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Pine实用程序

Retail Sentiment Indicator - Multi-Asset CFD & Fear/Greed IndexRetail Sentiment Indicator - Multi-Asset CFD & Fear/Greed Index Overview The Retail Sentiment Indicator provides real-time sentiment data for major financial instruments including stocks, forex, commodities, and cryptocurrencies. This indicator displays retail trader positioning and market sentiment using CFD data and fear/greed indices. Methodology and Scale Calculation This indicator operates on a **-50 to +50 scale** with zero representing perfect market equilibrium. Scale Interpretation: - **Zero (0)**: Market balance - exactly 50% of investors buying, 50% selling - **Positive values**: Majority buying pressure - Example: If 63% of investors are buying, the indicator shows +13 (63 - 50 = +13) - **Negative values**: Majority selling pressure - Example: If 92% of investors are selling, the indicator shows -42 (50 - 92 = -42) BTC Fear & Greed Index Scaling: The original `BTC FEAR&GREED` index is natively scaled from 0-100 by its creator. In our indicator, this data has been rescaled to also fit the -50 to +50 range for consistency with other sentiment data sources. This unified scaling approach allows for direct comparison across all instruments and data sources within the indicator. -Important Data Source Selection- Bitcoin (BTC) Data Sources When viewing Bitcoin charts, the indicator offers **two different data sources**: 1. **Default Auto-Mode**: `BTCUSD Retail CFD` - Retail CFD traders sentiment data (automatically loaded). 2. **Manual Selection**: `BTC FEAR&GREED` - Fear & Greed Index from website: alternative dot me **To access BTC Fear & Greed Index**: Input settings -> disable checkbox "Auto-load Sentiment Data" -> manually select "BTC FEAR&GREED" from the dropdown menu. US Stock Market Data Sources For US stocks and indices (S&P 500, NASDAQ, Dow Jones), there are **two data source options**: 1. **Default Auto-Mode**: Individual retail CFD sentiment data for each instrument 2. **Manual Selection**: `SNN FEAR&GREED` - SNN's Fear & Greed Index covering the overall US market sentiment. SNN was used as the name to avoid any potential trademark infringement. **To access SNN Fear & Greed Index**: When viewing US market charts, disable in input settings checkbox "Auto-load Sentiment Data" and manually select "SNN FEAR&GREED" from the dropdown menu. This distinction allows traders to choose between **instrument-specific retail sentiment** (auto-mode) or **broader market sentiment indices** (manual selection). Features - **Auto-Detection**: Automatically loads sentiment data based on the current chart symbol - **Manual Selection**: Choose from 40+ supported instruments when auto-detection is unavailable - **Multiple Data Sources**: Combines retail CFD sentiment with Fear & Greed indices - **Visual Zones**: Clear greed/fear zones with color-coded backgrounds - **Real-time Updates**: Live sentiment data from merged data sources Supported Instruments Major Indices - S&P 500, NASDAQ, Dow Jones 30, DAX Forex Pairs - Major pairs: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD - Cross pairs: EURJPY, GBPJPY, AUDUSD, NZDUSD, and 20+ others Commodities - Precious metals: Gold (XAUUSD), Silver (XAGUSD) - Energy: WTI Oil - Agricultural: Wheat, Coffee - Industrial: Copper Cryptocurrencies - Bitcoin (BTC) sentiment data - BTC & SNN Fear & Greed indices How to Use 1. **Auto Mode** (Default): Enable "Auto-load Sentiment Data" to automatically display sentiment for the current chart symbol 2. **Manual Mode**: Disable auto-load and select from the dropdown menu for specific instruments 3. **Interpretation**: - Values above 0 (green) indicate retail greed/bullish sentiment - Values below 0 (red) indicate retail fear/bearish sentiment - Fear & Greed indices use 0-100 scale (50 is neutral) Data Sources This indicator uses curated sentiment data from retail CFD providers and established fear/greed indices. Data is updated regularly and sourced from reputable financial data providers. Trading Strategy & Market Philosophy Contrarian Trading Approach The primary purpose of this indicator is based on the fundamental market principle that **the majority of retail investors are often wrong**, and markets typically move opposite to the positions held by the majority of market participants. Key Strategy Guidelines: - **Contrarian Signal**: When the majority of users are positioned on one side of the market, there is statistically greater market advantage in taking positions in the opposite direction - **Trend Exhaustion Signal**: An interesting observed phenomenon occurs when, during a long-lasting trend where the majority of investors have consistently been on the wrong side, the Sentiment indicator suddenly shows that the majority has flipped and opened positions in the direction of that long-running trend. This is often a signal of fuel exhaustion for further movement in that direction Interpretation Examples - High greed readings (majority bullish) → Consider bearish opportunities - High fear readings (majority bearish) → Consider bullish opportunities - Sudden sentiment flip during established trends → Potential trend reversal signal Technical Notes - Built with PineScript v6 - Dynamic symbol detection with fallback options - Optimized for performance with minimal resource usage - Color-coded visualization with customizable zones Data Sources & Expansion Acknowledgments We extend our gratitude to **TradingView** for enabling the use of custom data feeds based on GitHub repositories, making this comprehensive sentiment analysis possible. Data Expansion Opportunities As the operator of this indicator, I am **open to suggestions for new data sources** that could be integrated and published. If you have ideas for additional instruments or sentiment data: How to Submit Suggestions: 1. Send a **private message** with your proposal 2. Include: **instrument/data type**, **source**, and **brief description** 3. If technically feasible, we will work to import and publish the data Data Infrastructure Status Current Data Upload Process: Please note that sentiment data uploads may occasionally experience minor interruptions. However, this should not pose significant issues as sentiment data typically changes gradually rather than rapidly. Infrastructure Development: We are actively working on establishing permanent cloud-based infrastructure to ensure continuous, automated data collection and upload processes. This will provide more reliable and consistent data availability in the future. Disclaimer This indicator is for educational and informational purposes only. Sentiment data should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions. Past performance does not guarantee future results. The contrarian approach described is a market theory and may not always produce profitable results.
Pine Script®指标
由OpenTrading_ai提供
Calculator - AOC📊 Calculator - AOC Indicator 🚀 The Calculator - AOC indicator is a powerful and user-friendly tool designed for TradingView to help traders plan and visualize trades with precision. It calculates key trade metrics, displays entry, take-profit (TP), stop-loss (SL), and liquidation levels, and provides a clear overview of risk management and potential profits. Perfect for both novice and experienced traders! 💡 ✨ Features 📈 Trade Planning: Input your Entry Price, Take Profit (TP), Stop Loss (SL), and Trade Direction (Long/Short) to visualize your trade setup on the chart. 💰 Risk Management: Set your Initial Capital and Risk per Trade (%) to calculate the optimal Position Size and Risk Amount for each trade. ⚖️ Leverage Support: Define your Leverage to compute the Required Margin and Liquidation Price, ensuring you stay aware of potential risks. 📊 Risk/Reward Ratio: Automatically calculates the Risk-to-Reward Ratio to evaluate trade profitability. 🎨 Visuals: Displays Entry, TP, SL, and Liquidation levels as lines and boxes on the chart, with customizable Line Width, Line Style, and Label Size. ✅ Trade Validation: Checks if your trade setup is valid (e.g., correct TP/SL placement) and highlights issues like potential liquidation risks with color-coded statuses (Correct ✅, Incorrect ❌, or Liquidation ⚠️). 📋 Summary Table: A clean, top-right table summarizes key metrics: Capital, Risk %, Risk Amount, Position Size, Potential Profit, Risk/Reward, Margin, Liquidation Price, Trade Status, and % to TP/SL. 🖌️ Customization: Adjust Line Extension (Bars) for how far lines extend, and choose from Solid, Dashed, or Dotted line styles for a personalized chart experience. 🛠️ How to Use Add to Chart: Apply the indicator to your TradingView chart. Configure Inputs: Accountability: Set your Initial Capital and Risk per Trade (%). Target: Enter Entry Price, TP, and SL prices. Leverage: Specify your leverage (e.g., 10x). Direction: Choose Long or Short. Display Settings: Customize Line Width, Line Style, Label Size, and Line Extension. Analyze: The indicator plots Entry, TP, SL, and Liquidation levels on the chart and displays a table with all trade metrics. Validate: Check the Trade Status in the table to ensure your setup is valid or if adjustments are needed. 🎯 Why Use It? Plan Smarter: Visualize your trade setup and understand your risk/reward profile instantly. Stay Disciplined: Precise position sizing and risk calculations help you stick to your trading plan. Avoid Mistakes: Clear validation warnings prevent costly errors like incorrect TP/SL placement or liquidation risks. User-Friendly: Intuitive visuals and a summary table make trade analysis quick and easy. 📝 Notes Ensure Entry, TP, and SL prices align with your trade direction to avoid "Incorrect" or "Liquidation" statuses. The indicator updates dynamically on the latest bar, ensuring real-time visuals. Best used with proper risk management to maximize trading success! 💪 Happy trading! 🚀📈
Pine Script®指标
由AlchimistOfCrypto提供
PDD — Pullback & Breakout Alerts (PopsStocks) • INDICATOR🟢 Trader-Friendly (simple & clear) Description: This indicator highlights pullback and breakout trade opportunities on PDD (Pinduoduo). It automatically marks pullback buy zones, breakout levels, stops, and profit targets. Signals are based on bullish reversal candles (inside pullback zones) and confirmed breakouts above resistance. Includes optional EMAs for trend context and built-in alerts, making it easy to catch setups in real time. 🔵 Technical/Backtest-Friendly (for advanced users) Description: A price-action based tool for identifying structured entries on PDD (Pinduoduo). The script plots dynamic pullback zones, breakout resistance levels, stops, and risk/reward targets. Signal logic combines candlestick reversals (bullish engulfing, hammer), volume filters, and optional higher-low buildup checks. 20/50 EMA overlays provide trend confirmation. Designed for traders who want defined rules, alert automation, and clear risk-to-reward planning.
Pine Script®指标
由PopsStock提供
PDD — Pullback & Breakout Alerts (PopsStocks) • INDICATOR🟢 Trader-Friendly (simple & clear) Description: This indicator highlights pullback and breakout trade opportunities on PDD (Pinduoduo). It automatically marks pullback buy zones, breakout levels, stops, and profit targets. Signals are based on bullish reversal candles (inside pullback zones) and confirmed breakouts above resistance. Includes optional EMAs for trend context and built-in alerts, making it easy to catch setups in real time. 🔵 Technical/Backtest-Friendly (for advanced users) Description: A price-action-based tool for identifying structured entries on PDD (Pinduoduo). The script plots dynamic pullback zones, breakout resistance levels, stops, and risk/reward targets. Signal logic combines candlestick reversals (bullish engulfing, hammer), volume filters, and optional higher-low buildup checks. 20/50 EMA overlays provide trend confirmation. Designed for traders who want defined rules, alert automation, and clear risk-to-reward planning.
Pine Script®指标
由PopsStock提供
均线趋势过滤器 (MA_trend Signal/Noise Filter)双语简介 中文： 这款指标是一个基于“信噪比”思想的终极趋势过滤器。它通过比较快速和慢速EMA均线之间的差值（即信号）与ATR（平均真实波幅，代表噪音）来判断市场趋势。只有当信号的强度超过噪音的指定倍数时，才会确认趋势的有效性。该指标可帮助交易者过滤掉噪音，精确捕捉强势趋势，避免误操作。 English: This indicator is the Ultimate Trend Filter based on the Signal-to-Noise ratio concept. It compares the difference between the fast and slow EMA (Signal) to the ATR (Noise) to determine market trends. A trend is confirmed only when the signal strength exceeds the noise by a specified multiplier. This indicator helps traders filter out noise and accurately capture strong trends, avoiding false signals.
Pine Script®指标
由FROST_Quant提供
FX Sessions (DTS)FX Sessions (DST-Safe) This indicator highlights the four main Forex trading sessions — Sydney, Tokyo, London, and New York — using the local timezone of each market. • DST handled automatically: Sessions shift correctly when London or New York move clocks forward/back. • Clear visualization: Light background shading for each session, with the London–New York overlap emphasized for peak liquidity. • Customizable: Toggle individual sessions, labels, and the on-chart legend table. • Intraday focus: Works best on lower timeframes (1m–1h) for identifying active trading hours and volatility windows. Use this tool to instantly spot when liquidity and volatility are likely to increase, so you know where to focus your trading.
Pine Script®指标
由PokaSasha提供
How to Reposition A Table CellOVERVIEW Using table functions in Pine Script is one of the most effective methods for reporting and interpreting data in a readable manner. However, the built-in capabilities for dynamically repositioning table location are limited. To extend these limitations, a small intervention to the script may be required. This indicator exemplifies how such intervention can be modeled. CONCEPTS This indicator provides comprehensive control over table positioning through several user-defined parameters that work together to create flexible display options. Text Parameters : These five string inputs allow users to define the content displayed in the table. Each parameter accepts custom text that will be displayed as separate rows within the table cell. (The relevant parameters are designed as examples. When implementing the code into your own scripts, you can use series string variables instead of the those inputs.) Horizontal Offset : This integer parameter controls the horizontal positioning of the table content. Negative values shift the table content to the left, while positive values move it to the right. The offset is multiplied by a spacing factor (currently set to 4) to provide more noticeable movement. This parameter is particularly useful when you need to avoid overlapping with other chart elements or align multiple indicators. Vertical Offset : This integer parameter manages the vertical positioning by adding line breaks above or below the content. Negative values push the content downward by adding line breaks at the beginning, while positive values elevate the content by adding line breaks at the end. This creates effective vertical spacing without affecting the table's base position. Table Position : This parameter accepts values from 1 to 9, corresponding to the standard TradingView table positions arranged in a 3x3 grid format (1-3: top row, 4-6: middle row, 7-9: bottom row). This serves as the base positioning before any offset adjustments are applied, providing users with familiar reference points for initial placement. FUNCTION The core functionality centers on the custom f_position() function, which processes text positioning based on horizontal and vertical offset values. For vertical positioning, it adds line breaks before or after content depending on the offset direction. For horizontal positioning, it splits the text by rows and adds calculated spaces to each row, maintaining proper alignment across multi-line content. The spacing uses a fixed multiplier of 4, providing good balance between precision and visible movement. ORIGINALITY & NOTES Tihs indicator, introduces a novel approach to table positioning that goes beyond TradingView's standard 9-position limitation by implementing custom offset calculations that allow pixel-level control over table placement. serves as an educational resource, demonstrating advanced Pine Script techniques for UI manipulation that can be adapted for various custom indicator developments. is particularly valuable for developers creating complex dashboard layouts or educational materials where precise positioning is crucial. The modular design of the positioning function makes it easily adaptable for other projects requiring similar functionality. I hope it helps everyone, Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Pine Script®指标
由dg_factor提供
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®指标
由hapharmonic提供
3
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Pine Script®指标
由ericc2c45提供
How to avoid repainting when using security() - viewing optionsHow to avoid repainting when using the security() - Edited PineCoders FAQ with more viewing options This may be of value to a limited few, but I've introduced a set of Boolean inputs to PineCoders' original script because viewing all the various security lines at once was giving me a brain cramp. I wanted to study each behavior one-by-one. This version (also updated to PineScript v6) will allow users to selectively display each, or any combination, of the security plots. Each plot was updated to include a condition tied to its corresponding input, ensuring it only appears when explicitly enabled. The label-rendering logic only displays when its related plot is active; however, I've also added an input that allows you to remove all labels, enabling you to see the price action more clearly (the labels can sometimes obscure what you want to see). Run this script in replay mode to view the nuanced differences between the 12 methods while selecting/deselecting the desired plots (selecting all at once can be overcrowded and confusing). All thanks and credit to PineCoders--these changes I made only provide more control over what’s shown on the chart without altering the core structure or intent of the original script. It helped me, so I thought I should share it. If I inadvertently messed something up, please let me know, and I will try to fix it. I set the defaults for viewing monthly security functions on the daily timeframe. Only the first 2 security functions plot with the default settings, so change the settings as needed. Be sure to read the original notes and detailed explanations in the PineCoders posting "How to avoid repainting when using security() - PineCoders FAQ." Bottom line, you should use one of the two functions: f_secureSecurity or f_security, depending on what you are trying to do. Hopefully, this script will make it a little easier for the visual learner to understand why (use replay mode or watch live price action on a lower timeframe).
Pine Script®指标
由kindChile34275提供
Previous Day OHLC Dashboard (Last N Days)Indicator: Previous Day OHLC Dashboard (Multi-Day) This indicator displays a dashboard-style table on your chart that shows the Open, High, Low, and Close (OHLC) of the previous trading days. It’s designed to help traders quickly reference key daily levels that often act as important support and resistance zones. 🔑 Features: Dashboard Table: Shows OHLC data for the last N trading days (default = 3, up to 10). Customizable Appearance: Change the position of the dashboard (Top-Right, Top-Left, Bottom-Right, Bottom-Left). Adjust text size (Tiny → Huge). Customize colors for header, labels, and each OHLC column. Yesterday’s OHLC Lines (optional): Plots horizontal lines on the chart for the previous day’s Open, High, Low, and Close. Intraday & Multi-Timeframe Compatible: Works on all timeframes below Daily — values update automatically from the daily chart. 📊 Use Cases: Quickly identify yesterday’s key levels for intraday trading. Track how current price reacts to previous day’s support/resistance. Keep a multi-day reference for trend bias and range context. ⚙️ How it Works: The indicator pulls daily OHLC values using request.security() with lookahead_on to ensure prior day’s values are extended across the next session. These values are displayed in a compact table for quick reference. Optionally, the most recent daily levels (D-1) are plotted as chart lines. ✅ Perfect for day traders, scalpers, and swing traders who rely on yesterday’s price action to plan today’s trades.
Pine Script®指标
由JourneyToWealth提供
Goldbach Time Indicator🔧 Key Fixes Applied: 1. Time Validation & Bounds Checking: Hour/Minute Bounds: Ensures hours stay 0-23, minutes stay 0-59 Edge Case Handling: Prevents invalid time calculations from causing missing data UTC Conversion Safety: Better handling of timezone edge cases 2. Enhanced Value Validation: NA Checking: Validates all calculated values before using them Goldbach Detection: Only flags valid, non-NA values as Goldbach hits Plot Safety: Prevents plotting invalid or NA values that could cause gaps 3. Improved Plot Logic: Core Level Colors: Blue for core levels (29,35,71,77), yellow/lime/orange for regular hits Debug Mode Enhanced: Shows all calculations with gray dots when enabled Better Filtering: Only plots positive, valid values for minus calculations 4. Background vs Dots Issue: The large green/blue background you see suggests the indicator is detecting Goldbach times correctly, but the dots weren't plotting due to validation issues. This should now be fixed.
Pine Script®指标
由RizwanFXCoder提供
Index Position Size Calculator for [US30 / US100 / SP500]What it does This tool helps you size positions consistently for index trades on US30 (Dow Jones), NAS100 (Nasdaq-100), and SP500 (S&P 500). Enter your account balance, risk %, and your planned Entry / Stop-Loss / Target and the script calculates: • Position Size (rounded to your lot/contract step) • Risk-to-Reward (R/R) • Potential P/L in USD based on your inputs • Visual Entry / SL / TP lines with green/red zones and concise labels Supported contract styles Choose a preset for common products (e.g., CFD $1/pt, YM/NQ/ES futures, MYM/MNQ/MES micros) or override the economics yourself. You remain in control of the two key levers: • $/point — how many dollars you gain/lose per 1 index point per contract/lot • Point size — how many price units equal 1 index point on your chart (often 1.0, but some brokers use 0.1 or 0.5) Inputs • Account Balance ($) and Risk % per trade • Index: US30 / NAS100 / SP500 • Contract: CFD / Futures (YM, NQ, ES) / Micros (MYM, MNQ, MES) • $/point: auto from Contract or manual override • Point size: auto from Index or manual override • Position size step: rounding (e.g., 1 for futures, 0.01 for CFDs) • Entry / SL / TP: typed values (snapped to tick), with on-chart zones and labels • Display toggles for lines and labels How the math works • StopPoints = |Entry − SL| ÷ PointSize • ProfitPoints = |TP − Entry| ÷ PointSize • Position Size = (AccountBalance × Risk%) ÷ (StopPoints × $/point) • R/R = ProfitPoints ÷ StopPoints • Potential P/L = PositionSize × Points × $/point How to use (quick start) 1. Select Index and Contract. 2. Confirm $/point and Point size match your broker’s specs. 3. Enter Entry / SL / TP for the trade idea. 4. Read the Position Size, R/R, and Potential P/L in the info box. 5. Adjust for fees, spreads, and slippage as needed. Notes & limitations • Broker symbols can vary. Always verify $/point and Point size for your instrument before risking capital. • The script does not place orders and does not generate trade signals; it’s a sizing/visualization tool. • Results can differ across brokers due to pricing, spreads, minimum lot sizes, and execution rules. • Use on the intended indices; you’ll see a reminder if you load it elsewhere. Changelog highlights • Pine v6, constant-safe inputs, tick-snapping, global fills (no local-scope errors). • Robust label handling and optional minimal chart markers. Disclaimer This script is provided for educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security or derivative. Trading involves risk, including the possible loss of principal. Always do your own research, verify contract specifications with your broker, and consider testing in a demo environment before trading live.
Pine Script®指标
由smithyommite提供
Apex Edge - London Open Session# Apex Edge - London Open Session Trading System ## Overview The London Open Session indicator captures institutional price action during the first hour of the London forex session (8:00-9:00 AM GMT) and identifies high-probability breakout and retest opportunities. This system tracks the session's high/low range and generates precise entry signals when price breaks or retests these key institutional levels. ## Core Strategy **Session Tracking**: Automatically identifies and marks the London Open session boundaries, creating a trading zone from the first hour's price range. **Dual Entry Logic**: - **Breakout Entries**: Triggers when price closes beyond the session high/low and continues in that direction - **Retest Entries**: Activates when price returns to test the broken level as new support/resistance **Performance Analytics**: Built-in win rate tracking displays real-time performance statistics over user-defined lookback periods, enabling data-driven optimization for each currency pair. ## Key Features ### Automated Zone Detection - Precise London session timing with timezone offset controls - Visual session boundaries with customizable colours - Automatic high/low range calculation and display ### Smart Entry System - Breakout confirmation requiring candle close beyond zone - Retest detection with configurable pip distance tolerance - Separate risk/reward ratios for breakout vs retest entries - Visual entry arrows with clear trade direction labels ### Performance HUD - Real-time win rate calculation over customizable periods (7-365 days) - Total trades tracking with win/loss breakdown - Average risk-reward ratio display - Color-coded performance metrics (green >70%, yellow >50%, red <50%) ### PineConnector Integration - Direct MT4/MT5 execution via PineConnector alerts - Proper forex pip calculations for all currency pairs - Customizable risk percentage per trade - Symbol override capability for broker compatibility - Automatic SL/TP level calculation in pips ## Critical Usage Requirements ### Pair-Specific Optimization Each currency pair requires individual optimization due to varying volatility characteristics, institutional participation levels, and typical price ranges during London hours. The performance HUD is essential for identifying optimal settings before live trading. **Recommended Testing Process**: 1. Apply indicator to desired currency pair and timeframe 2. Experiment with session timing - while 8:00-9:00 AM GMT is standard, some pairs may show improved performance with alternative hourly windows (e.g., 7:00-8:00 AM or 9:00-10:00 AM) 3. Adjust Stop Loss distances, Risk/Reward ratios, and Retest distances 4. Monitor win rate over 30+ day periods using the performance HUD 5. Only proceed with live alerts once consistent 60%+ win rates are achieved 6. Create separate optimized chart setups for each profitable pair/timeframe combination ### Timeframe Specifications This indicator is specifically designed and tested for: - **1-minute charts**: Optimal for capturing immediate institutional reactions - **5-minute charts**: Balanced approach between noise reduction and opportunity frequency Higher timeframes generally produce inferior results due to increased noise and reduced institutional edge during the London session window. ## Settings Configuration ### Session Timing - **London Open/Close Hours**: Adjust for your chart's timezone - **Rectangle End Time**: Set to 4:30 PM to stop signals before NY session close - **Timezone Offset**: Ensure accurate London session capture ### Entry Parameters - **Retest Distance**: 3-8 pips depending on pair volatility - **Stop Loss Pips**: Separate settings for breakouts (10-15 pips) and retests (8-12 pips) - **Risk/Reward Ratios**: Independent ratios for different entry types ### PineConnector Setup - **License ID**: Your PineConnector license key - **Symbol Override**: MT4/MT5 symbol names if different from TradingView - **Risk Percentage**: Position size as percentage of account balance - **Prefix/Comment**: Organize trades in terminal ## Manual Trading Limitations Without PineConnector automation, traders face significant practical challenges: **Settings Management**: Each currency pair requires different optimized parameters. Switching between charts means manually adjusting multiple settings each time, creating potential for errors and missed opportunities. **Timing Sensitivity**: London Open signals can occur rapidly during high-volatility periods. Manual execution may result in slippage or missed entries. **Multi-Pair Monitoring**: Tracking 4-11 currency pairs simultaneously while manually adjusting settings for each switch becomes impractical for most traders. **Parameter Consistency**: Risk of using suboptimal settings when quickly switching between pairs, potentially compromising the careful optimization work. ## Recommended Workflow 1. **Historical Testing**: Use win rate HUD to identify profitable pairs and optimal parameters 2. **Demo Automation**: Test PineConnector alerts on demo accounts with optimized settings 3. **Live Implementation**: Deploy alerts only on proven profitable pair/timeframe combinations 4. **Ongoing Monitoring**: Regular review of performance metrics to maintain edge ## Risk Disclaimer This indicator provides analysis tools and automation capabilities but does not guarantee profitable trading outcomes. Past performance does not predict future results. Users should thoroughly backtest and demo trade before risking live capital. The London session strategy works best during specific market conditions and may underperform during low volatility or unusual market environments. ## Support Requirements Successful implementation requires: - Basic understanding of London session market dynamics - PineConnector subscription for automation features - Patience for proper optimization process - Realistic expectations about win rates and drawdown periods This system is designed for serious traders willing to invest time in proper optimization and risk management rather than plug-and-play solutions.
Pine Script®指标
由ApexEdge提供
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