SHADOW TEST REQUEST (auto): LAB #1737 VIDEO SCOUT: ICT Mentorship Part 1 — E8 Intelligence Research

Q: What does this research mean for the field?

A trading strategy executed during the 10-11 AM EST window, utilizing liquidity sweeps and displacement breaks with fair value gaps (FVG), yields a positive expectancy across multiple timeframes for the EURUSD pair. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

Andrew Stewart Caldin

doi:10.5281/zenodo.22190638

August 31, 2026Open Access

SHADOW TEST REQUEST (auto): LAB #1737 VIDEO SCOUT: ICT Mentorship Part 1 — E8 Intelligence Research

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Key Points

To evaluate the historical profitability and return distribution of an ICT-derived liquidity sweep and fair value gap strategy across multiple EURUSD timeframes.
Simulated trades executed during the 10:00–11:00 AM EST window following liquidity sweeps of prior highs or lows with displacement breaks entering on fair value gaps (FVG).
Tested a bidirectional model on EURUSD across 5-minute, 15-minute, 30-minute, and 1-hour timeframes using benchmark parameters of a 1.0R stop-loss, 2.0R take-profit, 100-bar lookback, and a 60-bar maximum hold.
Achieved positive expectancy across all 4 evaluated timeframes: 5-minute (1,289 trades, 6.2% win rate, +14.3R), 15-minute (496 trades, 9.7% win rate, +19.1R), 30-minute (305 trades, 13.4% win rate, +18.0R), and 1-hour (1,188 trades, 1.7% win rate, +9.7R).
Identified the 15-minute EURUSD timeframe as the highest-performing configuration (+19.1R over 496 trades), qualifying the algorithmic model for automated forward shadow testing.

Implication

Algorithmic backtesting analysis demonstrates positive expectancy across multiple timeframes in EURUSD trading, indicating suitability for real-time shadow testing.

Abstract

GREEN lab strategy with positive multi-TF replay — auto-promoted into the harness for eToro shadow testing. --- VIDEO RE-ENGINEERING (video w7Srnty81zU, source: description) --- ESSENCE: Trade the 10-11 AM EST window: after a liquidity sweep of prior highs/lows, enter on a displacement break with FVG, targeting 2R with a 1R stop. BENCH PARAMS: {"pair": "EURUSD", "lookback": 100, "tp": 2.0, "stop": 1.0, "hold": 60, "direction": "BOTH"} EURUSD 5m: 1289 trades | 6.2% wr | +14.3R EURUSD 15m: 496 trades | 9.7% wr | +19.1R EURUSD 30m: 305 trades | 13.4% wr | +18.0R EURUSD h1: 1188 trades | 1.7% wr | +9.7R ADOPTION: ADOPT-CANDIDATE — positive expectancy on 4/4 timeframes — best EURUSD 15m: 9.7% wr, +19.1R over 496 trades. Queue for shadow-test. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Cite This Study

Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a97e305c562ede874ec78a2 https://doi.org/10.5281/zenodo.22190638

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SHADOW TEST REQUEST (auto): LAB #1737 VIDEO SCOUT: ICT Mentorship Part 1 — E8 Intelligence Research

Key Points

Implication

Abstract

Discussion

Cite This Study

SHADOW TEST REQUEST (auto): LAB #1737 VIDEO SCOUT: ICT Mentorship Part 1 — E8 Intelligence Research

Key Points

Implication

Abstract

Discussion

Cite This Study

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