Algorithmic model demonstrates rule-based directional bias in foreign exchange trading, suggesting improved trade filtering through overnight market session momentum.
{ "name": "overnight_range_directional_bias", "source": "Boris Schlossberg / Kathy Lien - FX market structure", "type": "filter_flag", "rule": "For the current daily bar, if the overnight range (00:00-07:00 UTC) closes in the top 25% of its own range and the previous day was an up day, then only take long entries; if the overnight range closes in the bottom 25% and the previous day was down, only take short entries; otherwise no directional bias.", "pseudocode": "prev_close = close of previous daily bar prev_close > open of previous day: prev_trend = 'up': prev_trend = 'down'_high = max high from 00:00 to 07:00 UTC_low = min low from 00:00 to 07:00 UTC_close = close at 07:00 UTC_in_range = (overnight_close - overnight_low) / (overnight_high - overnight_low) prev_trend == 'up' and position_in_range >= 0.75: bias = 'long' prev_trend == 'down' and position_in_range <= 0.25: bias = 'short': bias = 'none'", "why_it_wor Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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