Solution · AI Trader Lab
AI Trader Lab – A structured laboratory for AI trading systems
A platform for experimenting with fully or semi-automated trading systems using AI – for example XAUUSD, Forex, or Crypto – with a focus on discipline, risk management, and transparent performance tracking.
Mockup: Performance & equity dashboard
Typical issues when trying to use AI in real trading
- Signals from indicators or channels are hard to verify historically.
- There is no structured trade journal or performance history.
- Risk and lot sizing are often handled roughly and inconsistently.
- Multiple strategies are tried, but it is unclear which ones actually work in the long run.
How AI Trader Lab brings structure
- Provides a structured way to store market data, signals, trades, and results.
- Connects to MT5 or exchanges via API to test systems live or in a sandbox.
- Includes dashboards for winrate, drawdown, and equity curves by symbol or strategy.
- Supports integrating AI/ML components (e.g., SMC logic, LSTM, RL) into entry/exit logic.
Core modules of AI Trader Lab
Market data & signal engine
- Ingests price and volume data from brokers/exchanges.
- Computes indicators and strategy-defined signals.
- Prepares datasets for AI/ML models and backtesting.
Execution & risk management
- Sends orders via API (e.g., MT5).
- Applies TP/SL, trailing stops, and breakeven rules.
- Controls lot size and maximum drawdown according to a risk profile.
Performance dashboards & journal
- Records every order in a detailed trade journal.
- Shows performance by day, week, month, and strategy.
- Helps identify which strategies fit which market regimes.
Want to build your own AI trading lab with discipline?
AI Trader Lab is designed for researchers, development teams, and serious traders who want a systematic way to test and refine strategies – and a base that can grow into a larger platform in the future.
Talk with SoftHome about AI Trader Lab