Trixter KNN

Trixter KNN Gold is an intelligent trading system based on gold volatility analysis.

The bot uses smart pattern search based on the nearest neighbors method (KNN). The found patterns are processed by two classifiers, after which the model is exported to the ONNX format.

Key principles

• Analysis of gold volatility across multiple timeframes and indicator periods.
• Volatility grouping to find effective patterns (from 100 to 3000).
• Statistical validation: high mathematical expectation of profit and statistical significance.
• Patterns that fail validation are marked as noise — in such situations, trades are not opened.
• Mandatory 2-year forward test before being allowed on a live account.

Trading logic features

• Opening trades with limit orders at a selected distance from the price — minimal slippage.
• If the limit order is not triggered (price did not touch the level) and the signal disappears — the order is deleted.
• Open positions are protected with stop-loss and take-profit, and are closed at market price upon a reverse signal.
• The robot does not use martingale, arbitrage, or other high-risk strategies.
• Recommended timeframes: from M5 to H1. Optimal — H1 XAUUSD.
• Flexible configuration of trading activity is provided (parameters below).

Main settings

• Allow BUY signals, Allow SELL signals — enable or disable buy/sell orders when confident in market direction.
• Signals sensitivity, Filter sensitivity — threshold for signal sensitivity and noise filtering. Default value — 0.5. Can be increased to 0.7–0.9 for cleaner signals.
• Filter by trading hours — trading time restriction. By default — 24/7.

Money management settings

• Distance in points for limit order — distance from price to limit order. Default: 250. Lower → more trades, higher → more conservative.
• Max positions + orders number — maximum number of simultaneously open positions (without averaging). Default: 3.
• Additionally configurable: delay between openings, maximum spread control, stop-loss and take-profit levels.