Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 57 min ago
PreprintCC BY 4.0Zenodo

MODEL ADOPTION #4502: REJECT — VIDEO SCOUT: 3 ICT Trading Strategies Every Trader Should Know — E8 Intelligence Research

  1. 1Independent Researcher, United Kingdom

Abstract

DECISION: REJECT ELEMENT: No single rule survives hostile scrutiny — the ICT "breakout after revisit" edge is timeframe-dependent (h1 only) and conflicts with our 15s–7m scalp mandate. The 5m bench (-37.5R) proves the core signal is noise at our speed. The proposed E8 filter (node alignment + 0.25 ATR proximity) is speculative — no backtest evidence shows it rescues a 13.5% win-rate strategy. EXPECTED IMPACT: Win-rate would drop (ICT h1 14.5% wr vs our ~50%), forcing us to hold 50+ bars — impossible for 15s–7m exits. Profit would degrade due to 20+ trade losing streaks and spread costs on 5m. RISK: Over-trading ranging markets; false FVG identification on low TF; stop-losses hit by E8 rhythm noise before target; model complexity without proven additive edge. TEST: Before any reconsideration, run frozen 90-day EURUSD 5m shadow with exact ICT rules + E8 node filter. Must show ≥45% win-rate AND ≥+20R over 500 trades (not 2,622) to even approach viability. Current data predicts fai

Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Related

  1. MODEL ADOPTION #4606: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 31.6% to 35.8% — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  2. MODEL ADOPTION #4136: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.6% t — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  3. MODEL ADOPTION #4473: REJECT — LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.5% to 33. — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  4. MODEL ADOPTION #4470: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 31.5% to 33.0% — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  5. MODEL ADOPTION #4600: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 31.5% to 35.6% — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
BibTeX
@misc{caldin2026model,
  title = {{MODEL ADOPTION #4502: REJECT — VIDEO SCOUT: 3 ICT Trading Strategies Every Trader Should Know — E8 Intelligence Research}},
  author = {Andrew Stewart Caldin},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23553586},
  url = {https://zenodo.org/records/23553586},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - MODEL ADOPTION #4502: REJECT — VIDEO SCOUT: 3 ICT Trading Strategies Every Trader Should Know — E8 Intelligence Research
AU  - Andrew Stewart Caldin
PY  - 2026
DA  - 2026/10/22
PB  - Zenodo
DO  - 10.5281/zenodo.23553586
UR  - https://zenodo.org/records/23553586
AB  - DECISION: REJECT ELEMENT: No single rule survives hostile scrutiny — the ICT "breakout after revisit" edge is timeframe-dependent (h1 only) and conflicts with our 15s–7m scalp mandate. The 5m bench (-37.5R) proves the core signal is noise at our speed. The proposed E8 filter (node alignment + 0.25 ATR proximity) is speculative — no backtest evidence shows it rescues a 13.5% win-rate strategy. EXPECTED IMPACT: Win-rate would drop (ICT h1 14.5% wr vs our ~50%), forcing us to hold 50+ bars — impossible for 15s–7m exits. Profit would degrade due to 20+ trade losing streaks and spread costs on 5m. RISK: Over-trading ranging markets; false FVG identification on low TF; stop-losses hit by E8 rhythm noise before target; model complexity without proven additive edge. TEST: Before any reconsideration, run frozen 90-day EURUSD 5m shadow with exact ICT rules + E8 node filter. Must show ≥45% win-rate AND ≥+20R over 500 trades (not 2,622) to even approach viability. Current data predicts fai  Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER  -