RAHA Indicator📈 RAHA Indicator
Roni's Adjusted Hybrid Average
The indicator developed by Aaron Roni Pesach combines an innovative RAHA average - an adjusted hybrid average with smart trend analysis, using additional oscillators in a sophisticated way.
LONG and SHORT signals are given only when:
✅ Technical conditions confirm
✅ And the long-term trend is consistent
RAHA Indicator helps traders identify entry points while filtering out noise and market anomalies.
📈 RAHA Indicator
Roni's Adjusted Hybrid Average
האינדיקטור שפותח על ידי אהרון רוני פסח משלב ממוצע חדשני מסוג RAHA - ממוצע היברידי מתואם עם ניתוח מגמה חכם, באמצעות שימוש במתנדים נוספים באופן מתוחכם.
איתותי LONG ו‑SHORT ניתנים רק כאשר:
✅ התנאים הטכניים מאשרים
✅ והמגמה בטווח ארוך תואמת
RAHA Indicator מסייע לסוחרים לזהות נקודות כניסה תוך סינון רעשים וחריגות שוק.
震盪指標
Volume Exhaustion RSI Reversal StrategyKey Features:
Volume Logic:
1. Identifies two consecutive red bars (down periods) or green bars (up periods)
2. First down or up bars has the highest volume of the three
3. Volume decreases on the second down or up bars
4. Current (third) bar is green for up Reversal or red for down Reversal with higher volume than second bar
RSI Logic:
Uses standard 14-period RSI
Detects "V" shape pattern (decline, trough, rise)
Requires trough value <= 30 (oversold condition) or <= 70 (overbought condition)
Current bar shows RSI rising from trough
Execution:
Enters long/Short position when both volume and RSI conditions are met
Plots green "BUY/SELL" labels below the trigger candle
Visualization:
Green "BUY/SELL" labels appear below qualifying candles
Strategy positions shown in the strategy tester
How To Use:
Apply to any timeframe (works best on 5M-15M charts)
Combine with price action confirmation for example when candle 3 closes above candle 2 for "BUY" Or when Closes below for "SELL"
Ideal for oversold reversals in downtrends
Works best with volume-based assets
Note: The strategy enters at the close of the trigger candle. Always backtest before live trading and consider adding stop-loss protection.
RFM Strategy - High QualityI trade high-probability resistance fades using a systematic 4-pillar approach that has delivered a proven 60%+ win rate with 2.5+ profit factor."
📊 Core Strategy Elements:
1. VRF Resistance Identification:
Multiple resistance level confluence (minimum 2 levels)
Dynamic resistance zones using 20-period high/low ranges
Only trade when price approaches clustered resistance
2. Volume Weakness Confirmation:
Volume ROC must be ≤ -30% (weak buying pressure)
Identifies exhaustion rallies with poor participation
Confirms institutional selling vs retail buying
3. Momentum Divergence:
SMI ≥ 60 (extreme overbought) OR 25-point momentum collapse
Multi-timeframe confirmation for higher reliability
Catches momentum exhaustion at key levels
4. Price Rejection Patterns:
Long upper wicks (2x body size) at resistance
Doji formations showing indecision
Failed breakout patterns with immediate rejection
⚡ Execution:
Entry: Only when ALL 4 conditions align simultaneously
Risk Management: 6-point stops, 12-point targets (2:1 R/R minimum)
Timeframe: 5-minute charts for precise entries
Selectivity: Quality over quantity - average 5 trades per period
🏆 Performance:
60% win rate (matches manual trading performance)
2.59 Profit Factor (highly profitable)
Systematic approach eliminates emotional decisions
"This strategy automates the discretionary resistance fade setups that institutional traders use, with strict filters ensuring only the highest-probability opportunities."
ZYTX GKDDThe Zhiying Tianxia High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX CCI SuperTrendZhiYing CCI + SuperTrend Strategy
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
RAHA Indicator📈 RAHA Indicator
Roni's Adjusted Hybrid Average
The indicator developed by Aaron Roni Pesach combines an innovative RAHA average - an adjusted hybrid average with smart trend analysis, using additional oscillators in a sophisticated way.
LONG and SHORT signals are given only when:
✅ Technical conditions confirm
✅ And the long-term trend is consistent
RAHA Indicator helps traders identify entry points while filtering out noise and market anomalies.
📈 RAHA Indicator
Roni's Adjusted Hybrid Average
האינדיקטור שפותח על ידי אהרון רוני פסח משלב ממוצע חדשני מסוג RAHA - ממוצע היברידי מתואם עם ניתוח מגמה חכם, באמצעות שימוש במתנדים נוספים באופן מתוחכם.
איתותי LONG ו‑SHORT ניתנים רק כאשר:
✅ התנאים הטכניים מאשרים
✅ והמגמה בטווח ארוך תואמת
RAHA Indicator מסייע לסוחרים לזהות נקודות כניסה תוך סינון רעשים וחריגות שוק.
RAHA Strategy with Dynamic TP/SL + Volatility Filter
RAHA Indicator
RAHA – Roni's Adjusted Hybrid Average is a unique average that neutralizes outliers from a price series, in order to provide a more reliable and stable picture of the market trend.
💡 What makes it unique?
Unlike a regular average (like SMA), the RAHA indicator calculates the average only based on "normal" prices – while statistically filtering out outliers.
📈 Main uses:
Identifying a smooth trend over time
Reducing problematic market noise
Basis for smart trading strategies
RAHA Strategy – Roni's Adjusted Hybrid Average
The RAHA strategy is based on a smart average (RAHA – Roni's Adjusted Hybrid Average), which channels outliers from the historical price to create a more stable trend indication. It combines:
Average crossing – short SMA (10 days) versus long RAHA (20 days).
Strict filters – such as a positive RAHA slope, a positive market trend according to a 60-day moving average, and a monthly RSI rising or above 70.
Smart entry – only when there is high volatility (a significant gap between RAHA and SMA) or a green candle below the Bollinger band.
Dynamic stop – below the low of a descending candle sequence.
Profit target – set at 3 times the stop, but a trade is not closed at the TP but only according to additional specified conditions.
Smart exit conditions – such as a downward crossing of the SMA or breaking a previous low.
Multiple trade filtering – a time difference of at least 10 candles between trades.
The strategy aims to target trades only during times of a clear trend and high volatility, while reducing sensitivity to market noise and false trades.
אינדיקטור RAHA
RAHA – Roni's Adjusted Hybrid Average הוא ממוצע ייחודי שמנטרל ערכים חריגים מתוך סדרת מחירים (Outliers), במטרה לספק תמונה אמינה ויציבה יותר של מגמת השוק.
💡 מה מייחד אותו?
בניגוד לממוצע רגיל (כמו SMA), אינדיקטור RAHA מחשב את הממוצע רק על בסיס המחירים "הנורמליים" – תוך סינון סטטיסטי של חריגים.
📈 שימושים עיקריים:
זיהוי מגמה חלקה לאורך זמן
הפחתת רעשי שוק בעייתיים
בסיס לאסטרטגיות מסחר חכמות
אסטרטגיית RAHA – Roni's Adjusted Hybrid Average
אסטרטגיית RAHA מבוססת על ממוצע חכם (RAHA – Roni's Adjusted Hybrid Average), אשר מתעל ערכים חריגים מהמחיר ההיסטורי ליצירת אינדיקציה יציבה יותר למגמה. היא משלבת בין:
חציית ממוצעים – SMA קצר (10 ימים) לעומת RAHA ארוך (20 ימים).
פילטרים מחמירים – כמו שיפוע RAHA חיובי, מגמת שוק חיובית לפי ממוצע נע של 60 יום, ו‑RSI חודשי עולה או מעל 70.
כניסה חכמה – רק כאשר יש תנודתיות גבוהה (פער משמעותי בין RAHA ל‑SMA) או נר ירוק מתחת לרצועת בולינגר.
סטופ דינמי – מתחת לנמוך של רצף נרות יורדים.
יעד רווח – מוגדר לפי פי 3 מהסטופ, אך עסקה לא נסגרת ב‑TP אלא רק לפי תנאים נוספים שנקבעו.
תנאי יציאה חכמים – כמו חצייה כלפי מטה של SMA או שבירת שפל קודם.
סינון עסקאות מרובות – הפרש זמן של 10 נרות לפחות בין עסקאות.
האסטרטגיה שואפת למקד עסקאות רק בזמנים של מגמה מובהקת ותנודתיות גבוהה, תוך הפחתת רגישות לרעש שוק ועסקאות שווא.
🔁 EMA 3/21 Crossover Strategy — Exit on Opposite SignalEMA 3/21 Crossover Strategy — Exit on Opposite Signal
This strategy enters trades based on a crossover between two exponential moving averages:
Buy Entry: When the 3-period EMA crosses above the 21-period EMA
Sell Entry: When the 3-period EMA crosses below the 21-period EMA
Exit Rule: Positions are exited only when an opposite signal occurs (i.e., a new crossover in the other direction)
Key Features:
Designed for trend-following setups
Uses ATR-based SL/TP lines for visual reference only (trades do not auto-close at SL/TP)
Suitable for manual or automated trading logic with high trade clarity
Can be applied on any timeframe and any liquid instrument (Forex, crypto, indices, etc.)
Recommended Use:
Combine with volume or session filters for improved signal quality
Ideal for traders seeking clear entry/exit rules with minimal noise
Best on trending instruments and medium timeframes (USDJPY; Daily)
Keltner Channel + SMI 3-min with RVOLThis strategy is designed for active traders looking to capitalize on short-term price extremes in high-volume environments. Built on a 3-minute chart, it combines the precision of the Keltner Channel with the momentum insights of the Stochastic Momentum Index (SMI), while adding a volume-based filter to enhance the quality of trade signals.
The system aims to identify mean reversion opportunities by monitoring when price overextends beyond key volatility bands and aligns with deeply overbought or oversold momentum readings. However, it only triggers trades when relative volume is elevated, ensuring that signals are backed by significant market activity.
Long positions are initiated when price dips below the lower volatility band, momentum is deeply negative, and volume confirms interest.
Shorts are opened when price spikes above the upper band with overheated momentum and heavy participation.
Positions are exited once the momentum shifts back toward neutrality, helping to lock in gains on reversion.
The result is a tight, reactive strategy that avoids low-volume noise and aims to catch sharp reversals with strong participation. Ideal for SPY or other high-liquidity instruments, especially during peak market hours.
SG Multi Entry/Exit IndicatorThis strategy is based on an entry and an exit indicator that can be selected from a range of indicators.
The entry / exit indicators are standard Stochastic, MACD, RSI and MA indicators.
The graphs for each indicator are normalised to between 0 and 100 and displayed on above the other with buy and sell indicators.
The Strategy can be enabled / disabled via the inputs as can the date range as can whether to put a dummy sell signal in for the last trading day to give an accurate Mark to Market performance.
PRO Trading: CCI Grid Master### English
**Strategy Name:**
PRO Trading: CCI Grid Master
**Description:**
Modern grid trading strategy combining CCI and RSI indicators with intelligent position management. Features 5-level averaging, adaptive stop loss, and three take profit calculation methods. Optimized for lower timeframes (1-15 minutes) where signals are more frequent - higher timeframes generate fewer trading opportunities.
---
#### 🌟 Concept and Uniqueness
CCI Grid Master stands out with its:
- Confirmed entry signals (2+ for longs, 4+ for shorts)
- Exponential position scaling
- Three TP calculation methods
- Visual grid levels on chart
- Risk-managed approach
*Secret ingredient: Custom indicator periods and specialized false signal filtration system that significantly reduces bad entries.*
Unlike basic grid strategies, it implements:
1. Signal confirmation to reduce false entries
2. Smart volume management
3. Multi-layer capital protection
4. Professional risk controls
---
#### 💰 Value Proposition
- **Beginners**: Clear visualization and simple setup
- **Pros**: Advanced risk management controls
- **Algo Traders**: Consistent logic for automation
- **Risk Managers**: Built-in capital protection
Tested across various market conditions (trend, flat, volatile) with consistent results.
---
#### ⚙️ How It Works
**Signal Generation:**
- CCI + RSI combo with custom periods
- Long: CCI < -100 & RSI < 20
- Short: CCI > 100 & RSI > 80
- Signal confirmation (2+ signals/4 bars for longs, 4+ for shorts)
**Grid Mechanics:**
1. First entry (5% equity default)
2. 5 averaging levels at 1.8% intervals
3. Exponential volume scaling (1.6x multiplier)
**Position Management:**
- 3 TP methods:
1. From First Entry
2. From Average (updated on averaging)
3. Realtime Average
- Adaptive stop loss (80% from avg price)
- Opposite signal closing option
**Visuals:**
- Green/Red line: Average entry price (Green for long, Red for short)
- Blue line: Take profit level
- Purple line: Stop loss
- Gray circles: Averaging levels
---
#### 🛠 Setup & Usage
**Recommended Settings:**
```ini
First Entry %: 5.0
Volume Multiplier: 1.6
Grid Step: 1.8%
Profit Target: 1.0%
Stop Loss: 80%
```
**Timeframe Note:**
Optimal performance on 1-15 min charts. Higher timeframes (1H+) may generate fewer signals but offer higher reliability.
**Customization:**
- Conservative:
- Lower First Entry % (2-3%)
- Increase Stop Loss (100-120%)
- Use "Realtime Average" TP
- Aggressive:
- Increase Volume Multiplier (1.8-2.0)
- Reduce Grid Step (1.0-1.5%)
- Use "From First Entry" TP
---
#### ❓ FAQ
**Q:** Why 4 signals for shorts?
**A:** Our proprietary filtration system requires stronger confirmation for short entries to avoid false signals in volatile markets.
**Q:** How to choose TP method?
**A:**
- First Entry: Strong trends
- From Average: Balanced approach
- Realtime: Volatile/range-bound markets
**Q:** Why exponential volume scaling?
**A:** Mathematical approach to lower average entry price while controlling risk exposure.
**Q:** Crypto compatibility?
**A:** Excellent for volatile assets (BTC, ETH, LTC).
---
#### ⚠️ Risk Warning
1. Grid strategies carry higher risk - use risk capital only
2. Always backtest before live trading
3. Minimum account: $1000+ for proper scaling
4. Avoid low-liquidity instruments
5. Never risk >5% per trade
---
#### 💡 Conclusion
PRO Trading: CCI Grid Master delivers professional-grade trading with visual clarity and advanced risk management. Perfect for traders seeking systematic approaches in any market.
*Happy Trading with PRO Trading!*
**Default Settings:**
Optimized for 1-15min timeframes. For daily charts, increase grid step to 2.5%. For crypto, reduce grid step to 1.5% and increase stop loss to 100%.
### Русское описание (Russian Description)
**Название стратегии:**
PRO Trading: CCI Grid Master
**Описание:**
Современная сеточная стратегия, сочетающая индикаторы CCI и RSI с интеллектуальным управлением позицией. Особенности: 5 уровней усреднения, адаптивный стоп-лосс и три метода расчета тейк-профита. Оптимизирована для младших таймфреймов (1-15 минут) с более частыми сигналами - на старших таймфреймах торговых возможностей меньше.
---
#### 🌟 Концепция и уникальность
CCI Grid Master выделяется:
- Подтвержденными сигналами входа (2+ для лонга, 4+ для шорта)
- Экспоненциальным наращиванием позиции
- Тремя методами расчета TP
- Визуализацией уровней сетки
- Профессиональным управлением рисками
*Секретный ингредиент: Кастомные периоды индикаторов и специальная система фильтрации ложных сигналов, значительно снижающая неверные входы.*
В отличие от простых сеточных стратегий:
1. Фильтрация сигналов снижает ложные входы
2. Умное управление объемом позиций
3. Многоуровневая защита капитала
4. Профессиональный контроль рисков
---
#### 💰 Ценность
- **Новичкам**: Простота настройки и визуализация
- **Профи**: Гибкое управление рисками
- **Алготрейдерам**: Стабильная логика для автоматизации
- **Риск-менеджерам**: Встроенная защита депозита
Протестирована в различных рыночных условиях с устойчивыми результатами.
---
#### ⚙️ Как работает
**Генерация сигналов:**
- Комбинация CCI + RSI с кастомными периодами
- Лонг: CCI < -100 и RSI < 20
- Шорт: CCI > 100 и RSI > 80
- Подтверждение сигнала (2+ сигнала за 4 бара для лонга, 4+ для шорта)
**Механика сетки:**
1. Первый вход (5% от депозита)
2. 5 уровней усреднения с шагом 1.8%
3. Экспоненциальное увеличение объема (множитель 1.6х)
**Управление позицией:**
- 3 метода TP:
1. От первого входа
2. От средней цены (обновляется при усреднении)
3. От текущей средней цены (реалтайм)
- Адаптивный стоп-лосс (80% от средней цены)
- Опция закрытия при противоположном сигнале
**Визуализация:**
- Зеленая/Красная линия: Средняя цена входа (Зеленая для лонга, Красная для шорта)
- Синяя линия: Уровень тейк-профита
- Фиолетовая линия: Стоп-лосс
- Серые кружки: Уровни для усреднения
---
#### 🛠 Настройка и использование
**Рекомендуемые параметры:**
```
Процент первого входа: 5.0
Множитель объема: 1.6
Шаг сетки: 1.8%
Цель прибыли: 1.0%
Стоп-лосс: 80%
```
**Примечание по таймфреймам:**
Лучшие результаты на таймфреймах 1-15 минут. На старших таймфреймах (1H+) сигналов меньше, но выше надежность.
**Кастомизация:**
- Консервативно:
- Уменьшить процент входа (2-3%)
- Увеличить стоп-лосс (100-120%)
- Использовать "Realtime Average" TP
- Агрессивно:
- Увеличить множитель объема (1.8-2.0)
- Уменьшить шаг сетки (1.0-1.5%)
- Использовать "From First Entry" TP
---
#### ❓ FAQ
**В:** Почему для шорта нужно 4 сигнала?
**О:** Наша система фильтрации требует более сильного подтверждения для шортовых входов, чтобы избежать ложных сигналов на волатильном рынке.
**В:** Как выбрать метод TP?
**О:**
- От первого входа: Сильные тренды
- От средней цены: Сбалансированный подход
- Realtime Average: Волатильные/боковые рынки
**В:** Зачем экспоненциальное увеличение объема?
**О:** Математический подход к снижению средней цены входа при контроле риска.
**В:** Подходит для крипторынка?
**О:** Отлично работает на волатильных активах (BTC, ETH, LTC).
---
#### ⚠️ Предупреждение о рисках
1. Сеточные стратегии несут повышенный риск - используйте только риск-капитал
2. Всегда тестируйте на исторических данных
3. Минимальный депозит: $1000+
4. Избегайте низколиквидных активов
5. Риск на сделку не должен превышать 5%
---
#### 💡 Заключение
PRO Trading: CCI Grid Master - профессиональный инструмент с продвинутым управлением рисками. Идеально подходит для системной торговли на любом рынке.
*Удачных торгов с PRO Trading!*
---
**Параметры по умолчанию:**
Оптимизированы для таймфреймов 1-15 мин. Для дневных графиков увеличьте шаг сетки до 2.5%. Для крипторынка уменьшите шаг до 1.5% и увеличьте стоп-лосс до 100%.
MARSdx BTCUSD Strategy🔍 Strategy Overview
The MARSdx Strategy is a hybrid trend-following and momentum-based system designed specifically for Bitcoin trading(works also on other Crypto like ETHUSD). It combines four technical indicators—SMA, EMA, RSI, and ADX—to filter high-probability long entries during strong bullish phases.
✅ Entry Conditions
Price above SMA(50) → confirms long-term bullish trend
Price above EMA(7) → confirms short-term momentum
RSI(2) > ADX(2) → confirms strong bullish pressure
Only when all three conditions are met, a long position is opened.
❌ Exit Condition
RSI(2) < ADX(2) → momentum weakens, exit position
📊 Indicators Used
SMA (Simple Moving Average) – identifies overall trend
EMA (Exponential Moving Average) – captures short-term momentum
RSI (Relative Strength Index) – gauges strength of price movement
ADX (Average Directional Index) – filters based on trend strength
⚙️ Inputs
SMA Length: Default 50
EMA Length: Default 7
RSI Length: Default 2
ADX Length: Default 2
You can tweak these parameters to suit other timeframes or crypto assets.
⚠️ This strategy only takes long trades. It does not use any stop-loss or profit target logic and should be combined with sound risk management.
TRUMP Box with RSI Div(Dynamic Adjustment + MA + Long)Strategy Overview: Box Range with RSI Divergence (Dynamic Adjustment - OKX Signal Format)
This Pine Script strategy, "TRUMP Box with RSI Div (Dynamic Adjustment + MA + Long)", is designed for trading within a box range while leveraging RSI divergences and moving average trends. It is optimized for use with OKX signal credentials and integrates TradingView alerts for automated trading.
Bitcoin Momentum Strategy RSI(5) > 70This script implements a momentum-based Bitcoin strategy using a single indicator: RSI (Relative Strength Index). The logic is simple yet powerful: it enters a long trade when RSI crosses above a certain threshold, signaling strength, and exits when momentum weakens.
🔍 How It Works
Buy Entry: RSI crosses above the Overbought Level (default: 70) and no position is open.
Exit: RSI drops back below the Overbought Level.
This strategy is designed to ride short-term bullish momentum on the 1D timeframe for BTCUSD.
All logic is handled using Pine Script v5 with fully adjustable input parameters.
🛠 Customizable Inputs
RSI Period: default 5
Overbought Level: default 70 (entry/exit trigger)
Oversold Level: default 30 (used for visual cues)
📊 Visual Enhancements
RSI line is green above Overbought (bullish), red below Oversold (bearish), and yellow in between.
Overbought/Oversold zones are marked with dotted lines and subtle background fill for easy chart reading.
⚠️ This strategy only takes long trades. It does not use any stop-loss or profit target logic and should be combined with sound risk management.
OBV ATR Strategy (OBV Breakout Channel) bas20230503ผมแก้ไขจาก OBV+SMA อันเดิม ของเดิม ดูที่เส้น SMA สองเส้นตัดกันมั่นห่วยแตกสำหรับที่ผมลองเทรดจริง และหลักการเบรค ได้แรงบันดาลใจ ATR จาก เทพคอย ที่ใช้กับราคา แต่นี้ใช้กับ OBV แทน
และผมใช้เจมินี้ เพื่อแก้ ให้ เป็น strategy เพื่อเช็คย้อนหลังได้ง่ายกว่าเดิม
หลักการง่ายคือถ้ามันขึ้น มันจะขึ้นเรื่อยๆ
เขียน แบบสุภาพ (น่าจะอ่านได้ง่ายกว่าผมเขียน)
สคริปต์นี้ได้รับการพัฒนาต่อยอดจากแนวคิด OBV+SMA Crossover แบบดั้งเดิม ซึ่งจากการทดสอบส่วนตัวพบว่าประสิทธิภาพยังไม่น่าพอใจ กลยุทธ์ใหม่นี้จึงเปลี่ยนมาใช้หลักการ "Breakout" ซึ่งได้รับแรงบันดาลใจมาจากการใช้ ATR สร้างกรอบของราคา แต่เราได้นำมาประยุกต์ใช้กับ On-Balance Volume (OBV) แทน นอกจากนี้ สคริปต์ได้ถูกแปลงเป็น Strategy เต็มรูปแบบ (โดยความช่วยเหลือจาก Gemini AI) เพื่อให้สามารถทดสอบย้อนหลัง (Backtest) และประเมินประสิทธิภาพได้อย่างแม่นยำ
หลักการของกลยุทธ์: กลยุทธ์นี้ทำงานบนแนวคิดโมเมนตัมที่ว่า "เมื่อแนวโน้มได้เกิดขึ้นแล้ว มีโอกาสที่มันจะดำเนินต่อไป" โดยจะมองหาการทะลุของพลังซื้อ-ขาย (OBV) ที่แข็งแกร่งเป็นพิเศษเป็นสัญญาณเข้าเทร
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สคริปต์นี้เป็นกลยุทธ์ (Strategy) ที่ใช้ On-Balance Volume (OBV) ซึ่งเป็นอินดิเคเตอร์ที่วัดแรงซื้อและแรงขายสะสม แทนที่จะใช้การตัดกันของเส้นค่าเฉลี่ย (SMA Crossover) ที่เป็นแบบพื้นฐาน กลยุทธ์นี้จะมองหาการ "ทะลุ" (Breakout) ของพลัง OBV ออกจากกรอบสูงสุด-ต่ำสุดของตัวเองในรอบที่ผ่านมา
สัญญาณกระทิง (Bull Signal): เกิดขึ้นเมื่อพลังการซื้อ (OBV) แข็งแกร่งจนสามารถทะลุจุดสูงสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาขึ้น
สัญญาณหมี (Bear Signal): เกิดขึ้นเมื่อพลังการขาย (OBV) รุนแรงจนสามารถกดดันให้ OBV ทะลุจุดต่ำสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาลง
ส่วนประกอบบนกราฟ (Indicator Components)
เส้น OBV
เส้นหลัก ที่เปลี่ยนเขียวเป็นแดง เป็นทั้งแนวรับและแนวต้าน และ จุด stop loss
เส้นนี้คือหัวใจของอินดิเคเตอร์ ที่แสดงถึงพลังสะสมของ Volume
เมื่อเส้นเป็นสีเขียว (แนวรับ): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดกระทิง" เส้นนี้คือระดับต่ำสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวรับไดนามิก
เมื่อเส้นกลายเป็นสีแดงสีแดง (แนวต้าน): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดหมี" เส้นนี้คือระดับสูงสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวต้านไดนามิก
สัญลักษณ์สัญญาณ (Signal Markers):
Bull 🔼 (สามเหลี่ยมขึ้นสีเขียว): คือสัญญาณ "เข้าซื้อ" (Long) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุขึ้นไปเหนือกรอบด้านบนเป็นครั้งแรก
Bear 🔽 (สามเหลี่ยมลงสีแดง): คือสัญญาณ "เข้าขาย" (Short) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุลงไปต่ำกว่ากรอบด้านล่างเป็นครั้งแรก
วิธีการใช้งาน (How to Use)
เพิ่มสคริปต์นี้ลงบนกราฟราคาที่คุณสนใจ
ไปที่แท็บ "Strategy Tester" ด้านล่างของ TradingView เพื่อดูผลการทดสอบย้อนหลัง (Backtest) ของกลยุทธ์บนสินทรัพย์และไทม์เฟรมต่างๆ
ใช้สัญลักษณ์ "Bull" และ "Bear" เป็นตัวช่วยในการตัดสินใจเข้าเทรด
ข้อควรจำ: ไม่มีกลยุทธ์ใดที่สมบูรณ์แบบ 100% ควรใช้สคริปต์นี้ร่วมกับการวิเคราะห์ปัจจัยอื่นๆ เช่น โครงสร้างราคา, แนวรับ-แนวต้านของราคา และการบริหารความเสี่ยง (Risk Management) ของตัวคุณเองเสมอ
การตั้งค่า (Inputs)
SMA Length 1 / SMA Length 2: ใช้สำหรับพล็อตเส้นค่าเฉลี่ยของ OBV เพื่อดูเป็นภาพอ้างอิง ไม่มีผลต่อตรรกะการเข้า-ออกของ Strategy อันใหม่ แต่มันเป็นของเก่า ถ้าชอบ ก็ใช้ได้ เมื่อ SMA สองเส้นตัดกัน หรือตัดกับเส้น OBV
High/Low Lookback Length: (ค่าพื้นฐาน30/แก้ตรงนี้ให้เหมาะสมกับ coin หรือหุ้น ตามความผันผวน ) คือระยะเวลาที่ใช้ในการคำนวณกรอบสูงสุด-ต่ำสุดของ OBV
ค่าน้อย: ทำให้กรอบแคบลง สัญญาณจะเกิดไวและบ่อยขึ้น แต่อาจมีสัญญาณหลอก (False Signal) เยอะขึ้น
ค่ามาก: ทำให้กรอบกว้างขึ้น สัญญาณจะเกิดช้าลงและน้อยลง แต่มีแนวโน้มที่จะเป็นสัญญาณที่แข็งแกร่งกว่า
แน่นอนครับ นี่คือคำแปลฉบับภาษาอังกฤษที่สรุปใจความสำคัญ กระชับ และสุภาพ เหมาะสำหรับนำไปใช้ในคำอธิบายสคริปต์ (Description) ของ TradingView ครับ
---Translate to English---
OBV Breakout Channel Strategy
This script is an evolution of a traditional OBV+SMA Crossover concept. Through personal testing, the original crossover method was found to have unsatisfactory performance. This new strategy, therefore, uses a "Breakout" principle. The inspiration comes from using ATR to create price channels, but this concept has been adapted and applied to On-Balance Volume (OBV) instead.
Furthermore, the script has been converted into a full Strategy (with assistance from Gemini AI) to enable precise backtesting and performance evaluation.
The strategy's core principle is momentum-based: "once a trend is established, it is likely to continue." It seeks to enter trades on exceptionally strong breakouts of buying or selling pressure as measured by OBV.
Core Concept
This is a Strategy that uses On-Balance Volume (OBV), an indicator that measures cumulative buying and selling pressure. Instead of relying on a basic Simple Moving Average (SMA) Crossover, this strategy identifies a "Breakout" of the OBV from its own highest-high and lowest-low channel over a recent period.
Bull Signal: Occurs when the buying pressure (OBV) is strong enough to break above its own recent highest high, indicating a potential shift to an upward trend.
Bear Signal: Occurs when the selling pressure (OBV) is intense enough to push the OBV below its own recent lowest low, indicating a potential shift to a downward trend.
On-Screen Components
1. OBV Line
This is the main indicator line, representing the cumulative volume. Its color changes to green when OBV is rising and red when it is falling.
2. Dynamic Support & Resistance Line
This is the thick Green or Red line that appears based on the strategy's current "mode." This line serves as a dynamic support/resistance level and can be used as a reference for stop-loss placement.
Green Line (Support): Appears when the strategy enters "Bull Mode." This line represents the lowest low of the OBV in the recent past and acts as dynamic support.
Red Line (Resistance): Appears when the strategy enters "Bear Mode." This line represents the highest high of the OBV in the recent past and acts as dynamic resistance.
3. Signal Markers
Bull 🔼 (Green Up Triangle): This is the "Long Entry" signal. It appears at the moment the OBV first breaks out above its high-low channel.
Bear 🔽 (Red Down Triangle): This is the "Short Entry" signal. It appears at the moment the OBV first breaks down below its high-low channel.
How to Use
Add this script to the price chart of your choice.
Navigate to the "Strategy Tester" panel at the bottom of TradingView to view the backtesting results for the strategy on different assets and timeframes.
Use the "Bull" and "Bear" signals as aids in your trading decisions.
Disclaimer: No strategy is 100% perfect. This script should always be used in conjunction with other forms of analysis, such as price structure, key price-based support/resistance levels, and your own personal risk management rules.
Inputs
SMA Length 1 / SMA Length 2: These are used to plot moving averages on the OBV for visual reference. They are part of the legacy logic and do not affect the new breakout strategy. However, they are kept for traders who may wish to observe their crossovers for additional confirmation.
High/Low Lookback Length: (Most Important Setting) This determines the period used to calculate the highest-high and lowest-low OBV channel. (Default is 30; adjust this to suit the asset's volatility).
A smaller value: Creates a narrower channel, leading to more frequent and faster signals, but potentially more false signals.
A larger value: Creates a wider channel, leading to fewer and slower signals, which are likely to be more significant.
RSI Divergence StrategyOverview
The RSI Divergence Strategy Indicator is a trading tool that uses the RSI and divergences created to generate high-probability buy and sell signals.
I have provided the best formula of numbers to use for BTC on a 30 minute timeframe.
You can change where on RSI you enter and exit both long or short trades. This way you can experiment on different tokens using different entry/exit points. Can use on multiple timeframes.
This strategy is designed to open and close long or short trades based on the levels you provide it. You can then check on the RSI where the best levels are for each token you want to trade and amend it as required to generate a profitable strategy.
How It Works
The RSI Divergence Strategy Indicator uses bear and bull divergences in conjuction with a level you have input on the RSI.
RSI for Overbought/Oversold:
• Input variables for entry and exit levels and when the entry levels combine with a bear or bull divergence signal, a trade is alerted.
RSI Divergence:
• Buy and sell signals are confirmed when the RSI creates bearish or bullish divergences and these divergences are in the same area as your levels you input for entry to short or long.
After 7 years of experience and testing I have calculated the exact numbers required and produced a formula to calculate the exact input variables for a 30 minute Bitcoin chart.
Key Features
1️⃣ Divergence Identification – Ensures trades are taken only when a bull or bear divergence has formed.
2️⃣ Overbought/Oversold Input Filtering – Set up your own variables on the RSI for different markets after identifying patterns on the RSI in relation to a bearish or bullish divergence.
3️⃣ Works on any chart – Suitable for all markets and timeframes once you input the correct variables for entry and exit levels.
How to Use
🟢 Basic Trading:
• Use on any timeframe.
• Enter trade only when alert has fired off. Close when it says to exit.
• Change entry and exit levels in the properties of the strategy indicator.
• Make entry and exit levels coincide with bearish or bullish divergences on the RSI.
Check the strategy tester to see backtesting so you know if the indicator is profitable or not for that market and timeframe as each crypto token is different and so is the timeframe you choose.
📢 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Key additions for divergence visualization:
Divergence Arrows:
Bullish divergence: Green label with white 'bull ' text
Bearish divergence: Red label with white 'bear' text
Positioned at the pivot point
Divergence Lines:
Connects consecutive RSI pivot points
Automatically drawn between consecutive pivot points
Enhanced RSI Coloring:
Overbought zone: Red
Oversold zone: Green
Neutral zone: Gray
The visualization helps you instantly spot:
Where divergences are forming on the RSI
The pattern of higher lows (bullish) or lower highs (bearish)
Contextual coloring of RSI relative to standard levels
All divergence markers appear at the correct historical pivot points, making it easy to visually confirm divergence patterns as they develop.
Strategy levels and background zones also shown to help visual look.
Why This Combination?
This indicator is just a simple RSI tool.
It is designed to filter out weak trades and only execute trades that have:
✅ RSI Divergence
✅ Overbought or Oversold Conditions
It does not calculate downtrends or bear markets so care is recommended taking long trades during these times.
Why It’s Worth Using?
📈 Open Source – Free to use and learn from.
📉 Long or Short Term Trading Style – Entry/Exit parameters options are designed for both short or long term trades allowing you to experiment until you find a profitable strategy for that market you want to trade.
📢 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
💲 Ready to trade smarter?
✅ Add the RSI Divergence Strategy Indicator to your TradingView chart.
DVPOOverview
The DVPO (Dynamic Volume Profile Oscillator) Strategy is a comprehensive and highly customizable trading tool designed for precision and control. It is built around a unique, volume-driven oscillator that identifies potential market entries by analyzing the relationship between price, volume, and volatility.
This strategy is not just another signal generator; it's a complete framework that includes dynamic entry logic, adaptive risk management (ATR Stop Loss and R:R-based Take Profit), and a powerful dashboard of 10+ optional confirmation filters to help you tailor the strategy to your specific instrument, timeframe, and trading style.
The Core Concept: The DVPO Oscillator
The heart of this strategy is the DVPO oscillator. Unlike standard oscillators like RSI or Stochastics, the DVPO's primary goal is to quantify how far the current price has deviated from its recent volume-weighted "fair value."
Here’s how it works conceptually:
Micro Volume Profile: The indicator first analyzes a recent period of bars (defined by Lookback Period) to build a mini-profile of price and volume.
Volume-Weighted Mean: From this profile, it calculates a volume-weighted average price (VWAP) and the average deviation from that mean. This establishes the central point of value for the recent period.
Deviation Measurement: The oscillator's value is derived from how far the current price is from this calculated mean, scaled by the observed price deviation and a user-defined Sensitivity. A value above the midline suggests the price is trading at a premium, while a value below suggests it's at a discount.
Adaptive Volatility Zones: Instead of using fixed overbought/oversold levels (e.g., 70/30), the DVPO calculates dynamic upper and lower zones using the standard deviation of the oscillator itself. These zones expand and contract based on recent market volatility.
An entry signal is triggered not just when the oscillator is "overbought" or "oversold," but when it breaks out of these adaptive volatility zones, signaling that a statistically significant price movement is underway.
📈 Long Entry Condition : The oscillator crosses above the dynamic upper zone.
📉 Short Entry Condition : The oscillator crosses below the dynamic lower zone.
Integrated Risk & Trade Management
A signal is useless without proper risk management. This strategy has professional-grade risk management built directly into its logic.
Stop Loss (ATR-Based): The Stop Loss is not a fixed percentage. It is calculated using the Average True Range (ATR), allowing it to adapt automatically to the market's current volatility. In volatile periods, the stop will be wider; in quiet periods, it will be tighter.
Take Profit (Risk/Reward Ratio): The Take Profit level is calculated based on a user-defined Risk/Reward Ratio. If you set a ratio of 2.0, the Take Profit target will be placed at twice the distance of the Stop Loss from your entry price.
Dynamic Position Sizing: The strategy can automatically calculate the trade quantity for you. It determines the position size based on your specified Capital Size and the % Risk Per Trade you are willing to accept, ensuring disciplined risk control on every trade.
The Filter Dashboard : Enhance Your Signal Quality
To help reduce false signals and adapt to different market conditions, the strategy includes a comprehensive dashboard of optional confirmation filters. An entry signal will only be executed if it aligns with all the filters you have activated.
Trend & Momentum Filters :
T3, VMA, & VWAP Trend Filters: Utilize a suite of advanced moving averages (T3, Variable Moving Average, and a session-based VWAP) to ensure your trades are aligned with the dominant trend.
ADX Filter: Confirms that the market has sufficient directional strength for a trend-following trade, helping to avoid entries during choppy conditions.
Kaufman Efficiency Filter: Uses the Kaufman Efficiency Ratio to measure market noise. It only allows trades when the market is trending efficiently.
Volume & Market State Filters :
Volume Flow (VFI): A sophisticated volume-based filter that confirms whether volume is supporting the price move.
TDFI (Trader's Dynamic Index): A market state indicator designed to identify when the market is primed for a strong, directional move.
Flat Market Detector: A unique filter that identifies and avoids trading in sideways or ranging markets where trend strategies typically underperform.
Trade Condition Filters :
Min TP / Max SL %: Filter out trades where the risk/reward profile doesn't meet your minimum requirements (e.g., ignore a trade if the ATR-based stop loss is more than 10% away from the price).
Session Filters: Allows you to enable or disable trading on specific days of the week and to set a Cooldown Period (a set number of bars to wait after a trade closes before looking for a new entry).
How To Use This Strategy
Start with the Core: Begin by configuring the DVPO Oscillator settings (Lookback Period, Sensitivity, Zone Width) and your Risk Management parameters (ATR Multiplier, RR Ratio, % Risk Per Trade). These form the foundation of the strategy.
Backtest and Observe: Use TradingView's Strategy Tester to see how the core signals perform on your chosen asset and timeframe.
Layer Filters Intelligently: Enable the confirmation filters one by one and re-run your backtest. Observe how each filter impacts performance (e.g., does the T3 filter increase profitability but reduce the number of trades?). The goal is to find the optimal balance between signal quality and frequency.
Visualize and Analyze: Use the Show Risk/Reward Area option to plot your entry, stop loss, and take profit levels directly on the chart for every trade, providing a clear visual representation of your trade plan.
Disclaimer: This strategy is provided for educational and analytical purposes only. Past performance is not indicative of future results. All trading involves risk, and you should conduct your own thorough backtesting and analysis before deploying any strategy in a live market.
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter
Overview:
This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals.
How It Works:
1. Signal Initiation (e.g., 5-Minute Timeframe):
Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30).
Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe.
2. Signal Confirmation (15-Minute Timeframe):
Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars).
Long Confirmation:
The 15-minute Stochastic RSI %K must be greater than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40).
Short Confirmation:
The 15-minute Stochastic RSI %K must be less than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60).
3. Filters:
ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold.
Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading.
4. Entry and Exit Logic:
Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met.
Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script.
Key User-Adjustable Parameters:
Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing.
Signal Trigger & Confirmation:
5-minute %K trigger levels for long and short.
15-minute %K confirmation thresholds for long and short.
Wait window (in 5-minute bars) for 15-minute confirmation.
Filters:
Enable/disable and configure the Signal Cooldown filter (minimum bars between signals).
Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks).
Strategy Parameters:
Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks).
Recommendations for Users:
Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade.
Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions.
Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals.
Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable.
Disclaimer:
This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
TrendMaster Pro 2.3 with Alerts
Hello friends,
A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system:
Core Strategy Components
Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers
Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction
Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones
Advanced Signal Filtering
Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width
RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction
MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction
Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels
ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold
Session-Based Trading Management
Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00)
Individual Session Limits - Separate maximum trade counts for each session (default 5 per session)
Automatic Session Closure - All positions close at specified market close time
Risk Management Features
Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods
Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2)
Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range)
Daily Limits - Stop trading after reaching specified TP or SL counts per day
Support & Resistance System
Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations
Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels
Historical Levels - Configurable number of past S/R levels to display
Visual Customization - Individual color and display settings for each S/R level
Additional Features
Alert System - Customizable buy/sell alert messages with once-per-bar frequency
Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas
Session Highlighting - Optional background colors for different trading sessions
Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution
This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions.
Good luck and stay safe!
PRO Trading Averaging Beta(v1)Adaptive Position Scaling
Automatically increases position size during pullbacks using exponential volume scaling (1x, 2x, 4x, etc.). This reduces average entry cost and accelerates breakeven when price reverses.
Multi-Timeframe Confirmation
All indicators operate on a higher timeframe (120 minutes), providing:
Noise-filtered signals
Stronger trend alignment
Reduced false entries
Triple-Layer Entry Logic
Requires simultaneous confluence of:
Custom Bollinger Band penetration
RSI oversold filter (above critical threshold)
Golden cross confirmation (fast MA > slow MA)
Volatility assessment via ATR
Intelligent Exit System
Position closure triggers when either:
Fixed profit target (% of account) is reached
Technical boundary (upper Bollinger Band) is touched
⚙️ Core Mechanics:
graph LR
A --> B
B --> C{Initial Entry: 1% capital}
C --> D
D -->|Yes| E
D -->|No| F
E --> G{Max Averaging Levels?}
G -->|No| D
G -->|Yes| H
F --> I
📊 Implementation Guide:
Capital Configuration
Set initial_capital to your actual account size
Calculate base contract size:
(Account Size × 0.01) / (Instrument Price × Point Value)
Example: $10,000 account → 0.01 BTC futures contracts
Pyramiding Structure
Volume progression per averaging level:
Level 1: 1× (Base volume)
Level 2: 2×
Level 3: 4×
Level 4: 8×
Level 5: 16×
Level 6: 32×
(Max 6 levels configurable in strategy settings)
Custom Entry Variations
Alternative approach for swing captures:
// Enter only at 3rd averaging with 5% capital
if averaging_condition and strategy.opentrades == 2
strategy.entry("SwingEntry", strategy.long, qty=base_order_size*5)
Risk Management Protocol
No traditional stop-loss (replaced by averaging)
Break-even trigger: Manually move to breakeven at +0.5% profit
Max exposure: Capped at 6 averaging levels
Commissions: Pre-configured at 0.1% per trade
⚠️ Critical Risk Disclosures:
"Past Performance ≠ Future Results"
Historical optimization requires continuous forward testing ("Walk Forward" in TV).
Pyramiding Hazards
Exponential volume growth demands:
Minimum 20% free margin buffer
High liquidity instruments (spread < 0.5% of ATR)
Strict per-level risk calculation
Market Regime Dependence
Peak efficiency during:
Strong trends with 2-4% retracements
Assets with ATR > 1.5% of daily range
Avoid ranging/low-volatility conditions
💡 Pro Usage Recommendations:
Position Sizing Formula
For futures: Contracts = (Capital × Risk %) / (Entry Price × Point Value × Stop Distance)
Profit Protection
Close 50% position at 50% profit target, trail remainder
Event Safety
Disable averaging during:
High-impact news events
Exchange outages
Abnormal volume spikes
pie
title Risk Allocation per Level
“First Entry” : 12
“Level 2” : 18
“Level 3” : 25
“Level 4” : 45
ESSENTIAL: This strategy demands strict discipline. Terminate averaging when price action deviates from expected patterns. Always maintain reserve capital exceeding maximum drawdown requirements. Regularly validate strategy performance against current market dynamics.
🔥 Уникальные особенности и ценность:
Адаптивное усреднение
Стратегия автоматически увеличивает позицию при движении против вас, используя экспоненциальное наращивание объема (1x, 2x, 4x и т.д.). Это снижает среднюю цену входа и ускоряет выход в прибыль при развороте.
Мультитаймфреймная фильтрация
Все индикаторы работают на старшем таймфрейме (120 минут), что:
Фильтрует рыночный шум
Обеспечивает более надежные сигналы
Синхронизируется с глобальным трендом
Комбинированный триггер входа
Для активации требуется одновременное выполнение 4 условий:
Пробитие кастомной полосы Боллинджера
Подтверждение тренда (быстрая MA > медленной MA)
Контроль перепроданности (RSI выше критического уровня)
Фильтр волатильности (ATR)
Двойной механизм выхода
Закрытие позиций происходит при:
Достижении целевого уровня прибыли (% от депозита)
Техническом сигнале (касание верхней полосы Боллинджера)
⚙️ Как работает стратегия:
graph TD
A --> B
B --> C{Первый вход: 1% депозита}
C --> D
D -->|Да| E
D -->|Нет| F
E --> G{Достигнут лимит усреднений?}
G -->|Нет| D
G -->|Да| H
F --> I
📊 Как пользоваться:
Стартовые настройки
Base Order Size: Стартовый объем = 1% депозита
(Пример: при $10 000 депозита = 0.01 контракта)
initial_capital: Укажите ваш реальный депозит
Правила пирамидинга
Объем наращивается по схеме:
Уровень 1: 1x (базовый объем)
Уровень 2: 2x
Уровень 3: 4x
Уровень 4: 8x
Уровень 5: 16x
Уровень 6: 32x
РЕКОМЕНДУЕТСЯ Максимум 6 уровней усреднения (настраивается в pyramiding)
Кастомизация входов
Пример модификации для агрессивной тактики:
// Вход только на 3-м усреднении с 5% депозита
if averaging_condition and strategy.opentrades == 2
strategy.entry("BuyAggressive", strategy.long, qty=base_order_size*5)
Можно поставить параметр пираммидинг 1 и получать больше сигналов на младших тайм фреймах
Управление рисками
Стоп-лосс: Не используется (заменен усреднением)
Перевод в безубыток: Активируйте вручную при +0.5%
Максимальная просадка: Рекомендуется Ограничивать 6 уровнями усреднения
Комиссии: Учтены (0.1% от объема сделки)
Критические предупреждения:
"Вчера ≠ Сегодня"
Стратегия оптимизирована под историческую волатильность. Регулярно тестируйте на новых данных (режим "Перед тест" в TV).
Опасность усреднения
Экспоненциальный рост объема требует:
Глубокого расчета риска на уровень
Минимум 20% свободного маржи
Ликвидный инструмент (спред < 0.5% от ATR)
Рыночные условия
Максимальная эффективность в:
Трендовых рынках с коррекциями 2-4%
Инструментах с ATR > дневного диапазона 1.5%
💡 Рекомендации по использованию:
Для фьючерсов: Рассчитайте контракты через (капитал * 0.01) / (цена * пункт_стоимости)
При 50% достижении цели прибыли - закройте 50% позиции
Отключайте усреднение при выходе макро-новостей
pie
title Распределение риска
"Первый вход" : 10
"Уровень 2" : 20
"Уровень 3" : 30
"Уровень 4" : 40
ВАЖНО: Эта стратегия требует дисциплины! Прекращайте усреднение при отклонении рынка от исторических паттернов. Всегда имейте резервный капитал для экстренных случаев.
Strategy Builder With IndicatorsThis strategy script is designed for traders who enjoy building systems using multiple indicators.
Please note: This script does not include any built-in indicators. Instead, it works by referencing the plot outputs of the indicators you’ve already added to your chart.
For example, if you add a MACD and an ATR indicator to your chart, you can assign their plot values as inputs in the settings panel of this strategy.
• MACD as a trigger
• ATR as a filter
How Filters Work
Filters check whether certain conditions are met before a trade can be opened. For instance, if you set a filter like ATR > 30, then no trade will be executed unless that condition is true — even if the trigger fires.
All filters are linked, meaning every active filter must be satisfied for a trade to occur.
How Triggers Work
Triggers are what actually fire a trade signal — such as a moving average crossover or RSI breaking above a specific level. Unlike filters, triggers are independent. Only one active trigger needs to be true for the trade to execute.
Thanks to its modular structure, this strategy can be used with any indicator of your choice.
⸻
Risk Management Features
In the settings, you’ll find flexible options for:
• Stop Loss (SL)
• Trailing Stop Loss (TSL)
• Multi Take-Profit (TP)
These features enhance trade safety and let you tailor your risk management.
SL types available:
• Tick-based SL
• Percent-based SL
• ATR-based SL
Once you select your preferred SL type, you can fine-tune its distance using the offset field.
Trailing SL allows your stop to follow price as it moves in your favor — helping to lock in profits.
Multi-TP lets you take profits at two different levels, helping you secure gains while leaving room for extended moves.
Breakeven option is also available to automatically move your SL to entry after reaching a profit threshold.
⸻
How to Build a Solid Strategy
Let’s break down a good setup into three key components:
1. Trend Filter
Avoid trading against the trend — that’s like swimming against the current.
Use a filter like:
• Supertrend
• Momentum indicators
• Candlestick bias, etc.
Example: In this case, I used Supertrend and filtered for trades only if the price is above the uptrend line.
2. Trigger Condition
Once we confirm the trend is on our side, we need a trigger to execute at the right moment. This can be:
• RSI cross
• Candlestick patterns
• Trendline breaks
• Moving average crossovers, etc.
Example: I used RSI crossing above 50 as the entry trigger.
3. Risk Management
Even in the right trend at the right time — anything can happen. That’s why you should always define Stop Loss and Take Profit levels.
⸻
And there you have it! Your strategy is ready to backtest, refine, and deploy with alerts for live trading.
Questions or suggestions? Feel free to reach out