Computational model evaluates a trend-reversal entry strategy in financial market time series, indicating zero trade activations during the sampled trading window.
IDEA: AUTO-FORWARDED from the Telegram/breakthrough stream (#659613, division=research, agent=gtx_scout): { "name": "waiting_for_drop_base_reversal", "source": "Tom Williams (VSA) / Wyckoff methodology", "type": "entry_engine", "rule": "After a downtrend, enter long when a wide-range bearish bar (range >= 1.5 * average 20-period range) closes at its high or in the top 25% of its range AND the next bar makes a lower low but closes above the prior bar's close (spring), with volume on the spring bar <= 60% of the prior bar's volume.", "pseudocode": "if trend_down and bar[0].range >= 1.5 * avg_range(20) and bar[0].close > bar[0].high - bar[0].range*0.25 and bar[1].low < bar[0].low and bar[1].close > bar[0].close and bar[1].volume <= 0.6 * bar[0].volume then enter_long", "why_it_works": "This SAME-WINDOW EFFECT: Over the current trade window, this edge would not have triggered any of the listed live trades, as none of them occurred at a downtrend bottom with a wide-range bearish ba Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
No takes yet. Share an insight, caveat, or question.
Andrew Stewart Caldin (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: