TSLA 5min Trend Strategy: MACD + Slow StochasticsThis intraday strategy combines MACD (12, 26, 9) and Slow Stochastics (14, 3, 3) to identify trend-confirmed entries on TSLA 5-minute charts.
**Entry Condition**:
MACD line crosses above signal line **AND** %K crosses above %D while both are below 80.
**Exit Condition**:
MACD crosses below the signal line **OR** %K crosses below %D while both are above 80.
This strategy is most effective in trending markets.
- **Win Rate**: 50%
- **Profit Factor**: 1.86
- **Total P&L**: +$224K over 58 trades
Indicadores e estratégias
EMA 5/9 Crossover Strategy (Alternative)The MA Crossover 5/9 indicator brings you fast-moving signals using the crossover of the 5-period and 9-period moving averages — a classic, time-tested strategy.
Smart Trader Bot V0.5All-in-One Configurable Strategy – UT Bot + STC with Smart Position Management
This invite-only strategy combines proven indicators and unique filtering logic to offer a powerful, rules-based approach to trend trading. Designed for versatility across various markets and timeframes, it’s built to give traders full control over entries, exits, and risk logic.
⚙️ Core Logic
Primary Entry : UT Bot signal engine
Trend Confirmation : Schaff Trend Cycle (STC)
Optional Filters :
MA Cross (choose from 17 types)
Trend Breakout Filter
McGinley Dynamic Filter
🧩 Position Management Features
Stop Loss Options: ATR-based, Swing High/Low, Fixed %, Trailing SL
Take Profit Options: Fixed TP, Trailing TP with offset
Trade Flip Mode: Optional feature to auto-flip positions on opposite signals
Includes custom-built sideways-market detection logic
Suppresses unnecessary flips in ranging/choppy conditions
Designed to sustain win rate by avoiding premature trade reversals
🔧 Customization
17 selectable moving average types
Configurable signal logic and exit types
Adaptive SL/TP behavior across assets and timeframes
Compatible with crypto, forex, indices, and more
🧠 How It Works
Trade entries are based on UT Bot signals confirmed by STC trend logic
Optional confirmation from MA Cross, McGinley, or Trend Breakout logic
Once in position, SL/TP methods dynamically manage exits
Position flip logic enables trend continuation or reversal trading — enhanced by a unique sideways-market filter to limit noise in non-trending environments
🔍 Real-Time Strategy Configurations
Users granted access to this script can also view and use our shared TradingView charts configured across BTC, ETH, SOL, XRP, and more — on timeframes such as 1H, 30M, 15M, and 5M. These charts are live-linked and synced: any change in the strategy’s properties section will update instantly across all user views.
📌 Best Suited For
Traders who prefer rule-based, logic-driven automation
Scalpers and swing traders using TradingView alerts
Crypto, forex, and index market participants
Disclaimer: This is a closed-source strategy intended for experienced traders. No performance claims are made; past results are not indicative of future performance. Users are expected to evaluate and backtest strategy configurations to suit their own risk profile and market.
Access is provided for a limited evaluation period, during which users may review live chart configurations and strategy behavior in real time.
IALGO BIST SMART INDEX KAHIN v4IALGO BIST SMART INDEX KÂHİN™
Your Algorithmic Oracle for Turkish Index Trends
IALGO BIST SMART INDEX KÂHİN™ is a purpose-built hybrid system functioning both as an indicator and a full-fledged strategy, specifically tailored for BIST index tracking. Designed to combine EMA logic, MACD filtering, and momentum strength, this tool offers a data-driven and intuitive approach to reading the rhythm of Turkish markets.
Crafted with a proprietary algorithm, it doesn’t just show signals — it thinks in sequences, providing both buy/sell entries and a performance table for backtesting and real-time strategy analysis. In this way, KÂHİN acts like a modern oracle — aiming to anticipate market direction before it becomes obvious to the crowd.
Unlike generic indicators, KÂHİN empowers users to prepare for market shifts ahead of time, both in uptrends and downturns. With integrated Fibonacci-based breakout zones, users gain a trader’s perspective on critical levels, offering insights into where price action may pivot next.
🔶 FEATURE HIGHLIGHTS
• 🔁 EMA-Based Core Logic
Built upon a dynamic EMA framework with optimized smoothing.
• 📊 MACD + Momentum Filters
Filters out false signals with dual-layered confirmation.
• 🧠 Smart Signal Sequencing
Strategically timed buy & sell signals, not random alerts.
• 📉 Full Strategy Mode
Includes built-in performance table to assess historical signal quality.
• 📈 Index-Focused Fibonacci Zones
Overlayed levels for visualizing probable breakout or rejection areas.
• 🔮 Real-Time Directional Guidance
Aims to capture early trend shifts—like a true oracle.
• 💻 Educational by Design
Helps users learn structured, logic-based trend tracking.
⚠️ USAGE RESTRICTION
IALGO BIST SMART INDEX KÂHİN™ is strictly built for use on BIST indices only.
It is not intended for individual stocks, crypto, forex, or any other asset class.
Using it outside of its scope will lead to invalid signals and incorrect results.
This tool is ideal for traders looking to understand market structure, test systematic strategies, and gain edge in timing trend shifts on BIST indices.
Whether you're swing trading or monitoring macro conditions, KÂHİN™ offers an advantage with logic—not guesswork.
🧠 Because in markets, the smartest trader isn't the one who reacts the fastest—it's the one who prepares before others even see the change coming.
🔶 HOW TO GET ACCESS
You can see detailed instructions on Authors description to get instant access to this indicator & and related contact information
-Türkce-
IALGO BIST SMART INDEX KÂHİN™
Borsa İstanbul XU100 Endeks İçin Algoritmik Öngörü Aracidir (BIST:XU100) - Günlük periyotta kullanilmalidir.
IALGO BIST SMART INDEX KÂHİN™, yalnızca BIST endeksleri için özel olarak tasarlanmış, hem bir gösterge hem de strateji olarak çalışan hibrit bir sistemdir. EMA temelli algoritma, MACD filtresi ve momentum analizi ile birleştirilen bu yapı, Türk piyasalarının ritmini daha net ve yapısal biçimde okumanızı sağlar.
Kendine özgü algoritması sayesinde KÂHİN, yalnızca sinyal üretmez — sıralı ve stratejik alım-satım noktaları sunar. Dahili performans tablosu sayesinde geçmiş veriler üzerinde test yapabilir, stratejinizin başarısını anlık olarak izleyebilirsiniz. Bu özelliğiyle bir kahin gibi, piyasanın yönünü kalabalıktan önce sezmeyi hedefler.
Genel göstergelerin ötesine geçerek KÂHİN, trend dönüşlerine önceden hazırlanmanız için size güç verir — ister yükseliş, ister düşüş döneminde olun. Entegre Fibonacci kırılım bölgeleri, fiyat hareketlerinin muhtemel dönüş ya da sıçrama noktalarını grafik üzerinde görsel olarak sunar.
🔶 TEMEL ÖZELLİKLER
• 🔁 EMA Tabanlı Çekirdek Algoritma
Optimize edilmiş EMA yapısıyla trend takibi.
• 📊 MACD ve Momentum Filtreleri
Yanıltıcı sinyalleri filtrelemek için ikili onay sistemi.
• 🧠 Akıllı Sinyal Sıralaması
Rastgele değil; zamanlaması mantıkla belirlenmiş al-sat sinyalleri.
• 📉 Strateji Modu ve Performans Tablosu
Gerçek zamanlı strateji testi ve geçmiş başarı analizi.
• 📈 Endekse Özgü Fibonacci Seviyeleri
Kırılım ve tepki bölgelerini grafik üzerinde anlık görme.
• 🔮 Gerçek Zamanlı Yön Tespiti
Trend dönüşlerini erkenden yakalama hedefi.
• 💻 Öğretici Yapı
Yapılandırılmış ve mantığa dayalı işlem mantığını kullanıcıya kazandırır.
⚠️ KULLANIM UYARISI
IALGO BIST SMART INDEX KÂHİN™, yalnızca BIST endekslerinde kullanılmak üzere geliştirilmiştir.
Hisse senetleri, kripto paralar, forex ya da başka varlıklarda kullanılamaz.
Bu sınırın dışına çıkmak, geçersiz sinyaller ve yanlış sonuçlar doğuracaktır.
Bu araç, piyasa yapısını anlamak, sistematik stratejileri test etmek ve trend dönüşlerini zamanında fark etmek isteyen yatırımcılar için idealdir.
İster kısa vadeli işlem yapın, ister makro düzeyde yön arayın — KÂHİN™ size sezgiyle değil, mantıkla avantaj kazandırır.
🧠 Çünkü piyasada en hızlı tepki veren değil, daha değişim gelmeden hazır olan kazanır.
🔶 NASIL ERİŞİM SAĞLANIR
Bu göstergeye anında erişim sağlamak ve ilgili iletişim bilgilerine ulaşmak için, yazarın açıklama bölümündeki yönergeleri detaylı bir şekilde inceleyebilirsiniz.
HMA 200/150 Trading StrategyThis strategy uses the Hull Moving Average (HMA) to generate buy and sell signals based on price action relative to the HMA 200, with take profit signals based on the HMA 150. It includes a configurable date range for backtesting, allowing users to test the strategy over specific periods.
How It Works
Entry Signals:
Buy: Triggered when the price closes above the HMA 200.
Sell: Triggered when the price closes below the HMA 200.
Take Profit Signals:
Buy Take Profit: Exits the buy position when the price closes below the HMA 150.
Sell Take Profit: Exits the sell position when the price closes above the HMA 150.
Backtest Period: Users can set start and end dates (year, month, day) to limit the strategy’s execution to a specific time range for backtesting purposes.
Settings
Start Year/Month/Day: Set the start date for backtesting (default: January 1, 2023).
End Year/Month/Day: Set the end date for backtesting (default: December 31, 2025).
Visuals
HMA 200: Plotted in blue, used for entry signals.
HMA 150: Plotted in orange, used for take profit signals.
Buy Signal: Green triangle below the bar.
Sell Signal: Red triangle above the bar.
Take Profit Signals: Yellow diamonds (above for buy TP, below for sell TP).
Usage
Add the strategy to your chart.
Adjust the backtest period in the settings to analyze performance over a specific time frame.
Monitor the plotted HMA lines and signals for potential trade entries and exits.
Backtest on your preferred timeframe and asset to evaluate performance.
Notes
This strategy is designed for trend-following and works best in trending markets.
Always test the strategy on a demo account before using it in live trading.
Performance may vary depending on the asset, timeframe, and market conditions.
Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and risk management.
Premarket Sweep Strategy [ES/NQ]My first strategy.
Liquidity sweep on 2 min timeframe.
Tested on 7 trades with 100% win rate.
I am the best LOL
GStrategy1️⃣ Long entry based on RSI divergences.
2️⃣ Exit based on RSI filter (RSI> 40 after at least N bars).
3️⃣ Exit if the price has fallen more than 10% from the entry point.
4️⃣ Visualization of % difference for monitoring.
5️⃣ Flexibility: all parameters are configurable in the arguments window.
NOCTURNA v2.0 – Full Shadow EngineNOCTURNA v2.0 – Full Shadow Engine
✅ Auto & Manual Modes
✅ Grid (EVE), Trend (SENTINEL), Breakout (LUCIFER), Reversal (REAPER)
✅ SL, TP, Trailing Stop
✅ Dashboard + JSON Alerts
✅ 100% fixed & deployable
NOCTURNA v2.0 – Shadow Engine: Trail EditionNOCTURNA is the final evolution of LUCY.
She adapts to market conditions like shadow to light:
Mode Active When... Style
Lucifer Price is breaking trend boundaries Breakout sniper
Reaper Volatility spikes + candle exhaustion Reversal scalper
Sentinel Swing structure confirmed (EMA + MACD) Macro trend
EVE Flat EMAs + ATR squeeze = range mode DCA harvester
NOCTURNA v2.0 – Shadow Engine: Trail EditionModule Function
Lucifer Breakout sniper (trend trigger)
Reaper Reversal scalper (EMA 8/34 cross)
Sentinel Swing filter (EMA/MACD alignment)
EVE Grid trader (range + DCA logic)
Failsafe Auto-block high-volatility entries
TrailLogic Auto SL lock-in after % gain
HUD Visual mode/status panel
Pin Bar Reversal StrategyStrategy: Pin Bar Reversal with Trend Filter
One effective high-probability setup is a Pin Bar reversal in the direction of the larger trend. A pin bar is a candlestick with a tiny body and a long wick, signaling a sharp rejection of price
By itself, a pin bar often marks a potential reversal, but not all pin bars lead to profitable moves. To boost reliability, this strategy trades pin bars only when they align with the prevailing trend – for example, taking a bullish pin bar while the market is in an uptrend, or a bearish pin bar in a downtrend. The trend bias can be determined by a long-term moving average or higher timeframe analysis.
Why it works: In an uptrend, a bullish pin bar after a pullback often indicates that sellers tried to push price down but failed, and buyers are resuming control. Filtering for pin bars near key support or moving averages further improves odds of success. This aligns the entry with both a strong price pattern and the dominant market direction, yielding a higher win rate. The pin bar’s own structure provides natural levels for stop and target placement, keeping risk management straightforward.
Example Setup:
USDCHF - 4 Hour Chart
Trend SMA 12
Max Body - 34
Min Wick - 66
ATR -15
ATR Stop Loss Multiplier - 2.3
ATR Take Profit Multiplier - 2.9
Minimum ATR to Enter - 0.0025
EMA Trend Cross Signal
LOGIC :
This strategy opens position if shorter period Exponential Moving Average (EMA) crosses over or crosses under the longer period EMA and exits position if any of the 3 exit conditions mentioned below is fulfilled
ENTRY CONDITIONS :
LONG ENTRY -
shorter period EMA crosses over longer period EMA
SHORT ENTRY -
shorter period EMA crosses under longer period EMA
EXIT CONDITIONS :
BOTH EMA CROSSED -
LONG EXIT - If price closes below both the shorter period EMA & longer period EMA
SHORT EXIT - If price closes above both the shorter period EMA & longer period EMA
STOP-LOSS HIT -
LONG EXIT - If price closes below the LOW created at the time of ema crossover
SHORT EXIT - If price closes above the HIGH created at the time of ema crossover
EMA CROSS -
LONG EXIT - If shorter period EMA crosses under longer period EMA
SHORT EXIT - If shorter period EMA crosses above longer period EMA
EXAMPLES :
1. TESLA (1-DAY) -
2. APPLE (1-WEEK) -
PYRAMID CLOSING -
Positions will be closed pyramidically in 5 levels and price of each level will be calculated by multiplying current market price with the percentage of each pyramid level's value user has entered
SETTINGS OPTIONS -
MA TYPE -
There is option to choose the type of moving average among SMA, EMA, RMA, WMA, VWMA on chart
MA LENGTH -
There is option to change the length of short period MA & large period MA
FIELD TYPE -
There is also option to choose the price field among open, close, low, high etc. for the selected MA
HISTORICAL BACKTEST -
We can also backtest the strategy for a certain duration of time using this option by changing the start time and end time
SHOW BACKGROUND COLORS FOR EVERY POSITION -
There is option to show background color as green whenever a bullish position is opened and as red whenever a bearish position is opened
SHOW BACKGROUND COLORS FOR EVERY PROFIT & LOSS -
There is option to show green circle in background whenever profit is made and red circle whenever loss is made
SHOW TABLE -
If selected then it will show a table at the top-right corner with all the pyramid levels at which position will be closed for the current scrip
PAUSE TRADING -
If this option is selected then no position will opened on the chart
CBC Flip StrategyCBC Flip Strategy is a trend-following strategy inspired by the price action logic originally shared by the TradingView user @AsiaRoo This implementation formalizes the concept into a complete and backtestable framework with optional trend filtering and commission simulation.
Strategy Overview
The core idea is to capture directional shifts in market structure based on simple breakout conditions:
A bullish flip is defined when the current candle closes above the high of the previous candle.
A bearish flip is defined when the current candle closes below the low of the previous candle.
The strategy can optionally filter trades based on a 200-period Exponential Moving Average (EMA200):
Long trades are taken only when the price is above EMA200.
Short trades are taken only when the price is below EMA200.
Each entry is paired with a configurable Take Profit and Stop Loss, defined as a percentage of the entry price.
The script also supports commission modeling using either a percentage or fixed cash value.
User Inputs
Take Profit % – Sets the target profit level per trade.
Stop Loss % – Sets the maximum acceptable loss per trade.
Use EMA200 Filter – Enables/disables the trend direction filter.
Commission Type & Value – Simulates broker commissions to enhance backtest accuracy.
Visual Indicators
Green upward triangles mark bullish flips.
Red downward triangles mark bearish flips.
Yellow and blue background highlights indicate new bullish or bearish flips, respectively.
Attribution
This strategy is based on an idea originally shared by TradingView user AsiaRoo. The implementation here is a refined and extended version with added risk management and backtesting features.
Disclaimer
This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. The strategy presented here is a tool to support analysis and learning, and should not be interpreted as a recommendation to buy or sell any security or financial instrument.
Trading involves substantial risk and may not be suitable for all investors. Users are solely responsible for their own trading decisions and for evaluating the suitability of this tool. Past performance is not indicative of future results.
Always conduct thorough backtesting and risk assessment before using any strategy in live trading environments.
FXPRO OCC Strategy R5.41"Unlock the power of market precision with this elite indicator — expertly engineered to pinpoint robust support and resistance zones, elevating your trading edge to a new level of mastery." j
OKASHA v1 – Pro Strategy (Optimized for XAUUSD)OKASHA v1 – Pro Strategy (Optimized for XAUUSD)
A premium trading strategy designed for precision on Gold (XAUUSD) but adaptable to any asset – including Forex, and Stocks.
✅ Advanced Dashboard for live indicator status
✅ Performance table showing net profit, best & worst trades
✅ Trailing Stop / Fixed SL-TP switch
✅ trend filter toggle
✅ Telegram-ready alerts: Buy, Sell, Win, Loss
Protected script – invite-only access
Lucifer Strategy – BTC & Gold (15min/1hr)Charts: XAU/USD, BTC/USD
Timeframes: 15m, 1h
Backtest: Use TradingView Strategy Tester
Pair it with volume or news filters for extra confidence
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system.
✅ When to Use This Strategy
• Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W).
• Best used on uptrending assets like Gold.
• Designed for swing trading – holding trades from a few days to weeks.
📊 How It Works
1. Find the Trend
We only want to trade in the direction of the trend.
• The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend.
• If the price is above the 200 EMA, we consider it an uptrend and allow long trades.
2. Identify Breakout Levels
• The strategy detects recent high and low pivot points to draw Fibonacci extension levels.
• It focuses on the 1.618 Fibonacci level, which is often a target in strong trends.
• When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy.
3. Enter a Trade
• The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA).
4. Manage Risk Automatically
• The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops.
• It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks.
⚠️ Important Notes
• 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD).
• 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
Fibonacci Trend v7.2 - MA50 Şartsız DönüşA groundbreaking new strategy in trading with its updated version. Enter the position when a signal appears. If the next Fibonacci level in the direction of the position is not broken, cancel the trade. If it breaks, you can stay in the position until the take-profit point. You can think of the positions as an early warning system. We will try to detect drops and rises in advance.
AKC Strategy with MACD + RSI + ATR Filters [FAILED]This strategy is built around a mean-reversion concept using Higher Timeframe (HTF) Keltner Channels overlaid on a 5-minute chart.
Entry Conditions:
• Long when price pierces the lower HTF band
• Short when price pierces the upper HTF band
• Confirmed by:
• MACD histogram direction
• RSI above 50 (for longs) / below 50 (for shorts)
• ATR must be above its 20-bar average (filters low-volatility chop)
Exit Conditions:
• Stop-loss: 1%
• Take-profit: 2% (fixed R:R of 1:2)
Customization:
• Timeframe input for Keltner calculation (default: 4H)
• Adjustable filter thresholds and SL/TP levels
Backtest Result (In-Sample: Feb–Apr 2023):
• Total Trades: 138
• Win Rate: ~27%
• Profit Factor: ~0.85
• Still underperforming overall but built as a modular base for refinement.
SY_Quant_AI_预警📢 SY_Quant_AI_Alert Strategy Overview
Name: SY_Quant_AI_Alert
Purpose: Designed for real-time alerting when Long, Short, or Take-Profit signals are triggered. Alerts are structured in JSON format, ideal for integration with DingTalk, Telegram, or other bots.
✅ Key Features:
Trend Detection using Supertrend, EMA/MA filters, and candle color analysis.
Momentum Filtering with MACD crossover signals.
Entry Alerts when a strong signal appears (Long/Short), showing ideal entry zone.
Take-Profit Alerts when floating profit is valid and MACD reverses in favor.
Full JSON Alerts for easy automation and third-party integrations.
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.
Grid TLong V1The “Grid TLong V1” strategy is based on the classic Grid strategy, but in the mode of buying and selling in favor of the trend and only on Long. This allows to take advantage of large uptrend movements to maximize profits in bull markets. For this reason, excessively sideways or bearish markets may not be very conducive to this strategy.
Like our Grid strategies in favor of the trend, you can enter and exit with the balance with controlled risk, as the distance between each grid functions as a natural and adaptable stop loss and take profit. What differentiates it from bidirectional strategies is that Short uses a minimum amount of follow-through, so that the percentage distance between the grids is maintained.
In this version of the script the entries and exits can be chosen at market or limit , and are based on the profit or loss of the current position, not on the percentage change in price.
The user may also notice that the strategy setup is risk-controlled, because it risks 5% on each trade, has a fairly standard commission and modest initial capital, all in order to protect the strategy user from unrealistic results.
As with all strategies, it is strongly recommended to optimize the parameters for the strategy to be effective for each asset and for each time frame.
GV Reddy Strategy v2//@version=5
strategy("GV Reddy Strategy v2", overlay=true, default_qty_type=strategy.cash, default_qty_value=10000)
// === INPUTS ===
emaLength = input.int(200, title="EMA Length")
tp_points = input.int(100, title="Target (Points)")
sl_points = input.int(50, title="Stop Loss (Points)")
// === CALCULATIONS ===
ema = ta.ema(close, emaLength)
// Strong candles (body > 60% of total range)
bullCandle = close > open and (close - open) > (high - low) * 0.6
bearCandle = open > close and (open - close) > (high - low) * 0.6
// === ENTRY CONDITIONS ===
longCondition = bullCandle and close > ema
shortCondition = bearCandle and close < ema
// === ENTRY EXECUTION ===
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
// === EXIT EXECUTION ===
strategy.exit("TP/SL Long", from_entry="Long", profit=tp_points, loss=sl_points)
strategy.exit("TP/SL Short", from_entry="Short", profit=tp_points, loss=sl_points)
// === PLOTS ===
plot(ema, color=color.orange, linewidth=2, title="EMA 200")