be highly customizable. Shape Selection & Palette: This is your main control panel. Choose from over 25 unique shapes, select a color palette, and adjust the line extension style ( `extend` ) or horizontal position ( `offsetXInput` ). scatterLabelsInput: This setting controls the total number of points (both asterisks and circles) that orbit the main shape. Think of it as adjusting the density or visual granularity of the market pulse feedback. The Market Pulse engine will always calculate its strength as a percentage (e.g., 75%). This percentage is then applied to the `scatterLabelsInput` number you've set to determine how many points transform into large circles. Example: If the Pulse Strength is 75% and you set this to `100` , approximately 75 points will become circles. If you increase it to `200` , approximately 150 points will transform. A higher number provides a more detailed, high-resolution view of the market pulse, while a lower number offers a cleaner, more minimalist look. Feel free to adjust this to your personal visual preference; the underlying analytical percentage remains the same. Market Pulse Engine: `⚙️ RSI Settings` & `⚙️ MACD Settings`: Each indicator has its own group. Enable Scoring: Use the checkbox at the top of each group to include or exclude that indicator from the Pulse Score calculation. If you only want to use RSI, simply uncheck "Enable MACD Scoring." Parameters: All standard parameters (Length, Source, Fast/Slow/Signal) are fully adjustable. Individual Shape Parameters (01-25): Each of the 25+ shapes has its own dedicated group of settings, allowing you to fine-tune every aspect of its geometry, from the number of petals on a flower to the windings of a knot. Feel free to experiment! For Developers & Pine Script™ Enthusiasts If you are a developer and wish to add more indicators (e.g., Stochastic, CCI, ADX), you can easily do so by following the modular structure of the code. You would primarily need to: Add a new `PulseIndicator` object for your new indicator in the `f_getMarketPulse()` function. Add the logic for its scoring inside the `calculateScore()` method. The `calculateTotals()` method and the dashboard table are designed to be dynamic and will automatically adapt to include your new indicator! One of the core design philosophies behind Spiralyst is modularity and scalability . The Market Pulse engine was intentionally built using User-Defined Types (UDTs) and an array-based structure so that adding new indicators is incredibly simple and doesn't require rewriting the main logic. If you want to add a new indicator to the scoring engine—let's use the Stochastic Oscillator as a detailed example—you only need to modify three small sections of the code. The rest of the script, including the adaptive dashboard, will update automatically. Here’s your step-by-step guide: #### Step 1: Add the User Inputs First, you need to give users control over your new indicator. Find the `USER INTERFACE: INPUTS` section and add a new group for the Stochastic settings, right after the MACD group. Create a new group name: `string GRP_STOCH = "⚙️ Stochastic Settings"` Add the inputs: Create a boolean to enable/disable it, and then add the necessary parameters (`%K`, `%D`, `Smooth`). Use the `active` parameter to link them to the enable/disable checkbox. // Add this code block right after the GRP_MACD and MACD inputs string GRP_STOCH = "⚙️ Stochastic Settings" bool stochEnabledInput = input.bool(true, "Enable Stochastic Scoring", group = GRP_STOCH) int stochKInput = input.int(14, "%K Length", minval=1, group = GRP_STOCH, active = stochEnabledInput) int stochDInput = input.int(3, "%D Smoothing", minval=1, group = GRP_STOCH, active = stochEnabledInput) int stochSmoothInput = input.int(3, "Smooth", minval=1, group = GRP_STOCH, active = stochEnabledInput) #### Step 2: Integrate into the Pulse Engine (The "Factory") Next, go to the `f_getMarketPulse()` function. This function acts as a "factory" that builds and configures the entire market pulse object. You need to teach it how to build your new Stochastic indicator. Update the function signature: Add the new `stochEnabledInput` boolean as a parameter. Calculate the indicator: Add the `ta.stoch()` calculation. Create a `PulseIndicator` object: Create a new object for the Stochastic, populating it with its name, parameters, calculated value, and whether it's enabled. Add it to the array: Simply add your new `stochPulse` object to the `array.from()` list. Here is the complete, updated `f_getMarketPulse()` function : // Factory function to create and calculate the entire MarketPulse object. f_getMarketPulse(bool rsiEnabled, bool macdEnabled, bool stochEnabled) => // 1. Calculate indicator values float rsiVal = ta.rsi(rsiSourceInput, rsiLengthInput) = ta.macd(close, macdFastInput, macdSlowInput, macdSignalInput) float stochVal = ta.sma(ta.stoch(close, high, low, stochKInput), stochDInput) // We'll use the main line for scoring // 2. Create individual PulseIndicator objects PulseIndicator rsiPulse = PulseIndicator.new("RSI", str.tostring(rsiLengthInput), rsiVal, na, 0, rsiEnabled) PulseIndicator macdPulse = PulseIndicator.new("MACD", str.format("{0},{1},{2}", macdFastInput, macdSlowInput, macdSignalInput), macdVal, signalVal, 0, macdEnabled) PulseIndicator stochPulse = PulseIndicator.new("Stoch", str.format("{0},{1},{2}", stochKInput, stochDInput, stochSmoothInput), stochVal, na, 0, stochEnabled) // 3. Calculate score for each rsiPulse.calculateScore() macdPulse.calculateScore() stochPulse.calculateScore() // 4. Add the new indicator to the array array indicatorArray = array.from(rsiPulse, macdPulse, stochPulse) MarketPulse pulse = MarketPulse.new(indicatorArray, 0, 0.0) // 5. Calculate final totals pulse.calculateTotals() pulse // Finally, update the function call in the main orchestration section: MarketPulse marketPulse = f_getMarketPulse(rsiEnabledInput, macdEnabledInput, stochEnabledInput) #### Step 3: Define the Scoring Logic Now, you need to define how the Stochastic contributes to the score. Go to the `calculateScore()` method and add a new case to the `switch` statement for your indicator. Here's a sample scoring logic for the Stochastic, which gives a strong bullish score in oversold conditions and a strong bearish score in overbought conditions. Here is the complete, updated `calculateScore()` method : // Method to calculate the score for this specific indicator. method calculateScore(PulseIndicator this) => if not this.isEnabled this.score := 0 else this.score := switch this.name "RSI" => this.value > 65 ? 2 : this.value > 50 ? 1 : this.value < 35 ? -2 : this.value < 50 ? -1 : 0 "MACD" => this.value > this.signalValue and this.value > 0 ? 2 : this.value > this.signalValue ? 1 : this.value < this.signalValue and this.value < 0 ? -2 : this.value < this.signalValue ? -1 : 0 "Stoch" => this.value > 80 ? -2 : this.value > 50 ? 1 : this.value < 20 ? 2 : this.value < 50 ? -1 : 0 => 0 this #### That's It! You're done. You do not need to modify the dashboard table or the total score calculation. Because the `MarketPulse` object holds its indicators in an array , the rest of the script is designed to be adaptive: The `calculateTotals()` method automatically loops through every indicator in the array to sum the scores and calculate the final percentage. The dashboard code loops through the `enabledIndicators` array to draw the table. Since your new Stochastic indicator is now part of that array, it will appear automatically when enabled! --- Remember, this is your playground! I'm genuinely excited to see the unique shapes you discover. If you create something you're proud of, feel free to share it in the comments below. Happy analyzing, and may your charts be both insightful and beautiful! 💛
Pine Script® 인디케이터
hapharmonic의
Position Size CalculatorPosition Size Calculator This open-source Pine Script® indicator helps traders manage risk by calculating position size, margin, and risk/reward based on account size, leverage, entry, stop-loss, and take-profit. It features a customizable table and optional chart lines/labels for clear trade planning across stocks, forex, crypto, and futures. What It Does - Position Size: Computes units to trade based on risk percentage and stop-loss distance, capped by leverage. - Margin: Calculates initial margin in base currency and USD, with account size percentage. - Risk/Reward: Shows risk-reward ratio, percentage price movements, and USD gains/losses. - Visualization: Displays results in a table and optional chart lines/labels with customizable styles. How It Works - Precision: Adjusts price formatting using syminfo.mintick for accuracy across assets. - Calculations: Position size = accountSize * (riskPercent / 100) / |entry - stoploss|, capped by accountSize * leverage / entry. Margin = positionSize / leverage. Risk-reward = |takeprofit - entry| / |stoploss - entry|. - Display: Table shows metrics; optional lines/labels plot entry, stop-loss, and take-profit with percentage and USD details. How to Use - Set Inputs: 1- Account Size (USD): Your capital (e.g., 1000). 2- % Risk per Trade: Risk tolerance (e.g., 1%). 3- Leverage: Broker leverage (e.g., 1x, 10x). 4- Entry, Stop Loss, Take Profit: Trade prices. 5- Show Lines and Labels: Enable chart overlays. - Customize: Adjust table position, colors, and line styles (Solid, Dashed, Dotted). - View Results: Table shows position size, margin, and risk/reward. Chart lines/labels (if enabled) display prices, percentages, and USD outcomes. - Apply: Use metrics for trade execution; modify code for custom features. Notes - Ensure valid inputs (entry ≠ stop-loss, both positive) to avoid “N/A”. - Open-source: Inspect or extend the code for your needs. - Contact the author via TradingView for feedback.
Pine Script® 인디케이터
traderharo의
AMD [TakingProphets]Overview The AMD indicator is a real-time, high-resolution tool designed for traders following ICT methodology who want a clear visualization of higher timeframe (HTF) candles directly on their lower timeframe charts. It overlays current HTF structure, including open, high, low, and close projections, allowing traders to align intraday decisions with institutional price delivery — all without switching timeframes. Concept & Background In ICT concepts, market behavior often follows a pattern of accumulation, manipulation, and distribution. Understanding these phases is essential for anticipating when price is likely to expand or reverse. AMD automates this process by: -Overlaying HTF candles directly on your lower timeframe chart. -Projecting live levels like the current open, high, low, and close to map out evolving bias. -Helping traders see whether price is accumulating orders, engineering liquidity sweeps, or distributing aggressively. Key Features Live HTF Candle Overlay -Displays the full HTF candle — body, wicks, and directional bias — on your active chart in real time. -Perfect for traders aligning intraday setups with broader HTF context. Dynamic HTF Price Projections -Plots the evolving open, high, low, and close for the current HTF candle. -Each projection can be customized by color, style, labels, and visibility to fit your workflow. Full Customization Control -Adjust candle body widths, wick styles, and transparency. -Configure projection lines and time labels in both 12h and 24h formats. -Includes an optional Info Box showing instrument, timeframe, and session context. Session Timing & Labeling -Smart timestamping marks the start and close of each HTF candle. -Helps traders anticipate potential expansions or reversals during killzones or liquidity events. How to Use It Select Your HTF Context -Choose any timeframe overlay (e.g., 1H, 4H, 1D) to match your trading model. -Monitor Live HTF Levels -Watch how price interacts with current HTF highs, lows, and equilibrium levels in real time. -Integrate With ICT Concepts -Use alongside tools like SMT divergence, Order Blocks, or Liquidity Levels for confirmation and context. -Refine Intraday Entries -Check whether price is expanding in your favor before entering positions. Best Practices Combine AMD with ICT killzone sessions to monitor HTF behavior during high-liquidity periods. Use it alongside correlated SMT divergence tools for stronger directional bias confirmation. Who It’s For Scalpers anchoring quick entries to HTF sentiment. Intraday traders syncing 5m/15m setups with 1H/4H context. Swing traders monitoring HTF ranges without switching charts. Educators & analysts needing clean visual overlays for teaching and content creation. Why It’s Useful AMD doesn’t provide trading signals or predictive guarantees. Instead, it offers a clean, structured view of HTF price delivery — enabling traders to understand institutional intent as it unfolds and manage their execution with greater confidence.
Pine Script® 인디케이터
TakingProphets의
Ai Golden Support and Resistance Adaptive Support & Resistance (ADR-scaled ABCD + Breakout/Retest Zones) What it does This indicator detects actionable support/resistance zones from swing structure and breakout events, then keeps each zone active until it’s invalidated by price. It adapts zone sensitivity using Average Daily Range (ADR) so the same rules scale across symbols and vol regimes. Core Logic (high level) Swing & ABCD pattern seed Detects alternating pivots (high–low–high–low or low–high–low–high) using a user-selected lookback. Validates basic AB–BC–CD proportions: BC must retrace a portion of AB; CD must extend BC within a set range. From a valid sequence, sets a candidate level (top for bearish, bottom for bullish). Breakout confirmation A level becomes confirmed when price closes beyond it (crossover/crossunder). On confirmation, the script draws a dotted reference line and records how many bars elapsed from the seed pivot to breakout. That count defines the lookback window used for local extremes. Zone construction Supply (bearish): builds a box around the most recent local range near the bearish seed; Demand (bullish): builds a box around the most recent local range near the bullish seed. Each zone’s height is derived from nearby extremes and the seed swing, so boxes reflect local structure rather than fixed pip widths. Volatility normalization (ADR%) ADR is computed from daily candles. The Risk Profile input (“High/Medium/Low”) scales required move sizes using ADR%, and adjusts pivot sensitivity (fewer/more bars). Higher risk → more sensitive (smaller ADR %, tighter pivot lookback). Lower risk → stricter filters (larger ADR %, wider pivot lookback). Explosive-move filter (streak logic) Searches the seeded lookback for consecutive same-color candles (config via the risk profile). Requires the cumulative % move of that streak to exceed an ADR-scaled threshold. When found, the zone is tagged as originating from an “explosive” move (potentially higher reaction probability). Zone persistence & invalidation Zones persist and auto-extend to the right until invalidated. Invalidation occurs when price closes through a rule-based threshold derived from the seed structure (stored per zone). Once invalidated, the zone is marked inactive and stops updating. Inputs & Controls Risk Profile: High / Medium / Low (sets pivot lookback, streak length, and ADR% thresholds). Labels & Visuals: Toggle labels and level lines; set line width. Colors/Boxes: Supply (red), Demand (green); dotted breakout references. No broker/session settings are required; the script adapts per symbol via ADR. On-Chart Elements Dotted breakout lines at confirmed levels (with measured bars-to-breakout). Supply/Demand boxes that extend until invalidation. Optional labels for clarity; minimal clutter by default. How to Use Context: Use higher-TF context for bias; apply zones on your trading TF. Confluence: Combine zones with your own triggers (structure breaks, rejection wicks, momentum shifts). Invalidation: If price closes beyond a zone’s invalidation threshold, treat that zone as inactive. Sensitivity: If too many zones appear, switch to Medium/Low Risk (stricter ADR% & pivots); if too few, use High Risk. Notes & Limitations Logic is rule-based; there is no machine learning. Daily ADR is computed from D timeframe, so intraday charts inherit daily volatility context. Results vary by symbol and timeframe; validate settings per market. This is an indicator (no orders or P/L).
Pine Script® 인디케이터
GoldenCryptoSignals의
B A N K $ - Breaks & SweepsThis indicator automatically maps on Breaks of Structure & Liquidity Sweeps. It works by calculating pivot points based on how many candles are above/below either side of a pivot. The user can manually set how many candles need to be above/below either side of a pivot if they would prefer to change it. The indicator will dynamically adjust the lines as the user changes timeframe to allow for seamless analysis. Features Break of Structure lines Liquidity Sweep lines Dealing Range - this allows the user to visualise the current dealing range Explanation A sweep is determined by whether a candle closes through a pivot point with a body closure or not. If the candle wicks this level but fails to close through it, the line will turn red to indicate a liquidity sweep. If the following 3 candles go on to close through the break line, this will then update it from a red sweep line to the normal break line again. (sometimes the initial candle that touches a level will not close through it but price will continue to break that level in the next few candles).
Pine Script® 인디케이터
wintonbanks의
Ultimate Pattern ScannerSmart Pattern Scanner Pro - Complete Study Guide The Smart Pattern Scanner Pro is an advanced candlestick pattern recognition indicator that automatically detects over 30 traditional Japanese candlestick patterns across multiple timeframes simultaneously. It combines pattern recognition with volume analysis and trend confirmation to provide traders with comprehensive reversal and continuation signals. Core Features: • 30+ Candlestick Patterns: Complete library of traditional patterns • Multi-Timeframe Scanning: Simultaneous analysis across up to 7 timeframes • Volume Integration: Buy/sell volume analysis with pattern confirmation • Trend Filtering: SMA-based trend confirmation for pattern validity • Real-Time Dashboard: Professional interface with customizable display • Alert System: Automated notifications when patterns are detected ________________________________________ Candlestick Pattern Categories Reversal Patterns (Bullish) Single Candle Patterns 1. Hammer o Formation: Small body at top, long lower shadow (2x body size) o Signal: Bullish reversal after downtrend o Reliability: High when confirmed with volume o Entry: Above hammer high with stop below low 2. Inverted Hammer o Formation: Small body at bottom, long upper shadow o Signal: Potential bullish reversal (needs confirmation) o Reliability: Medium (requires next candle confirmation) o Entry: Confirmed breakout above pattern 3. Dragonfly Doji o Formation: Open = Close, long lower shadow, no upper shadow o Signal: Strong bullish reversal signal o Reliability: High in downtrends o Entry: Above doji high with tight stop 4. Long Lower Shadow o Formation: Lower shadow 2x body length o Signal: Rejection of lower prices, bullish sentiment o Reliability: Medium to high with volume o Entry: Above candle high Multi-Candle Patterns 1. Bullish Engulfing o Formation: Large white candle completely engulfs previous black candle o Signal: Strong bullish reversal o Reliability: Very high with volume confirmation o Entry: Above engulfing candle high 2. Morning Star o Formation: 3-candle pattern (down, small, up) o Signal: Major bullish reversal o Reliability: Excellent (one of most reliable patterns) o Entry: Above third candle high 3. Morning Doji Star o Formation: Like Morning Star but middle candle is doji o Signal: Strong bullish reversal o Reliability: Very high o Entry: Above third candle close 4. Piercing Pattern o Formation: White candle opens below previous low, closes above midpoint o Signal: Bullish reversal o Reliability: High when closing >50% into previous candle o Entry: Above piercing candle high 5. Bullish Harami o Formation: Small white candle within previous large black candle o Signal: Potential bullish reversal o Reliability: Medium (needs confirmation) o Entry: Above mother candle high Reversal Patterns (Bearish) Single Candle Patterns 1. Shooting Star o Formation: Small body at bottom, long upper shadow o Signal: Bearish reversal after uptrend o Reliability: High with volume confirmation o Entry: Below shooting star low 2. Hanging Man o Formation: Like hammer but appears in uptrend o Signal: Potential bearish reversal o Reliability: Medium (needs confirmation) o Entry: Below hanging man low 3. Gravestone Doji o Formation: Open = Close, long upper shadow, no lower shadow o Signal: Strong bearish reversal o Reliability: High in uptrends o Entry: Below doji low 4. Long Upper Shadow o Formation: Upper shadow 2x body length o Signal: Rejection of higher prices o Reliability: Medium to high o Entry: Below candle low Multi-Candle Patterns 1. Bearish Engulfing o Formation: Large black candle engulfs previous white candle o Signal: Strong bearish reversal o Reliability: Very high o Entry: Below engulfing candle low 2. Evening Star o Formation: 3-candle pattern (up, small, down) o Signal: Major bearish reversal o Reliability: Excellent o Entry: Below third candle low 3. Dark Cloud Cover o Formation: Black candle opens above previous high, closes below midpoint o Signal: Bearish reversal o Reliability: High when closing <50% into previous candle o Entry: Below dark cloud low Continuation Patterns 1. Rising Three Methods o Formation: White candle, 3 small declining candles, white candle o Signal: Bullish continuation o Reliability: High in strong uptrends 2. Falling Three Methods o Formation: Black candle, 3 small rising candles, black candle o Signal: Bearish continuation o Reliability: High in strong downtrends Indecision Patterns 1. Doji o Formation: Open = Close (or very close) o Signal: Market indecision, potential reversal o Reliability: Context-dependent 2. Spinning Tops o Formation: Small body with upper and lower shadows o Signal: Market indecision o Reliability: Low without confirmation ________________________________________ Multi-Timeframe Analysis Timeframe Hierarchy Strategy Primary Analysis Flow: 1. Higher Timeframe (Daily/Weekly): Establish overall trend direction 2. Intermediate Timeframe (4H/1H): Identify key support/resistance levels 3. Lower Timeframe (15M/5M): Precise entry and exit timing Configuration Guidelines: • Scalping: 1M, 3M, 5M, 15M, 30M • Day Trading: 5M, 15M, 30M, 1H, 4H • Swing Trading: 1H, 4H, 1D, 1W • Position Trading: 4H, 1D, 1W, 1M Pattern Confluence Rules: 1. High Probability Setup: Same pattern type appears on 3+ timeframes 2. Trend Alignment: Reversal patterns should align with higher timeframe structure 3. Volume Confirmation: Strong volume on pattern timeframe and higher timeframes ________________________________________ Volume Analysis Integration Volume Components: 1. Buy Volume: Volume when close > open (green candles) 2. Sell Volume: Volume when close ≤ open (red candles) 3. Volume Ratio: Current volume / 20-period moving average 4. Progress Indicator: Visual representation of volume strength Volume Signal Interpretation: • Ratio >1.5: Strong volume confirmation • Ratio 1.0-1.5: Moderate volume support • Ratio <1.0: Weak volume (pattern less reliable) Volume Analysis Rules: 1. Bullish Patterns: Require strong buy volume for confirmation 2. Bearish Patterns: Require strong sell volume for confirmation 3. Volume Divergence: When pattern and volume disagree, favor volume 4. Volume Spikes: Ratios >2.0 indicate institutional interest ________________________________________ Live Market Application Step 1: Dashboard Setup 1. Position Selection: Choose optimal table position for your layout 2. Timeframe Configuration: Set relevant timeframes for your strategy 3. Volume Analysis: Enable for confirmation signals 4. Progress Indicators: Enable for visual signal strength Step 2: Pattern Identification Process Real-Time Scanning: 1. Monitor Multiple Timeframes: Check all configured timeframes simultaneously 2. Pattern Priority: Focus on patterns appearing on higher timeframes first 3. Signal Confluence: Look for patterns appearing across multiple timeframes 4. Volume Confirmation: Verify adequate volume support Pattern Validation: 1. Trend Context: Ensure pattern aligns with overall market structure 2. Support/Resistance: Check if pattern forms at key levels 3. Market Conditions: Consider overall market volatility and sentiment 4. Time of Day: Be aware of session characteristics (open, close, lunch) Step 3: Entry Decision Matrix High Probability Entries: • Pattern on 3+ timeframes • Strong volume confirmation (ratio >1.5) • Trend alignment with higher timeframes • Formation at key support/resistance Medium Probability Entries: • Pattern on 2 timeframes • Moderate volume (ratio 1.0-1.5) • Partial trend alignment • Formation in trending market Low Probability Entries: • Single timeframe pattern • Weak volume (ratio <1.0) • Counter-trend formation • Choppy/sideways market ________________________________________ Pattern Reliability Assessment Tier 1 Patterns (Highest Reliability - 70-80% success rate): • Morning Star / Evening Star • Bullish/Bearish Engulfing • Three White Soldiers / Three Black Crows • Hammer (in strong downtrend) • Shooting Star (in strong uptrend) Tier 2 Patterns (High Reliability - 60-70% success rate): • Piercing Pattern / Dark Cloud Cover • Morning/Evening Doji Star • Harami patterns • Abandoned Baby • Kicking patterns Tier 3 Patterns (Moderate Reliability - 50-60% success rate): • Doji patterns • Tweezer Tops/Bottoms • Window patterns • Tasuki Gap patterns • Marubozu patterns Tier 4 Patterns (Lower Reliability - 40-50% success rate): • Spinning Tops • Long shadow patterns (single) • Neutral doji formations • Single candle continuation patterns ________________________________________ Trading Strategies Strategy 1: Multi-Timeframe Reversal Objective: Catch major trend reversals using high-reliability patterns Rules: 1. Wait for Tier 1 patterns on Daily + 4H timeframes 2. Require volume ratio >1.5 on both timeframes 3. Enter on 1H confirmation candle 4. Stop loss below/above pattern extreme 5. Target 2:1 or 3:1 risk-reward ratio Strategy 2: Intraday Scalping Objective: Quick profits from short-term pattern formations Rules: 1. Focus on 5M and 15M timeframes 2. Trade only Tier 1 and Tier 2 patterns 3. Require volume confirmation 4. Quick exits (10-30 pip targets) 5. Tight stops (5-15 pips) Strategy 3: Swing Trading Objective: Multi-day position holding based on pattern signals Rules: 1. Use Daily and Weekly timeframes 2. Focus on major reversal patterns 3. Combine with fundamental analysis 4. Wider stops (2-5% of entry price) 5. Hold for 5-20 trading days Strategy 4: Trend Continuation Objective: Enter trending markets using continuation patterns Rules: 1. Identify strong trends on higher timeframes 2. Wait for continuation patterns on lower timeframes 3. Enter in direction of main trend 4. Trail stops using pattern lows/highs 5. Pyramid positions on additional patterns ________________________________________ Risk Management Position Sizing Rules: 1. Tier 1 Patterns: Risk up to 2% of account 2. Tier 2 Patterns: Risk up to 1.5% of account 3. Tier 3 Patterns: Risk up to 1% of account 4. Tier 4 Patterns: Risk up to 0.5% of account Stop Loss Guidelines: 1. Reversal Patterns: Stop beyond pattern extreme + 1 ATR 2. Continuation Patterns: Stop at pattern invalidation level 3. Doji Patterns: Tight stops due to indecision nature 4. Multi-Candle Patterns: Use pattern range for stop placement Take Profit Strategies: 1. Conservative: 1:1 risk-reward ratio 2. Moderate: 2:1 risk-reward ratio 3. Aggressive: 3:1 risk-reward ratio 4. Trailing: Move stops to breakeven after 1:1 achieved ________________________________________ Limitations and Considerations Technical Limitations: 1. Pattern Subjectivity: Slight variations in pattern interpretation 2. Market Context Dependency: Patterns perform differently in various market conditions 3. False Signals: Not all patterns lead to expected price moves 4. Lagging Nature: Patterns are confirmed after formation is complete Market Condition Considerations: 1. Trending Markets: Continuation patterns more reliable than reversals 2. Range-Bound Markets: Reversal patterns at extremes more effective 3. High Volatility: Patterns may not develop properly 4. News Events: Fundamental factors can override technical patterns Optimal Usage Conditions: 1. Liquid Markets: Adequate volume and participation 2. Normal Volatility: Not during extreme market stress 3. Clear Market Structure: Defined support and resistance levels 4. Multiple Timeframe Alignment: Confluence across timeframes When NOT to Trade Patterns: 1. Major News Releases: Economic announcements can invalidate patterns 2. Market Holidays: Reduced participation affects reliability 3. Extreme Volatility: VIX >30 or similar stress indicators 4. Gap Openings: Large gaps can negate pattern significance ________________________________________ Risk Disclaimer CRITICAL WARNING FROM aiTrendview TRADING FINANCIAL INSTRUMENTS INVOLVES SUBSTANTIAL RISK OF LOSS This Smart Pattern Scanner Pro indicator ("the Indicator") is provided for educational and analytical purposes only. By using this indicator, you acknowledge and accept the following terms and conditions: No Financial Advice • NOT INVESTMENT ADVICE: This indicator does not constitute financial, investment, or trading advice • NO RECOMMENDATIONS: Pattern signals are not recommendations to buy or sell any financial instrument • EDUCATIONAL TOOL: Designed for learning technical analysis concepts and pattern recognition • INDEPENDENT RESEARCH REQUIRED: Always conduct your own thorough analysis before making trading decisions Substantial Trading Risks • CAPITAL LOSS RISK: You may lose some or all of your trading capital • LEVERAGE DANGERS: Margin trading can amplify losses beyond your initial investment • MARKET VOLATILITY: Financial markets are inherently unpredictable and can move against any analysis • PATTERN FAILURE: Candlestick patterns fail frequently and do not guarantee profitable outcomes • FALSE SIGNALS: The indicator may generate incorrect or misleading signals Technical Analysis Limitations • NOT PREDICTIVE: Candlestick patterns analyze past price action, not future movements • SUBJECTIVE INTERPRETATION: Pattern recognition can vary between traders and market conditions • CONTEXT DEPENDENT: Patterns must be analyzed within broader market context • NO GUARANTEE: No technical analysis method guarantees trading success • STATISTICAL PROBABILITY: Even high-reliability patterns fail 20-30% of the time User Responsibilities • SOLE RESPONSIBILITY: You are entirely responsible for all trading decisions and outcomes • RISK MANAGEMENT: Implement appropriate position sizing and stop-loss strategies • PROFESSIONAL CONSULTATION: Seek advice from qualified financial professionals • REGULATORY COMPLIANCE: Ensure compliance with local financial regulations • CONTINUOUS EDUCATION: Maintain ongoing education in market analysis and risk management Indicator Limitations • SOFTWARE BUGS: Technical glitches or calculation errors may occur • DATA DEPENDENCY: Relies on accurate price and volume data feeds • PLATFORM LIMITATIONS: Subject to TradingView platform capabilities and restrictions • VERSION UPDATES: Functionality may change with future updates • COMPATIBILITY: May not work optimally with all chart configurations Volume Analysis Limitations • DATA ACCURACY: Volume data may be incomplete or delayed • MARKET VARIATIONS: Volume patterns differ across markets and instruments • INSTITUTIONAL ACTIVITY: Cannot guarantee detection of all institutional trading • LIQUIDITY FACTORS: Low liquidity markets may produce unreliable volume signals Multi-Timeframe Considerations • CONFLICTING SIGNALS: Different timeframes may show contradictory patterns • TIME SYNCHRONIZATION: Pattern timing may vary across timeframes • COMPUTATIONAL LOAD: Multiple timeframe analysis may affect performance • COMPLEXITY RISK: More data does not necessarily mean better decisions Specific Trading Warnings Pattern-Specific Risks: 1. Doji Patterns: Indicate indecision, not directional conviction 2. Single Candle Patterns: Generally less reliable than multi-candle formations 3. Continuation Patterns: May signal trend exhaustion rather than continuation 4. Gap Patterns: Subject to overnight and weekend gap risks Market Condition Risks: 1. News Events: Fundamental factors can invalidate any technical pattern 2. Market Manipulation: Large players can create false pattern signals 3. Algorithmic Trading: High-frequency trading can distort traditional patterns 4. Market Crashes: Extreme events render technical analysis ineffective Psychological Trading Risks: 1. Overconfidence: Successful patterns may lead to excessive risk-taking 2. Pattern Addiction: Over-reliance on patterns without broader analysis 3. Confirmation Bias: Seeing patterns that don't actually exist 4. Emotional Trading: Fear and greed can override pattern discipline Legal and Regulatory Disclaimers Intellectual Property: • COPYRIGHT PROTECTION: This indicator is protected by copyright law • AUTHORIZED USE ONLY: Use only as permitted by TradingView terms of service • NO REDISTRIBUTION: Unauthorized copying or redistribution is prohibited • MODIFICATION RESTRICTIONS: Code modifications may void any support or warranties Regulatory Compliance: • LOCAL LAWS: Ensure compliance with your jurisdiction's financial regulations • LICENSING REQUIREMENTS: Some jurisdictions require licenses for trading or advisory activities • TAX OBLIGATIONS: Trading profits/losses may have tax implications • REPORTING REQUIREMENTS: Some jurisdictions require reporting of trading activities Limitation of Liability: • NO LIABILITY: aiTrendview accepts no liability for any losses, damages, or adverse outcomes • INDIRECT DAMAGES: Not liable for consequential, incidental, or punitive damages • MAXIMUM LIABILITY: Limited to amount paid for indicator access (if any) • FORCE MAJEURE: Not responsible for events beyond reasonable control Final Warnings and Recommendations Before Using This Indicator: 1. DEMO TRADING: Practice extensively with paper trading before risking real money 2. EDUCATION: Thoroughly understand candlestick pattern theory and market dynamics 3. RISK ASSESSMENT: Honestly assess your risk tolerance and financial situation 4. PROFESSIONAL ADVICE: Consult with qualified financial advisors 5. START SMALL: Begin with minimal position sizes to test strategies Red Flags - Do NOT Trade If: • You cannot afford to lose the money you're risking • You're experiencing financial stress or pressure • You're trading emotionally or impulsively • You don't understand the patterns or market mechanics • You're using borrowed money or credit to trade • You're treating trading as gambling rather than calculated risk-taking Emergency Procedures: • STOP TRADING immediately if experiencing significant losses • SEEK HELP if trading is affecting your mental health or relationships • REVIEW STRATEGY after any series of losses • TAKE BREAKS from trading to maintain perspective • PROFESSIONAL HELP: Contact financial counselors if needed Acknowledgment Required By using the Smart Pattern Scanner Pro indicator, you explicitly acknowledge that: 1. You have read and understood this entire disclaimer 2. You accept full responsibility for all trading decisions and outcomes 3. You understand the substantial risks involved in financial trading 4. You will not hold aiTrendview liable for any losses or damages 5. You will use this tool only for educational and personal analysis purposes 6. You will comply with all applicable laws and regulations 7. You will implement appropriate risk management practices 8. You understand that past performance does not predict future results REMEMBER: The most important rule in trading is capital preservation. No pattern, indicator, or strategy is worth risking your financial well-being. ________________________________________ Disclaimer from aiTrendview.com The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Pine Script® 인디케이터
aiTrendview-Charting-System의
Trend Score Raw Data Trend Score Raw Data: 🚨This indicator is to support the Trend Score Stop Loss indicator. This indicator is to show the raw data and change within of the trend score. Advanced user to predict when trend score could change and understand the strength of the current trend score. 🔹 How Trend Score Works • The trend score is calculated only during RTH and resets at the start of each new session. • Each candle contributes to the score as follows: • ✅ Breaks previous high → +1 • ❌ Breaks previous low → –1 • ⚖️ Breaks both high and low → 0 (–1 + 1 cancel out) • 💤 Breaks neither high nor low → 0 🔹 Determining the First Trend • The first valid session trend is established when the cumulative score hits +3 or –3. • +3 → Start of a Bull Trend • –3 → Start of a Bear Trend There are 3 types of data in the panel: The real trend score raw data cumulative in the RTH session. The slope of trend score. (slope is calculated based on 9 candles, you can adjust your own setting) The delta change of trend score per candle based on previous high/low. You can deselect the slope of the trend score function if you don't need it.
Pine Script® 인디케이터
DeLeBlanc의
Luxy trend & Momentum Indicators Suit V2Luxy Trend & Momentum Indicator Suite V2 The Luxy Trend & Momentum Suite V2 is a multi-purpose technical analysis tool designed to help traders quickly identify high-probability trend-following and momentum-based entries across timeframes. This tool combines the most battle-tested market filters (EMAs, VWAP, MACD, ZLSMA, Supertrend, UT Bot, Volume/ADX/RSI filters) into a unified signal framework — backed by an optional Bias Table that displays alignment across methods and timeframes. BACKGROUND — ABOUT THIS METHOD This Indicators Suite is based on momentum-trend alignment , a trading methodology that: * Confirms trend structure using moving averages (EMA crossovers & price vs EMA-200), * Validates trend strength using MACD separation, volume pressure, and ADX confirmation, * Confirms timing using momentum oscillators (RSI pullbacks), VWAP positioning, and trend filters, * Optionally delays entries using the UT Bot trailing confirmation or Supertrend . It's a multi-layered filtering helps reduce false signals, especially in choppy conditions. USAGE This indicator is best suited for: Intraday trend trading (scalping or day trading), Swing trading based on HTF confirmation (1D/1W), Combining bias + technical signal + volume + price context for cleaner entries. It is especially powerful on assets with well-defined structure (e.g., crypto, indices, high-volume stocks). Signal Labels The script plots `LONG` (green) or `SHORT` (red) labels when all your configured filters align. ✅ To use these labels effectively: Only take LONG signals when the bias table shows green ("BULLISH"), Only take SHORT when the bias table shows red ("BEARISH"), Avoid signals on NEUTRAL bias (gray), or consider smaller positions. Bias Table Panel The indicator features a compact Bias summary table , showing the current directional bias from: Timeframe trends (1H, 4H, 1D) Indicator states (EMA cross, EMA200, VWAP, MACD, ZLSMA, UT Bot, Supertrend) Each cell is color-coded: 🟢 Green = Bullish 🔴 Red = Bearish ⚪ Gray = Neutral Trend Filters These are the primary trend components: EMA Short vs Long : Fast/Slow structure EMA-200 : Long-term bias ZLSMA : Zero-lag regression slope Supertrend : Dynamic trendline with noise-filtering UT Bot : ATR-based trailing signal with optional filters (swing, %change, delay) Momentum & Entry Filters The indicator offers several modular filters to refine entry signals: ✅ MACD Separation : Requires a minimum spread between MACD and Signal line (adjustable in ATR units). ✅ VWAP Filter : Confirms that price is above/below anchored VWAP. ✅ RSI Pullback Zone : Only triggers signals when RSI is between configured pullback ranges. ✅ Volume Strength : Only confirms signals when current volume is above SMA × factor (e.g. 1.2×). ✅ ADX/DI Filter : Enforces trend strength requirements based on ADX, DI+ and DI-. RECOMMENDED WORKFLOWS 🔹 Intraday Trend Trading Primary TF: "1H" Confirmation: "4H" Bias method: EMA(20/50) or ZLSMA Lookback: 5 bars VWAP: Session anchor UT Bot: Enabled with 1.3 sensitivity, ATR=10 🔹 Swing Trading Primary TF: "1D" Confirmation: "1W" Bias method: EMA(20/50) or MACD Lookback: 10–20 VWAP: Weekly or Monthly UT Bot: Disabled or conservative (1.7 key, ATR=14) 🔹 Position Trading Primary: "1W" Confirmation: "1M" Bias method: EMA(50/200) Filters: Strong MACD + Volume + ADX UT: Disabled SETTINGS You can customize: All EMA lengths (short, long, very long) MACD periods and buffer thresholds VWAP anchor and bands mode (Std Dev or %) ZLSMA length and offset UT Bot sensitivity, ATR, and filters Supertrend ATR logic and neutral bars Volume, ADX, RSI, and Donchian breakouts Table text size, position, and visibility Each input includes tooltips with suggested ranges and explanations. 🔶 LIMITATIONS This is an **indicator**, not a strategy. It does **not place orders**. UT Bot and Bias alignment work better on assets with structure and volume. Repainting is avoided by using bar close logic where possible. Corporate-event VWAPs (Earnings, Dividends) depend on data availability. Always backtest , adjust filters per asset, and confirm entries with price action and context. 📧 Feedback & improvement requests:
Pine Script® 인디케이터
orenluxy의
MTF CRT Setup Finder (Raids + BOS linked)//@version=6 indicator("MTF CRT Setup Finder (Raids + BOS linked)", overlay=true, max_lines_count=500) // === INPUTS === lookback = input.int(5, "Swing Lookback Bars", minval=2) // === Function: Detect swing highs/lows === swingHigh(src, lb) => ta.pivothigh(src, lb, lb) swingLow(src, lb) => ta.pivotlow(src, lb, lb) // === Function: Detect CRT with memory === f_crt(tf) => hi = request.security(syminfo.tickerid, tf, high) lo = request.security(syminfo.tickerid, tf, low) cl = request.security(syminfo.tickerid, tf, close) sh = request.security(syminfo.tickerid, tf, swingHigh(high, lookback)) sl = request.security(syminfo.tickerid, tf, swingLow(low, lookback)) raidHigh = not na(sh) and hi > sh and cl < sh raidLow = not na(sl) and lo < sl and cl > sl // store last raid state var bool hadRaidHigh = false var bool hadRaidLow = false if raidHigh hadRaidHigh := true if raidLow hadRaidLow := true bosDown = hadRaidHigh and cl < sl bosUp = hadRaidLow and cl > sh // reset after BOS if bosDown hadRaidHigh := false if bosUp hadRaidLow := false // === Apply on H1 only first (test) === = f_crt("60") // === Plot === plotshape(raidHigh, title="Raid High", style=shape.diamond, color=color.red, size=size.small, text="Raid High") plotshape(raidLow, title="Raid Low", style=shape.diamond, color=color.green, size=size.small, text="Raid Low") plotshape(bosDown, title="Bearish CRT", style=shape.triangledown, color=color.red, size=size.large, text="CRT↓") plotshape(bosUp, title="Bullish CRT", style=shape.triangleup, color=color.green, size=size.large, text="CRT↑")
Pine Script® 인디케이터
ninodoteth의
STRAT 3-2-2 (30m) • Upcoming / Approach / Entry + AlertsThis indicator is built for The STRAT trading method, specifically the 3-2-2 reversal pattern. It monitors price action on the 30-minute timeframe (HTF = 30m) and visually/alert-wise highlights where a 3-2-2 setup, approach, or entry trigger occurs. --- ⚙️ How it works 1. Detects bar types: 3 (Outside Bar) = range breaks both high & low of the previous bar 2u (Up bar) = higher high, not outside 2d (Down bar) = lower low, not outside 1 (Inside bar) = fully contained within prior bar 2. Looks for 3-2-2 setups: Bullish 3-2-2 = 3 → 2d → 2u (expect reversal UP) Bearish 3-2-2 = 3 → 2u → 2d (expect reversal DOWN) 3. Defines trigger levels: Bullish trigger = high of the first “2d” bar Bearish trigger = low of the first “2u” bar 4. Signals 3 phases: Upcoming: pattern is forming, second “2” hasn’t triggered yet Approach: price comes within 50% (adjustable) of the trigger level Entry: price breaks the trigger (actual reversal confirmation) 5. Visualization: Labels above/below candles show “Approach” and “Entry” Background or bar colors (toggle in settings) highlight Setup / Approach / Entry Optional dotted line marks the trigger level for clarity --- 🔔 Alerts Two alert systems are built in: 1. Safe static conditions (for normal TradingView alert setup): APPROACH: Bullish 3-2-2 (30m) APPROACH: Bearish 3-2-2 (30m) ENTRY: Bullish 3-2-2 (30m) ENTRY: Bearish 3-2-2 (30m) 2. Dynamic messages (using alert() calls with price info): If you create an alert with “Any alert() function call”, the pop-up will include the trigger price. --- 📋 Inputs (Settings) Signal timeframe (HTF) → default 30m Confirm signals at HTF bar close → waits for bar close (non-repainting) Approach = % of first '2' bar range → default 50% Show labels → On/Off Color candles instead of background → toggle between candle color vs. chart background
Pine Script® 인디케이터
joktonk의
PnL Bubble [%] | Fractalyst1. What's the indicator purpose? The PnL Bubble indicator transforms your strategy's trade PnL percentages into an interactive bubble chart with professional-grade statistics and performance analytics. It helps traders quickly assess system profitability, understand win/loss distribution patterns, identify outliers, and make data-driven strategy improvements. How does it work? Think of this indicator as a visual report card for your trading performance. Here's what it does: What You See Colorful Bubbles: Each bubble represents one of your trades Blue/Cyan bubbles = Winning trades (you made money) Red bubbles = Losing trades (you lost money) Bigger bubbles = Bigger wins or losses Smaller bubbles = Smaller wins or losses How It Organizes Your Trades: Like a Photo Album: Instead of showing all your trades at once (which would be messy), it shows them in "pages" of 500 trades each: Page 1: Your first 500 trades Page 2: Trades 501-1000 Page 3: Trades 1001-1500, etc. What the Numbers Tell You: Average Win: How much money you typically make on winning trades Average Loss: How much money you typically lose on losing trades Expected Value (EV): Whether your trading system makes money over time Positive EV = Your system is profitable long-term Negative EV = Your system loses money long-term Payoff Ratio (R): How your average win compares to your average loss R > 1 = Your wins are bigger than your losses R < 1 = Your losses are bigger than your wins Why This Matters: At a Glance: You can instantly see if you're a profitable trader or not Pattern Recognition: Spot if you have more big wins than big losses Performance Tracking: Watch how your trading improves over time Realistic Expectations: Understand what "average" performance looks like for your system The Cool Visual Effects: Animation: The bubbles glow and shimmer to make the chart more engaging Highlighting: Your biggest wins and losses get extra attention with special effects Tooltips: hover any bubble to see details about that specific trade. What are the underlying calculations? The indicator processes trade PnL data using a dual-matrix architecture for optimal performance: Dual-Matrix System: • Display Matrix (display_matrix): Bounded to 500 trades for rendering performance • Statistics Matrix (stats_matrix): Unbounded storage for complete statistical accuracy Trade Classification & Aggregation: // Separate wins, losses, and break-even trades if val > 0.0 pos_sum += val // Sum winning trades pos_count += 1 // Count winning trades else if val < 0.0 neg_sum += val // Sum losing trades neg_count += 1 // Count losing trades else zero_count += 1 // Count break-even trades Statistical Averages: avg_win = pos_count > 0 ? pos_sum / pos_count : na avg_loss = neg_count > 0 ? math.abs(neg_sum) / neg_count : na Win/Loss Rates: total_obs = pos_count + neg_count + zero_count win_rate = pos_count / total_obs loss_rate = neg_count / total_obs Expected Value (EV): ev_value = (avg_win × win_rate) - (avg_loss × loss_rate) Payoff Ratio (R): R = avg_win ÷ |avg_loss| Contribution Analysis: ev_pos_contrib = avg_win × win_rate // Positive EV contribution ev_neg_contrib = avg_loss × loss_rate // Negative EV contribution How to integrate with any trading strategy? Equity Change Tracking Method: //@version=6 strategy("Your Strategy with Equity Change Export", overlay=true) float prev_trade_equity = na float equity_change_pct = na if barstate.isconfirmed and na(prev_trade_equity) prev_trade_equity := strategy.equity trade_just_closed = strategy.closedtrades != strategy.closedtrades if trade_just_closed and not na(prev_trade_equity) current_equity = strategy.equity equity_change_pct := ((current_equity - prev_trade_equity) / prev_trade_equity) * 100 prev_trade_equity := current_equity else equity_change_pct := na plot(equity_change_pct, "Equity Change %", display=display.data_window) Integration Steps: 1. Add equity tracking code to your strategy 2. Load both strategy and PnL Bubble indicator on the same chart 3. In bubble indicator settings, select your strategy's equity tracking output as data source 4. Configure visualization preferences (colors, effects, page navigation) How does the pagination system work? The indicator uses an intelligent pagination system to handle large trade datasets efficiently: Page Organization: • Page 1: Trades 1-500 (most recent) • Page 2: Trades 501-1000 • Page 3: Trades 1001-1500 • Page N: Trades to Example: With 1,500 trades total (3 pages available): • User selects Page 1: Shows trades 1-500 • User selects Page 4: Automatically falls back to Page 3 (trades 1001-1500) 5. Understanding the Visual Elements Bubble Visualization: • Color Coding: Cyan/blue gradients for wins, red gradients for losses • Size Mapping: Bubble size proportional to trade magnitude (larger = bigger P&L) • Priority Rendering: Largest trades displayed first to ensure visibility • Gradient Effects: Color intensity increases with trade magnitude within each category Interactive Tooltips: Each bubble displays quantitative trade information: tooltip_text = outcome + " | PnL: " + pnl_str + " Date: " + date_str + " " + time_str + " Trade #" + str.tostring(trade_number) + " (Page " + str.tostring(active_page) + ")" + " Rank: " + str.tostring(rank) + " of " + str.tostring(n_display_rows) + " Percentile: " + str.tostring(percentile, "#.#") + "%" + " Magnitude: " + str.tostring(magnitude_pct, "#.#") + "%" Example Tooltip: Win | PnL: +2.45% Date: 2024.03.15 14:30 Trade #1,247 (Page 3) Rank: 5 of 347 Percentile: 98.6% Magnitude: 85.2% Reference Lines & Statistics: • Average Win Line: Horizontal reference showing typical winning trade size • Average Loss Line: Horizontal reference showing typical losing trade size • Zero Line: Threshold separating wins from losses • Statistical Labels: EV, R-Ratio, and contribution analysis displayed on chart What do the statistical metrics mean? Expected Value (EV): Represents the mathematical expectation per trade in percentage terms EV = (Average Win × Win Rate) - (Average Loss × Loss Rate) Interpretation: • EV > 0: Profitable system with positive mathematical expectation • EV = 0: Break-even system, profitability depends on execution • EV < 0: Unprofitable system with negative mathematical expectation Example: EV = +0.34% means you expect +0.34% profit per trade on average Payoff Ratio (R): Quantifies the risk-reward relationship of your trading system R = Average Win ÷ |Average Loss| Interpretation: • R > 1.0: Wins are larger than losses on average (favorable risk-reward) • R = 1.0: Wins and losses are equal in magnitude • R < 1.0: Losses are larger than wins on average (unfavorable risk-reward) Example: R = 1.5 means your average win is 50% larger than your average loss Contribution Analysis (Σ): Breaks down the components of expected value Positive Contribution (Σ+) = Average Win × Win Rate Negative Contribution (Σ-) = Average Loss × Loss Rate Purpose: • Shows how much wins contribute to overall expectancy • Shows how much losses detract from overall expectancy • Net EV = Σ+ - Σ- (Expected Value per trade) Example: Σ+: 1.23% means wins contribute +1.23% to expectancy Example: Σ-: -0.89% means losses drag expectancy by -0.89% Win/Loss Rates: Win Rate = Count(Wins) ÷ Total Trades Loss Rate = Count(Losses) ÷ Total Trades Shows the probability of winning vs losing trades Higher win rates don't guarantee profitability if average losses exceed average wins 7. Demo Mode & Synthetic Data Generation When using built-in sources (close, open, etc.), the indicator generates realistic demo trades for testing: if isBuiltInSource(source_data) // Generate random trade outcomes with realistic distribution u_sign = prand(float(time), float(bar_index)) if u_sign < 0.5 v_push := -1.0 // Loss trade else // Skewed distribution favoring smaller wins (realistic) u_mag = prand(float(time) + 9876.543, float(bar_index) + 321.0) k = 8.0 // Skewness factor t = math.pow(u_mag, k) v_push := 2.5 + t * 8.0 // Win trade Demo Characteristics: • Realistic win/loss distribution mimicking actual trading patterns • Skewed distribution favoring smaller wins over large wins • Deterministic randomness for consistent demo results • Includes jitter effects to prevent visual overlap 8. Performance Limitations & Optimizations Display Constraints: points_count = 500 // Maximum 500 dots per page for optimal performance Pine Script v6 Limits: • Label Count: Maximum 500 labels per indicator • Line Count: Maximum 100 lines per indicator • Box Count: Maximum 50 boxes per indicator • Matrix Size: Efficient memory management with dual-matrix system Optimization Strategies: • Pagination System: Handle unlimited trades through 500-trade pages • Priority Rendering: Largest trades displayed first for maximum visibility • Dual-Matrix Architecture: Separate display (bounded) from statistics (unbounded) • Smart Fallback: Automatic page clamping prevents empty displays Impact & Workarounds: • Visual Limitation: Only 500 trades visible per page • Statistical Accuracy: Complete dataset used for all calculations • Navigation: Use page input to browse through entire trade history • Performance: Smooth operation even with thousands of trades 9. Statistical Accuracy Guarantees Data Integrity: • Complete Dataset: Statistics matrix stores ALL trades without limit • Proper Aggregation: Separate tracking of wins, losses, and break-even trades • Mathematical Precision: Pine Script v6's enhanced floating-point calculations • Dual-Matrix System: Display limitations don't affect statistical accuracy Calculation Validation: // Verified formulas match standard trading mathematics avg_win = pos_sum / pos_count // Standard average calculation win_rate = pos_count / total_obs // Standard probability calculation ev_value = (avg_win * win_rate) - (avg_loss * loss_rate) // Standard EV formula Accuracy Features: • Mathematical Correctness: Formulas follow established trading statistics • Data Preservation: Complete dataset maintained for all calculations • Precision Handling: Proper rounding and boundary condition management • Real-Time Updates: Statistics recalculated on every new trade 10. Advanced Technical Features Real-Time Animation Engine: // Shimmer effects with sine wave modulation offset = math.sin(shimmer_t + phase) * amp // Dynamic transparency with organic flicker new_transp = math.min(flicker_limit, math.max(-flicker_limit, cur_transp + dir * flicker_step)) • Sine Wave Shimmer: Dynamic glowing effects on bubbles • Organic Flicker: Random transparency variations for natural feel • Extreme Value Highlighting: Special visual treatment for outliers • Smooth Animations: Tick-based updates for fluid motion Magnitude-Based Priority Rendering: // Sort trades by magnitude for optimal visual hierarchy sort_indices_by_magnitude(values_mat) • Largest First: Most important trades always visible • Intelligent Sorting: Custom bubble sort algorithm for trade prioritization • Performance Optimized: Efficient sorting for real-time updates • Visual Hierarchy: Ensures critical trades never get hidden Professional Tooltip System: • Quantitative Data: Pure numerical information without interpretative language • Contextual Ranking: Shows trade position within page dataset • Percentile Analysis: Performance ranking as percentage • Magnitude Scaling: Relative size compared to page maximum • Professional Format: Clean, data-focused presentation 11. Quick Start Guide Step 1: Add Indicator • Search for "PnL Bubble | Fractalyst" in TradingView indicators • Add to your chart (works on any timeframe) Step 2: Configure Data Source • Demo Mode: Leave source as "close" to see synthetic trading data • Strategy Mode: Select your strategy's PnL% output as data source Step 3: Customize Visualization • Colors: Set positive (cyan), negative (red), and neutral colors • Page Navigation: Use "Trade Page" input to browse trade history • Visual Effects: Built-in shimmer and animation effects are enabled by default Step 4: Analyze Performance • Study bubble patterns for win/loss distribution • Review statistical metrics: EV, R-Ratio, Win Rate • Use tooltips for detailed trade analysis • Navigate pages to explore full trade history Step 5: Optimize Strategy • Identify outlier trades (largest bubbles) • Analyze risk-reward profile through R-Ratio • Monitor Expected Value for system profitability • Use contribution analysis to understand win/loss impact 12. Why Choose PnL Bubble Indicator? Unique Advantages: • Advanced Pagination: Handle unlimited trades with smart fallback system • Dual-Matrix Architecture: Perfect balance of performance and accuracy • Professional Statistics: Institution-grade metrics with complete data integrity • Real-Time Animation: Dynamic visual effects for engaging analysis • Quantitative Tooltips: Pure numerical data without subjective interpretations • Priority Rendering: Intelligent magnitude-based display ensures critical trades are always visible Technical Excellence: • Built with Pine Script v6 for maximum performance and modern features • Optimized algorithms for smooth operation with large datasets • Complete statistical accuracy despite display optimizations • Professional-grade calculations matching institutional trading analytics Practical Benefits: • Instantly identify system profitability through visual patterns • Spot outlier trades and risk management issues • Understand true risk-reward profile of your strategies • Make data-driven decisions for strategy optimization • Professional presentation suitable for performance reporting Disclaimer & Risk Considerations: Important: Historical performance metrics, including positive Expected Value (EV), do not guarantee future trading success. Statistical measures are derived from finite sample data and subject to inherent limitations: • Sample Bias: Historical data may not represent future market conditions or regime changes • Ergodicity Assumption: Markets are non-stationary; past statistical relationships may break down • Survivorship Bias: Strategies showing positive historical EV may fail during different market cycles • Parameter Instability: Optimal parameters identified in backtesting often degrade in forward testing • Transaction Cost Evolution: Slippage, spreads, and commission structures change over time • Behavioral Factors: Live trading introduces psychological elements absent in backtesting • Black Swan Events: Extreme market events can invalidate statistical assumptions instantaneously
Pine Script® 인디케이터
Fractalyst의
Capiba RSI + Ichimoku + VolatilidadeThe "Capiba RSI + Ichimoku + Volatility" indicator is a powerful, all-in-one technical analysis tool designed to provide traders with a comprehensive view of market dynamics directly on their price chart. This multi-layered indicator combines a custom Relative Strength Index (RSI), the trend-following Custom Ichimoku Cloud, and dynamic volatility lines to help identify high-probability trading setups. How It Works This indicator functions by overlaying three distinct, yet complementary, analysis systems onto a single chart, offering a clear and actionable perspective on a wide range of market conditions, from strong trends to periods of consolidation. 1. Custom RSI & Momentum Signals The core of this indicator is a refined version of the Relative Strength Index (RSI). It calculates a custom Ultimate RSI that is more sensitive to price movements, offering a quicker response to potential shifts in momentum. The indicator also plots a moving average of this RSI, allowing for the generation of clear trading signals. Use RMAs.   Bar Coloring: The color of the price bars on your chart dynamically changes to reflect the underlying RSI momentum. Blue bars indicate overbought conditions, suggesting trend and a potential short-term reversal.   Yellow bars indicate oversold conditions, hinting at a potential bounce.   Green bars signal bullish momentum, where the Custom RSI is above both 50 and its own moving average. Red bars indicate bearish momentum, as the Custom RSI is below both 50 and its moving average. Trading Signals: The indicator plots visual signals directly on the chart in the form of triangles to highlight key entry and exit points. A green triangle appears when the Custom RSI crosses above its moving average (a buy signal), while a red triangle marks a bearish crossunder (a sell signal). 2. Custom Ichimoku Cloud for Trend Confirmation This component plots a standard Ichimoku Cloud directly on the chart, providing a forward-looking view of trend direction, momentum, and dynamic support and resistance levels.   The cloud’s color serves as a strong visual cue for the prevailing trend: a green cloud indicates a bullish trend, while a red cloud signals a bearish trend.   The cloud itself acts as a dynamic support or resistance zone. For example, in an uptrend, prices are expected to hold above the cloud, which provides a strong support level for the market.   3. Dynamic Volatility Lines This final layer is a dynamic volatility channel that automatically plots the highest high and lowest low from a user-defined period. These lines create a visual representation of the recent price range, helping traders understand the current market volatility.   Volatility Ratio: A label is displayed on the chart showing a volatility ratio, which compares the current price range to a historical average. A high ratio indicates increasing volatility, while a low ratio suggests a period of price consolidation or lateral movement, a valuable insight for day traders.   The indicator is highly customizable, allowing you to adjust parameters like RSI length, overbought/oversold levels, Ichimoku periods, and volatility lookback periods to suit your personal trading strategy. It is an ideal tool for traders who rely on a combination of momentum, trend, and volatility to make well-informed decisions.
Pine Script® 인디케이터
guilhermecapiba의
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components: • Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD. • Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS). • Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing. Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price. The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator. ❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics). 💡 How to use: • Use on the 1D timeframe. • Look for divergences between BTC price and the macro index. • Apply in confluence with other technical or fundamental frameworks. 🔍 Originality: While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
Pine Script® 인디케이터
electronicRhin4023의