Artificial intelligence that learns to make the best decisions based on signals

1. IF price forms: - Higher highs + higher lows → TREND = BUY - Lower highs + lower lows → TREND = SELL ELSE → NO TRADE 2. IF: - Trend = BUY - Price retraces to support zone - Bullish engulfing candle forms - TDI green crosses above red (optional) THEN: - Execute BUY 3. IF: - Trend = SELL - Price retraces to resistance - Bearish engulfing forms - TDI confirms THEN: - Execute SELL 4. Risk per trade = 1% of account Lot

Project Overview ​I am looking for a high-level Algorithmic Trader / Developer to build a sophisticated, fully automated scalping system for the Nasdaq-100 Future (NQ) . The system must integrate institutional order flow logic with market structure analysis. ​The core logic must be written in Python , acting as a central hub that bridges ATAS (as the primary data source for Order Flow) and MetaTrader 5 (as the

have the Beatrix Inventor Expert Advisor (EA) that was profitable in the past but has been losing money recently. I need an experienced EA developer/optimizer to study the trade history (especially Stop Loss hits, drawdown periods, SL/TP behavior, win/loss ratio, etc.) and recommend + implement specific tweaks so it becomes consistently profitable again. Your job: 1. Deep analysis of why the EA is no longer