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Ranges by TraderHaroThis indicator highlights a custom price range for a selected date/time period on your chart. It draws key levels (0.00, 0.25, 0.50, 0.75, 1.00) within the range, visually marking the Premium Zone (upper range) and Discount Zone (lower range). Features: - Define a specific date/time range for the analysis. - Optional fill between top and bottom levels with customizable color and transparency. - Shows mid-levels (0.25, 0.50, 0.75) for additional guidance. - Lines and fill can be extended to the right side of the chart. - Labels for levels can be displayed or hidden. Use Case: Quickly identify where price is trading relative to a defined range, visualize potential zones of premium (resistance) and discount (support), and make better-informed trading decisions.
Penunjuk Pine Script®
oleh traderharo
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
Penunjuk Pine Script®
oleh Fractalyst
2
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.
Penunjuk Pine Script®
oleh electronicRhin4023
Student wyckoff relative strength Indicator cryptoRelative Strength Indicator crypto Student wyckoff rs symbol USDT.D Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Penunjuk Pine Script®
oleh StudentWyckoff
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! 💛
Penunjuk Pine Script®
oleh hapharmonic
3
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.
Penunjuk Pine Script®
oleh TakingProphets
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.
Penunjuk Pine Script®
oleh guilhermecapiba
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
Penunjuk Pine Script®
oleh joktonk
Market Pulse Dip RadarThis indicator is designed to help traders spot meaningful dips in price and then evaluate whether those dips are worth trading or not. It doesn’t just mark a dip; it also helps with risk management, trade planning, and filtering out weak signals. Here’s how it works: First, it looks at the recent high price and checks how much the market has dropped from that high. If the drop is larger than the minimum percentage you set, it marks it as a potential dip. Next, it checks the trend structure by using two moving averages (a fast one and a slow one). If the fast average is below the slow average, it means the market is in a weaker structure, and that dip is considered more valid. On top of that, you can enable a multi-timeframe filter. For example, if you are trading on the 15-minute chart, you can ask the indicator to confirm that the 1-hour trend is also supportive before showing you a dip. This helps avoid trading against the bigger trend. Risk management is built in. The indicator automatically suggests a stop-loss by combining volatility (ATR) and recent swing lows. It then draws three profit target levels (1x risk, 2x risk, and 3x risk). This makes it easier to plan where to exit if the trade works. A key part of this tool is the confidence score. Each dip signal is rated from 0 to 100. The score depends on how deep the dip is, how far apart the moving averages are, how healthy volatility is, and whether the higher timeframe supports the trade. The score is then labeled as High, Medium, Low, or Wait. This helps traders focus only on the stronger setups. On the chart, dip signals are marked with a diamond shape under the bars. The color of the diamond tells you if it’s high, medium, or low quality. When a signal appears, the indicator also plots horizontal lines for the entry, stop, and targets. To make it easier to read, there is also a dashboard box that shows the current score, quality, dip percentage, and suggested stop-loss. This means you don’t have to calculate or check different things yourself – everything is visible in one place. Finally, it comes with alerts. You can set alerts for when a dip signal happens, or when it’s medium or high confidence. This way, you don’t need to stare at charts all day; TradingView can notify you. So in short, this tool: • Finds dips based on your rules. • Filters them using structure, volatility, and higher timeframe trend. • Suggests stop-loss and profit targets. • Rates each dip with a confidence score. • Shows all this info in a clean dashboard and alerts you when it happens. 👉 Do you want me to now explain how a trader would actually use it in practice (step by step, from signal to trade)?
Penunjuk Pine Script®
oleh SupertradeOfficial
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).
Penunjuk Pine Script®
oleh wintonbanks
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.
Penunjuk Pine Script®
oleh traderharo
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↑")
Penunjuk Pine Script®
oleh ninodoteth
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.
Penunjuk Pine Script®
oleh Hunk77
7