Skip to content
All library documents

UT Bot ATR Signals Filtered by Trend, Strength, and Trading Sessions

Article Strategy library · Author: Syed_Shah_Hassan

Summary

This XAUUSD strategy uses an ATR-based trailing stop to generate buy and sell signals when price crosses the stop. It filters those signals with the local EMA trend, a higher-timeframe EMA comparison, an ADX strength threshold, Supertrend direction, above-average volume, and London or New York session timing. A cooldown rule limits how soon another trade can be opened after an entry.

The visible entry logic splits positions into several equal-sized orders and defines fixed price-distance take-profit levels and an initial stop. The supplied text cuts off during the take-profit tracking section, so the full exit and stop-management behavior is unavailable. It gives no backtest results, costs, or performance evidence. The fixed distances and session windows may need adaptation to the instrument, broker conventions, and chart timezone; the strategy name refers to a three-minute setup, but the code does not enforce that chart interval.

Key ideas

  • An ATR trailing stop crossing provides the initial long or short signal.
  • Entries require agreement from local and higher-timeframe EMA trends, ADX, Supertrend, volume, and session filters.
  • A bar-based cooldown limits the frequency of new trades.
  • The visible code defines staged entries, fixed-distance profit levels, and an initial stop, but the excerpt omits complete exit logic.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.