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Fearless R:RFearless R:R – Precision Risk/Reward Visualization Fearless R:R is a clean and powerful risk management tool designed to help traders plan and execute trades with discipline. It lets you set your Entry, Take Profit, and Stop Loss levels directly on the chart, then automatically calculates and displays: Risk/Reward ratio in real-time Percentage distance to TP and SL Position sizing based on account equity and risk % Fees and slippage impact Current P/L tracking as price moves The indicator also anchors your setup visually on the chart with shaded RR zones, price-scale labels, and a compact info table. Dedicated alert conditions are included for Entry Hit, Take Profit Hit, and Stop Loss Hit, allowing you to automate trade management notifications. Whether you’re scalping or swing trading, Fearless R:R keeps your focus on structured decision-making and consistent execution.
Pine Script® göstergesi
Kairosfund tarafından
1
Trapper Magnifying Glass - Bar Decomposer — Last Visible BarHeadline Decompose any higher-timeframe bar into lower-timeframe candles directly on the chart. Zoom/pan reactive, session-accurate, auto-fit inset, and compliant with TradingView placement limits. Quick Start Add the indicator and choose a Child TF (minutes) (e.g., 1, 5, 10, 15). The inset follows the last visible bar on your screen. Adjust Right separation / Mini width / Gap / Vertical exaggeration as needed. Leave Show HUD label OFF by default. Turn it on only if you want a compact readout. Overview This tool draws a miniature, on-chart inset of lower-timeframe candles that make up the currently viewed higher-timeframe bar. It stays on the main price chart (not in a separate pane), respects zoom/pan, compresses itself to fit available space, and adheres to TradingView’s 500-bar object placement limit. The design goal is micro-structure inspection without changing the chart timeframe. What Makes It Different On-chart inset (not a separate indicator panel) for true visual context. Zoom/Pan reactive to the last visible bar — works naturally as you navigate. Auto-fit logic keeps the inset readable while staying inside TradingView’s future-bars limit. Session-accurate decomposition: uses TradingView’s own lower-timeframe OHLC, exactly within the parent bar’s time window. Strictly compliant: no synthetic bars, no repaint tricks, no lookahead. How It Works Child data is fetched with request.security_lower_tf(syminfo.tickerid, , open/high/low/close). Only closed lower-TF bars inside the parent bar’s time window are returned by TradingView. The script maps each child bar to an inset candle (body + wick) scaled to the parent bar’s price range and placed to the right of the parent’s position. The inset tracks the last visible bar so it always stays relevant to what you’re inspecting. Inputs (Defaults) Timeframes Child TF (minutes): 1 (min 1, max 1440) Layout Right separation (bars): 10 Mini candle width (bars): 2 Gap between mini candles (bars): 0 Vertical exaggeration ×: 1.6 Auto-Fit Auto-fit inset width: ON Max bars ahead to use: 120 Minimum mini width: 1 Minimum gap: 0 Style Bull/Bear colors: ON Body Bull / Body Bear / Wick Bull / Wick Bear: configurable Body Fill Opacity (0–100): 12 Outline color: dark grey Outline width: 1 Wick width: 2 HUD Show HUD label: OFF (recommended default; enable only when you need a summary) Session Behavior (Important) TradingView constructs bars strictly by exchange sessions. For US equities (regular session 09:30–16:00, 390 minutes): On a 1h chart you will see 7 bars per day: 09:30–10:00 (30 minutes) 10:00–11:00, 11:00–12:00, 12:00–13:00, 13:00–14:00, 14:00–15:00 (five full hours) 15:00–16:00 (full hour) Decomposing the 09:30–10:00 bar into 1m returns 30 minis (not 60). Decomposing 10:00–11:00 returns 60 minis, as expected. The last hour (15:00–16:00) decomposes to 60 minis once they exist (i.e., immediately after each child bar closes). If you are mid-session, you will see only the minis that have closed so far. This is by design and ensures the inset reflects the true lower-timeframe structure TradingView has for that exact bar window. Nothing is synthesized. Live vs Confirmed Bars Confirmed bars (historical) always decompose to a full, correct count of child minis for that parent window. Live bars (currently forming) only return child minis that have already closed. Mid-hour on a 1h chart with 10m children, you might see 3, 4, or 5 minis depending on elapsed time. This script’s default experience focuses on the last visible bar and displays whatever the platform provides at that moment. The HUD (when enabled) includes the parent bar duration in minutes to make short session bars explicit. Auto-Fit and Placement Limits TradingView prevents drawing objects beyond 500 bars into the future. The inset’s right edge is automatically clamped to stay within that boundary. If the requested number of minis would overflow the allowed space, the script proportionally compresses mini width/gap (down to your configured minimums). If necessary, it draws only as many minis as safely fit — favoring stability over clutter. Styling Tips For dense decompositions (e.g., 1m inside 1h), set: Mini width = 1, Gap = 0, Auto-fit = ON, Right separation = 7–12. Increase Vertical exaggeration to highlight wick-to-body differences when the parent bar is narrow. Keep HUD OFF for publishing and screenshots unless you’re highlighting counts or session duration. Notes & Limitations Child arrays show closed bars only. No forming mini is displayed to avoid misleading totals. If you reload a chart or switch symbols/timeframes, the most recent confirmed bar’s arrays may be empty on the very first calculation frame; the script guards against this and will draw on the next update. The tool is an overlay visualization, not a signal generator; there are no alerts or trading advice. Performance: heavy decompositions on very fast symbols/timeframes can add many objects. Auto-fit and minimal widths help. Compliance Uses only native TradingView data (request.security_lower_tf). No repainting and no lookahead. No external feeds, synthetic candles, or hidden calculations that would misrepresent the underlying data. Fully respects TradingView’s object placement constraints. Recommended Defaults (for broad usability) Child TF: 5 or 15 (depending on your HTF). Right separation: 7–12 Mini width / Gap: 2 / 0 for clarity, 1 / 0 for dense fits. Auto-fit: ON HUD: OFF Troubleshooting “Why aren’t there 60 one-minute minis in this 1h bar?” Either the parent bar is a session-short bar (09:30–10:00 = 30 minutes) or you are viewing a live bar mid-hour; only closed minis appear. Inset clipped or not visible to the right: Increase Max bars ahead to use (Auto-Fit group), reduce Mini width/Gap, or reduce Right separation. Nothing draws on first load: Wait for the next bar update, or navigate the chart so the last visible bar changes; arrays refresh as data becomes available. Change Log v1.0 – Initial public release. On-chart inset, zoom/pan reactive, auto-fit width. Session-accurate lower-TF decomposition. HUD label toggle (off by default) with child TF, bar count, and parent duration. Hardened array handling for confirmed snapshots. Disclaimer This script is provided strictly for educational and informational purposes only. It does not constitute financial advice, investment advice, trading signals, or a recommendation to buy or sell any security, asset, or instrument. Trading and investing involve risk; always do your own research and consult with a licensed financial professional before making decisions.
Pine Script® göstergesi
RAMS-offthecharts tarafından
3
Financial Risk AlphaHere’s the description in English, formatted with ` ` for TradingView: --- \ Financial Risk Alpha\ is a macroeconomic indicator that tracks weekly changes in the \ NFCI Risk Index\ (Federal Reserve). It translates shifts in financial conditions into an easy-to-read histogram: * \ Green bars\ → Loosening of financial conditions (risk-on environment). * \ Red bars\ → Tightening of financial conditions (increased systemic risk). * \ Background shading\ in translucent green/red (CS Alpha style), highlighting the prevailing liquidity regime. * \ Visual signals\ : \ green arrows below\ the price when conditions flip to risk-on, and \ red arrows above\ the price when conditions flip to risk-off. \ Usage\ : Financial Risk Alpha is designed for traders and analysts seeking to align their strategies with global financial risk dynamics. It serves as an \ early warning tool\ for shifts in risk appetite, helping anticipate potential turning points in the market.
Pine Script® göstergesi
hernandesnogueira tarafından
Crypto Position CalculatorAlpha2Million - Crypto Position Calculator (Margin, Leverage, % Fees, Exchange Presets) This script is a crypto trading risk & position calculator built directly into TradingView. It helps futures/perpetual traders size positions, calculate margin requirements, and visualize risk-to-reward levels on the chart — with exchange fee presets for real-world accuracy. • Position Sizing by Risk % • Enter account size and % risk per trade. • Script calculates exact position size (coins) based on SL distance. • Leverage & Margin • Shows required notional and margin (USDT) for the trade. • Exchange Fee Presets • Supports Binance, Bybit, Pionex, MEXC, Gate.io, KuCoin, HTX. • Maker vs Taker fee selection. • Custom option to enter your own per-side fee %. • Fee Breakeven Line (Orange) • Plots the exact price level you need to reach to cover entry + exit fees. • Lets you see how far price must move before you are at true breakeven. • Risk vs Reward Calculation • Risk is calculated on price movement only (SL distance). • Profit targets include fees, so “1R / 2R / 3R (net)” lines show realistic levels. • Smart Table Display • Account size, leverage, entry, stop, target. • Position size (coins), notional (USDT), required margin. • Risk at SL, fees (round trip), fee breakeven move/price. • Profit @ TP (after fees) and net RR.
Pine Script® göstergesi
marktan93 tarafından
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® göstergesi
OpenTrading_ai tarafından
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® göstergesi
AlchimistOfCrypto tarafından
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® göstergesi
FROST_Quant tarafından
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® göstergesi
PokaSasha tarafından
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® göstergesi
dg_factor tarafından
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! 💛
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hapharmonic tarafından
3
Trade Size Calculator By Skapez Trade Size Calculator By Skapez — ARM it, Drag & Trade! A simple, position-sizing calculator for easy trader sizing. It plots Entry / Stop / TP lines, sizes your trade to a fixed % risk (e.g., 2%), calculates leverage, and shows clean labels (Risk $, TP $, Position $, Leverage ×). You can ARM a setup, drag the lines to fine-tune, and (optionally) trigger alerts for webhooks. What it does: Fixed-fractional risk : sizes position so SL equals your chosen % of account (e.g., 2%). Leverage cap & lot rounding : respects your max leverage and exchange lot step. Drag-to-edit : move Entry/Stop; TP and sizing update automatically. Swing-stop helper (optional): snap SL to recent swing low/high or nearest pivot. (Auto stop loss finder) Valid-until window: auto-expires stale setups (e.g., after 120 minutes). Alerts-ready: add your own JSON in the alert to send to a bot/webhook. Quick start (60 seconds) Add to chart and open Settings. In Risk, set: Account Balance (USD) and Risk % (e.g., 2.0). Side (Long/Short). In Levels: Put an Entry price (or leave 0 to use current price when you ARM). Choose Stop: type it manually or toggle Swing stop helper. Pick your Target R multiple (e.g., 3.0 for 3:1). In Leverage, set: Leverage Cap (e.g., 10×) and Min/Step Size (e.g., 0.001 BTC). Toggle ARM on. Three lines appear. Drag the blue/red lines if needed; the green TP and all numbers update. Tip: Pin the indicator to the Right Price Scale (format icon → “Pin to scale”) so everything lines up perfectly. On-chart visuals Blue = Entry (label shows Position $ and Leverage × to the far right). Red = Stop (label shows Risk $). Green = TP (label shows TP P&L $). Works on any symbol/timeframe; prices are rounded to the symbol’s tick size. That’s it—arm, drag, and go.
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Skapez tarafından
SMC Suite – OB • Breaker • Liquidity Sweep • FVGSMC Suite — Order Blocks • Breaker • Liquidity Sweep • FVG What it does: Maps institutional SMC structure (OB → Breaker flips, Liquidity Sweeps, and 3-bar FVGs) and alerts when price retests those zones with optional r ejection-wick confirmation . Why this isn’t “just a mashup”? This tool implements a specific interaction between four classic SMC concepts instead of only plotting them side-by-side: 1. OB → Breaker Flip (automated): When price invalidates an Order Block (OB), the script converts that zone into a Breaker of opposite bias (bullish ⇄ bearish), extends it, and uses it for retest signals. 2. Liquidity-Gated FVGs : Fair Value Gaps (3-bar imbalances) are optionally gated—they’re only drawn/used if a recent liquidity sweep occurred within a user-defined lookback. 3. Retest Engine with Rejection Filter : Entries are not whenever a zone prints. Signals fire only if price retests the zone, and (optionally) the candle shows a rejection wick ≥ X% of its range. 4. Signal Cooldown : Prevents spam by enforcing a minimum bar gap between consecutive signals. These behaviors work together to catch the sequence many traders look for: sweep → impulse → OB/FVG → retest + rejection. Concepts & exact rules 1) Impulsive move and swing structure • A bar is “ impulsive ” when its range ≥ ATR × Impulsive Mult and it closes in the direction of the move. • Swings use Pivot Length (lenSwing) on both sides (HH/LL detection). These HH/LLs are also used for sweep checks. 2) Order Blocks (OB) • Bullish OB : last bearish candle body before an i mpulsive up-move that breaks the prior swing high . Zone = min(open, close) to low of that candle. • Bearish OB : last bullish candle body before an impulsive down-move that breaks the prior swing low . Zone = high to max(open, close). • Zones extend right for OB Forward Extend bars. 3) Breaker Blocks (automatic flip) If price invalidates an OB (closes below a bullish OB’s low or above a bearish OB’s high), that OB flips into a Breaker of opposite bias: • Invalidated bullish OB → Bearish Breaker (resistance). • Invalidated bearish OB → Bullish Breaker (support). Breakers get their own style/opacity and are used for separate Breaker Retest signals. 4) Liquidity Sweeps (decluttered) • Bullish sweep : price takes prior high but closes back below it. • Bearish sweep : price takes prior low but closes back above it. Display can be tiny arrows (default), short non-extending lines, or hidden. Old marks auto-expire to keep the chart clean. 5) Fair Value Gaps (FVG, 3-bar) • Bearish FVG : high < low and current high < low . • Bullish FVG : low > high and current low > high . • Optional gating: only create/use FVGs if a sweep occurred within ‘Recent sweep’ lookback. 6) Retest signals (what actually alerts) A signal is true when price re-enters a zone and (optionally) the candle shows a rejection wick: • OB Retest LONG/SHORT — same-direction retest of OB. • Breaker LONG/SHORT — opposite-direction retest of flipped breaker. • FVG LONG/SHORT — touch/fill of FVG with rejection. You can require a wick ratio (e.g., bottom wick ≥ 60% of range for longs; top wick for shorts). A cooldown prevents back-to-back alerts. How to use 1. Pick timeframe/market : Works on any symbol/TF. Many use 15m–4h intraday and 1D swing. 2. *Tune Pivot Length & Impulsive Mult: • Smaller = more zones and quicker flips; larger = fewer but stronger. 3. Decide whether to gate FVGs with sweeps : Turn on “Require prior Liquidity Sweep” to focus on post-liquidity setups. 4. Set wick filter : Start with 0.6 (60%) for cleaner signals; lower it if too strict. 5. Style : Use the Style / Zones & Style / Breakers groups to set colors & opacity for OB, Breakers, FVGs. 6. Alerts : Add alerts on any of: • OB Retest LONG/SHORT • Breaker LONG/SHORT • FVG LONG/SHORT Choose “Once per bar close” to avoid intrabar noise. Inputs (key) • Swing Pivot Length — swing sensitivity for HH/LL and sweeps. • Impulsive Move (ATR ×) — defines the impulse that validates OBs. • OB/FVG Forward Extend — how long zones project. • Require prior Liquidity Sweep — gate FVG creation/usage. • Rejection Wick ≥ % — confirmation filter for retests. • Signal Cooldown (bars) — throttles repeated alerts. • Display options for sweep marks — arrows vs short lines vs hidden. • Full color/opacity controls — independent palettes for OB, Breakers, and FVGs (fills & borders). What’s original here • Automatic OB → Breaker conversion with separate retest logic. • Liquidity-conditioned FVGs (FVGs can be required to follow a recent sweep). • Unified retest engine with wick-ratio confirmation + cooldown. • Decluttered liquidity visualization (caps, expiry, and non-extending lines). • Complete styling controls for zone types (fills & borders), plus matching signal label colors. 🔹 Notes • This script is invite-only. • It is designed for educational and discretionary trading use, not as an autotrader. • No performance guarantees are implied — always test on multiple markets and timeframes.
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TradeTechanalysis tarafından
8
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.
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ericc2c45 tarafından