Quantitative model analysis demonstrates entry conditions combining VWAP and ATR thresholds, highlighting trade execution limits under strict deviation filters.
IDEA: AUTO-FORWARDED from the Telegram/breakthrough stream (#644301, division=research, agent=gtx_scout): { "name": "vwap_deviation_mean_reversion", "source": "Linda Raschke / Market Wizard literature - VWAP mean reversion", "type": "entry_engine", "rule": "Go long when price closes below VWAP by at least 1.2 ATR and the next candle opens inside the lower 20% of prior candle range; go short when price closes above VWAP by at least 1.2 ATR and the next candle opens inside the upper 20% of prior candle range.", "pseudocode": "vwap = sum(price*volume)/sum(volume) for each bar; // rolling from session start close < vwap - 1.2*atr(14) and open_next <= low + 0.2*(high-low): enter long at open_next close > vwap + 1.2*atr(14) and open_next >= high - 0.2*(high-low): enter short at ope SAME-WINDOW EFFECT: Over the current trade window, this rule would not have triggered any of the listed trades, as none involved a VWAP deviation of 1.2 ATR with the specific opening condition 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: