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Inyerneck UT Bot with 9 EMA Filter With Signals (Tight) v: 4.20this script is a customized version of the UT bot, enhanced with 9ema trend filter for cleaner entries.designed for short term traders to reduce noise and avoid false signals during choppy price action. youll only see signals when price action confirms momentum aligned with trend as defined by EMA. try adjusting sensitivity and ATR period to your liking. my current setting is ATR 6,Sensitivity 3.8,EMA 9 to 11...
Indicateur Pine Script®
par oogabooger
Candle Close IndicatorCandle Close IndicatorDescription: Simple indicator for alerts on candle closes in a selected timeframe. Sends a concise message: " - candle close - price " (e.g., "solana - 1 H candle close - price 187.2"). Ideal for multi-timeframe trading without noise.Key Features: Alerts: Only ticker, timeframe & close price. Uses alert.freq_once_per_bar_close. Visuals: Optional markers & close price line. Table: Compact info panel (timeframe, status, last close, symbol). Compatibility: Pine v5, all assets. Instructions: Add to chart & set timeframe (default: 15m). Create alert with "Candle Close" condition. Enable markers for visuals if desired.
Indicateur Pine Script®
par kotsol
Flow Control Oscillator (FCO)Flow Control Oscillator (FCO) The Flow Control Oscillator (FCO) is a momentum-based indicator that combines volume analysis and money flow to determine who is in control of the market—buyers or sellers—and how strong that control is. Unlike pure price-based oscillators, FCO integrates both price action and volume distribution to provide a more complete picture of market dynamics. How It Works Core Components: Money Flow Index (MFI) - Scaled to -1 to +1 range Measures the flow of money into and out of an asset Identifies buying and selling pressure based on price and volume Chaikin Money Flow (CMF) - Already in -1 to +1 range Measures the accumulation/distribution of volume Shows whether volume is accumulating (buying) or distributing (selling) Combined Flow Control Line (FCO Line) - Equal-weighted composite of MFI and CMF Smoothed with SMA (default: 3 periods) Values above 0 = Buyers in control Values below 0 = Sellers in control Signal Line - WMA of the FCO line (default: 6 periods) Used for timing entries and confirming momentum shifts Momentum Histogram- Shows the rate of change in buyer/seller control Weighted by ADX (Average Directional Index) when enabled Larger bars = stronger momentum ADX weighting filters out choppy, unreliable signals Key Zones Neutral Zone (-0.3 to +0.3): Balanced market, low conviction Healthy Trend Zone (±0.3 to ±0.7): Clear control without exhaustion Warning Zone (±0.7 to ±1.0): Extended, approaching exhaustion Extreme Zone (beyond ±1.0): Overbought/oversold, reversal likely What To Look For Reversal Setups: FCO in extreme zone (beyond ±1.0) FCO crosses Signal line in opposite direction Momentum histogram shrinking (weakening pressure) Interpretation: Buyers or sellers are exhausted and losing control Trend Strength Setups: FCO crosses zero line (control shift) Momentum histogram growing in the same direction ADX confirms strong trend (no orange background) Signal line moving in same direction as FCO Interpretation: New control being established with building momentum Divergences: Price makes new high/low but FCO doesn't confirm Indicates weakening momentum despite price movement Early warning of potential reversal Choppy Market Warning: Orange background (ADX < 20) Small momentum bars regardless of FCO position Interpretation: Weak trend, avoid trading or use tight stops Best Practices: Use with context: Combine with support/resistance levels (like VWAP) for confluence Multi-timeframe confirmation: Check higher timeframe FCO for overall bias Wait for confirmation: Let signals develop rather than predicting turns Respect extreme zones: Best reversal opportunities occur when FCO is beyond ±1.0 Filter with ADX: Pay attention to background coloring—avoid choppy conditions The indicator includes comprehensive alert conditions for: Reversal setups (extreme + cross + weakening momentum) Trend strength signals (zero cross + growing momentum + strong ADX) FCO/Signal crossovers Extreme overbought/oversold conditions Control shifts (buyers/sellers taking control)
Indicateur Pine Script®
par VP_Futures
Monthly Color Marker V4 ## 📊 Monthly Color Marker - Historical Month Highlighting ### Overview A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets. ### 🎯 Purpose - **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months - **Quick Historical Analysis** - Visual representation of monthly performance over the years - **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish - **Seasonal Trading Planning** - Build strategies based on cyclical patterns ### ⚙️ Adjustable Parameters 1. **Month to Mark (1-12)** - Select the desired month for analysis - 1 = January, 2 = February... 12 = December - Default: 11 (November) 2. **Years Back (1-50)** - Determines how many years back to scan - Recommended: 10-25 years for statistically reliable data - Default: 25 years 3. **Bullish Candle Color** - Color for marking bullish candles (close > open) - Default: Green - Customizable to your personal color scheme 4. **Bearish Candle Color** - Color for marking bearish candles (close < open) - Default: Red - Customizable to your personal color scheme 5. **Show Current Year** - Whether to include the current month in the marking - Useful when the month hasn't finished yet - Default: Yes ### 📈 How to Use the Indicator #### Step 1: Adding to Chart 1. Switch to **Monthly timeframe** - Required! 2. Add the indicator to your chart 3. Select the month you want to analyze #### Step 2: Initial Analysis - **Count green vs red candles** - What's the ratio? - **Look for patterns** - Are there years where the month always rises/falls? - **Identify outliers** - Years where behavior was different #### Step 3: Making Decisions - **Mostly green** → Statistically, the month tends to rise - **Mostly red** → Statistically, the month tends to fall - **Mixed** → No clear seasonal pattern ### 💡 Usage Examples **Example 1: "Santa Claus Rally"** - Select month 12 (December) - Check if there are mostly green candles - If yes, this confirms the well-known year-end rally effect **Example 2: "September Effect"** - Select month 9 (September) - Historically, September is considered a weak month - Do the data support this for this stock? **Example 3: Quarterly Earnings** - Identify which month earnings are released - Check the historical response - Plan entry/exit accordingly ### 🔍 Combining with Other Indicators This indicator works excellently with: - **Historical Monthly Levels** (the first indicator) - Identify nearby price levels - **Volume Profile** - Check volume during those months - **RSI/MACD** - Identify momentum strength in specific months ### ⚠️ Important Notes 1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes 2. **Statistical Sample** - More years = more reliable analysis 3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis 4. **Adjust Colors** - If hard to see, change colors in settings ### 🎨 Tips for Optimal Experience - **Zoom Out** - See more years at a glance - **Clean Chart** - Remove unnecessary indicators for clear analysis - **Compare Stocks** - Check multiple stocks for the same month - **Document Findings** - Take screenshots and save insights for future reference ### 📊 Recommended Statistics After identifying an interesting month: - Calculate success rate (green / total candles) - Check average volatility - Identify outlier years and investigate what happened - Plan entry/exit strategy ### 🚀 Who Is This Indicator For? ✅ **Swing Traders** - Plan medium-term trades ✅ **Seasonal Investors** - Exploit cyclical patterns ✅ **Technical Analysts** - Understand historical behavior ✅ **Portfolio Managers** - Time entries and exits --- ### 📝 Summary The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market. **Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy. --- **Version:** 4.0 **Compatibility:** Pine Script v5 **Timeframe:** Monthly only **Author:** 954 ## 📊 Monthly Color Marker - סימון חודשים היסטוריים ### תיאור כללי אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס. ### 🎯 מטרת האינדיקטור - **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים - **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים - **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי - **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות ### ⚙️ פרמטרים מתכווננים 1. **חודש לסימון (1-12)** - בחירת החודש הרצוי לניתוח - 1 = ינואר, 2 = פברואר... 12 = דצמבר - ברירת מחדל: 11 (נובמבר) 2. **שנים אחורה (1-50)** - קובע כמה שנים אחורה לסרוק - מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה - ברירת מחדל: 25 שנים 3. **צבע נר עולה** - צבע לסימון נרות שורים (close > open) - ברירת מחדל: ירוק - ניתן להתאים לסכמת הצבעים האישית 4. **צבע נר יורד** - צבע לסימון נרות דוביים (close < open) - ברירת מחדל: אדום - ניתן להתאים לסכמת הצבעים האישית 5. **צבע את השנה הנוכחית** - האם לכלול את החודש הנוכחי בסימון - שימושי כאשר החודש טרם הסתיים - ברירת מחדל: כן ### 📈 איך להשתמש באינדיקטור #### שלב 1: הוספה לגרף 1. עבור לטיימפריים **חודשי (Monthly)** - חובה! 2. הוסף את האינדיקטור לגרף 3. בחר את החודש שאתה רוצה לנתח #### שלב 2: ניתוח ראשוני - **ספור נרות ירוקים מול אדומים** - מה היחס? - **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד? - **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה #### שלב 3: קבלת החלטות - **רוב ירוקים** → סטטיסטית החודש נוטה לעלות - **רוב אדומים** → סטטיסטית החודש נוטה לרדת - **מעורב** → אין דפוס עונתי ברור ### 💡 דוגמאות שימוש **דוגמה 1: "Santa Claus Rally"** - בחר חודש 12 (דצמבר) - בדוק אם יש רוב נרות ירוקים - אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה **דוגמה 2: "September Effect"** - בחר חודש 9 (ספטמבר) - היסטורית, ספטמבר נחשב לחודש חלש - האם הנתונים תומכים בכך במניה זו? **דוגמה 3: דיווחים רבעוניים** - זהה בחודש אילו נפרסמים דיווחים - בדוק את התגובה ההיסטורית - תכנן כניסה/יציאה בהתאם ### 🔍 שילוב עם אינדיקטורים אחרים האינדיקטור עובד מצוין בשילוב עם: - **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות - **Volume Profile** - בדיקת ווליום באותם חודשים - **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים ### ⚠️ הערות חשובות 1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים 2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר 3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף 4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות ### 🎨 טיפים לחוויית שימוש מיטבית - **זום אאוט** - ראה יותר שנים במבט אחד - **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור - **השווה מניות** - בדוק מספר מניות לאותו חודש - **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד ### 📊 סטטיסטיקה מומלצת לאחר שזיהית חודש מעניין: - חשב אחוז הצלחה (ירוקים / כל הנרות) - בדוק תנודתיות ממוצעת - זהה שנים חריגות ובדוק מה קרה אז - תכנן אסטרטגיית כניסה/יציאה ### 🚀 למי מתאים האינדיקטור? ✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני ✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים ✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית ✅ **מנהלי תיקים** - תזמון כניסות ויציאות --- ### 📝 סיכום אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק. **המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים. --- **גרסה:** 4.0 **תאימות:** Pine Script v5 **טיימפריים:** חודשי בלבד **מחבר:** [954 ---
Indicateur Pine Script®
par shmuel954
Margen de confianzaIt uses two moving averages (20 and 80). Based on their crossovers, you draw parallel bands. The zone between these bands signals “confidence.” A downside break warns of risk; an upside break suggests price could push to new highs. Son 2 medias moviles. Una de 20 y otra de 80. Utilizando los cruces se puede trazar lineas paralelas. En las zonas que quedan entre estas lineas hay "confianza". Si el precio atraviesa para abajo hay peligro y si atraviesa para arriba puede ir a romper maximos
Indicateur Pine Script®
par spangenberggerman
Time & Session Dividers### indicator Summary This indicator is a powerful utility designed to help you visualize time-based market structure by drawing customizable vertical lines on your chart. It allows you to clearly mark the beginning of new timeframes (like hours, days, or weeks) and highlight specific trading sessions or time slots (like the London open or a news event). It comes with **6 independent dividers** that you can configure to your exact needs: * **3 Timeframe Dividers** * **3 Custom Time Slot Dividers** ### Key Features * **Timeframe Separators:** Set up to 3 different higher timeframes (e.g., 1H, 4H, 1D). The indicator will automatically draw a vertical line at the start of each new bar for that timeframe, helping you easily see hourly, daily, or weekly boundaries. * **Custom Time Slots (Sessions):** Define up to 3 specific time windows (e.g., "09:30-16:00" for the New York session). The indicator will draw a line at the **start** of this session and another line at the **end**, allowing you to isolate specific periods of market activity. * **Full Customization:** Each of the 6 dividers is fully independent and can be customized with: * A simple toggle to turn it on or off. * A unique color. * A line style (Solid, Dotted, or Dashed). * A toggle to show or hide its text label. * **Smart Labels:** Labels for timeframe dividers display the timeframe (e.g., "4H"), while labels for time slots automatically format to show the precise start or end time (e.g., "09:30" and "16:00"). ### How to Use 1. Add the "Timeframe Vertical Lines" indicator to your chart. 2. Open the indicator's **Settings** panel. 3. **To add a timeframe line (e.g., Daily):** * Go to the "Timeframe Divider 1" group. * Check the "Show Divider 1" box. * Set the "Timeframe 1" to "1D". * Adjust the color, style, and text visibility to your liking. 4. **To add a session line (e.g., London Session):** * Go to the "Time Slot Divider 1" group. * Check the "Show Time Slot Divider 1" box. * Set the "Time Slot 1" to your desired session, e.g., "0800-1700". * Adjust the color and style. The script will now draw lines at 08:00 and 17:00 (based on the chart's timezone). 5. Repeat the process using the other available divider slots to build a complete temporal map of your chart.
Indicateur Pine Script®
par nickbonenkamp
[KF] Multi-Duration Rate Expectations IndicatorAfter last fed cut in Oct then following jump in rates, I was frustrated at not having access to good rate expectations vs actual because the market usually prices in prior to fed action. This indicator was developed to make futures market rate expectations accessible and interpretable without requiring professional bond analytics systems. Summary This Pine Script indicator reveals what the futures market expects for interest rates across three key durations: Fed Funds (overnight), 2-Year, and 10-Year Treasury yields. By comparing futures-implied rates against current spot yields, it provides a clear visual signal of whether the market expects rates to rise, fall, or remain steady. Understanding Rate Futures Fed Funds futures (ZQ1!) use a simple design where the expected rate equals 100 minus the futures price. If ZQ1! trades at 96.12, the market expects a 3.88% Fed Funds rate. Treasury futures work differently - they trade as bond prices (typically 102-115) that move inversely to yields. Converting Treasury futures to implied yields requires complex bond mathematics involving duration and conversion factors. This indicator solves the Treasury futures complexity by implementing a self-calibrating sensitivity model. It observes the historical relationship between futures prices and yields, then uses this to project rate expectations. The model also compares front-month to next-month contracts to detect expected rate direction, automatically adapting as market conditions change. How to Use Add the indicator to any chart and select your desired duration in the settings. The display shows the futures-implied rate, current yield, and the difference between them. Green indicates the market expects higher rates, red means lower expectations, and gray shows expectations in line with current rates. The indicator excels at identifying divergences between market expectations and current rates, which often precede rate movements or futures repricing. Comparing expectations across different durations reveals insights about yield curve positioning and Fed policy anticipation. Technical Note While Fed Funds futures provide exact rate expectations, Treasury futures conversions are sophisticated approximations that provide reliable directional signals and reasonable magnitude estimates sufficient for most trading applications.
Indicateur Pine Script®
par Kanefire
High and low statisticsHigh/Low Pattern Analyzer (All Timeframes) Ever wonder if there's a hidden pattern in the market? Does the high of the week usually happen on a Tuesday? Does the low of the month always form in the first week? Which 15-minute candle really sets the high for the entire day? This indicator is a powerful statistical tool designed to answer these questions by analyzing historical price action to find patterns in when the high and low of a period are formed. The Core Idea: Daily High & Low of the Week The simplest and most popular feature of this indicator is the "Daily high and low of the week" analysis. What it does: It looks back over your chosen number of weeks (e.g., the last 100) and finds out which day of the week (Monday, Tuesday, Wednesday, etc.) made the final high and which day made the final low for each of those weeks. How to use it: Go to the script settings. Enable the "Daily High/Low of the Week" module. Set your chart to the 1D (Daily) timeframe. A table will appear on your chart (bottom-right by default) showing the exact count and percentage for each day. This lets you see at a glance if there's a strong tendency for the market you're watching. Advanced Analysis: Other Timeframes This script goes far beyond just the daily chart. It includes four other independent analysis modules: 1. 4-Hour High/Low of the Week What it does: For intraday and swing traders. This module finds which 4-hour candle session (e.g., the 08:00 candle, the 16:00 candle) tends to form the high or low of the entire week. Key Feature (DST Aware): This table is "season-aware." It knows that the 08:00 "summertime" (DST) candle is the same trading session as the 07:00 "wintertime" (STD) candle. It groups them together so your data is never split or messy. 2. Weekly High/Low of the Month What it does: For a monthly perspective. This module finds which week of the month (Week 1, 2, 3, 4, or 5) is most likely to form the monthly high or low. How to use: Enable it and set your chart to the 1W (Weekly) timeframe. 3. Monthly High/Low of the Year What it does: The ultimate "big picture" view. This module finds which month (Jan, Feb, Mar, etc.) most frequently forms the high or low for the entire year. How to use: Enable it and set your chart to the 1M (Monthly) timeframe. The Power User Module: Custom Timeframe Analysis This is the most powerful feature. It lets you analyze any timeframe combination you want. What it does: It finds out which "Lower Timeframe" (LTF) candle made the high or low of any "Higher Timeframe" (HTF) you choose. Example: Do you want to know which 15-minute candle makes the Daily high? Set your chart to the 15M timeframe. Go to the "Custom Timeframe Analysis" settings. Set the "Higher Timeframe" to "1D". The script will draw a "season-aware" table (just like the 4H module) showing you the exact 15-minute candles (09:15, 09:30, etc.) that are statistically most likely to form the day's high or low. Other Features Show Labels: Each module has an option to "Show labels," which will draw a label (e.g., "Daily High of the Week") directly on the chart at the exact bar that made the high or low. Custom Dividers: Each module has its own optional, color-customizable divider (e.g., weekly, monthly) that you can toggle on to see the periods more clearly. Clean Settings: All modules are disabled by default (except for "Daily") to keep your chart clean. You only need to enable the specific analysis you want to see. This tool was built to turn your curiosity about market patterns into actionable, statistical data. Enjoy!
Indicateur Pine Script®
par nickbonenkamp
VIX/VVIX Spike RiskVIX/VVIX Spike Risk Analyzer The VIX/VVIX Spike Risk Analyzer analyzes historical VIX behavior under similar market conditions to forecast future VIX spike risk. By combining current VIX and VVIX levels as dual filters, it identifies historical precedents and calculates the probability and magnitude of VIX spikes over the next 1, 5, and 10 trading days. IMPORTANT: This indicator must be applied to the VIX chart (CBOE:VIX) to function correctly. Methodology 1. Dual-Filter Pattern Matching The indicator uses both VIX and VVIX as simultaneous filters to identify historically analogous market conditions: By requiring BOTH metrics to match historical levels, the indicator creates more precise market condition filters than using VIX alone. This dual-filter approach significantly improves predictive accuracy because: VIX alone might be at 15, but VVIX can tell us if that 15 is stable (low VVIX) or explosive (high VVIX) High VVIX + Low VIX often precedes major spikes Low VVIX + Low VIX suggests sustained calm 2. Tolerance Settings VIX Matching (Default: ±10% Relative) Uses relative percentage matching for consistency across different VIX regimes Example: VIX at 15 matches 13.5-16.5 (±10%) Can switch to absolute tolerance (±5 points) if preferred VVIX Matching (Default: ±10 Points Absolute) Uses absolute point matching as VVIX scales differently Example: VVIX at 100 matches 90-110 Can switch to relative percentage if preferred 3. Historical Analysis Window The indicator scans up to 500 bars backward (limited by VVIX data availability) to find all historical periods where both VIX and VVIX were at similar levels. Each match becomes a "sample" for statistical analysis. 4. Forward-Looking Spike Analysis For each historical match, the indicator measures VIX behavior over the next 1, 5, and 10 days Display Metrics Explained Average Highest Spike Shows the average of the maximum VIX spikes observed. Highest Single Spike Shows the single largest spike ever recorded Probability No 10% Spike Shows what percentage of historical cases stayed BELOW a 10% spike: Probability No 20% Spike Shows what percentage of historical cases stayed BELOW a 20% spike: Note : You'll see many more shaded bars than the sample count because each match creates up to 5 consecutive shaded bars (bars 1-5 after the match all "look back" and see it). Short Volatility Strategies: Enter when there's a LOW probability of big vol spikes based on today's metrics Long Volatility Strategies Enter when there's a HIGH probability of big vol spikes based on today's metrics
Indicateur Pine Script®
par CIVolatility
Tristan's Tri-band StrategyTristan's Tri-band Strategy - Confluence Trading System Strategy Overview: This strategy combines three powerful technical indicators - RSI, Williams %R, and Bollinger Bands - into a single visual trading system. Instead of cluttering your chart with separate indicator panels, all signals are displayed directly on the price chart using color-coded gradient overlays, making it easy to spot high-probability trade setups at a glance. How It Works: The strategy identifies trading opportunities when multiple indicators align (confluence), suggesting strong momentum shifts: 📈 Long Entry Signals: RSI drops to 30 or below (oversold) Williams %R reaches -80 to -100 range (oversold) Price touches or breaks below the lower Bollinger Band All three conditions must align during your selected trading session 📉 Short Entry Signals: RSI rises to 70 or above (overbought) Williams %R reaches 0 to -20 range (overbought) Price touches or breaks above the upper Bollinger Band All three conditions must align during your selected trading session Visual Indicators: (faint) Green gradients below candles = Bullish oversold conditions (buying opportunity) (faint) Red/Orange gradients above candles = Bearish overbought conditions (selling opportunity) Stacked/brighter gradients = Multiple indicators confirming the same signal (higher probability) will stack and show brighter / less faint Blue Bollinger Bands = Volatility boundaries and mean reversion zones Exit Strategy: Long trades exit when price reaches the upper Bollinger Band OR RSI becomes overbought (≥70) Short trades exit when price reaches the lower Bollinger Band OR RSI becomes oversold (≤30) Key Features: ✅ Session Filters - Trade only during NY (9:30 AM-4 PM), London (3 AM-11:30 AM), or Asia (7 PM-1 AM EST) sessions ✅ No Repainting - Signals are confirmed on candle close for realistic backtesting and live trading ✅ Customizable Parameters - Adjust RSI levels, BB standard deviations, Williams %R periods, and gradient visibility ✅ Visual Clarity - See all three indicators at once without switching between panels ✅ Built-in Alerts - Get notified when entry and exit conditions are met How to Use Effectively: Choose Your Trading Session - For day trading US stocks, enable only the NY session. For forex or 24-hour markets, select the sessions that match your schedule. Look for Gradient Stacking - The brightest, most visible gradients occur when both RSI and Williams %R signal together. These are your highest-probability setups. Confirm with Price Action - Wait for the candle to close before entering. The strategy enters on the next bar's open to prevent repainting. Respect the Bollinger Bands - Entries occur at the outer bands (price extremes), and exits occur at the opposite band or when momentum reverses. Backtest First - Test the strategy on your preferred instruments and timeframes. Works best on liquid assets with clear trends and mean reversion patterns (stocks, major forex pairs, indices). Adjust Gradient Visibility - Use the "Gradient Strength" slider (lower = more visible) to make signals stand out on your chart style. Best Timeframes: 5-minute to 1-hour charts for intraday trading; 4-hour to daily for swing trading (I have also found the 3 hour timeframe to work really well for some stocks / ETFs.) Best Markets: Liquid instruments with volatility - SPY, QQQ, major stocks, EUR/USD, GBP/USD, major indices Risk Management: This is a mean reversion strategy that works best in ranging or choppy markets. In strong trends, signals may appear less frequently. Always use proper position sizing and stop losses based on your risk tolerance. ---------------------------------------------- Note: Past performance does not guarantee future results. This strategy is provided for educational purposes. Always backtest thoroughly and practice proper risk management before live trading.RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Stratégie Pine Script®
par OhRayOhRay
India Vix based Strangle StrikesA clean Nifty–VIX dashboard that converts India VIX into expected daily moves, price ranges, and suggested strangle strikes. Includes VIX %, expanded 1.2× range, and smart rounded strike levels for options trading. This script provides a professional on-chart dashboard that converts India VIX into actionable trading levels for Nifty. It calculates the VIX-based expected daily move, projected price ranges, expanded 1.2× ranges, and suggested strangle strike prices. Includes clean formatting, color-coded sections, and real-time updates. Ideal for traders using straddles, strangles, intraday volatility models, range-bound setups, and options-based risk management. 1.2x expanded range is better success probability, may keep 20% of strangle value as stop loss. The vix based system is intended to give approx. 70%+ success rate.
Indicateur Pine Script®
par ipuneet
Sector Analysis [SS]Introducing the most powerful sector analysis tool/indicator available, to date, in Pine! This is a whopper indicator, so be sure to read carefully to ensure you understand its applications and uses! First of all, because this is a whopper, let's go over the key functional points of the indicator. The indicator compares the 11 main sector ETFs against whichever ticker you are looking at. The functions include the following: Ability to pull technicals from the sectors, such as RSI, Stochastic and Z-Score; Ability to look at the correlation of the sector ETF to the current ticker you are looking at. Ability to calculate the R2 value between the ticker you are looking at and each sector. The ability to run a Two Tailed T-Test against the log returns of the Ticker of interest and the Sector (to analyze statistically significant returns between sectors/tickers). The ability to analyze the distribution of returns across all sector ETFs. The ability to pull buying and selling volume across all sector ETFs. The ability to create an integrated moving average using a sector ETF to predict the expected close range of a ticker of interest. These are the highlight functions. Below, I will go more into them, what they mean and how to use them. Pulling Technicals This is pretty straight forward. You can pull technicals, such as RSI, Stochastic and Z-Score from all the sector ETFs and view them in a table. See below for the example: Pulling Correlation In order to see which sector your ticker of interest follows more closely, we need to look first at correlation and then at R2. The correlation will look at the immediate relationship over a specified time. A highly positive value, indicates a strong, symbiotic relationship, which the sector and the ticker follow each other. This would be represented by a correlation of 0.8 or higher. A strong negative correlation, such as -0.8 or lower, indicates that the sector and the ticker are completely opposite. When one goes up, the other goes down and vice versa. You can adjust your correlation assessment length directly in the settings menu: If you want to use a sector ETF to find the expected range for a ticker of interest, it is important to locate the highest, POSITIVE, correlation value. Here are the results for MSFT at a correlation lookback of 200: In this example, we can see the best relationship is with the ETF XLK. Analysis of R2 R2 is an important metric. It essentially measures how much of the variance between 2 tickers are explained by a simple, linear relationship. A high R2 means that a huge degree of variance can be explained between the 2 tickers. A low R2 means that it cannot and that the 2 tickers are likely not integrated or closely related. In general, if you want to use the sector ETF to find the mean and trading range and identify over-valuation/over-extension and under-extension statistically, you need to see both a high correlation and a high R-Squared. These 2 metrics should be analyzed together. Let's take a look at MSFT: Here, despite the correlation implying that XLK was the ticker we should use to analyze, when we look at the R Squared, we see actually, we should be using XLI. XLI has a strong positive relationship with MSFT, albeit a bit less than XLK, but the R2 is solid, > 0.9, indicating the XLI explains much of MSFT's variance. Two Tailed T-Test A two tailed T-test analyzes whether there is a statistically significant difference between 2 different groups, or in our case, tickers. The T-Test is conducted on the log returns of the ticker of interest and the sector. You then can see the P value results, whether it is significant or not. Let's look at MSFT again: Looking at this, we can see there is no statistically significant difference in returns between MSFT and any of the sectors. We can also see the SMA of the log returns for more detailed comparison. If we were to observe a significant finding on the T-Test metrics, this would indicate that one sector either outperforms or underperforms your ticker to a statistically significant degree! If you stumble upon this, you would check the average log returns to compare against the average returns of your ticker of interest, to see whether there is better performance or worse performance from the sector ETF vs. your ticker of interest. Analyzing the Distribution The indicator will also analyze the distribution of returns. This is an interesting option as it can help you ascertain risk. Normally distributed returns imply mean reverting behavviour. Deviations from that imply trending behaviour with higher risk expectancy. If we look at the distribution statistics currently over the last 200 trading days, here are the results: Here, we can see all show signs of trending, as none of the returns are normally distributed. The highest risk sectors are XLK and XLY. Why are they the highest risk? Because the indicator has found a heavy right tailed distribution, indicated sudden and erratic mean reversion/losses are possible. Creating an MA Now for the big bonus of the indicator! The indicator can actually create a regression based range from closely correlated sectors, so you can see, in sectors that are strongly correlated to your ticker, whether your ticker is over-bought, oversold or has mean reverted. Let's look at MSFT using XLI, our previously identified sector with a high correlation and high R2 value: The results are pretty impressive. You can see that MSFT has rode the mean of the sector on the daily timeframe for quite some time. Each time it over extended itself above the sector implied range, it mean reverted. Currently, if you were to trade based on Pairs or statistics, MSFT is no trade as it is currently trading at its sector mean. If you are a visual person, you can have the indicator plot the mean reversion points directly: Green represents a bullish mean reversion and red a bearish mean reversion. Concluding Remarks If you like pair trading, following the link between sectors and tickers or want a more objective way to determine whether a ticker is over-bought or oversold, this indicator can help you. In addition to doing this, the indicator can provide risk insights into different sectors by looking at the distribution, as well as identify under-performing sectors or tickers. It can also shed light on sectors that may be technically over-bought or oversold by looking at Z-Score, stochastics and RSI. Its a whopper and I really hope you find it helpful and useful! Thanks everyone for reading and checking this out! Safe trades!
Indicateur Pine Script®
par Steversteves
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