I am looking to develop an AI trading bot in MQL5 with tensorflow for scalping
Every tick :
- the information must be sent to the strategy pool :
* in this pool we have to develop different indicators to start with we can start with the 10 main ones and then we will add more to improve the system
* at the output of each indicator we must have an output if we must buy, sell or do nothing:
At the output of each strategy, the information must feed a neuron at the input (each neuron can be processed by openCL), the neural algorithm is LSTM with Adam (Adaptive Moment Estimation Method)
with the learning on the history (for each strategy and the output) we should be able to develop an AI ==> in output we will obtain the signal to do: buy, sell, do nothing
and to know the positioning, another module for money management, SL, TP
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Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
Part 1: Project setup Input settings (risk, stop loss, take profit, EMA periods) Indicator initialization Trade management framework Part 2: Trading logic EMA crossover detection Buy/Sell entry rules One-trade-per-symbol check Part 3: Risk management Automatic lot size calculation Stop-loss and take-profit placement Trade execution and error handling Part 4: Final touches On-screen information Optimization
Title Professional AI Automation Trading Bot for Forex & Crypto Solution Language Python (preferred) or MQL5 depending on integration requirements. Categories Expert Advisor (EA) for MetaTrader 5 Automated trading strategies AI/ML-based signal generation Risk management automation Required Skills Strong knowledge of MQL5/Python Experience with MetaTrader API integration Machine learning model deployment
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