In-house · Soft AI Labs

MT5 AutoTrader

Started as an MQL5 bot for MetaTrader 5 with EMA 9/21 crossover entries, ATR-based stops at 1:2, a spread filter and a daily loss limit. It became a habit: test a trading idea on years of data before building it, and write down when it fails.

9 bots in 48 hours The first bot

2.37 million one-minute bars · five pre-registered tests, five no-gos

Client: Own product
When: Mar 2026 – present
Status: Live
Role: Strategy, risk rules and execution in MQL5; research and simulation in Python.
Built with: MQL5MetaTrader 5PythonpandasNumPyBacktestingRisk management
Service: Websites

What was built

Built nine variants in 48 hours and wrote up why only one of them made money.
Pre-registered tests on 2.37 million one-minute gold bars from 2020 to 2026, pulled from MT5 with the real spread, with rules and pass marks frozen before the data was opened. Grid, mean-reversion and breakout designs all failed; the breakout entries did no better than random entries with the same exits.
Decoded a third-party gold bot from 4,329 trades of its account history, rebuilt it in MQL5 and matched the clone to the original before simulating it over 78 rolling 90-day windows since 2020. It lost its stake in half of them, and no safety setting made it pay.
Ruled out a 3-to-4-second scalper on paper first: after gold's round-trip costs it needed a win rate above 95% to break even.

Soft AI Labs

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