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Human Trader Mind
Trend, chop, session, RSI, and location checks before any order. Patience over spam.
XentraCore watches the market like a disciplined trader — then learns from every closed trade to improve win rate over time.
Modular Python stack connected to MetaTrader 5 — not a black-box signal seller.
Trend, chop, session, RSI, and location checks before any order. Patience over spam.
Records features at entry and labels wins/losses. Retrains to skip contexts that historically lose.
Short-horizon direction model on OHLCV — trained from your history via backfill.
OpenAI-compatible API for live narrative and veto — off by default.
Set XAUUSD / BTCUSD in config — auto-maps to your broker’s Market Watch name.
Three legs at 1×, 3×, and 5× range with trailing stop logic per symbol.
Trades, trailing SL updates, health checks, and learning retrains to your phone.
Every signal passes multiple layers — only high-conviction setups reach MT5.
Reads local logs and learning data — refreshes every 15 seconds. Run python web/server.py alongside the bot.
| Symbol (broker) | Base | Side | Result | Profit | Setup |
|---|---|---|---|---|---|
| Loading… | |||||
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Three commands to go from zero to learning-enabled trading.
Configure base symbols (XAUUSD, BTCUSD) in core/config.py —
the bot maps them to your broker’s names automatically.
Set TRADING_STYLE to selective or aggressive.