Envelopes Grid LLM
- エキスパート
- Sabil Yudifera
- バージョン: 1.0
- アクティベーション: 5
The Envelopes Grid LLM strategically leverages advanced deep learning techniques with highly parameterized neural networks to robustly model breakout trading based on precise data distribution analysis. It accurately detects and comprehensively analyzes diverse breakout patterns through optimized neural network parameters, continuously integrating the latest state-of-the-art improvements. Extensive backtesting has consistently validated its strong profit performance across multiple breakout scenarios, demonstrating both reliability and scalability. At present, the system achieves an impressive 80% profit prediction accuracy, which is projected to reach up to 90% through the integration of enhanced Triangular AI algorithms, thereby ensuring greater consistency and superior decision-making in live trading conditions.
Recomend Pair: EURUSD,GBPUSD,USDJPY,AUDUSD,USDCAD,NZDUSD,GBPJPY,DE40(DAX) and etc.
When testing in the strategy tester, select the M1 timeframe. Tick simulation methods: *Every Tick Based On Real Tick. *Every Tick. *M1 OHLC (simulation of 1-minute bars, OHLC prices). |
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Recommendations
- Needed 1:50 leverage as a minimum.
- VPS or PC is recommended.
- Platform: Metatrader 5;
- 1 Minute Timeframe.
- Minimum Balance requirement: 10 USD for Cent Account or 1000 USD for Standar Account.
Parameters
- Magic_Number - Order magic number.
- Slippage - permissible slippage (Points).
- Initial_lot - initial lot.
- Lot_miltiplier - lot multiplier for the following orders.
- MaxSpread - maximum value of the current spread to open position (Points) .
- TrailingStop_Virtual - Virtual Trailing stop (Points).
- TrailingStep _Virtual - Virtual Trailing step (Points).
- Autolot - Enable autolot or not (include Parameter Risk)
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