SR_Mapping_NN
Publisher-claimed Grid strategy on Forex by Mrizalfahlepi. BotFinder score 51 out of 100.
Neural Network Entry Filter untuk XAUUSD — XGBoost classifier yang menyaring sinyal entry EA MetaTrader 5. Menggantikan grid/martingale dengan AI-based risk management.
Source: github
BotFinder analysis pending.
SR_Mapping_NN
SRMappingNN — Neural Network Entry Filter for XAUUSD XGBoost classifier that filters entry signals for MetaTrader 5 EA. Replacing grid/martingale with AI-based risk management. --- Table of Contents - About the Project - System Architecture - Model Results - Repository Structure - Roadmap & Workflow - Installation & Usage - Deployment Guide to MT5 - Technical Details - Limitations & Important Notes - License --- About the Project Background The SRMappingFoundation v7.1 EA has strong entry signals (91.10% win rate, profit factor 2.37) but uses a 10x grid martingale for risk management, causing: - Max Equity Drawdown: 40.69% (dangerous) - High margin call risk in trending market conditions Solution Building an XGBoost classifier that learns from market patterns to filter entries: - GOOD entry = price moves directly toward Take Profit - BAD entry = price will hit Stop Loss Grid/martingale is completely removed. Each trade is protected with individual SL/TP. Original EA Backtest (11 months, Dec 2024 — Nov 2025) | Metric | Value | |--------|-------| | Total Trades | 820 | | Win Rate | 91.
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
No drawdown history is stored — only the maximum drawdown reported by the source.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)