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Auto Seasonality Scanner by Novatrix CapitalThe Auto Seasonality Scanner analyzes historical daily price data to identify recurring seasonal patterns in the market. It highlights periods over the last 10 years where certain price movements have historically occurred. This indicator is designed for the DAILY (1D) timeframe only. Key Features: Visualizes historical entry and exit points for Long and Short patterns using vertical lines. Option to exclude specific years (e.g., 2020) from the analysis. Optional filter by US election cycles. Calculates average returns, win rates, trade lengths, and number of trades for each pattern. Displays results in a customizable table with color-coded Long and Short patterns. This tool is for educational and informational purposes only. It provides a visual guide to potential recurring seasonal trends and does not constitute financial advice or trading recommendations.
Indicateur Pine Script®
par NovatrixCapital
2
AI Probabilistic OrderFlow Scalper⭐ Description: 📌 AI Probabilistic OrderFlow Scalper This script combines Order Flow, Auction Market Theory, Volume Imbalance, Market Structure (HH/LL), RSI bias filtering, and a probability-based direction model inspired by AI and statistics. It produces high-precision scalping entries designed for fast markets such as Futures, while remaining compatible with all markets (indices, crypto, forex, metals). This is not a typical indicator — it is a probabilistic predictive model engineered to provide sniper entries, a tick-based Take Profit, a volatility-adaptive ATR Stop Loss, and optional Value Area levels (VAH/VAL/POC). ⭐ Main Features: 🔥 Directional probability model (AI-style weighted scoring) 📊 Order Flow imbalance (delta-like logic) 📈 HH/LL market structure detection 🎯 Smart RSI bias filter 🚀 One signal per trend shift (anti-spam) 🎯 Tick-based Take Profit (perfect for NQ / futures) 🛡️ ATR-based dynamic Stop Loss 📉 Value Area display: VAH, VAL, POC 🔊 Volume confirmation filter 📡 Directional probability plot ✔️ Works for Futures, Crypto, Forex, Indices 🧠 Probabilistic AI Approach The model uses a 3-factor scoring system: Order Flow imbalance Market structure (HH/LL) RSI trend bias Each validated condition = 1 point. The total score is converted into Buy/Sell probabilities, and the higher-probability direction is selected. When probability exceeds the threshold (e.g. 80%), the system triggers a high-confidence sniper signal. This mirrors Revenue Management logic: → Only take a decision when probability of success is maximized. 🎯 Buy/Sell Signals (Sniper Entries) 🔵 Green triangle under the candle = high-probability Buy 🔴 Red triangle above the candle = high-probability Sell ✔️ Only one signal per directional shift ✔️ Signals appear only when all strict filters are satisfied 📌 Automatic TP / SL TP: fixed tick-based (e.g. 100 ticks for NQ scalping) SL: ATR-based, adapts to volatility TP/SL display can be enabled or disabled Perfectly calibrated for high-speed scalping. 📘 How to Use Use on every timeframe Adjust probability threshold (75–90 recommended) Enable strict mode for maximum precision Let the model filter entries automatically Choose a TP suitable for your market Optionally display VAH/VAL/POC for Auction Theory context Always test using backtesting before going live 🏆 Advantages Extremely fast for scalping High win-rate potential via probabilistic filtering Clean signals (no noise or spam) Combines the strongest trading frameworks: Order Flow Market Structure Statistical modeling Volume profiling Automated risk management
Indicateur Pine Script®
par mounir438
AI Probabilistic OrderFlow Scalper⭐ Main Name AI Probabilistic OrderFlow Scalper ⭐Description: 📌 AI Probabilistic OrderFlow Scalper — Predictive Auction Theory Model for Futures This script combines Order Flow, Auction Market Theory, Volume Imbalance, Market Structure (HH/LL), RSI bias filtering, and a probability-based direction model inspired by AI and Revenue Management. It produces high-precision scalping entries designed for fast markets such as Nasdaq Futures (NQ), while remaining compatible with all markets (indices, crypto, forex, metals). This is not a typical indicator — it is a probabilistic predictive model engineered to provide sniper entries, a tick-based Take Profit, a volatility-adaptive ATR Stop Loss, and optional Value Area levels (VAH/VAL/POC). ⭐ Main Features 🔥 Directional probability model (AI-style weighted scoring) 📊 Order Flow imbalance (delta-like logic) 📈 HH/LL market structure detection 🎯 Smart RSI bias filter 🚀 One signal per trend shift (anti-spam) 🎯 Tick-based Take Profit (perfect for NQ / futures) 🛡️ ATR-based dynamic Stop Loss 📉 Value Area display: VAH, VAL, POC 🔊 Volume confirmation filter 📡 Directional probability plot ✔️ Works for Futures, Crypto, Forex, Indices 🧠 Probabilistic AI Approach The model uses a 3-factor scoring system: Order Flow imbalance Market structure (HH/LL) RSI trend bias Each validated condition = 1 point. The total score is converted into Buy/Sell probabilities, and the higher-probability direction is selected. When probability exceeds the threshold (e.g. 80%), the system triggers a high-confidence sniper signal. This mirrors Hight probability decision: → Only take a decision when probability of success is maximized. 🎯 Buy/Sell Signals (Sniper Entries) 🔵 Green triangle under the candle = high-probability Buy 🔴 Red triangle above the candle = high-probability Sell ✔️ Only one signal per directional shift ✔️ Signals appear only when all strict filters are satisfied 📌 Automatic TP / SL TP: fixed tick-based (e.g. 100 ticks for NQ scalping) SL: ATR-based, adapts to volatility TP/SL display can be enabled or disabled Perfectly calibrated for high-speed scalping. 📘 How to Use Use any timeframe Adjust probability threshold (75–90 recommended) Enable strict mode for maximum precision Let the model filter entries automatically Choose a TP suitable for your market Optionally display VAH/VAL/POC for Auction Theory context Always test using backtesting before going live 🏆 Advantages Extremely fast for scalping High win-rate potential via probabilistic filtering Clean signals (no noise or spam) Combines the strongest trading frameworks: Order Flow Market Structure Statistical modeling Volume profiling Automated risk management
Indicateur Pine Script®
par mounir438
Dynamic Breakout Odds [RayAlgo]█  OVERVIEW Dynamic Breakout Odds is a probability-based breakout tool that uses ATR and pattern matching to estimate how likely price is to expand up or down from the current candle. Instead of guessing, the indicator scans historical candles that look like the current one and measures how often price broke above or below by a volatility-based amount. It then projects those probabilities forward as clean levels and a bias dashboard on your chart. Use it to quickly answer: • “Is the next move statistically more likely up or down?” • “How far does price typically travel from here, in ATR terms?” █  CONCEPTS Candle Profile Matching The script builds a “profile” of the current setup using two elements: • The color of the previous candle (bullish close vs bearish close) • The trend environment (above/below EMA, if the filter is enabled) Only historical candles with the same profile are used for statistics. This keeps the probabilities specific to the current context instead of mixing all market conditions together. ATR-Based Expansion For every matching historical candle, the script checks how far price moved away from the open using ATR: • Upward move thresholds  • Moderate expansion (≈ 0.5 ATR above the open)  • Stronger expansion (≈ 1.0 ATR above the open) • Downward move thresholds  • Moderate expansion (≈ 0.5 ATR below the open)  • Stronger expansion (≈ 1.0 ATR below the open) It counts how often each expansion happened, then converts those counts into probabilities. Normalized Probability Scores The indicator doesn’t just show raw percentages; it normalizes them so that all scenarios together form a consistent probability set. Internally it tracks four outcomes for similar candles: • Chance of a moderate move upward • Chance of a strong move upward • Chance of a moderate move downward • Chance of a strong move downward These are then normalized so the total is roughly 100%. From this, two main metrics are derived: • Bullish Strength = combined normalized odds of upside moves • Bearish Strength = combined normalized odds of downside moves Whichever side has the higher score defines the current directional bias . █  WHAT YOU SEE ON THE CHART 1. Breakout Projection Levels Four horizontal levels are projected around the open of the current bar: • Two upside levels  • Nearer upside expansion (~0.5 ATR above the open)  • Further upside expansion (~1.0 ATR above the open) • Two downside levels  • Nearer downside expansion (~0.5 ATR below the open)  • Further downside expansion (~1.0 ATR below the open) Each line extends a configurable number of bars into the future, so you visually see a breakout “corridor” above and below price. 2. Probability Labels At the right edge of each line, you’ll see a label such as: • “X% – near upside” • “Y% – further downside” These labels tell you how frequently similar candles in the chosen lookback reached that expansion. You immediately know which scenario has been more common historically. 3. Breakout Zones Between the paired upside lines and the paired downside lines, shaded “probability zones” can be shown: • The upper shaded band highlights the typical upside expansion range • The lower shaded band highlights the typical downside expansion range These zones visually group probable target areas instead of just single lines. 4. Background Tint The background behind price is softly tinted towards: • Bullish color when Bullish Strength > Bearish Strength • Bearish color when Bearish Strength > Bullish Strength The stronger the statistical imbalance between the two, the more pronounced the tint. This gives you an instant feel for whether conditions lean more Long, more Short, or are nearly Neutral. 5. Directional Bias Arrow On the last bar the script can plot a clean arrow: • Up-arrow below price when bullish odds dominate • Down-arrow above price when bearish odds dominate The arrow is positioned beyond all projection lines, making it easy to see even on cluttered charts and reminding you of the current statistical bias without text. 6. Origin Marker A small horizontal mark is drawn at the open of the current candle. This acts as the “starting point” from which all ATR-based expansions above and below are measured. 7. Dashboard Panel A compact dashboard is drawn in a corner of the chart (location configurable). It displays: • Bullish Strength – combined normalized probability for upside expansions • Bearish Strength – combined normalized probability for downside expansions • Bias – “Long Bias”, “Short Bias”, or “Neutral” • Trend Filter – shows whether EMA-based filtering is ON or OFF and which length is used This gives you a quick, text-based summary of the current statistical environment. █  SETTINGS Analysis Lookback Period • Controls how many historical bars the script inspects when searching for similar candles. • Larger values = more history, smoother statistics, slower adaptation. • Smaller values = faster adaptation, but more noise and less stability. ATR Length • The period used to compute ATR volatility. • Defines how “big” 0.5 ATR and 1.0 ATR moves are on your current symbol and timeframe. Trend Filter (EMA) • Filter by Trend?  • When ON, only historical candles in a similar trend regime are used.  • When OFF, all past candles with similar color are considered, regardless of trend. • Trend EMA Length  • EMA period used to classify trend.  • Price above EMA → uptrend environment.  • Price below EMA → downtrend environment. This filter helps you separate behavior in uptrends from downtrends, which can significantly change breakout dynamics. Visual Settings • Projection Width (bars)  • How far the lines and zones extend into the future. • Show Probability Zones  • Toggle shaded bands between each pair of levels. • Label Size  • Choose smaller or larger text for the probability labels on the right. • Tint Background by Bias  • Turn the bias-based background on or off. • Show Bias Marker on Last Candle  • Toggle the up/down arrow marker. • Dashboard Location  • Select top/bottom left/right corner for the panel. █  HOW TO USE IT 1. Start With the Dashboard Look at Bullish Strength vs Bearish Strength: • If bullish is clearly larger → environment statistically favors upside expansion. • If bearish is clearly larger → environment statistically favors downside expansion. • If they are close → treat the situation as Neutral; consider reducing position size or waiting for more clarity. 2. Use Levels as Dynamic Targets The projected lines and zones can serve as: • Profit targets based on typical expansion distance • Logical regions for scaling out • Areas where you expect price behavior to change (e.g., loss of momentum) Short-term traders often focus on the nearer expansion levels, while swing traders may use the farther levels as extended targets. 3. Align With Trend (Optional) With the trend filter ON: • Prefer Long setups when price is above the EMA and bullish probabilities dominate. • Prefer Short setups when price is below the EMA and bearish probabilities dominate. With the filter OFF, you get pure color-plus-pattern statistics across the whole lookback, which can be useful if you deliberately trade counter-trend or range conditions. 4. Combine With Your Existing System Dynamic Breakout Odds is best used as a confirmation and targeting layer : • Combine it with structure (support/resistance, supply/demand, order blocks). • Combine it with volume or orderflow tools if you use them. • Use the probability zones to validate whether your planned target is realistic relative to recent volatility. It is not designed to be a standalone “buy/sell” signal generator, but a statistical map around your entries. █  PRACTICAL EXAMPLES Example A – Bullish, Moderate Expansion Frequently Hit • Bullish Strength significantly higher than Bearish Strength. • The nearer upside level shows a strong historical hit rate. Interpretation: similar setups often produce at least a moderate push upward before failing. Use case: trade pullbacks in the direction of the bias, targeting the nearer upside projection as an initial take-profit. Example B – Bearish, Deeper Downside Often Reached • Bearish Strength clearly dominant. • Both the nearer and farther downside levels show decent probabilities. Interpretation: similar conditions historically saw follow-through to the downside. Use case: use rallies against the direction of the bias to position into shorts, planning partial exits around the first downside projection and runners toward the second. Example C – Neutral, Balanced Probabilities • Bullish and Bearish Strength scores are close. • Background tint is very light or absent. Interpretation: the market is statistically indecisive; expansions up or down are similarly likely. Use case: consider range trading tactics, mean-reversion ideas, or simply standing aside until a clearer skew develops. █  BEST PRACTICES • Use on liquid symbols and reasonable timeframes to avoid distorted ATR behavior. • Don’t overfit lookback length to a single instrument; test across markets. • Let the indicator provide context, not absolute certainty. • Always combine with proper risk management (position sizing, max loss per trade, etc.). • Be cautious with very small sample sizes (e.g., very short lookbacks on low-volume assets). █  LIMITATIONS & NOTES • All probabilities are based on historical behavior ; markets can change regime. • ATR distances are relative to recent volatility and may shrink/expand over time. • The script intentionally does not guarantee any direction or target; it only reports what has been most common in similar past situations. █  DISCLAIMER This tool is for educational and informational purposes only. It does not constitute financial advice or a guarantee of performance. Always do your own research, test on demo or historical data, and use appropriate risk management when trading live capital.
Indicateur Pine Script®
par Ray_Algo
Monthly DCA & Last 10 YearsThis Pine Script indicator simulates a Monthly Dollar Cost Averaging (DCA) strategy to help long-term investors visualize historical performance. Instead of complex timing, the script automatically executes a hypothetical fixed-dollar purchase (e.g., $100) on the first trading day of every month. It visually marks entry points with green "B" labels and plots a dynamic yellow line representing your Global Break-Even Price, allowing you to instantly see if the current price is above or below your average cost basis. To provide deep insight, it generates a detailed performance table in the bottom-right corner that breaks down metrics year-by-year—including total capital invested, shares/coins accumulated, and Profit/Loss percentage—along with a grand total summary of the entire investment period.
Indicateur Pine Script®
par oojeson
Weekly DCA & Yearly TableThis Pine Script indicator simulates a Weekly Dollar Cost Averaging (DCA) strategy directly on your TradingView chart. It automatically calculates a hypothetical portfolio where a fixed dollar amount (default $100) is invested every Friday (or the last trading day of the week) starting from a user-defined year. Visually, it marks every purchase with a green "B" label and plots a yellow line representing your Global Break-Even Price, allowing you to see exactly where your average entry lies relative to current price action. To track performance, it generates a detailed table in the bottom-right corner that breaks down your investment year-by-year, showing total capital invested, "coins" or shares accumulated, average buy price per year, current value, and profit/loss percentage, along with a grand total summary for the entire period.
Indicateur Pine Script®
par oojeson
Precision Trade Manager🔥Precision Trade Manager is a complete execution - planning and trade-management system for TradingView. It gives you full control over entry, stop-loss, position sizing, risk %, multi-TP planning (1–5), live tracking, realized profit, floating P&L, RR, and account % change — all directly on your chart. Because this tool has many features and workflows, the TradingView description is too short to explain everything properly. For that reason, please read the two PDF guides below before using the indicator. They explain exactly how the tool works, how to set it up correctly, and how to avoid mistakes when planning or managing trades. 📘 PDF 1 — Quick Start Guide (Read First) drive.google.com This guide explains the core workflow step-by-step: ✔ How to add the tool to the chart ✔ How to configure assets, contract size, account balance, and trading costs ✔ How to set Entry, SL, and your risk % ✔ How to set TP1–TP5 using RR mode or manual mode ✔ How partials work ✔ How LIVE TRACKING mode works ✔ How to reset and prepare your next trade This PDF teaches you the correct operational flow, so you understand how Precision Trade Manager behaves on the chart and why certain features exist. Reading this first prevents confusion and ensures you use the tool correctly. 📙 PDF 2 — Feature Overview & Visual Examples drive.google.com This PDF gives a full breakdown of everything the tool is capable of: ✔ Real-time dashboard metrics (pips, lots, RR, profit, % account) ✔ Partial TP tracking with green checkmarks and locked profit ✔ Floating vs. locked mode ✔ Pip/point/currency conversions across Gold, Forex, Indices, and Crypto ✔ Example charts for US30, EURUSD, and XAUUSD ✔ A direct comparison against the TradingView Long/Short tool This document is visual. It shows real examples of the tool in action so you understand what to expect once you’re using it live on your chart.  It is highly recommended to look through this PDF before your first trade. It will help you understand the dashboard, interpret every metric, and recognize the benefits versus the default TradingView tools. (The tool has many (!) tooltips, hower mouse over each. To get a clear description of what each function/button/box do)
Indicateur Pine Script®
par Menelauss
JRien Position Sizer (Real-Time) — ATR / LOD / Manual % $ RiskReal time position sizing based on real time potential entry price and calculations based on max risk. Usable on multi timeframes. You can also input manually your entry and stop based on your own discretion. I usually use a spreadsheet to calculate these things but wanted a way to see this in real time without needing to type out Entry, ATR, Stops, etc - TradingView has all this information already so why not just have it automatically update! 4 Stop Types: ATR Based Stop Based on the stocks ATR (mainly used on daily charts but options if you use other timeframe ATR) and uses a multiple of that ATR to base the plot. Many traders use less than 0.6ATR to base your stop as a rule and max entry 60% from LOD as another rule. Manual Percent Stop You're able to input your desired % stop and this will dynamically move with the current entry (last) price. Manual Price Stop You're able to input your desired price $ stop and this will dynamically move with the current entry (last) price. Low of Day (LOD) Stop Calculates your position based on if you were to have your stop at LOD and also calculates % of ATR away from LOD. Many swing traders use LOD for their stop so this moving dynamically with the current LOD and automatically calculating this is useful. Calculates: Entry (Last) ATR (14 | D) ATR Stop Price Manual Stop Percent Manual Stop Price Final Stop Risk per Share ($) Shares by Risk Shares by Stake Final Shares Final Position Cost Potential Stop Loss LOD Price Loss at LOD LOD Risk % of Account LOD dist as % of ATR Customizable table - can hide items, change color and size. Also an option to hide historical data - so plots start at market open! Let me know if any calculations are incorrect, good luck! - JRien
Indicateur Pine Script®
par JRien
Yong Fin Growth on ChartBridge the gap between Fundamental Analysis and Technical Price Action. Yong Fin Growth on Chart is the ultimate tool for "Hybrid Traders" and investors who need to visualize financial performance directly alongside price movements. Stop switching tabs between news sites and your charts—get the full context of why a stock is moving, right where it happens. This indicator overlays key financial metrics onto your chart, triggered precisely by Earnings Announcements. It allows you to instantly correlate price reactions with fundamental catalysts like Revenue Growth, Margin Expansion, or EPS surprises. Key Features: 🔹 1. Smart Earnings Trigger The indicator automatically detects Earnings Announcement dates and plots a data label on the exact bar. Stocks: Aligns with the specific earnings release date to show immediate price reaction. Funds/ETFs: Supports Fiscal Period End dates for broader instrument analysis. Includes a vertical line option to visually separate fiscal periods for easy backtesting. 🔹 2. 5 Fully Customizable Data Slots Configure up to 5 independent slots to track the metrics that matter to your strategy. Choose from a comprehensive list including: Growth: Revenue, Net Income, EBITDA, EPS. Efficiency: Gross Margin (GPM), Net Margin (NPM), ROE, ROA. Valuation: P/E, P/S, P/BV, EV/EBITDA, and Implied P/E. Health: Cash, Debt, Net Debt, Free Cash Flow (FCF). 🔹 3. Dynamic Growth Coloring & Thresholds Instantly identify trend changes with intelligent color coding. Comparison Modes: Toggle between YoY (Year-over-Year) or QoQ (Quarter-over-Quarter) growth logic. Custom Thresholds: Define your own standards. For example, set the label to turn Green only if growth exceeds +15%, or Red if it falls below -5%. This helps filter out noise and highlights significant fundamental shifts. 🔹 4. Flexible Period Selection Analyze data across different timeframes to suit your trading style: FQ: Fiscal Quarter (Short-term momentum) FY: Fiscal Year (Long-term trend) TTM: Trailing Twelve Months (Ideal for smooth Valuation ratios) FH: Fiscal Half (For securities reporting semi-annually) How to Use: Add to Chart: Apply the indicator to any stock symbol. Configure Slots: Go to settings and select the 5 metrics you want to monitor (e.g., Rev, Net Profit, GPM, NPM, P/E). Set Color Logic: Choose whether you want to color-code based on YoY or QoQ growth. Analyze: Look for the labels. Are margins expanding while price is consolidating? Did the price drop despite a "Green" label? (Market expectations vs. Reality) Use the vertical lines to see how the trend changed after previous earnings reports. "Stop guessing. Let the fundamentals guide your technical entries." Disclaimer: This tool is for educational and analytical purposes only. Past performance does not guarantee future results. Please conduct your own due diligence. --------------------------------- เชื่อมช่องว่างระหว่างการวิเคราะห์ปัจจัยพื้นฐาน (Fundamental) และกราฟราคาทางเทคนิค (Technical Price Action) Yong Fin Growth on Chart คือเครื่องมือที่ดีที่สุดสำหรับ "นักลงทุนสายผสม (Hybrid Traders)" และนักลงทุนที่ต้องการเห็นผลประกอบการทางการเงินซ้อนทับไปกับการเคลื่อนไหวของราคาโดยตรง หยุดเสียเวลาสลับหน้าจอไปมาระหว่างเว็บข่าวและกราฟของคุณ—รับรู้บริบททั้งหมดว่าทำไมหุ้นถึงวิ่ง ได้ทันทีบนหน้าจอนี้ อินดิเคเตอร์นี้จะวางค่าทางการเงินที่สำคัญลงบนกราฟ โดยถูกกระตุ้น (Trigger) อย่างแม่นยำด้วย วันประกาศงบ (Earnings Announcements) ช่วยให้คุณเชื่อมโยงปฏิกิริยาของราคา เข้ากับปัจจัยพื้นฐานที่เป็นตัวขับเคลื่อนได้ทันที เช่น การเติบโตของรายได้, การขยายตัวของอัตรากำไร (Margin), หรือกำไรต่อหุ้น (EPS) ที่เซอร์ไพรส์ตลาด ฟีเจอร์หลัก: 🔹 1. Smart Earnings Trigger (ตัวระบุวันงบออกอัจฉริยะ) อินดิเคเตอร์จะตรวจจับวันประกาศงบอัตโนมัติและพลอตป้ายข้อมูล (Label) ลงบนแท่งเทียนนั้นเป๊ะๆ หุ้นรายตัว: ตรงกับวันประกาศผลประกอบการจริง เพื่อดูปฏิกิริยาราคาทันที กองทุน/ETFs: รองรับวันปิดรอบบัญชี (Fiscal Period End) สำหรับการวิเคราะห์สินทรัพย์ประเภทอื่นๆ มีออปชั่นเส้นแนวตั้ง เพื่อแบ่งช่วงเวลางบแต่ละรอบ ให้ดูย้อนหลัง (Backtest) ได้ง่าย 🔹 2. 5 Fully Customizable Data Slots (ช่องข้อมูลปรับแต่งได้ 5 ช่อง) ตั้งค่าได้ถึง 5 ช่องอิสระ เพื่อติดตามตัวเลขที่สำคัญต่อกลยุทธ์ของคุณ เลือกจากรายการที่ครอบคลุม เช่น: การเติบโต (Growth): Revenue, Net Income, EBITDA, EPS ประสิทธิภาพ (Efficiency): Gross Margin (GPM), Net Margin (NPM), ROE, ROA มูลค่า (Valuation): P/E, P/S, P/BV, EV/EBITDA, และ Implied P/E (ค่าพิเศษที่คุณใส่สูตรไว้) สุขภาพการเงิน (Health): Cash, Debt, Net Debt, Free Cash Flow (FCF) 🔹 3. Dynamic Growth Coloring & Thresholds (ระบบสีและการตั้งเกณฑ์) ระบุการเปลี่ยนเทรนด์ได้ทันทีด้วยรหัสสีอัจฉริยะ โหมดเปรียบเทียบ: เลือกสลับได้ระหว่าง YoY (เทียบปีก่อน) หรือ QoQ (เทียบไตรมาสก่อน) เกณฑ์ที่กำหนดเอง (Custom Thresholds): กำหนดมาตรฐานของคุณเอง ตัวอย่างเช่น ตั้งค่าให้ป้ายเป็น สีเขียว เฉพาะเมื่อโตเกิน +15% หรือเป็น สีแดง เมื่อต่ำกว่า -5% สิ่งนี้ช่วยกรอง Noise และเน้นเฉพาะการเปลี่ยนแปลงพื้นฐานที่มีนัยสำคัญ 🔹 4. Flexible Period Selection (เลือกช่วงเวลาได้ยืดหยุ่น) วิเคราะห์ข้อมูลในกรอบเวลาที่แตกต่างกันตามสไตล์การเทรด: FQ: รายไตรมาส (Fiscal Quarter) - ดูโมเมนตัมระยะสั้น FY: รายปี (Fiscal Year) - ดูเทรนด์ระยะยาว TTM: 12 เดือนย้อนหลัง (Trailing Twelve Months) - เหมาะสำหรับดูค่า Valuation Ratio ให้สมูท FH: ครึ่งปี (Fiscal Half) - สำหรับหลักทรัพย์ที่ส่งงบแบบครึ่งปี วิธีใช้งาน: Add to Chart: ใส่อินดิเคเตอร์ลงในกราฟหุ้นตัวใดก็ได้ Configure Slots: ไปที่การตั้งค่าและเลือก 5 ค่าที่คุณต้องการเฝ้าดู (เช่น Rev, Net Profit, GPM, NPM, P/E) Set Color Logic: เลือกตรรกะสี ว่าจะให้อิงตามการเติบโตแบบ YoY หรือ QoQ Analyze: สังเกตป้ายข้อมูล อัตรากำไร (Margin) ขยายตัวในขณะที่ราคากำลังพักตัวอยู่หรือเปล่า? ราคาดิ่งลงทั้งๆ ที่ป้ายเป็น "สีเขียว" หรือไม่? (ความคาดหวังตลาด vs ความจริง) ใช้เส้นแนวตั้งเพื่อดูว่าเทรนด์เปลี่ยนไปอย่างไรหลังจากงบออกในรอบก่อนๆ "เลิกเดา ให้ปัจจัยพื้นฐานนำทางจุดเข้าซื้อทางเทคนิคของคุณ" คำเตือน: เครื่องมือนี้มีไว้เพื่อการศึกษาและวิเคราะห์ข้อมูลเท่านั้น ผลการดำเนินงานในอดีตไม่การันตีผลลัพธ์ในอนาคต โปรดศึกษาข้อมูลด้วยตนเอง
Indicateur Pine Script®
par sweetjeab
ASR / ADR by Vanya_zvwey 🇺🇦 Детальний Опис та Інструкція Користувача Індикатора ASR/ADR Grid Цей індикатор є інструментом для візуалізації волатильності, який використовує історичні дані для прогнозування потенційних цінових рівнів розширення та корекції. Він будує сітки на основі середнього діапазону сесії (ASR) та середнього денного діапазону (ADR). 🔑 Ключові Концепції ASR (Average Session Range): Середній діапазон High-Low, який зазвичай досягається протягом обраної торгової сесії (Азія, Лондон, Нью-Йорк) за останні N днів. ADR (Average Daily Range): Середній діапазон High-Low, досягнутий протягом цілого 24-годинного торгового дня за останні N днів. Синхронізація Часового Поясу: На відміну від багатьох індикаторів, цей індикатор залежить від введеного саме вами Session Timezone. Він гарантує, що ваші сесії та денні відкриття розраховуються правильно, незалежно від часового поясу вашого графіку. ⚙️ Посібник із Налаштування (Вхідні Параметри) Налаштування згруповані для зручності: 1. General Settings (Загальні Налаштування) Session Timezone: Виберіть часовий пояс, який використовуватиметься як єдиний орієнтир для всіх часів Start/End. Це може бути "UTC+2", "America/New_York" тощо. Lookback Period (Days): Кількість днів, що використовується для обчислення середнього значення ASR та ADR. Grid Direction: "Up": Сітки будуються від поточного Low сесії/дня і розширюються вгору. "Down": Сітки будуються від поточного High сесії/дня і розширюються вниз. Grid Step %: Крок для внутрішніх ліній сітки (наприклад, 25% дасть лінії 25%, 50%, 75%). 2. Session Settings (Asia, London, New York) Show : Увімкнення/вимкнення відображення сітки для конкретної сесії. Start Time (HH:MM) / End Time (HH:MM): Час початку та кінця сесії, який відповідає вибраному вами Session Timezone. 3. ADR (Daily) Grid (Сітка Денного Діапазону) Show ADR Grid: Увімкнення/вимкнення сітки, що охоплює весь день. ADR Anchor: Визначає, від якої ціни починається відлік ADR (0%): "Day Open": Як якір використовується ціна відкриття дня (00:00 у вашому часовому поясі). "Day Low/High": Як якір використовується поточний денний екстремум (Low, якщо напрямок "Up", або High, якщо напрямок "Down"). 📈 Використання та Інтерпретація Сітка складається з рівнів від 0% до 100%, які візуалізують, наскільки далеко ціна просунулася щодо середнього історичного діапазону. Структура Сітки 0% Рівень (Границя): Це якірна точка (High або Low) поточної сесії/дня, з якої починається розрахунок. Лінія суцільна. 100% Рівень (Границя): Це ціновий рівень, що дорівнює 0% Якір + ASR/ADR. Це статистично очікуваний максимальний рух. Лінія суцільна. Внутрішні Рівні (Grid Step): Пунктирні лінії (25%, 50%, 75% тощо), які показують проміжні цілі або зони корекції. Торгова Інтерпретація Рух до 50%: Ціна досягла половини середнього діапазону. Досягнення 100%: Ціна досягла "середнього" діапазону волатильності. Це часто служить хорошою ціллю для фіксації прибутку або точкою, де можна очікувати корекції/розвороту, оскільки рух вже відповідає історичним нормам. Рух за межі 100% (Екстремум): Рух, що перевищує 100% ASR/ADR, вважається нетипово сильним або екстремальним. 🇬🇧 Detailed Description and User Guide for the ASR/ADR Grid Indicator This indicator is a robust volatility visualization tool designed to project potential price extension and retracement levels based on historical data. It constructs price grids using the Average Session Range (ASR) and the Average Daily Range (ADR). 🔑 Key Concepts ASR (Average Session Range): The average High-to-Low range typically achieved during a selected trading session (Asia, London, New York) over the last N days ADR (Average Daily Range): The average High-to-Low range achieved during the entire 24-hour trading day over the last N days. Timezone Synchronization: This is critical. The indicator relies on a single Session Timezone input to correctly calculate all session start/end times and daily opens, ensuring accuracy regardless of your charting platform's native exchange time. ⚙️ Setup Guide (Input Parameters) The settings are organized into logical groups: 1. General Settings Session Timezone: Select the timezone that will serve as the single reference point for all Start/End times below (e.g., "UTC+2", "America/New_York"). Lookback Period (Days): The number of preceding days used to compute the average ASR and ADR values. Grid Direction: "Up": The grids are anchored at the current session/day's Low and extend upwards. "Down": The grids are anchored at the current session/day's High and extend downwards. Grid Step %: The percentage increment for the inner grid lines (e.g., 25% will plot lines at 25%, 50%, 75%). 2. Session Settings (Asia, London, New York) Show : Toggles the visibility of the grid for that specific session. Start Time (HH:MM) / End Time (HH:MM): The start and end times for the session, which must correspond to your chosen Session Timezone. The script supports overnight sessions (e.g., starting at 22:00 and ending at 02:00 the next day). 3. ADR (Daily) Grid Show ADR Grid: Toggles the visibility of the grid covering the entire trading day. ADR Anchor: Determines the price point from which the ADR (0%) is measured: "Day Open": The anchor is the day's opening price (at 00:00 in your chosen timezone). "Day Low/High": The anchor is the current day's extreme (Low if Direction is "Up", or High if Direction is "Down"). 📈 Usage and Interpretation The grid levels, ranging from 0% to 100%, visualize how far the price has traveled relative to the average historical volatility for that specific period. Grid Structure 0% Level (Border): This is the anchor point (High or Low) of the current session/day, serving as the starting reference for the calculation. This line is solid. 100% Level (Border): This is the price level equal to the 0% Anchor + ASR/ADR. It represents the statistically expected average maximum move. This line is also solid. Inner Levels (Grid Step): These dotted lines (25%, 50%, 75%, etc.) serve as intermediate targets or potential zones for pullback. Trading Interpretation Reaching 50%: The price has achieved half of the average range. Reaching 100%: The price has fulfilled the "average" volatility range. This level often acts as an excellent profit target or a point where you might expect correction or reversal, as the move has met historical norms. Moving Beyond 100% (Extreme): A price move that exceeds 100% ASR/ADR is considered unusually strong or extreme volatility.
Indicateur Pine Script®
par Vanya_zvwey
Nq/ES daily CME risk intervalNQ/ES Daily CME Range Indicator: Description and Usage What the Indicator Does Reverse engineering the risk interval for CME (Chicago Mercantile Exchange) products based on margin requirements involves understanding the relationship between margin requirements, volatility, and the risk interval (price movement assumed for margin calculation) The CME uses a methodology called SPAN (Standard Portfolio Analysis of Risk) to calculate margins. At a high level, the initial margin is derived from: Initial Margin = Risk Interval × Contract Size × Volatility Adjustment Factor This indicator creates daily risk intervals for NQ/ES futures contracts based on volatility measurements given the fact that the CME volatility adjustment factor is not public. The indicator draws horizontal lines on your chart that represent expected price movement ranges based on: Your specified maintenance margin requirements Current and historical volatility calculations Contract lifecycle and rollover detection The indicator automatically detects when futures contracts roll over to a new contract month, dynamically adjusts volatility calculations throughout the contract lifecycle, and displays the intervals as horizontal lines that extend from the previous day's close. These intervals give you a visual representation of likely price ranges for the current trading session. How to Use the Indicator To use this indicator effectively: Add it to your NQ or ES futures chart (works on continuous contracts or individual contract months) Set your maintenance margin amount in the risk interval settings (product margins page from the CME website. I tend to use the maintenance short margin) The indicator will automatically draw horizontal lines at 18:00 ET each day Use these lines as potential profit targets in volatile days Monitor the information table for details on volatility, risk interval size, and contract lifecycle The indicator helps you visualize expected price movement based on market volatility and your specified risk parameters, allowing you to make more informed trading decisions about position sizing and potential profit targets. Additionally, when the market moves on news/events you will notice it will most often move exactly the risk interval value. Why These Settings Work as Defaults First Month Vol Period (30): The first 30 days after contract rollover typically have different volatility characteristics. This setting ensures accurate volatility measurements during this period when contract behaviour may be less stable. Enable Volatility Floor (Checked): This prevents volatility from falling below historical levels, ensuring your risk intervals don't become too narrow during artificially calm periods. Research shows that protracted low volatility can lead to a build-up of leverage and risk, making the system vulnerable. Volatility Floor % (0.7): The 0.7 setting works better than higher values because it better accounts for how equity volatility behaves at lower bounds. It allows for natural mean reversion while still providing protection against underestimating risk during low volatility periods. Transition Period (30 days): This creates a smooth transition from the first month volatility period to the actual days since rollover calculation, preventing abrupt changes in your risk intervals. Annual Trading Days (252): 252 is the standard number of trading days in a year used in financial calculations. This value is used for properly annualizing volatility measurements. Long-Term Volatility Period (504): A 504-day period (approximately 2 years of trading days) provides several advantages over the standard 252-day setting. It better captures full market cycles including both bull and bear markets, provides more stable volatility estimates across regime changes, and results in more reliable risk intervals. Research shows this longer timeframe produces better volatility forecasts for futures markets, as it captures a more comprehensive range of market conditions while smoothing out anomalous periods. The combination of these settings—particularly the 504-day long-term period with the 0.7 volatility floor—creates more stable and reliable risk intervals that adapt appropriately to changing market conditions without becoming overly sensitive to short-term fluctuations or too sluggish during genuine market shifts.
Indicateur Pine Script®
par DrodzCip
Pair Correlation Master [Macro]The Main Idea Trading represents a constant battle between Systemic Flows (the whole market moving together) and Idiosyncratic Moves (one specific asset moving on its own). This tool allows you to monitor a "basket" of 4 assets simultaneously (e.g., the major USD pairs). It answers the most important question in forex and multi-asset trading: "Is this move happening because the Dollar is weak, or because the Euro is strong?" It separates the "Signal" (the unique move) from the "Noise" (the herd movement). 1. The Chart Lines: The "Race" (Macro Trend) Think of the lines on your chart as a long-distance race. They visualize the performance of all 4 assets over the last 200 candles (adjustable). - Bunched Together: If all lines are moving in the same direction, the market is highly correlated. (e.g., "The Dollar is selling off everywhere"). - Fanning Out: If the lines are spreading apart, specific currencies are outperforming others. - The Zero Line: This is the starting line. --- Above 0: The pair is in a macro uptrend. --- Below 0: The pair is in a macro downtrend. 2. The Dashboard: The "Health Check" (Micro Data) The table in the top right gives you the immediate statistics for right now. - A. The Z-Score (The Rubber Band) This measures how "stretched" price is compared to its normal behavior. - White (< 2.0): Normal trading activity. - Orange (> 2.0): The price is stretching. Warning sign. - Red (> 3.0): Critical Stretch. The rubber band is pulled to its limit. Statistically, a pullback or pause is highly likely. B. The Star (★) The script automatically calculates the average behavior of your group. If one asset is behaving completely differently from the rest, it marks it with a Star (★). - Example: EURUSD, GBPUSD, and NZDUSD are flat, but AUDUSD is rallying hard. AUDUSD gets the ★. This is where the unique opportunity lies. 🎯 Best Uses: 4H & Daily Timeframes This indicator is tuned for "Macro" analysis. It works best on the "4-Hour" and "Daily" charts to filter out intraday noise and capture swing trading moves. - Strategy 1: The "Rubber Band" Snap (Mean Reversion) - Setup: Look for a Z-Score in the RED (> 3.0) on the Daily timeframe. - Action: This indicates an unsustainable move. Look for reversals or exhaustion patterns to trade against the trend back toward the mean. - Strategy 2: The "Lone Wolf" (Trend Following) - Setup: Look for the asset with the Star (★). - Action: If the whole basket is flat (Balanced), but the Star asset is breaking out, that creates a high-quality trend trade because that specific currency has its own catalyst (News/Earnings). - Strategy 3: Systemic Flows (Basket Trading) - Setup: The dashboard footer says "⚠️ SYSTEMIC MOVE." - Action: This means everything is moving together (e.g., a massive USD crash). Don't look for unique setups; just join the trend on the strongest pair. Dashboard Footer Key The bottom of the table summarizes the current state of the market for you: - Balanced / Rangebound: The market is quiet. Good for range trading. - Focus: : Trade this specific pair. It is moving independently. - Systemic Move: The whole basket is moving violently. Trade the momentum. p.s. Suggestion - apply and use on the chart rather than an oscillator.
Indicateur Pine Script®
par siLve_R88
NeuralFlow Forecast Engine™ | SPY Weekly NeuralFlow Forecast Engine™ | SPY Weekly AI-adaptive market equilibrium & expansion mapping. NeuralFlow doesn’t forecast by direction — it forecasts by where markets prefer to stabilize. NeuralFlow Forecast Engine™ is a proprietary Artificial Intelligence framework trained to identify where price is statistically inclined to rebalance and where expansion zones historically exhaust rather than extend. What the Bands Represent Band Layer Meaning AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment Outer Zones (green / red) Expansion limits where continuation historically decays Extreme Zones (top/bottom) Rare deviation envelope where auction completion is statistically favored NeuralFlow operates on proprietary, institution-grade Artificial Intelligence models trained specifically to map statistical rebalancing behavior, not trader predictions or sentiment. No discretionary drawing. No correlations. No lagging overlays. This engine updates only when underlying structure changes — not when candles fluctuate intraday. ⚠ Risk & Use Notice NeuralFlow Forecast Engine™ provides AI-derived structural zones, not trade signals or financial advice. Markets can behave outside modeled distributions, especially during macro catalysts, thin liquidity, or surprise volatility events. By loading or using this indicator, the user acknowledges full responsibility for any trades or outcomes based on its interpretation. Educational & analytical use only. Not financial advice.
Indicateur Pine Script®
par NeuralMarkets
NQ H1 Stats+NQ H1 Stats - Detailed Prob & Excursion Indicator Overview NQ H1 Stats - Detailed Prob & Excursion is a specialized statistical overlay indicator for TradingView, tailored for the Nasdaq futures (NQ) on a 1-hour timeframe. It provides real-time insights into the probability of price returning to the hourly open after sweeping the previous hour's high (PHH) or low (PHL), based on historical data segmented by hour and 20-minute intervals. The indicator visualizes these sweeps with lines, labels, circles, background fills, and "excursion zones" (also called "Magic Boxes") that highlight median/mean extensions post-sweep, along with percentile lines (75th, 90th, 95th) for gauging potential "pain" or extreme moves. This tool is designed for intraday traders focusing on liquidity sweeps, or mean-reversion setups, helping to quantify edge based on empirical probabilities and volatility excursions. The data is hardcoded from extensive historical analysis of NQ behavior (e.g., probabilities range from ~7% to ~91%, with sample sizes up to 2000+ per segment), making it a backtested reference rather than dynamic learning. It emphasizes visual clarity during active hours, with options to filter for Regular Trading Hours (RTH: 09:00–15:59 ET) or high-probability (>70%) events only. Note: This is an educational tool for analyzing market structure; it does not predict future performance or provide trading signals/advice. Past data does not guarantee future results, and users should backtest on current conditions (as of December 2025 data availability) and use at their own risk, in compliance with TradingView's house rules. Key Features • Sweep Detection & Probability Labels: Identifies when price breaks PHH (upside) or PHL (downside), displaying a centered label with probability of returning to the hourly open, sample size (N), time of sweep, and a checkmark (✅) if the open is retested post-sweep. • Visual Lines & Markers: Draws hourly open (h.o.), PHH, and PHL lines with customizable styles/colors; adds small circles on sweep bars for quick spotting. • Breakout→Open Background Fill: Shaded zone from sweep bar until price returns to open, visualizing extension duration and retracement. • Excursion (Pain) Zone - "Magic Box": Post-sweep box showing median/mean extension percentages, colored dynamically by probability (green high, orange mid, red low); includes dashed lines for 75th/90th/95th percentiles to mark statistical extremes. • Time-Segmented Data: Probabilities and excursions vary by hour (0-23) and 20-min segments (0-19 min: _0, 20-39: _1, 40-59: _2), capturing intraday nuances (e.g., higher probs in early/late hours). • Filters for Focus: RTH-only mode hides non-session elements; high-prob-only shows >70% events to reduce noise. • Alerts: Triggers on PHH/PHL sweeps with messages for chart checks. How It Works • Data Foundation: Uses pre-computed maps for probabilities (prob_high_taken/prob_low_taken), sample sizes, and excursions (mean, median, p75/p90/p95 as percentages of open). Data is initialized on the first bar via f_init_high_data() and f_init_low_data(), covering 24 hours with 3 segments each (e.g., key "9_1" for 09:20-09:39). Probabilities represent historical likelihood of price returning to open after sweep; excursions quantify average/rare extensions (e.g., 0.156% mean = 0.156% of open price). • Period Detection: On new 1H bars (new_period_bar), resets visuals, draws lines for open/PHH/PHL extending 1 hour forward, and labels if enabled. Uses request.security on standard ticker for real OHLC, bypassing chart transformations (e.g., Heikin Ashi). • Sweep Logic: On each bar, checks if real high > PHH or real low < PHL. If so, fetches segment-specific data (hour + floor(minute/20)), displays probability label centered mid-hour. Skips if filtered (RTH-only or <70% prob). • Excursion Visualization: If enabled, draws "Magic Box" from 1-min to 58-min into the hour, bounded by mean/median levels (top/bottom adjusted for high/low sweep). Adds percentile lines with labels (e.g., "75%") at right end. Box color reflects prob strength for quick bias assessment. • Retest Check: Monitors for open retest post-sweep (high/low cross open, or gap scenarios from prev bar). Adds ✅ to label if hit on subsequent bars (skips sweep bar to avoid false positives). Stops background fill on retest or at 58-min mark. • Background Fill: Activates on sweep, shades until retest, using user color. • Cleanup & Performance: Manages labels in arrays, clears on new periods; no excess drawing beyond max counts (500 lines/labels/boxes). This setup "meshes" statistical backtesting with real-time visualization: Hardcoded data provides empirical probabilities/excursions (reducing subjectivity in breakouts), while dynamic elements (lines, fills, boxes) overlay structure on the chart. It helps traders assess if a sweep is "high-edge" (e.g., >70% prob of revert) or likely to run (low prob, high excursion), blending historical context with current price action for informed decisions. Settings and Customization Inputs are grouped for ease: 1. Settings: o Show RTH Only (9:00-15:59): Restricts to main session (default: false; tooltip: for RTH-focused stats). o Show High Prob Only (>70%): Filters low-prob sweeps visually (default: false; tooltip: highlights confidence). 2. Visuals: o Show Line Labels: Toggle "h.o."/ "phh"/ "phl" (default: true). o Period Open Line Color: Gray 50% (default). o Previous High/Low Line Colors: Gray 100% (default). o Open Line Style/Width: Dotted/1 (default; options: Solid/Dotted/Dashed). 3. Breakout→Open Background: o Show Breakout→Open Background: Toggle fill (default: true). o Fill Color: Teal 85% (default). 4. Breakout Circles: o Show Breakout Circles: Toggle (default: true). o PHH/PHL Break Circle Colors: White 20% (default). 5. Info Label Style: o Text Size: Small (default; options: Auto/Tiny/Normal/Large/Huge). o Label Text Color: White (default). o Low/Mid/High Probability Colors: Red 20%/Orange 20%/Green 20% (default). 6. Excursion (Pain) Zone: o Show Excursion Zone: Toggle Magic Box (default: true). o Excursion Box Color: Gray 75% (default; dynamic overrides). o 75th/90th/95th Percentile Lines: Orange 30%/Red 30%/Dark Red 100% (default). No additional tables/plots; all elements are lines/labels/boxes for overlay focus. Usage Tips • Breakout Trading: Watch for sweeps with high prob (>70%, green label) as potential fades back to open; low prob (red) may signal runs—use excursion box for targets (e.g., exit at 90th percentile for extremes). • Time Awareness: Probabilities peak in open hours (e.g., 09:00 ~90%+ for initial sweeps) and drop in off-hours; segments capture momentum shifts (e.g., _2 often lower prob). • RTH Focus: Enable for cleaner stats during high-liquidity sessions; disable for 24/7 view. • Visual Filtering: Use high-prob-only in volatile conditions to avoid noise; combine with volume or other indicators for confirmation. • Alerts Integration: Set TradingView alerts on sweeps; check label for prob/N before acting. • Chart Setup: Best on 1H or lower NQ charts; adjust text size for readability on mobiles. • Backtesting: Manually review historical sweeps against data maps to validate; update hardcoded values if new data emerges (as of 2025). Limitations • Fixed Data: Hardcoded stats may not reflect recent market changes (e.g., post-2025 volatility shifts); not adaptive. • Reactive Only: Detects sweeps after they occur; no predictive signals. • Timeframe Specific: Locked to 1H logic; may not translate to other assets/TFs without recoding data. • Visual Clutter: On busy charts, labels/boxes may overlap—toggle off selectively. • No Live Stats: Sample sizes are historical; real-time N/prob not updated. • Gaps & Extremes: Handles gaps in retest logic, but rare events (e.g., news) may exceed 95th percentile. Disclaimer This indicator is for informational and educational purposes only. Trading involves significant risk of loss and is not suitable for all investors. The hardcoded data represents past NQ performance and does not guarantee future outcomes. No claims of profitability are made—results depend on market conditions, user strategy, and risk management. Consult a financial advisor before trading, and backtest extensively. Abiding by TradingView rules, this tool provides no investment recommendations.
Indicateur Pine Script®
par tncylyv
11
TMT Support & Resistance - Hitesh NimjeTMT Support & Resistance - HiteshNimje Indicator Overview The TMT Support & Resistance indicator is a professional pivot point analysis tool that automatically calculates and displays key support and resistance levels across multiple timeframe perspectives. It offers various pivot point calculation methods and provides customizable visual elements for comprehensive technical analysis. Key Features Pivot Point Calculation Methods 1. Traditional Pivot Points Standard pivot point calculation using Previous Period High, Low, and Close Creates P, S1, S2, S3, R1, R2, R3 levels Most widely used method for day trading and swing trading 2. Fibonacci Pivot Points Incorporates Fibonacci retracement levels (38.2%, 61.8%) Uses traditional pivot as base with Fibonacci extensions Popular among traders following Fibonacci analysis 3. Woodie Pivot Points Alternative calculation method with different weighting Emphasizes opening price in calculations Preferred by some intraday traders 4. Classic Pivot Points Similar to traditional but with different level calculations Balanced approach to support/resistance identification Timeframe Options * Auto: Automatically selects optimal timeframe based on chart timeframe Intraday ≤15min → Daily Intraday >15min → Weekly Daily → Monthly * Fixed Timeframes: Daily, Weekly, Monthly, Quarterly, Yearly * Extended Periods: Biyearly, Triyearly, Quinquennially, Decennially Level Management System Support Levels (Blue Colored) * TMT Support 1 (S1): First major support level * TMT Support 2 (S2): Second support level * TMT Support 3 (S3): Third support level * TMT Support 4 (S4): Fourth support level (Traditional/Camarilla only) * TMT Support 5 (S5): Fifth support level (Traditional/Camarilla only) Resistance Levels (Black Colored) * TMT Resistance 1 (R1): First major resistance level * TMT Resistance 2 (R2): Second resistance level * TMT Resistance 3 (R3): Third resistance level * TMT Resistance 4 (R4): Fourth resistance level (Traditional/Camarilla only) * TMT Resistance 5 (R5): Fifth resistance level (Traditional/Camarilla only) Central Pivot (Orange Colored) * Pivot Point (P): Central price level used for S/R calculations Customization Options Display Settings * Show Labels: Toggle pivot level identification labels * Show Prices: Display actual price values next to levels * Labels Position: Choose between Left or Right positioning * Line Width: Adjustable thickness (1-100 pixels) for all pivot lines Data Source Options * Use Daily-based Values: ON: Uses official daily OHLC values for calculations OFF: Uses intraday data with extended hours consideration * Number of Pivots Back: Historical pivot display (1-200 levels) Color Customization * Individual color selection for each support/resistance level * Default colors: Supports (Blue), Resistances (Black), Pivot (Orange) * Full color picker integration for all levels Technical Features Smart Display Logic * Intraday Charts: Automatically uses daily-based calculations when intraday data is insufficient * Multi-timeframe Compatibility: Adapts to chart timeframe and pivot timeframe differences * Extended Hours Handling: Incorporates extended trading hours when enabled on chart Dynamic Level Management * Real-time Updates: Levels update as new data becomes available * Historical Tracking: Maintains configurable number of historical pivot periods * Automatic Cleanup: Removes old pivot graphics when limit is exceeded Visual Elements * Time-based Lines: Lines extend across full time periods for clear visual reference * Price Labels: Contextual information showing level names and prices * Professional Styling: Clean, professional appearance suitable for any trading style Use Cases Day Trading Applications * Session Management: Use daily pivots for intraday trading decisions * Range Trading: Camarilla levels excellent for range-bound strategies * Breakout Confirmation: Use pivot breaks as entry/exit signals Swing Trading Applications * Weekly/Monthly Pivots: Identify key levels for multi-day positions * Trend Analysis: Track how price interacts with higher timeframe pivots * Risk Management: Set stop-losses and take-profits at pivot levels Long-term Trading Applications * Quarterly/Yearly Pivots: Major institutional levels for position trading * Support/Resistance Maps: Create comprehensive price level roadmap * Market Structure Analysis: Understand price behavior around key levels Benefits for Traders Professional Analysis * Multiple Methodologies: Choose pivot calculation that matches trading style * Timeframe Flexibility: Analyze from multiple temporal perspectives * Historical Context: See how price has historically responded to pivot levels Risk Management * Level Identification: Clear visual reference for stop-loss placement * Position Sizing: Use pivot distances for risk/reward calculations * Entry Timing: Identify optimal entry points near support/resistance Market Understanding * Psychological Levels: Understand where market participants react * Volume Confirmation: Cross-reference pivot levels with volume data * Trend Continuation: Identify pivot levels that may continue or reverse trends Technical Specifications * Pine Script Version: 6 * Overlay: True (displays on price chart) * Performance: Optimized for up to 200 historical pivot periods * Compatibility: All trading instruments and timeframes * Data Source: OHLC-based pivot calculations with security function integration Trading Strategy Integration 1. Support/Resistance Trading: Enter trades at S1/R1 with stops beyond S2/R2 2. Pivot Bounce Strategy: Trade bounces from established pivot levels 3. Range Trading: Use Camarilla pivots for tight range strategies 4. Breakout Strategy: Enter breakouts with confirmation from pivot breaks 5. Multiple Timeframe Analysis: Combine daily, weekly, and monthly pivots for comprehensive analysis This indicator serves as a comprehensive support and resistance analysis tool, providing traders with institutional-quality pivot point analysis across multiple calculation methods and timeframes. It combines professional-grade pivot point calculations with intuitive customization options, making it suitable for traders of all experience levels and trading styles. TRADING DISCLAIMER RISK WARNING Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should carefully consider whether trading is suitable for you in light of your circumstances, knowledge, and financial resources. NO FINANCIAL ADVICE This indicator is provided for educational and informational purposes only. It does not constitute: * Financial advice or investment recommendations * Buy/sell signals or trading signals * Professional investment advice * Legal, tax, or accounting guidance LIMITATIONS AND DISCLAIMERS Technical Analysis Limitations * Pivot points are mathematical calculations based on historical price data * No guarantee of accuracy of price levels or calculations * Markets can and do behave irrationally for extended periods * Past performance does not guarantee future results * Technical analysis should be used in conjunction with fundamental analysis Data and Calculation Disclaimers * Calculations are based on available price data at the time of calculation * Data quality and availability may affect accuracy * Pivot levels may differ when calculated on different timeframes * Gaps and irregular market conditions may cause level failures * Extended hours trading may affect intraday pivot calculations Market Risks * Extreme market volatility can invalidate all technical levels * News events, economic announcements, and market manipulation can cause gaps * Liquidity issues may prevent execution at calculated levels * Currency fluctuations, inflation, and interest rate changes affect all levels * Black swan events and market crashes cannot be predicted by technical analysis USER RESPONSIBILITIES Due Diligence * You are solely responsible for your trading decisions * Conduct your own research before using this indicator * Verify calculations with multiple sources before trading * Consider multiple timeframes and confirm levels with other technical tools * Never rely solely on one indicator for trading decisions Risk Management * Always use proper risk management and position sizing * Set appropriate stop-losses for all positions * Never risk more than you can afford to lose * Consider the inherent risks of leverage and margin trading * Diversify your portfolio and trading strategies Professional Consultation * Consult with qualified financial advisors before trading * Consider your tax obligations and legal requirements * Understand the regulations in your jurisdiction * Seek professional advice for complex trading strategies LIMITATION OF LIABILITY Indemnification The creator and distributor of this indicator shall not be liable for: * Any trading losses, whether direct or indirect * Inaccurate or delayed price data * System failures or technical malfunctions * Loss of data or profits * Interruption of service or connectivity issues No Warranty This indicator is provided "as is" without warranties of any kind: * No guarantee of accuracy or completeness * No warranty of uninterrupted or error-free operation * No warranty of merchantability or fitness for a particular purpose * The software may contain bugs or errors Maximum Liability In no event shall the liability exceed the purchase price (if any) paid for this indicator. This limitation applies regardless of the theory of liability, whether contract, tort, negligence, or otherwise. REGULATORY COMPLIANCE Jurisdiction-Specific Risks * Regulations vary by country and region * Some jurisdictions prohibit or restrict certain trading strategies * Tax implications differ based on your location and trading frequency * Commodity futures and options trading may have additional requirements * Currency trading may be regulated differently than stock trading Professional Trading * If you are a professional trader, ensure compliance with all applicable regulations * Adhere to fiduciary duties and best execution requirements * Maintain required records and reporting * Follow market abuse regulations and insider trading laws TECHNICAL SPECIFICATIONS Data Sources * Calculations based on TradingView data feeds * Data accuracy depends on broker and exchange reporting * Historical data may be subject to adjustments and corrections * Real-time data may have delays depending on data providers Software Limitations * Internet connectivity required for proper operation * Software updates may change calculations or functionality * TradingView platform dependencies may affect performance * Third-party integrations may introduce additional risks MONEY MANAGEMENT RECOMMENDATIONS Conservative Approach * Risk only 1-2% of capital per trade * Use position sizing based on volatility * Maintain adequate cash reserves * Avoid over-leveraging accounts Portfolio Management * Diversify across multiple strategies * Don't put all capital into one approach * Regularly review and adjust trading strategies * Maintain detailed trading records FINAL LEGAL NOTICES Acceptance of Terms * By using this indicator, you acknowledge that you have read and understood this disclaimer * You agree to assume all risks associated with trading * You confirm that you are legally permitted to trade in your jurisdiction Updates and Changes * This disclaimer may be updated without notice * Continued use constitutes acceptance of any changes * It is your responsibility to stay informed of updates Governing Law * This disclaimer shall be governed by the laws of the jurisdiction where the indicator was created * Any disputes shall be resolved in the appropriate courts * Severability clause: If any part of this disclaimer is invalid, the remainder remains enforceable REMEMBER: THERE ARE NO GUARANTEES IN TRADING. THE MAJORITY OF RETAIL TRADERS LOSE MONEY. TRADE AT YOUR OWN RISK. Contact Information: * Creator: Hitesh_Nimje * Phone: Contact@8087192915 * Source: Thought Magic Trading © HiteshNimje - All Rights Reserved This disclaimer should be prominently displayed whenever the indicator is shared, sold, or distributed to ensure users are fully aware of the risks and limitations involved in trading.
Indicateur Pine Script®
par HiteshNimje_2026
Self-Organized Criticality - Avalanche DistributionHere's all you need to know: This indicator applies Self-Organized Criticality (SOC) theory to financial markets, measuring the power-law exponent (alpha) of price drawdown distributions. It identifies whether markets are in stable Gaussian regimes or critical states where large cascading moves become more probable. Self-Organized Criticality SOC theory, introduced by Per Bak, Tang, and Wiesenfeld (1987), describes how complex systems naturally evolve toward critical (fragile) states. An example is a sand pile: adding grains creates avalanches whose sizes follow a power-law distribution rather than a normal distribution. Financial markets exhibit similar behavior. Price movements aren't purely random walks—they display: Fat-tailed distributions (more extreme events than Gaussian models predict) Scale invariance (no characteristic avalanche size) Intermittent dynamics (periods of calm punctuated by large cascades) Power-Law Distributions When a system is in a critical state, the probability of an avalanche of size s follows: P(s) ∝ s^(-α) Where: α (alpha) is the power-law exponent Higher α → distribution resembles Gaussian (large events rare) Lower α → heavy tails dominate (large events common) This indicator estimates α from the empirical distribution of price drawdowns. Mathematical Method 1. Avalanche Detection The indicator identifies local price peaks (highest point in a lookback window), then measures the percentage drawdown to the next trough. A dynamic ATR-based threshold filters out noise—small drops in calm markets count, but the bar rises in volatile periods. 2. Logarithmic Binning Avalanche sizes are sorted into logarithmically-spaced bins (e.g., 1-2%, 2-4%, 4-8%) rather than linear bins. This captures power-law behavior across multiple scales - a 2% drop and 20% crash both matter. The indicator creates 12 adaptive bins spanning from your smallest to largest observed avalanche. 3. Bin-to-Bin Ratio Estimation For each pair of adjacent bins, we calculate: α ≈ log(N₁/N₂) / log(s₂/s₁) Where N₁ and N₂ are avalanche counts, s₁ and s₂ are bin sizes. Example: If 2% drops happen 4× more often than 4% drops, then α ≈ log(4)/log(2) ≈ 2.0. We get 8-11 independent estimates and average them. This is more robust than fitting one line through all points—outliers can't dominate. 4. Rolling Window Analysis Alpha recalculates using only recent avalanches (default: last 500 bars). Old data drops out as new avalanches occur, so the indicator tracks regime shifts in real-time. Regime Classification 🟢 Gaussian α ≥ 2.8 Normal distribution behavior; large moves are rare outliers 🟡 Transitional 1.8 ≤ α < 2.8 Moderate fat tails; system approaching criticality 🟠 Critical 1.0 ≤ α < 1.8 Heavy tails; large avalanches increasingly common 🔴 Super-Critical α < 1.0 Extreme tail risk; system prone to cascading failures What Alpha Tells You Declining alpha → Market moving toward criticality; tail risk increasing Rising alpha → Market stabilizing; returns to normal distribution Persistent low alpha → Sustained fragility; heightened crash probability Supporting Metrics Heavy Tail %: Concentration of total drawdown in largest 10% of events Populated Bins: Data coverage quality (11-12 out of 12 is ideal) Avalanche Count: Sample size for statistical reliability Limitations This is a distributional measure, not a timing indicator. Low alpha indicates increased systemic risk but doesn't predict when a cascade will occur. Only that the probability distribution has shifted toward larger events. How This Differs from the Per Bak Fragility Index The SOC Avalanche Distribution calculates the power-law exponent (alpha) directly from price drawdown distributions - a pure mathematical analysis requiring only price data. The Per Bak Fragility Index aggregates external stress indicators (VIX, SKEW, credit spreads, put/call ratios) into a weighted composite score. Technical Notes Default settings optimized for daily and weekly timeframes on major indices Requires minimum 200 bars of history for stable estimates ATR-based dynamic sizing prevents scale-dependent bias Alerts available for regime transitions and super-critical entry References Bak, P., Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality: An explanation of the 1/f noise. Physical Review Letters. Sornette, D. (2003). Why Stock Markets Crash: Critical Events in Complex Financial Systems. Princeton University Press.
Indicateur Pine Script®
par HenriqueCentieiro
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