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ค้นหาในสคริปต์สำหรับ "ai"

Crypto Perp Calc v1Advanced Perpetual Position Calculator for TradingView Description A comprehensive position sizing and risk management tool designed specifically for perpetual futures trading. This indicator eliminates the confusion of calculating leveraged positions by providing real-time position metrics directly on your chart. Key Features: Interactive Price Selection: Click directly on chart to set entry, stop loss, and take profit levels Accurate Lot Size Calculation: Instantly calculates the exact position size needed for your margin and leverage Multiple Entry Support: DCA into positions with up to 3 entry points with customizable allocation Multiple Take Profit Levels: Scale out of positions with up to 3 TP targets Comprehensive Risk Metrics: Shows dollar P&L, account risk percentage, and liquidation price Visual Risk/Reward: Color-coded boxes and lines display your trade setup clearly Real-time Info Table: All critical position data in one organized panel Perfect for traders using perpetual futures who need precise position sizing with leverage. --------- How to Use Quick Start (3 Clicks) 1. Add the indicator to your chart 2. Click three times when prompted: First click: Set your entry price Second click: Set your stop loss Third click: Set your take profit 3. Read the TOTAL LOTS value from the info table (highlighted in yellow) 4. Use this lot size in your exchange when placing the trade Detailed Setup Step 1: Configure Your Account Enter your account balance (total USDT in account) Set your margin amount (how much USDT to risk on this trade) Choose your leverage (1x to 125x) Select Long or Short position Step 2: Set Price Levels Main levels use interactive clicking (Entry, SL, TP) For multiple entries or TPs, use the settings panel to manually input prices and percentages Step 3: Read the Results The info table shows: TOTAL LOTS - The position size to enter on your exchange Margin Used - Your actual capital at risk Notional - Total position value (margin × leverage) Max Risk - Dollar amount you'll lose at stop loss Total Profit - Dollar amount you'll gain at take profit R:R Ratio - Risk to reward ratio Account Risk - Percentage of account at risk Liquidation - Price where position gets liquidated Step 4: Advanced Features (Optional) Multiple Entries (DCA): Enable "Use Multiple Entries" Set up to 3 entry prices Allocate percentage for each (must total 100%) See individual lot sizes for each entry Multiple Take Profits: Enable "Use Multiple TPs" Set up to 3 TP levels Allocate percentage to close at each level (must total 100%) View profit at each target Visual Elements Blue lines/labels: Entry points Red lines/labels: Stop loss Green lines/labels: Take profit targets Colored boxes: Visual risk (red) and reward (green) zones Info table: Can be positioned anywhere on screen Alerts Set price alerts for: Entry zones reached Stop loss approached Take profit levels hit Works with TradingView's alert system Tips for Best Results Always verify the lot size matches your intended risk Check the liquidation price stays far from your stop loss Monitor the account risk percentage (recommended: keep under 2-3%) Use the warning indicators if risk exceeds margin For quick trades, use single entry/TP; for complex strategies, use multiple levels Example Workflow Find your trade setup using your analysis Add this indicator and click to set levels Check risk metrics in the table Copy the TOTAL LOTS value Enter this exact position size on your exchange Set alerts for key levels if desired This tool bridges the gap between TradingView charting and exchange execution, ensuring your position sizing is always accurate when trading with leverage. Disclaimer, this was coded with help of AI, double check calculations if they are off.
อินดิเคเตอร์ Pine Script®
โดย bujayjay
P/B Ratio (Per Share) vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Book (P/B) ratio in relation to Bollinger Bands and its historical median. - 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context. - 💡 Vertical green shading is applied when the P/B ratio drops below the lower Bollinger Band, which is calculated directly from the P/B ratio itself — not price. This condition often signals the ticker may be oversold. - 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk. - 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry. - ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017. - ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete. - ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence. - 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity. - 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada - 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
อินดิเคเตอร์ Pine Script®
โดย traceockinga
P/E Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Earnings (P/E) ratio in relation to Bollinger Bands and its historical median. - 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context. - 💡 Vertical green shading is applied when the P/E ratio drops below the lower Bollinger Band, which is calculated directly from the P/E ratio itself — not price. This condition often signals the ticker may be oversold. - 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk. - 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry. - ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017. - ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete. - ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence. - 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity. - 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada - 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
อินดิเคเตอร์ Pine Script®
โดย traceockinga
P/S Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Sales (P/S) ratio in relation to Bollinger Bands and its historical median. - 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context. - 💡 Vertical green shading is applied when the P/S ratio drops below the lower Bollinger Band, which is calculated directly from the P/S ratio itself — not price. This condition often signals the ticker may be oversold. - 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk. - 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry. - ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017. - ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete. - ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence. - 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity. - 📢 Idea is based on the script "Historical PE ratio vs median" by @haribotagada - 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
อินดิเคเตอร์ Pine Script®
โดย traceockinga
Confluence StackPlease read the instructions below. The code was mostly written using AI so may contain errors. Happy trading all and good luck. ATB Richard INTENDED USE This indicator is designed for technical traders who want to move beyond simple buy/sell signals and gain a deeper understanding of the underlying market dynamics. It is ideal for trend followers, swing traders, and anyone looking to confirm the quality of a trend. WHO IS THIS FOR? Traders who want to differentiate between strong, sustainable trends and weak, unreliable moves. Analysts looking to identify high-conviction setups backed by multiple factors (e.g., momentum confirmed by volume). Discretionary traders who need a quick, visual tool to gauge market sentiment and avoid choppy conditions. WHY USE IT? Traditional indicators often give conflicting signals. The Confluence Stack solves this by aggregating multiple perspectives into one clear visual. It helps you answer not just "Is the market going up?" but "WHY is it going up, and how strong is the conviction?". This allows for more informed decision-making and helps filter out low-probability trades. DISCLAIMER AND LICENSE This script is for educational purposes only and is not a recommendation to buy or sell any financial instrument. All trading and investment decisions are the sole responsibility of the user. Trading involves significant risk. This source code is subject to the terms of the Mozilla Public License 2.0 at www.mozilla.org HOW TO USE THIS INDICATOR This indicator is designed to show the 'character' of a market move by grouping signals into distinct categories. Instead of seeing many individual signals, you see the strength of the underlying forces driving the price. 1. READ THE HEIGHT (Strength of Confluence) The total height of the stack shows the strength of agreement. A tall stack means many signals are aligned, indicating a high-conviction move. A short stack means weak agreement and a choppy, indecisive market. 2. READ THE COLOR (Character of the Move) The colors tell you WHY the market is moving. BLUE (Momentum): A stack of mostly blue shades indicates a trend driven by pure momentum. This is the 'speed' of the market. RSI (Relative Strength Index): Measures the magnitude of recent price gains versus losses. A smooth measure of trend strength. Stochastic Oscillator: Measures the current closing price's position within the recent high-low range. More sensitive to immediate price action. CCI (Commodity Channel Index): Measures the price's deviation from its moving average. Excels at identifying cyclical turns. MACD (Moving Average Convergence Divergence): A trend-following momentum indicator showing the relationship between two moving averages. Excellent for identifying the start and end of trends. YELLOW (Volume): The appearance of yellow shades confirms the move is supported by high market participation. This is the 'fuel' for the trend. Volume Ratio: A custom signal that triggers when buy or sell volume is unusually high compared to its recent average. CRV (Candle Range Volume): A custom signal that looks for candles with significant price range and volume. OBV (On-Balance Volume): A cumulative indicator that adds volume on up days and subtracts it on down days. It shows the long-term flow of money. FUCHSIA (Volatility): A fuchsia block signals a volatility breakout. This adds a sense of urgency and confirms the price is moving with exceptional force. Bollinger Bands: A signal triggers when the price closes outside of the upper or lower standard deviation bands. ORANGE (Price Action): An orange block is a pure price structure signal. It's a raw statement of intent from the market. Price Gap: A signal that triggers when there's a gap up or gap down between candles. 3. READ THE TRANSITION (Shift in Sentiment) The most important signal from the stacks is the flip from one side of the zero line to the other. Flipping from Negative to Positive: A bearish stack disappears and is replaced by a bullish stack. This indicates market sentiment is shifting from bearish to bullish. Flipping from Positive to Negative: A bullish stack disappears and is replaced by a bearish stack. This warns of a potential top or the start of a new downtrend. 4. FILTER FOR NOISE (Plot Threshold) In choppy markets, the stack can flicker with low signal counts (e.g., +1 or -1). To focus only on high-conviction moves, go to the indicator settings and increase the "Plot Threshold". A setting of 2 or 3 will hide all stacks that don't have at least 2 or 3 agreeing signals, effectively filtering out market noise and keeping your chart clean. 5. CUSTOMIZE YOUR SIGNALS (Enable/Disable) This indicator is fully customizable. In the settings, you can enable or disable each of the 9 indicators individually. For example, if you are a pure momentum trader, you could disable all Volume, Volatility, and Price Action signals to focus only on the blue stacks. Tailor it to fit your specific trading style. EXAMPLE INTERPRETATIONS Strong, Confirmed Trend: A tall stack of mostly blue (Momentum) and yellow (Volume) indicates a high-quality trend backed by both speed and market participation. Momentum-Only Trend: A tall stack of only blue is a strong momentum move, but the lack of yellow (Volume) is a warning that the move may lack the "fuel" to be sustained. Choppy/Indecisive Market: A short, mixed-color stack flickering around the zero line means the market is choppy with no clear conviction. It's often best to stay out. Volatility Breakout: A new stack that appears suddenly with a fuchsia (Bollinger Bands) block on its first bar suggests a volatility-driven breakout is initiating. Exhaustion Move: An orange (Price Gap) block appearing at the peak of a tall, long-standing stack can signal an exhaustion gap, potentially marking the end of the trend. Weakening Conviction (Divergence): If price makes a new high but the positive stack is visibly shorter than the stack at the previous price high, it suggests underlying conviction is weakening.
อินดิเคเตอร์ Pine Script®
โดย richardjamescook123
TitanFlow Position CalculatorTitanFlow Position Calculator - Professional Risk Management Tool Transform your trading with precision position sizing and advanced risk management The TitanFlow Position Calculator is a comprehensive Pine Script indicator designed for serious traders who demand professional-grade risk management tools. Whether you're trading forex, commodities, indices, or crypto, this calculator ensures you never risk more than intended while maximizing your profit potential. 🎯 Key Features: SMART POSITION SIZING Automatic lot size calculation based on your risk parameters Support for percentage risk, fixed amount, or losing streak buffer modes Real-time position size updates as market conditions change Double-up mode for aggressive trading strategies MULTI-ASSET SUPPORT Pre-configured settings for Forex Major/Minor pairs Commodities: Gold, Silver, Oil with accurate pip values Stock indices with proper contract specifications Cryptocurrency trading support Custom instrument configuration for any asset ADVANCED RISK MANAGEMENT Visual risk level categorization (Conservative, Moderate, Aggressive, Extreme) Color-coded risk warnings with threshold alerts Margin requirement calculations with leverage integration Take profit level planning with lot distribution PROFESSIONAL THEMES TitanFlow Dark theme matching the professional trading platform TitanFlow Light theme for bright chart environments Classic dark/light themes for traditional traders Full custom colour control for personalized setups COMPREHENSIVE LEVERAGE SUPPORT Complete leverage options from 1:1 to 1:500 including: 1:1, 1:10, 1:15, 1:20, 1:30, 1:50, 1:100, 1:200, 1:300, 1:400, 1:500 📊 What You'll See: REAL-TIME CALCULATIONS Position size in lots displayed prominently Risk level percentage with color coding Margin requirements in your account currency Stop loss distance in pips Take profit distribution across multiple levels CLEAN INFORMATION TABLE Account balance and currency display Current risk amount being wagered Calculated position size and margin needs Risk categorization with visual indicators Leverage ratio confirmation SMART ALERTS Extreme risk warnings (>5% per trade) Large position alerts (>10 lots) High margin usage notifications (>50% account) Real-time risk assessment updates 🚀 Take Your Trading Further with TitanFlow Want more than just position sizing? Visit titanflow.co.uk to discover the complete TitanFlow trading ecosystem: ✅ Advanced Trading Dashboard - Comprehensive portfolio tracking and analytics ✅ Trade Journal Integration - Log and analyze every trade automatically ✅ AI-Powered Coaching - Get personalized trading insights and recommendations ✅ Monthly Performance Reports - Detailed analytics delivered to your inbox ✅ Risk Management Suite - Professional tools for serious traders ✅ Trading Calendar - Never miss important market events ✅ Community Access - Connect with successful traders worldwide Special Offer: TradingView users get exclusive access to premium features. Transform your trading from guesswork to systematic success. coming soon 🎨 Customization Options: Theme Selection Choose from 5 professional themes Customize every colour element Match your chart aesthetic perfectly Professional branding options Display Controls Position table in any corner Show/hide alerts and warnings Adjustable text sizes Clean, distraction-free interface 💡 Perfect For: Day Traders who need quick position sizing decisions Swing Traders planning multi-level exits Scalpers requiring precise risk control Portfolio Managers overseeing multiple accounts Risk Managers monitoring exposure levels Trading Educators teaching proper risk management 🚀 How to Use: Set Your Account - Enter balance and currency Choose Risk Mode - Percentage (recommended 1-2%), fixed amount, or losing streak buffer Configure Instrument - Select asset type or use custom settings Set Stop Loss - Enter your stop distance in pips Read Results - Get instant position size and risk analysis ⚠️ Risk Management Excellence: This calculator embodies the core principle that successful trading is about risk management, not just profit hunting. By using proper position sizing, you'll: Survive losing streaks with capital intact Compound profits systematically Sleep better knowing your risk is controlled Build consistent trading habits Protect your trading capital long-term Ready to elevate your entire trading operation? Start with this position calculator, then visit titanflow.co.uk to unlock the full potential of systematic, professional trading. This indicator is part of the TitanFlow trading ecosystem. titanflow.co.uk coming soon here you'll be able to obtain the complete professional trading platform.
อินดิเคเตอร์ Pine Script®
โดย KPSAVAGE
🎯 Super MA Arrows with Trend Bands🎯 Core Structure of the Indicator 1. Input Parameters Configuration One of the most comprehensive indicators, featuring 50+ configurable variables, categorized into: MA Settings: Define MA types and periods Signal Settings: Customize signal conditions Display Settings: Manage visual outputs AI Settings: Enable/disable learning module Multi-Timeframe Settings: Analyze across multiple timeframes 2. Moving Average & Envelope Calculations The indicator employs multiple moving averages and an adaptive envelope: Fast MA: Captures short-term movement (default: 9) Slow MA: Reflects overall trend direction (default: 21) Filter MA: Filters market noise (default: 50) Envelope: Auto-adjusting support/resistance zones 3. Market Structure Analysis Purpose: Confirm the market’s directional bias by evaluating swing highs/lows, breakouts, and consolidation zones.
อินดิเคเตอร์ Pine Script®
โดย thanachot22
Super MA Arrows with Trend Bands1. Input Parameters Configuration One of the most comprehensive indicators, featuring 50+ configurable variables, categorized into: MA Settings: Define MA types and periods Signal Settings: Customize signal conditions Display Settings: Manage visual outputs AI Settings: Enable/disable learning module Multi-Timeframe Settings: Analyze across multiple timeframes 2. Moving Average & Envelope Calculations The indicator employs multiple moving averages and an adaptive envelope: Fast MA: Captures short-term movement (default: 9) Slow MA: Reflects overall trend direction (default: 21) Filter MA: Filters market noise (default: 50) Envelope: Auto-adjusting support/resistance zones 3. Market Structure Analysis Purpose: Confirm the market’s directional bias by evaluating swing highs/lows, breakouts, and consolidation zones.
อินดิเคเตอร์ Pine Script®
โดย thanachot22
Long Elite Squeeze (LES) — H.H 22 Lindsay (AI)LES (Long Elite Squeeze) LES (Long Elite Squeeze) is a trading framework designed to capture the highest-probability long setups. It’s not just another signal script — it’s a structured system built to filter noise, manage risk, and keep you aligned with real momentum. 🔹 Core Logic Breakout Confirmation – Ensures moves have structure, not just random spikes. Relative Volume (RVOL) – Confirms participation and fuel behind the move. RSI Alignment – Avoids overextended traps and fakeouts. Squeeze Momentum – The backbone of LES. Signals fire only after a defined squeeze pattern shift (6+ dark green bars followed by a light green bar). 🔹 Trade Management Built In Automated Sell Signals – Trigger on either: 2 consecutive dark green bars on Squeeze Momentum WaveTrend cross down (only valid after a Buy signal — no random shorts) HUD Entry Checklist – Live conditions shown on chart. Status Tracker HUD – Flips between “Waiting for Entry” and “In Trade” for clear context. 🔹 Flexibility 3 switchable squeeze versions (V1, V2, V3) for different market conditions. Customizable EMA & ATR settings (with color options). Session-aware logic — filter signals to prime trading hours. 🔹 Blueprint & Credits LES is a fusion of proven concepts, standing on the shoulders of respected creators: -Squeeze Momentum – LazyBear -WaveTrend Oscillator – LazyBear -Relative Volume – LonesomeTheBlue Breakout/structural logic – refined from classic frameworks Their work laid the foundation — LES expands and integrates them into a complete trading system. ⚡ Why LES Stands Out LES wasn’t coded overnight. It’s the result of countless hours of live testing, rebuilding, and refining. Every feature earned its place by proving value in real trading, not theory. LES is more than an indicator. It’s a disciplined framework — crafted to turn chaos into structure, randomness into probability, and noise into clarity. ⚠️ Disclaimer: This is a trading framework, not financial advice. Performance depends on trader discipline, risk management, and market conditions.
อินดิเคเตอร์ Pine Script®
โดย ElitexFineFir
6
Alexmoku Genesis v0.2.6 — Runtime BulletproofAlexmoku Genesis v0.2.6 – Reinventing Ichimoku with Precision and Intelligence Built by Alex • Engineered for traders who demand more than lagging clouds 🔬 Overview Alexmoku Genesis is a ground-up reimagining of the traditional Ichimoku system — retaining its philosophical foundations of harmony, balance, and structure, while infusing it with modern logic, advanced volatility modeling, and AI-aligned signal classification. This is not your grandfather’s Ichimoku. Genesis transforms it into a forward-sensing, volatility-aware system that adapts in real time and guides discretionary and algorithmic traders alike with smarter signals, predictive structure, and built-in trade intelligence. ⚙️ Core Enhancements 📐 Volatility-Responsive Smoothing Tenkan-sen and Kijun-sen lengths are dynamically adjusted based on recent price volatility (ATR-based). Prevents overreaction in choppy markets and improves responsiveness during strong trends. 🌀 Adaptive Cloud Projection Span A and Span B are still projected 52 periods forward — but cloud width adapts to market rhythm, not just static values. 🕵️ Enhanced Chikou Span (CKS+) Chikou logic is upgraded to emphasize structure interaction, not just simple price overlay. Useful for identifying support/resistance echoes and divergence validation. 🌐 Multi-Timeframe Cloud Awareness (Genesis Core) Internal alignment checks between higher and lower timeframe Kumo positioning. Future module support for overlaying MTF clouds. 🔖 Signal Classifier Engine (Experimental) Each major structure event is tagged with signal intent: 📦 prep 🚀 launch 🔁 reversion 🪤 trap Enables faster discretionary reads or future automation. 🧠 Trust Score Logic (Coming soon) Future versions will assign numerical trust scores (1–10) to trade setups based on confluence. 🧰 Settings 🔧 Volatility Scaling Factor – Adjusts how reactive the indicator is to volatility. Default: 300. 🌫 Displacement (Kumo) – Cloud projection forward. Default (and required): 52. ⛅ Cloud Display Toggle – Show/hide Kumo visuals without affecting logic. ⚡️ Future expansion modules already scaffolded (MTF overlays, color-coded signal classifiers, Trust Score engine, etc.) 🧘 Philosophy Behind the System "This isn’t just about catching runners — it’s about becoming the kind of person who can trade with clarity, peace, and precision." Alexmoku Genesis reflects the W.E.A.L.T.H. System's holistic philosophy: Wealth Engineered Algorithmic Leveraged Trading Holistically Trading isn't just a strategy. It's a mirror. Genesis is designed to train both your execution and your awareness. ⚠️ Disclaimer This tool is designed for experienced technical traders and is still in active development. Use judgment and proper risk management. This is not financial advice.
อินดิเคเตอร์ Pine Script®
โดย Alex_A74
Comet C/2025 N1 (ATLAS) Ephemeris☄️ Ephemeris How-To: Plot JPL Horizons Data on TradingView (Educational) Overview This open-source Pine Script™ v6 indicator demonstrates how to bring external astronomical ephemeris into TradingView and plot it on a daily chart. Using Comet C/2025 N1 (ATLAS) as an example dataset, it shows the mechanics of structuring arrays, indexing by date, and drawing past and forward ( future projections ) values—strictly as an educational visualization of celestial motion. Why This Approach Data is generated from NASA JPL Horizons, a mission-grade, publicly available ephemeris service ( (ssd.jpl.nasa.gov)). On the daily timeframe, Horizons provides high-precision positions you can regenerate whenever solutions update—useful for educational accuracy in exploring orbital data. What’s Plotted - Geocentric ecliptic longitude (Earth-view) - Heliocentric ecliptic longitude (Sun-centered) - Declination (deg from celestial equator) Features - Simple arrays + date indexing (no per-row timestamps) - Circles for historical/current bars; polylines to connect forward points, emphasizing future projections - Toggle any series on/off via inputs - Daily timeframe enforced (runtime error if not 1D) - Optional table with zodiac conversion (AstroLib by BarefootJoey) Data & Updates The example arrays span 2025-07-01 (discovery date) → 2026-01-01. You can refresh them anytime from JPL Horizons (Observer: Geocentric; daily step; include ecliptic lon/lat and declination) and paste the new values into the script. How we pulled the ephemeris from JPL Horizons (quick guide): 0) Open ssd.jpl.nasa.gov System 1. Ephemeris Type: Observer Table 2. Target Body: C/2025 N1 (ATLAS) (or any object you want) 3. Observer Location: Geocentric 4. Time Specification: set Start, Stop, Step = 1 day 5. Table Settings → Quantities: * Astrometric RA & Dec * Heliocentric ecliptic longitude & latitude * Observer (geocentric) ecliptic longitude & latitude 6. Additional Table Settings: * Calendar format: Gregorian * Date/Time: calendar (UTC), Hours & Minutes (HH:MM) * Angle format: Decimal degrees * Refraction model: No refraction / airless * Range units: Astronomical units (au) 7. Generate → Download results (CSV or text). 8. Use AI or a small script to parse columns (e.g., Obs ecliptic lon, Helio ecliptic lon, Declination) into arrays, then paste them into your Pine script. Educational Note This indicator’s goal is to show how to prepare and plot ephemeris—so you can adapt the method for other comets or celestial bodies, or swap in data from existing astro libraries, for learning about astronomical projections using JPL daily data. Credits & License - Ephemeris: Solar System Dynamics Group, Horizons On-Line Ephemeris System, 4800 Oak Grove Drive, Jet Propulsion Laboratory, Pasadena, CA 91109, USA. - Zodiac conversion: AstroLib by BarefootJoey - License: MIT - For educational use only.
อินดิเคเตอร์ Pine Script®
โดย BlueprintResearch
TTE Elite Market SignalsWelcome to TTE Elite Market Signals Your very own personal trading assistant Trading today demands more than intuition—it requires exclusive access to elite-level market intelligence and the discipline to act on high-probability signals. Every professional trader seeks that decisive advantage: the clarity and confidence that separates consistent profitability from market uncertainty. The financial markets show no mercy, demanding precision, logic, and strategy grounded in institutional-grade analysis. Human judgment, while powerful, can be compromised by fatigue and emotion, leading to costly trading errors. This is precisely where TTE Elite Market Signals excels. Our sophisticated platform combines proven trading methodologies with advanced signal generation technology, delivering market intelligence that empowers you to identify optimal entry and exit opportunities while maintaining complete control over your trading decisions. Revolutionary Signal Intelligence TTE Elite Market Signals features adaptive learning technology that evolves with market conditions. It continuously refines its analysis, helping you identify higher-probability setups while providing the market intelligence needed for superior risk management. Elite Analysis Modes Our platform adapts its signal generation to match market personalities: - Institutional Flow Mode (MM-hybrid): Identifies manipulation patterns and tracks smart money movement with exclusive institutional-grade precision - Momentum Adaptive Mode: Rapidly adjusts analysis when volatility and momentum shift - Conservative Precision Mode: Steady, risk-conscious signals for consistent performance - Adaptive Intelligence Mode: Self-refining system that enhances signal quality over time from past trades (long term of use) Comprehensive Signal Intelligence TTE Elite Market Signals integrates multiple sophisticated analytical systems: - Volume Profile analysis for exclusive institutional-level market insights - Pattern recognition enhanced by machine learning algorithms - Intelligent exit timing that identifies optimal profit-taking opportunities - Protection against market manipulation tactics - Position sizing guidance that scales with trading success - Fibonacci based reversal logic Perfect for Your Trading Evolution Experienced traders appreciate our sophisticated market intelligence and institutional-grade analytics that provide genuine competitive advantages. Developing traders benefit from intelligent signal analysis that handles complex market calculations while teaching professional-level market interpretation and risk management principles via visuals on chart and descriptive panel. All timeframes supported—from scalping to swing trading, TTE Elite Market Signals adapts to your preferred trading style via several user input selections. Two Elite Service Modes 1. Signal Intelligence Mode: Real-time market signals with AI-driven analysis and detailed trade rationale 2. Alert Precision Mode: High-probability setup notifications with comprehensive market context and risk parameters The Exclusive Learning Advantage What makes TTE Elite Market Signals exceptional: it maintains a comprehensive trade memory and identifies the highest-probability signals, adapts to changing volatility patterns, and continuously refines(does not repaint) its analysis to enhance your profit potential and trading accuracy. Built-in Professional Protection - Advanced manipulation detection safeguards against institutional market maker(MM) tactics - Intelligent risk assessment adjusts signal confidence based on market conditions - Progressive scaling guidance maximizes winners while minimizing losses(educational) - Comprehensive oversight with customizable risk parameters Experience the Elite Difference TTE gives you visuals on the chart of past trades and live metrics results to see what actually work and what fails, to minimize unrealistic expectations. Just sit back and watch sophisticated algorithms work tirelessly on your behalf, identifying opportunities that others miss and alerting you as signals are generated. Transforming the stressful, emotional battlefield of trading into a systematic analytical approach. Let the System Do the Heavy Lifting While others struggle with analysis paralysis and emotional decision-making, you'll have access to signals that have already processed hundreds of data points, identified institutional patterns, and calculated optimal risk-reward scenarios for a far less stressful trading experience. What Elite Traders Should Know TTE Elite Market Signals represents cutting-edge signal generation technology designed for serious market education and skill development, but it is not a black box, nor perfect for all markets. It must be adjusted to yield optimal results. While our advanced capabilities and institutional-grade features provide significant analytical advantages, trading success requires discipline and proper execution. Markets evolve, and optimal results demand understanding of signal context. Success with TTE Elite Market Signals comes from mastering our analytical modes and using the proper entry types such as breakout entry, machine learning(ML) entry etc, utilizing and selecting the most effective risk control to optimize it, and maintaining disciplined risk management. Join the Elite Trading Revolution This isn't just another signal service—it equips you with the tools to do proper market analysis displaying price movement and volume profile designed for serious traders who understand that consistent profitability comes from discipline, superior market intelligence and proper interpretation, not luck. Trade smart, stay profitable, and achieve trading excellence. Best TTE Settings Trade Entry Types: 1st Best Breakout Entry(out perform all others when used alone) 2nd Best ML Entry by itself or + Pattern Entry Combined Risk Management: ATR Multiplier 2 Enable Master Size Control Master Size Mode Max Risk Per Trade % 2.5 Max Multiplier Cap 1.5 Enable Growth Scaling Growth Scaling Mode-set to Time Based or Performance Risk Management System- set to Hybrid Enable ML System ML Mode-set to Auto or Quantum Learning ML Application Strategy-set to Universal All Entries Enable Trend Continuation Mode- Set to Standard Independent Entry-stays unchecked(off) Best Performing Instruments on TTE (will update list as more are adjusted and tested) NVDA AMD AMZN TSLA SPY QQQ PLTR
กลยุทธ์ Pine Script®
โดย Jmont
4
ROPSON AI Ultra 3.27 How It Takes a Long (Buy) Position The code will only enter a long position when two conditions are met simultaneously. Both must be true for a buy signal to be generated: The current candle's close price crosses above the previous candle's high. This is the breakout signal. It indicates strong upward momentum. The current candle's close price is above the 200 EMA. This is the trend filter. The 200 EMA (Exponential Moving Average) is a widely used indicator for long-term trend. If the price is above it, the market is considered to be in an uptrend. By requiring both conditions, the strategy aims to enter trades that have both short-term momentum (the breakout) and long-term trend confirmation (the EMA filter). How It Takes a Short (Sell) Position Similarly, a short position is only entered when both of these conditions are true at the same time: The current candle's close price crosses below the previous candle's low. This is the breakdown signal, indicating strong downward momentum. The current candle's close price is below the 200 EMA. This confirms that the market is in a downtrend.
กลยุทธ์ Pine Script®
โดย bmbaeps
Machine Learning BBPct [BackQuant]Machine Learning BBPct What this is (in one line) A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system. Background: %B in plain terms Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes. Why add (simplified) KNN? Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas: • Feature vector . Each bar is summarized by up to five normalized features:   – %B itself (normalized)   – Band width (volatility proxy)   – Price momentum (ROC)   – Volume momentum (ROC of volume)   – Price position within the bands • Distance metric . Euclidean distance ranks the most similar recent bars. • Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance. • Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence. This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration. How the script is organized (by input groups) 1) BBPct Settings • Price Source – Which price to evaluate (%B is computed from this). • Calculation Period – Lookback for SMA basis and standard deviation. • Multiplier – Standard deviation width (e.g., 2.0). • Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B. 2) Thresholds • Overbought/Oversold – Default 0.8 / 0.2 (inside ). • Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions. 3) KNN Machine Learning • Enable KNN – Switch between pure %B and hybrid. • K (neighbors) – How many historical analogs to blend (default 8). • Historical Period – Size of the search window for neighbors. • ML Weight – Blend between raw %B and KNN estimate. • Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows. 4) Filtering • Method – None, Adaptive, Kalman-style (first-order), or Hull smoothing. • Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate. 5) Performance Tracking • Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest). • Early Entry Lookback – Horizon for forecasting a potential threshold cross. • Profit Target / Stop Loss – Used only by the internal win-rate heuristic. 6) Self-Optimization • Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes). • Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is. • Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3). 7) UI Settings • Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays. • Signal Line Width, Candle Painting, Colors – Visual preferences. Step-by-step logic A) Compute %B Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev. %B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB . B) Build the feature vector All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5). C) Find nearest neighbors For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K . D) Predict and blend Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient. E) Adaptive thresholds Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes. F) Early entry heuristic A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself. G) Informational win-rate The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest. Outputs and visual language • ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering. • Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline. • Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes. • ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7. • Early arrows – Optional small triangles for approaching OB/OS. • Candle painting – Light green above the midline, light red below (optional). • Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed. Signal classification (informational) The indicator does not fire trade commands; it labels state: • STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds. • BUY / SELL – finalBB beyond adaptive OS/OB. • EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence. • NEUTRAL – between adaptive bands. Alerts (what you can automate) • Entering adaptive OB/OS and extreme OB/OS. • Midline cross (0.5). • Overfitting detected (frequent parameter flipping). • Early signals when early confidence > 0.7. These are purely descriptive triggers around the indicator’s state. Practical interpretation • Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B. • Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts. • Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag. • Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools. • Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop. Methodological notes • Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that. • Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts. • Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias. • Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA. • Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator. • Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative. Limitations and cautions • Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks). • Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare. • Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail. • Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest. • Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives. Tuning guide • Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength. • Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest. • Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges. • Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes. How to use it responsibly Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation. Summary Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
อินดิเคเตอร์ Pine Script®
โดย BackQuant
2
Trend and verser AI indicator V1.01Declaration: NO REPAINTING, NO LAG, NO DISPLACEMENT – SIGNALS NEVER DISAPPEAR! Indicator Usage Guide (Simple & Effective): (1) Red Zone + UP Arrow → Go LONG (2) Green Zone + DOWN Arrow → Go SHORT (3) Alternating Red/Green Zones → Consolidation Phase (NO TRADING!) Default parameters are optimized for reliable signals but can be customized as needed. Instructions: (1) This indicator is suitable for any trading instrument (stocks, futures, forex, cryptocurrencies, options, etc.) and any timeframe (minutes, hours, days, weeks, months). (2) The indicator only provides entry signals (buy/sell signals). It does not provide exit signals. Profitability depends entirely on your holding period. This indicator does not guarantee profits. (3) Arrows come in Red and Blue, representing two different signal types. Red signals may provide more precise reversal points on the candlestick chart compared to Blue signals. (4) The indicator plots three distinct trend lines: a Red trend line, a Green trend line, and a Yellow trend line. (5) * When the Red trend line is ABOVE the Yellow trend line, it signifies a Bullish (uptrend) market,consider taking LONG positions based on arrow signals. * When the Green trend line is BELOW the Yellow trend line, it signifies a Bearish (downtrend) market,consider taking SHORT positions based on arrow signals. * When the Red and Green trend lines are ALTERNATING (crossing frequently), it signifies a Ranging (sideways/consolidation) market, arrow signals are less reliable during this phase, and trading is NOT recommended.
อินดิเคเตอร์ Pine Script®
โดย zhushanshao
Trend and Reverse AI indicator Declaration: NO REPAINTING, NO LAG, NO DISPLACEMENT – SIGNALS NEVER DISAPPEAR! Indicator Usage Guide (Simple & Effective): (1) Red Zone + UP Arrow → Go LONG (2) Green Zone + DOWN Arrow → Go SHORT (3) Alternating Red/Green Zones → Consolidation Phase (NO TRADING!) Default parameters are optimized for reliable signals but can be customized as needed. Instructions: (1) This indicator is suitable for any trading instrument (stocks, futures, forex, cryptocurrencies, options, etc.) and any timeframe (minutes, hours, days, weeks, months). (2) The indicator only provides entry signals (buy/sell signals). It does not provide exit signals. Profitability depends entirely on your holding period. This indicator does not guarantee profits. (3) Arrows come in Red and Blue, representing two different signal types. Red signals may provide more precise reversal points on the candlestick chart compared to Blue signals. (4) The indicator plots three distinct trend lines: a Red trend line, a Green trend line, and a Yellow trend line. (5) * When the Red trend line is ABOVE the Yellow trend line, it signifies a Bullish (uptrend) market,consider taking LONG positions based on arrow signals. * When the Green trend line is BELOW the Yellow trend line, it signifies a Bearish (downtrend) market,consider taking SHORT positions based on arrow signals. * When the Red and Green trend lines are ALTERNATING (crossing frequently), it signifies a Ranging (sideways/consolidation) market, arrow signals are less reliable during this phase, and trading is NOT recommended.
อินดิเคเตอร์ Pine Script®
โดย zhushanshao
New RSI📌 New RSI The New RSI is a modern, enhanced version of the classic RSI created in 1978 — redesigned for today’s fast-moving markets, where algorithmic trading and AI dominate price action. This indicator combines: Adaptive RSI: Adjusts its calculation length in real time based on market volatility, making it more responsive during high volatility and smoother during calm periods. Dynamic Bands: Upper and lower bands calculated from historical RSI volatility, helping you spot overbought/oversold conditions with greater accuracy. Trend & Regime Filters: EMA and ADX-based detection to confirm signals only in favorable market conditions. Volume Confirmation: Signals appear only when high trading volume supports the move — green volume for bullish setups and red volume for bearish setups — filtering out weak and unreliable trades. 💡 How it works: A LONG signal appears when RSI crosses above the lower band and the volume is high with a bullish candle. A SHORT signal appears when RSI crosses below the upper band and the volume is high with a bearish candle. Trend and higher timeframe filters (optional) can help improve precision and adapt to different trading styles. ✅ Best Use Cases: Identify high-probability reversals or pullbacks with strong momentum confirmation. Avoid false signals by trading only when volume validates the move. Combine with your own support/resistance or price action strategy for even higher accuracy. ⚙️ Fully Customizable: Adjustable RSI settings (length, volatility adaptation, smoothing) Dynamic band sensitivity Volume threshold multiplier Higher timeframe RSI filter Color-coded background for market regime visualization This is not just another RSI — it’s a complete, next-gen momentum tool designed for traders who want accuracy, adaptability, and confirmation in every signal.
อินดิเคเตอร์ Pine Script®
โดย BullBearSR
Prime NumbersPrime Numbers highlights prime numbers (no surprise there 😅), tokens and the recent "active" feature in "input". 🔸 CONCEPTS 🔹 What are Prime Numbers? A prime number (or a prime) is a natural number greater than 1 that is not a product of two smaller natural numbers. Wikipedia: Prime number 🔹 Prime Factorization The fundamental theorem of arithmetic states that every integer larger than 1 can be written as a product of one or more primes. More strongly, this product is unique in the sense that any two prime factorizations of the same number will have the same number of copies of the same primes, although their ordering may differ. So, although there are many different ways of finding a factorization using an integer factorization algorithm, they all must produce the same result. Primes can thus be considered the "basic building blocks" of the natural numbers. Wikipedia: Fundamental theorem of arithmetic Math Is Fun: Prime Factorization We divide a given number by Prime Numbers until only Primes remain. Example: 24 / 2 = 12 | 24 / 3 = 8 12 / 3 = 4 | 8 / 2 = 4 4 / 2 = 2 | 4 / 2 = 2 | 24 = 2 x 3 x 2 | 24 = 3 x 2 x 2 or | or 24 = 2² x 3 | 24 = 2² x 3 In other words, every natural/integer number above 1 has a unique representation as a product of prime numbers, no matter how the number is divided. Only the order can change, but the factors (the basic elements) are always the same. 🔸 USAGE The Prime Numbers publication contains two use cases: Prime Factorization: performed on "close" prices, or a manual chosen number. List Prime Numbers: shows a list of Prime Numbers. The other two options are discussed in the DETAILS chapter: Prime Factorization Without Arrays Find Prime Numbers 🔹 Prime Factorization Users can choose to perform Prime Factorization on close prices or a manually given number. ❗️ Note that this option only applies to close prices above 1, which are also rounded since Prime Factorization can only be performed on natural (integer) numbers above 1. In the image below, the left example shows Prime Factorization performed on each close price for the latest 50 bars (which is set with "Run script only on 'Last x Bars'" -> 50). The right example shows Prime Factorization performed on a manually given number, in this case "1,340,011". This is done only on the last bar. When the "Source" option "close price" is chosen, one can toggle "Also current price", where both the historical and the latest current price are factored. If disabled, only historical prices are factored. Note that, depending on the chosen options, only applicable settings are available, due to a recent feature, namely the parameter "active" in settings. Setting the "Source" option to "Manual - Limited" will factorize any given number between 1 and 1,340,011, the latter being the highest value in the available arrays with primes. Setting to "Manual - Not Limited" enables the user to enter a higher number. If all factors of the manual entered number are in the 1 - 1,340,011 range, these factors will be shown; however, if a factor is higher than 1,340,011, the calculation will stop, after which a warning is shown: The calculated factors are displayed as a label where identical factors are simplified with an exponent notation in superscript. For example 2 x 2 x 2 x 5 x 7 x 7 will be noted as 2³ x 5 x 7² 🔹 List Prime Numbers The "List Prime Numbers" option enables users to enter a number, where the first found Prime Number is shown, together with the next x Prime Numbers ("Amount", max. 200) The highest shown Prime Number is 1,340,011. One can set the number of shown columns to customize the displayed numbers ("Max. columns", max. 20). 🔸 DETAILS The Prime Numbers publication consists out of 4 parts: Prime Factorization Without Arrays Prime Factorization List Prime Numbers Find Prime Numbers The usage of "Prime Factorization" and "List Prime Numbers" is explained above. 🔹 Prime Factorization Without Arrays This option is only there to highlight a hurdle while performing Prime Factorization. The basic method of Prime Factorization is to divide the base number by 2, 3, ... until the result is an integer number. Continue until the remaining number and its factors are all primes. The division should be done by primes, but then you need to know which one is a prime. In practice, one performs a loop from 2 to the base number. Example: Base_number = input.int(24) arr = array.new() n = Base_number go = true while go for i = 2 to n if n % i == 0 if n / i == 1 go := false arr.push(i) label.new(bar_index, high, str.tostring(arr)) else arr.push(i) n /= i break Small numbers won't cause issues, but when performing the calculations on, for example, 124,001 and a timeframe of, for example, 1 hour, the script will struggle and finally give a runtime error. How to solve this? If we use an array with only primes, we need fewer calculations since if we divide by a non-prime number, we have to divide further until all factors are primes. I've filled arrays with prime numbers and made libraries of them. (see chapter "Find Prime Numbers" to know how these primes were found). 🔹 Tokens A hurdle was to fill the libraries with as many prime numbers as possible. Initially, the maximum token limit of a library was 80K. Very recently, that limit was lifted to 100K. Kudos to the TradingView developers! What are tokens? Tokens are the smallest elements of a program that are meaningful to the compiler. They are also known as the fundamental building blocks of the program. I have included a code block below the publication code (// - - - Educational (2) - - - ) which, if copied and made to a library, will contain exactly 100K tokens. Adding more exported functions will throw a "too many tokens" error when saving the library. Subtracting 100K from the shown amount of tokens gives you the amount of used tokens for that particular function. In that way, one can experiment with the impact of each code addition in terms of tokens. For example adding the following code in the library: export a() => a = array.from(1) will result in a 100,041 tokens error, in other words (100,041 - 100,000) that functions contains 41 tokens. Some more examples, some are straightforward, others are not ) // adding these lines in one of the arrays results in x tokens , 1 // 2 tokens , 111, 111, 111 // 12 tokens , 1111 // 5 tokens , 111111111 // 10 tokens , 1111111111111111111 // 20 tokens , 1234567890123456789 // 20 tokens , 1111111111111111111 + 1 // 20 tokens , 1111111111111111111 + 8 // 20 tokens , 1111111111111111111 + 9 // 20 tokens , 1111111111111111111 * 1 // 20 tokens , 1111111111111111111 * 9 // 21 tokens , 9999999999999999999 // 21 tokens , 1111111111111111111 * 10 // 21 tokens , 11111111111111111110 // 21 tokens //adding these functions to the library results in x tokens export f() => 1 // 4 tokens export f() => v = 1 // 4 tokens export f() => var v = 1 // 4 tokens export f() => var v = 1, v // 4 tokens //adding these functions to the library results in x tokens export a() => const arraya = array.from(1) // 42 tokens export a() => arraya = array.from(1) // 42 tokens export a() => a = array.from(1) // 41 tokens export a() => array.from(1) // 32 tokens export a() => a = array.new() // 44 tokens export a() => a = array.new(), a.push(1) // 56 tokens What if we could lower the amount of tokens, so we can export more Prime Numbers? Look at this example: 829111, 829121, 829123, 829151, 829159, 829177, 829187, 829193 Eight numbers contain the same number 8291. If we make a function that removes recurrent values, we get fewer tokens! 829111, 829121, 829123, 829151, 829159, 829177, 829187, 829193 //is transformed to: 829111, 21, 23, 51, 59, 77, 87, 93 The code block below the publication code (// - - - Educational (1) - - - ) shows how these values were reduced. With each step of 100, only the first Prime Number is shown fully. This function could be enhanced even more to reduce recurrent thousands, tens of thousands, etc. Using this technique enables us to export more Prime Numbers. The number of necessary libraries was reduced to half or less. The reduced Prime Numbers are restored using the restoreValues() function, found in the library fikira/Primes_4. 🔹 Find Prime Numbers This function is merely added to show how I filled arrays with Prime Numbers, which were, in turn, added to libraries (after reduction of recurrent values). To know whether a number is a Prime Number, we divide the given number by values of the Primes array (Primes 2 -> max. 1,340,011). Once the division results in an integer, where the divisor is smaller than the dividend, the calculation stops since the given number is not a Prime. When we perform these calculations in a loop, we can check whether a series of numbers is a Prime or not. Each time a number is proven not to be a Prime, the loop starts again with a higher number. Once all Primes of the array are used without the result being an integer, we have found a new Prime Number, which is added to the array. Doing such calculations on one bar will result in a runtime error. To solve this, the findPrimeNumbers() function remembers the index of the array. Once a limit has been reached on 1 bar (for example, the number of iterations), calculations will stop on that bar and restart on the next bar. This spreads the workload over several bars, making it possible to continue these calculations without a runtime error. The result is placed in log.info() , which can be copied and pasted into a hardcoded array of Prime Number values. These settings adjust the amount of workload per bar: Max Size: maximum size of Primes array. Max Bars Runtime: maximum amount of bars where the function is called. Max Numbers To Process Per Bar: maximum numbers to check on each bar, whether they are Prime Numbers. Max Iterations Per Bar: maximum loop calculations per bar. 🔹 The End ❗️ The code and description is written without the help of an LLM, I've only used Grammarly to improve my description (without AI :) )
อินดิเคเตอร์ Pine Script®
โดย fikira
13
Hull Moving Average Quantum Pro - Advanced Trading SystemThe Hull Moving Average Quantum Pro is a next-generation technical analysis tool that combines the legendary smoothness of Alan Hull's HMA formula with advanced quantum field visualization technology. This professional-grade indicator features three synchronized Hull Moving Average periods working in harmony to identify high-probability trading opportunities. 🎯 KEY FEATURES: • Multi-Timeframe HMA Confluence - Triple HMA system (9, 21, 55 periods) for comprehensive trend analysis • Quantum Field Visualization - Fibonacci-based dynamic support/resistance bands with 0.618, 1.0, and 1.618 ratios • Energy Flow Momentum - Real-time visual representation of market momentum and directional bias • Confluence Zone Detection - Automatically highlights areas where multiple HMAs converge for high-probability setups • Professional Holographic Dashboard - Real-time trend strength, momentum, and market status display • Three Visual Themes - Dark Intergalactic (Quantum Trading), Light Minimal (Clean Charts), Pro Modern (Low Saturation) ⚡ WHAT MAKES IT UNIQUE: Unlike traditional moving average indicators, the HMA Quantum Pro eliminates lag while maintaining smoothness, providing traders with faster signals without sacrificing reliability. The quantum field visualization adds a new dimension to price action analysis by creating dynamic zones that adapt to market volatility. 📊 PERFECT FOR: • Day Trading & Scalping - Fast HMA (9) provides quick entry/exit signals • Swing Trading - Medium HMA (21) confirms trend continuation • Position Trading - Slow HMA (55) identifies major trend changes • All Markets - Forex, Stocks, Crypto, Futures, Indices 🔧 ADVANCED SETTINGS: • Customizable HMA periods for any trading style • Adjustable confluence threshold for precision filtering • Visual intensity control for optimal chart clarity • Field transparency settings for multi-indicator setups 💡 HOW TO USE: 1. Strong Bullish Signal - All three HMAs aligned upward with price above quantum fields 2. Strong Bearish Signal - All three HMAs aligned downward with price below quantum fields 3. Confluence Zones - High probability reversal/continuation areas 4. Energy Flow - Confirms momentum direction and strength ⭐ FREE VERSION FEATURES: This free version includes all visual features and calculations. Premium version (coming soon) will add advanced alerts, multi-timeframe analysis, and AI-powered trade suggestions. Created by professional traders for serious market participants. The Hull Moving Average formula was created by Alan Hull to reduce lag while maintaining smoothness - this indicator enhances that foundation with modern visualization technology.
อินดิเคเตอร์ Pine Script®
โดย PineProfits
1