AP IFTCCIv2/IFTStoch/IFTRSI Multi-TimeframeMulti-Timeframe IFT-CCI/Stoch/RSI Composite
This enhanced indicator combines three powerful oscillators—Inverse Fisher Transform (IFT) versions of the Commodity Channel Index (CCI), Stochastic, and Relative Strength Index (RSI)—into a unified multi-timeframe analysis tool. Originally developed by John Ehlers (pioneer of cyclical analysis and signal processing in trading systems) and adapted by KIVANC (@fr3762), this version adds dual-timeframe capability to compare indicator values across different chart resolutions.
Key Features:
Triple Oscillator Composite
IFT-CCI: Smoothed CCI values transformed via Ehlers' Inverse Fisher Transform (blue-gold)
IFT-Stochastic: Classic stochastic oscillator processed through IFT (blue)
IFT-RSI: RSI oscillator converted to IFT format (magenta)
Composite Average Line: Combined average of all three indicators (green)
Multi-Timeframe Analysis
Compare primary and secondary timeframes (e.g., 1H vs. 4H, daily vs. weekly)
Primary timeframe plots use solid lines with 80% opacity
Secondary timeframe (optional) uses dashed/circle markers with 40% opacity
Key Levels
Overbought (+0.75) and oversold (-0.75) reference lines
Zero-centerline for momentum direction bias
Applications:
Trend Confirmation: Align higher timeframe signals with lower timeframe entries
Divergence Detection: Spot inter-timeframe discrepancies in momentum
Regime Filter: Use higher timeframe composite values to filter trades
Technical Basis:
Inverse Fisher Transform: Compresses oscillator values into bounded (-1 to +1) range while emphasizing extreme moves
Dual WMA Smoothing: Combines initial calculation smoothing (WMA1) with final output smoothing (WMA2)
Exponential Scaling: (e^2x - 1)/(e^2x + 1) formula converts Gaussian-like distributions to bounded outputs
Credits:
Original Concept: John Ehlers (IFT methodology, cyclical analysis foundations)
Initial Implementation: KIVANC (@fr3762 on Twitter) for the base IFT-CCI/Stoch/RSI script
Multi-Timeframe Adaptation: for cross-resolution analysis capabilities
This tool is particularly effective for traders seeking to align multiple timeframes while using Ehlers' noise-reduction techniques. The composite average line provides a consensus view, while the individual oscillators help identify component strength/weakness.
指標和策略
RSI-WMA + EMA Trend Filter | Signal OnlyThis is the specialized indicator representing the internal strategy created by RIO for the Trading Career 2025 Class.
Enjoy and have fun by using it if you feel the option being suitable for your trading!
BB + Renko + YOMA Touch Signal [Full Controls]⚠️ Recommended for use on lower timeframes such as 5 seconds, 30 seconds, or 1 minute, where fast market reactions and tight entries are essential.
📝 English Description for TradingView Publication
Indicator Name: BB + Renko + YOMA Touch Signal
Pine Script Version: v6
Categories: Trend Analysis, Volatility Indicators, Custom Indicators
⸻
📌 Description
This indicator combines trend filtering, volatility zones, and a custom confirmation layer to generate highly accurate long/short entry signals on retracements within a dominant trend.
It is designed to detect high-probability bounce points using:
• 📏 Renko-based Moving Average (as in Renko Stop&Go) to define long/short zones;
• 📉 Bollinger Bands to identify volatility compression and price deviations;
• 🟡 YOMA (Yellow Optimized Moving Average, usually EMA 800) as a smart filter to validate entries.
⸻
✅ Signal Conditions
🔹 Long Signal:
• Price is above the Renko MA (uptrend zone);
• Price touches the lower Bollinger Band from above;
• The YOMA line is below the lower Bollinger Band — confirming there’s no resistance above.
🔻 Short Signal:
• Price is below the Renko MA (downtrend zone);
• Price touches the upper Bollinger Band from below;
• The YOMA line is above the upper Bollinger Band — acting as overhead pressure.
⸻
⚙️ Features
• ✅ Toggle long and short signals independently;
• 🔶 Optional diamond markers at signal bars;
• 🟩 Bar coloring and 🟦 background highlighting on entry;
• 🔔 Built-in alerts for both long and short setups;
• 📏 Full control over Renko smoothing, YOMA period, and Bollinger settings.
⸻
📈 Recommended Use
• Trend-based bounce trading;
• Filtering false breakouts in consolidation zones;
• Intra-day or swing trading across timeframes;
• Works well with other momentum or confirmation tools.
⸻
🧠 Author’s Note
The BB + Renko + YOMA Touch Signal was built to offer clear, reliable entries during volatile market phases — when precision is more valuable than frequency. This tool is especially useful for traders who prefer retracement-based entries with trend alignment and structural filtering.
⸻
📝 Описание для TradingView: BB + Renko + YOMA Touch Signal
Название: BB + Renko + YOMA Touch Signal
Версия Pine Script: v6
Категория: Осциллятор/Сигнальный/Тренд-фильтр
Автор:
Платформа: TradingView
⸻
📌 Идея и логика индикатора
Индикатор BB + Renko + YOMA Touch Signal предназначен для генерации точных точек входа на откатах в рамках основного тренда. Он сочетает три ключевых компонента:
1. Renko MA (сиреневая линия) — определяет глобальное направление движения (лонг/шорт-зона).
2. Полосы Bollinger Band (200) — задают уровни перекупленности/перепроданности.
3. EMA (Yellow Optimized Moving Average, обычно EMA 800) — служит фильтром силы движения и подтверждением касания.
⸻
✅ Условия для сигнала
🔹 Сигнал в лонг
• Цена находится выше Renko MA (глобальный лонг);
• Цена касается нижней полосы Bollinger Band сверху вниз;
• EMA (обычно EMA 800) находится ниже нижней полосы Bollinger Band — то есть не мешает цене разворачиваться вверх.
🔻 Сигнал в шорт
• Цена находится ниже Renko MA (глобальный шорт);
• Цена касается верхней полосы Bollinger Band снизу вверх;
• YOMA находится выше верхней полосы Bollinger Band — как фильтр сопротивления для отката вниз.
⸻
⚙️ Гибкие настройки
• ✅ Включение/отключение сигналов в лонг и шорт;
• 🔶 Визуализация сигналов в виде ромбов на графике;
• 🟩 Подсветка свечей на сигнале (barcolor);
• 🟦 Фоновая закраска зоны сигнала (bgcolor);
• 🔔 Встроенные алерты для мгновенного уведомления.
⸻
📊 Используемые компоненты
• Renko MA: ema(ema(close, 2), 1225) — аналог логики из оригинального индикатора R.sg;
• Bollinger Band: среднее +/– 2 стандартных отклонения от sma(200);
• EMA: обычно используется как EMA(800), но может быть задан вручную.
⸻
📈 Подходит для:
• Откатных стратегий по тренду;
• Фильтрации ложных сигналов в боковике;
• Интрадей и свинг-трейдинга на любых таймфреймах;
• Торговли по Bollinger + тренд-фильтру без шума.
⸻
🧠 Примечание от автора
Этот индикатор был создан для повышения точности входов при возвратах к ключевым уровням в рамках доминирующего направления. Комбинация Renko-фильтра, Bollinger и EMA даёт чёткое понимание структуры рынка и избавляет от случайных касаний.
SBC ProtfoSBC Portfo PNL Indicator
Description
The SBC Portfo PNL Indicator is a user-friendly tool designed for Hebrew-speaking traders to track the Profit and Loss (PNL) of their stock portfolios on TradingView charts. It supports up to 5 distinct portfolios, each capable of holding an unlimited number of stocks with unlimited buy commands, allowing real-time monitoring of portfolio performance.
Key Features
- Multi-Portfolio Support: Track up to 5 separate portfolios for different trading strategies or accounts.
- Unlimited Stock Entries: Add unlimited stocks and buy commands per portfolio.
- Detailed Buy Commands: Input for each stock:
- Stock Ticker (e.g., AAPL, TSLA).
- Buy Price (e.g., 150.25).
- Buy Amount (e.g., 10).
- Hebrew-Friendly Interface: Intuitive settings dialog with clear instructions in Hebrew.
- Customizable PNL Tracking: Visualize PNL on charts with real-time updates based on market data.
How to Use
1. Add the Indicator:
- Go to the Indicators menu in TradingView and add the "SBC Portfo" PNL Indicator.
2. Configure Portfolios:
- Open the indicator’s settings dialog.
- For each portfolio (up to 5), enter data in the provided input fields using this format:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
Example:
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
- This represents a portfolio named "Portfolio1" with:
- 10 shares of AAPL bought at $150.25.
- 5 shares of TSLA bought at $266.72.
- Repeat for additional portfolios (e.g., Portfolio2, Portfolio3).
- Add multiple buy commands for the same stock if needed (e.g., AAPL:160.50x20).
3. Apply Settings:
- Save settings to display PNL based on current market prices.
4. Monitor PNL:
- View PNL for each portfolio on the chart via tables, labels, or graphical overlays (based on settings).
Input Format
Enter portfolio data manually in the settings dialog, one input field per portfolio:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
- PortfolioName: Unique name (e.g., Portfolio1, Growth).
- StockTicker: Stock symbol (e.g., AAPL).
- BuyPrice: Purchase price per share (e.g., 150.25).
- BuyAmount: Number of shares (e.g., 10).
- Use
: to separate portfolio name, ticker, and buy data
x to separate price and amount
; for multiple stocks in the portfolio
Example:
- Portfolio 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5
- Portfolio 2: DividendPortfolio:KO:55.20x50;PG:145.30x30
Notes
- Hebrew Support: Settings and labels are optimized for Hebrew users.
- Manual Input: Enter portfolio data manually in the settings dialog using the correct format.
- Compatibility: Works with any stock ticker supported by TradingView.
תיאור אינדיקטור SBC Portfo PNL הוא כלי ידידותי למשתמש שתוכנן במיוחד עבור סוחרים דוברי עברית למעקב אחר רווח והפסד (PNL) של תיקי המניות שלהם ישירות בגרפים של TradingView. הוא תומך בעד 5 תיקים נפרדים, כאשר כל תיק יכול להכיל מספר בלתי מוגבל של מניות עם פקודות קנייה בלתי מוגבלות, ומאפשר מעקב בזמן אמת אחר ביצועי התיק.
תכונות עיקריות
- תמיכה בריבוי תיקים: מעקב אחר עד 5 תיקים נפרדים עבור אסטרטגיות מסחר או חשבונות שונים.
- רישום מניות ללא הגבלה: הוספת מספר בלתי מוגבל של מניות ופקודות קנייה לכל תיק.
- פקודות קנייה מפורטות: הזנת נתונים עבור כל מניה:
- סימול המניה (למשל, AAPL, TSLA).
- מחיר קנייה (למשל, 150.25).
- כמות קנייה (למשל, 10).
- ממשק ידידותי לעברית: חלונית הגדרות אינטואיטיבית עם הוראות ברורות בעברית.
- מעקב PNL הניתן להתאמה: הצגת רווח והפסד בגרפים עם עדכונים בזמן אמת בהתבסס על נתוני השוק.
כיצד להשתמש
1. הוספת האינדיקטור:
- נווט לתפריט האינדיקטורים ב-TradingView והוסף את "SBC Portfo PNL Indicator".
2. הגדרת תיקים:
- פתח את חלונית ההגדרות של האינדיקטור.
- עבור כל תיק (עד 5), הזן נתונים בשדות המסופקים בפורמט הבא:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
לדוגמה:
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
שורה זו מייצגת תיק בשם "Portfolio1" עם:
- 10 מניות של AAPL שנקנו ב-$150.25.
- 5 מניות של TSLA שנקנו ב-$266.72.
- חזור על התהליך עבור תיקים נוספים (למשל, Portfolio2, Portfolio3).
- ניתן להוסיף פקודות קנייה מרובות לאותה מניה לפי הצורך (למשל, AAPL:160.50x20).
3. החלת ההגדרות:
- שמור את ההגדרות להצגת ה-PNL בהתבסס על מחירי השוק הנוכחיים.
4. מעקב אחר PNL:
- צפה ב-PNL עבור כל תיק בגרף באמצעות טבלאות, תוויות או שכבות גרפיות (בהתאם להגדרות).
פורמט קלט הזן נתוני תיק ידנית בחלונית ההגדרות, שדה קלט אחד לכל תיק: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
PortfolioName: שם ייחודי (למשל, Portfolio1, Growth).
StockTicker: סימול המניה (למשל, AAPL).
BuyPrice: מחיר רכישה למניה (למשל, 150.25).
BuyAmount: מספר המניות (למשל, 10).
השתמש ב-
: להפרדה בין שם התיק, סימול ונתוני קנייה
x להפרדה בין מחיר וכמות
; להפרדה בין מניות מרובות
דוגמה:
- תיק 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5
- תיק 2: DividendPortfolio:KO:55.20x50;PG:145.30x30
Release Notes
Version 1.1 includes:
- Calculations for extended hours (Pre-Market & After-Hours).
- Option to display portfolio summary data for stocks not in the portfolio (enable via settings checkbox).
- Table background for better visibility; click to bring table to the front.
- Updated text strings (names, titles, tooltips).
הערות
תמיכה בעברית: ההגדרות והתוויות מותאמות למשתמשים דוברי עברית.
הזנה ידנית: הזן נתוני תיק ידנית בחלונית ההגדרות תוך שימוש בפורמט הנכון.
תאימות: עובד עם כל סימול מניה הנתמך על ידי TradingView.
גרסה 1.1 מכילה:
1. חישובים כוללים שעות מסחר מורחבות (Pre-Market ו-After-Hours).
2. אפשרות להציג נתוני תיק כוללים עבור מניות שאינן בתיק (הפעל באמצעות תיבת סימון בהגדרות).
3. צבע רקע לטבלה לשיפור הנראות; לחיצה על הטבלה מביאה אותה לחזית.
4. תיקון נוסחים (שמות, כותרות, וטולטיפים).
LDO Multi-Timeframe Vector Scalping with TrendsGuide to LDO Multi-Timeframe Vector Scalping with Trends
This concise guide covers the LDO Multi-Timeframe Vector Scalping with Trends indicator, optimized for scalping on a 15-minute chart. It focuses on Predictive Ranges, PVSRA Candles, Daily/Weekly/Monthly (DWM) Levels, EMA Wave, and Alerts.
Key Features
1. Predictive Ranges
What: Dynamic price levels (h2, h1, POC, l1, l2) based on ATR (default: length 200, multiplier 6.0).
Use for Scalping:
Reversals: Short at h2/h1, long at l2/l1 on rejection.
Breakouts: Trade above h2 or below l2 with volume confirmation.
POC: Target for mean-reversion trades.
Settings: Adjust length, multiplier, timeframe; enable historical ranges for analysis.
Alerts: Trigger on price crossing h2, h1, POC, l1, l2.
2. PVSRA Candles
What: Color-coded candles (red = bearish, green = bullish, violet/blue = significant, gray = regular) based on volume/spread.
Use for Scalping:
Confirmation: Green candles at l1/l2 or DWM support for longs; red at h1/h2 or DWM resistance for shorts.
Breakouts: High-volume PVSRA candles breaking h2/l2 or DWM levels.
Settings: Enable PVSRA candles and alerts; optionally show Vector Zones.
Alerts: Trigger on high-volume bullish/bearish candles.
3. Daily/Weekly/Monthly (DWM) Levels
What: Previous period’s high, low, midpoint (PDH/PDL/PDM, PWH/PWL/PWM, PMH/PML/PMM, MonH/MonL).
Use for Scalping:
Support/Resistance: Long near PDL/PWL, short near PDH/PWH.
Confluence: Combine with Predictive Ranges (e.g., PDL near l1).
Breakouts: Trade breaks of PDH/PWH or PDL/PWL.
Settings: Enable/disable DWM levels; adjust label size/offset.
4. EMA Wave
What: EMA (13) and SMA (8) crossovers with 1H EMA (21 or 50) trend filter.
Use for Scalping:
Entry: Long on EMA > SMA near l1/l2; short on EMA < SMA near h1/h2.
Exit: Target POC or h1/l1; exit on reverse crossover.
Settings: Adjust EMA/SMA lengths; enable 1H trend filter.
Alerts: Trigger on EMA/SMA crossovers with RSI/momentum filters.
5. Alerts
What: Notifications for PVSRA candles, EMA crossovers, buy/sell signals, and Predictive Range crossings.
Use for Scalping: Enable alerts for real-time trade signals; set up in TradingView for notifications (email, SMS, webhook).
Scalping Strategy
Setup: Use 15m chart; enable Predictive Ranges, PVSRA Candles, DWM Levels, EMA Wave, Alerts.
Long Setup:
Price near l1/l2 or PDL/PWL.
Green PVSRA candle + EMA > SMA.
Enter on buy signal; stop below l2/PDL; target POC/h1.
Short Setup:
Price near h1/h2 or PDH/PWH.
Red PVSRA candle + EMA < SMA.
Enter on sell signal; stop above h2/PDH; target POC/l1.
Risk Management: Risk 0.5-1% per trade; aim for 1:1 to 2:1 R:R.
Confluence: Prioritize setups where DWM levels align with Predictive Ranges and PVSRA/EMA signals.
Tips
Align Timeframes: Use Market Analysis table (5m to 1D) to confirm trends.
Customize: Adjust Predictive Range and EMA settings for your market.
Backtest: Validate setups with historical data.
Alerts: Prioritize EMA crossover and Predictive Range alerts for entries.
Conclusion
The LDO Multi-Timeframe Vector Scalping with Trends indicator combines Predictive Ranges, PVSRA Candles, DWM Levels, and EMA Wave for high-probability scalping. Use alerts and confluence to trade reversals, breakouts, or mean-reversion setups. Backtest and manage risk for consistent results. Licensed under CC BY-NC-SA 4.0, with Predictive Ranges
Rocky's Dynamic DikFat Supply & Demand ZonesDynamic Supply & Demand Zones
Overview
The Dynamic Supply & Demand Zones indicator identifies key supply and demand levels on your chart by detecting pivot highs and lows. It draws customizable boxes around these zones, helping traders visualize areas where price may react. With flexible display options and dynamic box behavior, this tool is designed to assist in identifying potential support and resistance levels for various trading strategies.
Key Features
Pivot-Based Zones: Automatically detects supply (resistance) and demand (support) zones using pivot highs and lows on the chart’s timeframe.
Dynamic Box Sizing: Boxes shrink when price enters them, reflecting reduced zone strength, and stop adjusting once price fully crosses through.
Customizable Display: Choose to show current-day boxes, historical boxes, or all boxes, with an option to update past box colors dynamically.
Session-Based Extension: Boxes can extend to the current bar or stop at 4:00 PM of the creation day’s 9:30 AM–4:00 PM trading session (ideal for stock markets).
Color Coding: Borders change color based on price position:
Green for demand zones (price above the box).
Red for supply zones (price below the box).
White for neutral zones (price inside the box).
User-Friendly Inputs: Adjust pivot lookback periods, box visibility, extension behavior, and colors via intuitive input settings.
How It Works
Zone Detection: The indicator uses pivot highs and lows to define supply and demand zones, plotting boxes between these levels.
Box Behavior:
Boxes are created when pivot highs and lows are confirmed, with no overlap with the previous box.
When price enters a box, it shrinks to reflect interaction, stopping once price exits completely.
Boxes can extend to the current bar or end at 4:00 PM of the creation day (or next trading day if created after 4:00 PM or on weekends).
Display Options:
Current Only: Shows boxes created on the current day.
Historical Only: Shows boxes from previous days, with optional color updates.
All Boxes: Shows all boxes, with an option to hide historical box color updates.
Performance: Limits the number of boxes to 200 to ensure smooth performance, removing older boxes as needed.
Inputs
Pivot Look Right/Left: Set the number of bars (default: 2) to confirm pivot highs and lows.
What Boxes to Show: Select Current Only, Historical Only, or All Boxes (default: Current Only).
Boxes On/Off: Toggle box visibility (default: on).
Extend Boxes to Current Bar: Choose whether boxes extend to the current bar or stop at 4:00 PM (default: off, stops at 4:00 PM).
Update Past Box Colors: Enable/disable color updates for historical boxes (default: on).
Demand/Supply/Neutral Box Color: Customize border colors (default: green, red, white).
How to Use
Add the indicator to your chart.
Adjust inputs to match your trading style (e.g., pivot lookback, box extension, colors).
Use the boxes to identify potential support (demand) and resistance (supply) zones:
Green-bordered boxes (price above) may act as support.
Red-bordered boxes (price below) may act as resistance.
White-bordered boxes (price inside) indicate active price interaction.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
Monitor box shrinking to gauge zone strength and watch for breakouts when price fully crosses a box.
Understanding Supply and Demand in Stock Trading
In stock trading, supply and demand are fundamental forces driving price movements. Demand refers to the willingness of buyers to purchase a stock at a given price, often creating support levels where buying interest prevents further price declines. Supply represents the willingness of sellers to offload a stock, forming resistance levels where selling pressure halts price increases. These zones are critical because they highlight areas where significant buying or selling activity has occurred, influencing future price behavior.
The importance of supply and demand lies in their ability to reveal where institutional traders, with large orders, have entered or exited the market. Demand zones, often seen at pivot lows, indicate strong buying interest and potential areas for price reversals or bounces. Supply zones, typically at pivot highs, signal heavy selling and possible reversal points for downward moves. By identifying these zones, traders can anticipate where price is likely to stall, reverse, or break out, enabling better entry and exit decisions. This indicator visualizes these zones as dynamic boxes, making it easier to spot high-probability trading opportunities while emphasizing the core market dynamics of supply and demand.
Feedback
This indicator is designed to help traders visualize supply and demand zones effectively. If you have suggestions for improvements, please share your feedback in the comments!
Anomaly Counter-Trend StrategyA mean-reversion style strategy that automatically spots unusually large price moves over a configurable lookback period and takes the opposite side, with full risk-management, commission and slippage modeling—built in Pine Script® v6.
🔎 Overview
ACTS monitors the percent-change over the past N minutes and, when that move exceeds your chosen threshold, enters a counter-trend position (short on a strong rise; long on a sharp fall). It’s ideal for markets that often “overshoot” and snap back, and can be applied on any symbol or timeframe.
⚙️ Key Features
Anomaly Detection: Detect abnormal price swings based on a user-defined % change over a lookback period.
Counter-Trend Entries: Auto-enter short on rise anomalies, long on fall anomalies (with seamless flat↔reverse transitions).
Risk Management: Configurable stop-loss and take-profit in ticks per trade.
Realistic Modeling: Simulates commissions (0.05 % default), slippage (2 ticks), and percent-of-equity sizing.
Immediate Bar-Close Execution: Orders processed on bar close for faster fills.
Visual Aids: Optional on-chart BUY/SELL triangles and background highlights during anomaly periods.
⚙️ Inputs
Input Default Description
Percentage Threshold (%) 2.00 Min % move over lookback to trigger an anomaly.
Lookback Period (Minutes) 15 Number of minutes over which to measure change.
Stop Loss (Ticks) 100 Distance from entry for stop-loss exit.
Take Profit (Ticks) 200 Distance from entry for take-profit exit.
Plot Trade Signal Shapes (on/off) true Show BUY/SELL triangles on chart.
Highlight Anomaly Background true Shade background during anomaly bars.
📊 How to Use
Add to Chart: Apply the script to any ticker & timeframe.
Tune: Adjust your percentage threshold and lookback to match each instrument’s volatility.
Review Backtest: Check built-in strategy performance (drawdown, Sharpe, etc.) under the Strategy Tester tab.
Go Live: Once optimized, link to alerts or your trade execution system.
⚠️ Disclaimer
This script is provided “as-is” for educational purposes and backtesting only. Past performance does not guarantee future results. Always backtest thoroughly, manage your own risk, and consider market conditions before live trading.
Enjoy experimenting—and may your counter-trend entries catch the next big snapback!
GOLDEN TIME MARKER) + 7PM (Mondays)This indicator draws vertical lines at key session times in UTC+1 (Casablanca local time):
- Red line at 04:00 AM daily
- Green line at 04:00 PM daily
- Blue line at 07:00 PM only on Mondays (2024–2025)
Perfect for traders who want to mark important intraday levels for Forex, Crypto, or any asset class. Works on timeframes from 1 minute up to 1 hour. Customizable colors and full multi-market support.
CorrelationMulti-Timeframe Correlation Indicator
This Pine Script indicator measures the correlation between the current symbol and a reference symbol (default: GLD) across three different timeframes. It provides traders with valuable insights into how assets move in relation to each other over short, medium, and long-term periods.
Key Features
Multiple Timeframe Analysis: Calculates correlation coefficients over three customizable periods (default: 20, 50, and 200 bars)
Visual Reference Lines: Displays horizontal lines at +1, 0, and -1 to indicate perfect positive correlation, no correlation, and perfect negative correlation
Color-Coded Outputs: Shows short-term correlation in green, medium-term in yellow, and long-term in red for easy visual interpretation
Understanding Correlation
The correlation coefficient measures the statistical relationship between two data series, ranging from -1 to +1:
+1: Perfect positive correlation (both assets move together in the same direction)
0: No correlation (movements are random and independent)
-1: Perfect negative correlation (assets move in opposite directions)
How To Use This Indicator
Market Relationships: Identify how strongly your current asset correlates with the reference symbol
Diversification Analysis: Find assets with negative correlations to build a diversified portfolio
Divergence Opportunities: Watch for changes in correlation patterns that might signal trading opportunities
Trend Confirmation: Use correlation with benchmark assets to confirm broader market trends
Customization Options
Reference Symbol: Change the default GLD to any other symbol you want to compare against
Period Lengths: Adjust the short, medium, and long timeframes to match your trading strategy and timeframe
This indicator helps traders make more informed decisions by understanding the interrelationships between different assets across various timeframes, potentially improving portfolio construction and risk management strategies.
EMA Breakdown Strategytake sell position when price crosses below ema take a short position when price crosses below green candel low target size of green candle SL high of green candel RR 1:1
Grid + Trade Annotations & Liquidations## Introducing the “Grid + Trade Annotations & Liquidations” Pine Script Strategy
Imagine you could overlay a perfectly-spaced price grid on your favorite chart, backtest a simple moving-average crossover, see exactly where trades would have fired off in the past—and even know at what price you’d have been liquidated if you were running at 10× leverage. That’s exactly what this all-in-one TradingView **Pine Script® v6** strategy delivers.
### Why you’ll love it
* **Visual clarity:** A fixed-interval horizontal grid, centered on each bar’s close, helps you instantly spot round-number levels (e.g. every \$0.50).
* **Trade annotations:** Every historical entry/exit is automatically marked with arrows and labels—no more scrolling through Trade History.
* **Liquidation lines:** For each entry, the script computes your theoretical liquidation price, based on your chosen leverage, and draws it as a dashed line.
* **Performance metrics:** Total return, maximum drawdown, Sharpe ratio, and win rate are calculated and displayed on-chart, so you don’t have to wrestle with spreadsheets.
---
## How it’s structured
The code lives in a single **strategy**—add it via **Pine Editor → New Strategy** and click **Add to Chart**. Internally, it’s broken into four main sections:
1. **Grid setup:**
* **Inputs:** `gridStep`, `aboveLines`, `belowLines`, `gridColor`, `gridStyle`, `gridWidth`.
* **Persistent array:** stores `line` objects so they survive bar updates.
* **Draw/update logic:** on each confirmed historical bar, the script either recreates all lines (when you change the count) or simply repositions them around the new close.
2. **Entry/exit logic & annotations:**
* **Example system:** 20-period vs. 50-period simple moving-average crossover.
* **Labels & shapes:**
* Green triangles for long entries/exits, red for short.
* A “Long Liq:” or “Short Liq:” label at the point of entry.
3. **Liquidation calculations:**
* **Formula:**
* Long: `P_liq = P_entry × (1 − 1⁄L)`
* Short: `P_liq = P_entry × (1 + 1⁄L)`
* Let the script draw a dashed red (for longs) or dashed green (for shorts) line at each `P_liq`.
4. **Performance metrics:**
* **Built-ins:**
* `strategy.netprofit_percent` → total return %
* `strategy.max_drawdown_percent` → max drawdown %
* `strategy.wintrades` / `strategy.closedtrades` → win rate %
* **Sharpe ratio:** manually computed from per-bar returns, assuming a user-defined risk-free rate and bars-per-year count.
---
## Using & customizing the strategy
1. **Add to your chart.**
* Copy the full script into Pine Editor, select **Strategy**, and hit **Add to Chart**.
2. **Tune your grid.**
* **`Grid Interval ($)`**: e.g. `0.50` for \$0.50 steps.
* **`Lines Above`/`Below`**: how many lines to show on each side of the current price.
* **`Grid Style`**: choose Solid, Dashed, or Dotted; set line width and opacity via the color picker.
3. **Adjust your trading logic.**
* Out of the box, the script uses SMA(20) vs. SMA(50). Swap in any `ta.*` indicator calls you like.
4. **Set leverage & capital.**
* **`Leverage`**: affects the liquidation price.
* **`Initial Capital`** and **`Order Size`**: the strategy uses 100% of equity per trade by default—you can change that in the `strategy()` call.
5. **Review performance.**
* Metrics show up in the Strategy Tester and on-chart label.
* If you want data in the Data Window, expand the script’s name to see the hidden plots for return, drawdown, Sharpe, and win rate.
---
## Behind the code
Below is a high-level walkthrough of the key snippets:
```pinescript
//@version=6
strategy("Grid + Annotations & Liquidations", overlay=true,
initial_capital=100000, default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// ─ Grid inputs & style mapping ────────────────────────────────────────
gridStep = input.float(0.50, "Grid Interval ($)", minval=0)
aboveLines = input.int(5, "Lines Above", minval=0)
belowLines = input.int(5, "Lines Below", minval=0)
gridColor = input.color(color.new(color.gray, 80), "Grid Color")
gridStyle = input.string("Dashed", "Grid Style", options= )
gridWidth = input.int(1, "Grid Line Width", minval=1, maxval=5)
gridStyleConst = gridStyle == "Solid" ? line.style_solid :
gridStyle == "Dotted"? line.style_dotted :
line.style_dashed
```
* We map a simple string choice into Pine’s `line.style_*` constants.
* `gridStep` drives the spacing in dollars.
```pinescript
// Persist & update lines only when needed
var line gridLines = array.new_line()
if barstate.islastconfirmedhistory
total = aboveLines + belowLines + 1
if array.size(gridLines) != total
// delete & recreate
…
else
// only reposition
…
```
* Wrapping all drawing in `barstate.islastconfirmedhistory` avoids repaint issues.
* The script deletes and rebuilds lines only when you change `aboveLines`/`belowLines`, otherwise it simply moves them.
```pinescript
// MA crossover logic & liquidation labels
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
if ta.crossover(fast, slow)
strategy.entry("Long", strategy.long)
liq = close * (1 - 1.0 / leverage)
label.new(bar_index, low, text="Long Liq: " + str.tostring(liq))
line.new(…, y1=liq, y2=liq, color=color.red, style=line.style_dashed)
```
* Entries trigger both the `strategy.entry` call and a pair of visual cues: a label and a dashed line at the computed liquidation price.
```pinescript
// Performance metrics: draw from built-ins + manual Sharpe
totalRet = strategy.netprofit_percent
maxDD = strategy.max_drawdown_percent
winRate = strategy.closedtrades > 0 ?
(strategy.wintrades / strategy.closedtrades)*100 : 0
// Manual Sharpe calculation
… accumulate per-bar % returns … compute mean, stddev … apply formula …
```
* TradingView gives us return, drawdown, and trade counts out of the box.
* We calculate Sharpe ourselves so you can adjust the risk-free rate and periods per year.
---
## Wrapping up
This one-file strategy is designed to be both **educational** and **practical**:
* **Learn by reading:** every section is commented so you can see how Pine v6 handles arrays, loops, strategy functions, and labels.
* **Customize for your edge:** swap in your own indicators, change leverage, or hook up alerts.
* **Publish & share:** drop it into your public repo with this story as your README, and fellow traders will know exactly how to use it.
Feel free to fork, file issues, or submit pull requests. Happy charting—and may your grid lines always align!
GoldenJet - First Candle High/LowThe "First Candle High/Low" indicator is a custom intraday trading tool designed for use on intraday charts (e.g., 1-minute, 5-minute, 15-minute). It automatically marks the high and low of the first completed candle of the trading day using horizontal dashed lines. These lines are extended visually across the chart until the end of the day, allowing traders to reference them easily throughout the session.
The first candle of the day is identified by detecting a new calendar day.
The high and low from that candle are stored and used as key levels.
The levels are displayed as horizontal lines from the first candle's time up to day end
✅ Benefits of This Indicator for Intraday Traders
Establishes Key Reference Points Early:
The high and low of the first candle often act as early indicators of intraday support and resistance.
Helps identify the day's potential range and momentum.
Improves Trade Planning:
You can use the levels to set breakout or reversal entries.
Helps in defining stop-loss and take-profit zones based on these levels.
Supports Multiple Strategies:
Useful in breakout trading, where a break above the first candle high might indicate bullish momentum.
Helpful in mean-reversion or range trading, where price bouncing between high and low can be exploited.
Enhances Risk Management:
By marking predefined levels, you avoid emotionally-driven entries.
Lines provide a clear visual cue for when to act or wait.
Works Across Markets and Instruments:
Applicable to stocks, indices, futures, forex, and crypto — anywhere intraday price action matters.
CANDLE MARKER - 4AM, 4PM (Daily) + 7PM (Mondays)This indicator draws vertical lines at key session times in UTC+1 (Casablanca local time):
- Red line at 04:00 AM daily
- Green line at 04:00 PM daily
- Blue line at 07:00 PM only on Mondays (2024–2025)
Perfect for traders who want to mark important intraday levels for Forex, Crypto, or any asset class. Works on timeframes from 1 minute up to 1 hour. Customizable colors and full multi-market support.
VWAP Double Touch Alert (Timeframe-Aware)📌 VWAP Double Touch Alert — Smart Re-entry Signal for Precision Traders
Take your VWAP trading to the next level with this intelligent indicator that filters out the noise and zeroes in on high-probability re-entry setups.
💡 How it works:
This script tracks every time price touches the VWAP line and alerts you when it happens twice within a defined window of time (adjustable per your timeframe). This is often a sign of smart money accumulation, potential reversals, or explosive breakouts.
🔍 Why Traders Love It:
✅ Filters out weak signals — only alerts on confirmed double touches
✅ Fully adjustable VWAP zone sensitivity
✅ Selectable timeframe profiles or custom window (1m, 5m, 15m, 30m, etc.)
✅ Clean visual cues with minimal chart clutter
✅ Perfect for scalping, intraday reversals, or VWAP mean-reversion strategies
⚙️ Customization:
VWAP zone width (in %)
Time window in bars or automatic based on timeframe
Custom alert messages
Alert only triggers once per double-touch event to avoid spamming
🎯 Best For:
Crypto scalpers & day traders
VWAP bounce and mean-reversion traders
Traders who want clean, conclusive entry alerts without lag
FxAST RSI Enhanced - Free [ALLDYN]## 📊 FxAST RSI - Enhanced AI Upgrade
A refined RSI model inspired by Constance Brown’s *Technical Analysis for the Trading Professional*, this upgrade integrates fast/slow EMA overlays and a dynamic confluence dashboard to capture RSI **range shifts**, **momentum inflection points**, and **trend confirmation** in one concise view.
### ✅ Key Features:
* **Smoothed RSI EMAs** (3/13 default) with toggleable smoothing for swing vs. intraday styles
* **Range shift bands** (30–70) color-coded for overbought/oversold + intermediate sentiment zones (40/60)
* **Buy/Sell signals** on EMA crossovers with momentum thresholds
* **Dynamic dashboard** displaying:
* Bias (Bullish, Bearish, Neutral)
* RSI value
* Δ% between Fast/Slow EMAs
* Live Fast/Slow values
* **Clean visual design**: decluttered, responsive, and designed for multi-timeframe clarity
### 🧠 Ideal Usage:
* **Swing traders**: Use smoothing to reduce whipsaws and focus on structural momentum
* **Intraday traders**: Disable smoothing for raw RSI edge and faster signal responsiveness
* **Pairs well with**: TDI, BBP AI Upgrade, EMA Confluence, or your favorite price action method
---
Great question — in the context of your upgraded RSI model, the **“AI Upgrade”** label doesn't mean this script uses machine learning directly (like a trained neural network). Instead, it's a naming convention reflecting a **smart augmentation** of traditional indicators. Here's why it's justified:
---
### 🔍 Why “ Enhanced AI Upgrade” Applies:
**1. Structured Signal Logic**
Rather than raw RSI readings, you’ve added:
* **Fast/Slow EMA smoothing**, simulating temporal filtering — similar to how AI models smooth input volatility.
* **Crossover logic + context conditions** (like EMA > 40) to minimize false positives — a rule-based decision tree.
**2. Dynamic Confluence Table**
Real-time interpretation of multiple signal elements:
* Signal bias (Bullish/Bearish)
* Δ% of Fast/Slow EMAs
* Live RSI values
> This replicates how AI models produce **confidence scores and diagnostic metrics** in dashboards.
**4. Visual Intelligence**
Clean, decluttered design with dynamic label positioning, smoothing toggle for **behavioral adaptation**, and table summaries reflects intelligent UX/UX thinking—one of the hallmarks of practical AI system design.
Fusion Sniper X [ Crypto Strategy]📌 Fusion Sniper X — Description for TradingView
Overview:
Fusion Sniper X is a purpose-built algorithmic trading strategy designed for cryptocurrency markets, especially effective on the 1-hour chart. It combines advanced trend analysis, momentum filtering, volatility confirmation, and dynamic trade management to deliver a fast-reacting, high-precision trading system. This script is not a basic mashup of indicators, but a fully integrated strategy with logical synergy between components, internal equity management, and visual trade analytics via a customizable dashboard.
🔍 How It Works
🔸 Trend Detection – McGinley Dynamic + Gradient Slope
McGinley Dynamic is used as the baseline to reflect adaptive price action more responsively than standard moving averages.
A custom gradient filter, calculated using the slope of the McGinley line normalized by ATR, determines if the market is trending up or down.
trendUp when slope > 0
trendDown when slope < 0
🔸 Momentum Confirmation – ZLEMA-Smoothed CCI
CCI (Commodity Channel Index) is used to detect momentum strength and direction.
It is further smoothed with ZLEMA (Zero Lag EMA) to reduce noise while keeping lag minimal.
Entry is confirmed when:
CCI > 0 (Bullish momentum)
CCI < 0 (Bearish momentum)
🔸 Volume Confirmation – Relative Volume Spike Filter
Uses a 20-period EMA of volume to calculate the expected average.
Trades are only triggered if real-time volume exceeds this average by a user-defined multiplier (default: 1.5x), filtering out low-conviction signals.
🔸 Trap Detection – Wick-to-Body Reversal Filter
Filters out potential trap candles using wick-to-body ratio and body size compared to ATR.
Avoids entering on manipulative price spikes where:
Long traps show large lower wicks.
Short traps show large upper wicks.
🔸 Entry Conditions
A trade is only allowed when:
Within selected date range
Cooldown between trades is respected
Daily drawdown guard is not triggered
All of the following align:
Trend direction (McGinley slope)
Momentum confirmation (CCI ZLEMA)
Volume spike active
No trap candle detected
🎯 Trade Management Logic
✅ Take Profit (TP1/TP2 System)
TP1: 50% of the position is closed at a predefined % gain (default 2%).
TP2: Remaining 100% is closed at a higher profit level (default 4%).
🛑 Stop Loss
A fixed 2% stop loss is enforced per position using strategy.exit(..., stop=...) logic.
Stop loss is active for both TP2 and primary entries and updates the dashboard if triggered.
❄️ Cooldown & Equity Protection
A user-defined cooldown period (in bars) prevents overtrading.
A daily equity loss guard blocks new trades if portfolio drawdown exceeds a % threshold (default: 2.5%).
📊 Real-Time Dashboard (On-Chart Table)
Fusion Sniper X features a futuristic, color-coded dashboard with theme controls, showing:
Current position and entry price
Real-time profit/loss (%)
TP1, TP2, and SL status
Trend and momentum direction
Volume spike state and trap candle alerts
Trade statistics: total, win/loss, drawdown
Symbol and timeframe display
Themes include: Neon, Cyber, Monochrome, and Dark Techno.
📈 Visuals
McGinley baseline is plotted in orange for trend bias.
Bar colors reflect active positions (green for long, red for short).
Stop loss line plotted in red when active.
Background shading highlights active volume spikes.
✅ Why It’s Not Just a Mashup
Fusion Sniper X is an original system architecture built on:
Custom logic (gradient-based trend slope, wick trap rejection)
Synergistic indicator stacking (ZLEMA-smoothed momentum, ATR-based slope)
Position and equity tracking (not just signal-based plotting)
Intelligent risk control with take-profits, stop losses, cooldown, and max loss rules
An interactive dashboard that enhances usability and transparency
Every component has a distinct role in the system, and none are used as-is from public sources without modification or integration logic. The design follows a cohesive and rule-based structure for algorithmic execution.
⚠️ Disclaimer
This strategy is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves substantial risk, and past performance is not indicative of future results. Always backtest and forward-test before using on a live account. Use at your own risk.
📅 Backtest Range & Market Conditions Note
The performance results displayed for Fusion Sniper X are based on a focused backtest period from December 1, 2024 to May 10, 2025. This range was chosen intentionally due to the dynamic and volatile nature of cryptocurrency markets, where structural and behavioral shifts can occur rapidly. By evaluating over a shorter, recent time window, the strategy is tuned to current market mechanics and avoids misleading results that could come from outdated market regimes. This ensures more realistic, forward-aligned performance — particularly important for high-frequency systems operating on the 1-hour timeframe.
Stochastic RSI with MTF TableShort Description of the Script
The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers.
Key features of the script include:
Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20).
MTF Table: A table displays the Stochastic RSI status for each timeframe:
"OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise.
Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D).
Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity.
Table Position: Configurable to appear in one of four chart corners (default: top-right).
This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points.
Trading Strategy with 50EMA and 200EMA for Highest Winning Rate
To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy:
1. Determine the Overall Trend
Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross."
Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross."
Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions.
2. Identify Entry Signals Using the Stochastic RSI MTF Table
In a Bullish Trend (50EMA > 200EMA):
Look for timeframes in the MTF table showing:
Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound.
Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point.
Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal.
In a Bearish Trend (50EMA < 200EMA):
Look for timeframes in the MTF table showing:
Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward.
Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry.
Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal.
Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade).
3. Confirm Signals Across Multiple Timeframes
Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance:
Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal.
Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal.
Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability.
4. Set Stop-Loss and Take-Profit Levels
Long Trades (Bullish):
Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals.
Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance.
Short Trades (Bearish):
Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer.
Take-Profit: Target a key support level or apply a similar risk-reward ratio.
Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits.
5. Risk Management
Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals.
Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto).
Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups.
Example Scenario
Chart: 60-minute timeframe.
Trend: 50EMA > 200EMA (bullish).
MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N."
Action: Enter a long position when the 60m K line crosses above D, confirming the table signal.
Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry).
Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio.
Outcome: High probability of success due to trend alignment and multi-timeframe confirmation.
Why This Strategy Works
Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum.
Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing.
Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate.
Risk Control: Defined stop-loss and position sizing protect against inevitable losses.
Caveats
No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets.
Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe.
This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
AMA Alpha TrendKey Features
4 EMAs (20, 50, 100, 200) plotted in distinct colors
ATR-based Trend Line
Uses mid-price (HL/2) ± ATR × Multiplier
Automatically “steps” higher in up-trends and lower in down-trends
Colored green when bullish, red when bearish
Breakout Triangles
▲ Green triangle when price closes above the trend line → potential long entry
▼ Red triangle when price closes below the trend line → potential short entry
Continuation Dots
● Green dot under every bar that remains above the trend line (bullish continuation)
● Red dot above every bar that remains below the trend line (bearish continuation)
Inputs & Customization
ATR Length: look-back period for True Range (default 14)
ATR Multiplier: channel width factor (default 2.0)
EMA Periods: hard-coded to 20, 50, 100, 200 but can be modified in code
How to Use
Trend Identification
When the trend line turns green, the market is bullish.
When it turns red, the market is bearish.
Entries
Long: look for a ▲ green triangle (price crossing above the green trend line).
Short: look for a ▼ red triangle (price crossing below the red trend line).
Trend Following
Hold as long as continuation dots (●) keep appearing in the trend direction.
Exits & Stops
Consider exiting when the opposite breakout triangle appears.
Place stops just beyond the trend line or a multiple of ATR.
Why This Works
Combining multiple EMAs with a dynamically-sized ATR channel captures both the direction and strength of a move. Breakout triangles mark fresh trend initiations, while the tiny dots confirm that momentum is still intact.
Tip: Experiment with the ATR multiplier on different timeframes—lower values for tighter, more sensitive signals; higher for filtering out noise.
Frothy Oscillator📘 Description:
The Frothy Oscillator is a custom momentum tool designed to help identify periods of market acceleration, cooling, and potential macro turning points. It has been developed specifically for use on the Bitcoin chart and is optimized for the weekly timeframe. By smoothing key signals into a single view, it aims to offer a cleaner perspective on long-term market momentum.
⸻
⚠️ Disclaimer:
This script is for educational and informational purposes only. It is not financial advice. Always do your own research and consult a professional before making trading decisions.
Gap Reversal Signal with Indicators🔍 Gap Reversal Signal with Indicators — 結合 KD、MACD、SAR 與背離分析的多功能指標
🔍 Gap Reversal Signal with Indicators — A Multi-Tool Signal Indicator Combining KD, MACD, SAR, and Divergence Analysis
中文說明:
本指標結合多種常用技術分析工具,包括 KD 隨機指標、MACD 動能交叉、SAR 趨勢方向、以及 MACD 背離偵測,用以辨識潛在的價格反轉區域。適用於日內交易與波段操作,支援各類市場,如加密貨幣、股票與外匯等。
English Description:
This indicator combines several popular technical tools: Stochastic KD, MACD momentum crossovers, SAR trend direction, and MACD divergence detection. It helps traders identify potential reversal areas and is ideal for both intraday and swing trading. Works well on crypto, stocks, and forex markets.
🧠 功能特點 | Key Features
✅ KD指標(慢速隨機指標)檢測超買超賣並提供%K與%D交叉訊號
✅ Stochastic KD (slow) to detect overbought/oversold zones and crossover signals
✅ MACD金叉/死叉與零軸突破捕捉趨勢轉變與動能反轉
✅ MACD Crossovers + Zero-Line Breaks to capture trend changes and momentum reversals
✅ SAR指標即時顯示多空方向
✅ Parabolic SAR for real-time trend direction indication
✅ MACD背離偵測協助辨識潛在反轉區域
✅ MACD Divergence Detection for identifying hidden trend reversals
✅ 圖形提示與標籤提示可視化呈現各類訊號
✅ Visual Alerts and Labels for easy and quick signal recognition
📈 支援市場 | Supported Markets
📊 台股 / 美股 / 外匯 / 加密貨幣
📊 Taiwan Stocks / US Stocks / Forex / Cryptocurrencies (e.g. BTC, ETH)
🔧 推薦用法 | Recommended Use
搭配缺口策略與支撐壓力位使用
Use with gap-trading strategies and support/resistance zones
用於盤整末期或趨勢反轉的提示
Helpful for end-of-consolidation signals or trend reversals
支援短線與波段交易風格
Suitable for scalping and swing trading styles
💡 把這個指標加入你的圖表,立即體驗多重技術分析所帶來的交易優勢!
💡 Add this indicator to your chart now and experience the power of multi-tool technical analysis!
Institutional Zones By | DAY TRADING TACTICSThis indicator identifies potential institutional demand and supply zones based on price structure and volume. These zones often align with areas where institutions accumulate or distribute large orders.
✅ Features:
Detects Demand Zones (bullish institutional activity)
Detects Supply Zones (bearish institutional activity)
Customizable zone duration, volume filters, and colors
Alerts for new zones
Clean visuals with zone rectangles
Branded as "Day Trading Tactic
Golden Life Signal IAMarket Mapping & Flow Indicator
An advanced tool born from years of market study and real-world trading experience.
This indicator was meticulously developed to support traders who struggle with impulsive decisions and counter-trend trades. Designed to provide a clean, real-time overview of price behavior, it helps you stay aligned with the trend and avoid costly mistakes.
Key Features:
🔹 Real-Time Liquidity Points – Identify where the market is most likely to react.
🔹 Real-Time Support & Resistance Zones – Dynamic levels that adjust as price action evolves.
🔹 Flow Adaptive Moving Average – A customized moving average that adapts to market flow and trend shifts.
🔹 Multiple Moving Averages – Classic and customized MAs to offer layered confluence.
Available for a wide range of financial charts (Forex, crypto, stocks, indices), this tool is ideal for intraday traders and swing traders who want to stay in sync with the market structure.
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