LAB #5068 NEUTRAL: LEDGER BENCH: Apply Fable build 5f26aadc40 (risk low): Staged /opt/excalibur/book_csv.py: pulls /api — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply Fable build 5f26aadc40 (risk low): Staged /opt/excalibur/book_csv.py: pulls /api/meme/day-book and writes public book_tonight.csv (one row per LONG/SHORT plan side); py_compile clean, live run n SAME-WINDOW EFFECT: This build only writes a public CSV ledger of the day-book (one row per LONG/SHORT plan side) — it does not touch signal generation, sizing, or execution, so none of the ten trades above would change: the three CLOSED/LOSS shorts, the USDCHF win, the USDCAD win, and the five REJECTED/open entries all stand exactly as-is. Win-rate and PnL delta over this window is therefore 0.000. The only observable difference is that book_tonight.csv would exist, letting you audit whether the rejected NZDUSD/GBPUSD/EURUSD/USDCHF/EURJPY plans were even present in the day-book at signal time. OVER-TIME PROJECTION: Over 3–6 months this is pure observability infrastructure — no edge added, no edge removed, so expect Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com