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data_fetcher.py - MACRO_GAUGE_CONFIG: 15 → 29 tickers (+silver, vvix, skew, ovx, gvz, usdjpy, xlk, xlf, xlp, xlu, eem, emb, fxi, tlt) - 5 new derived metrics: silver_gold_ratio, xlk_xlp_momentum, xlf_spx_ratio, eem_spx_ratio, vol_surface_regime (composite classification) - ThreadPoolExecutor max_workers raised to 20 - score_macro_scenarios: +15 new variables; each of 8 scenarios enriched with vol-surface (SKEW, VVIX), sector rotation (XLK, XLF, XLP, XLU), EM/carry (EEM, EMB, USDJPY), long bonds (TLT), silver signals ai_analyzer.py - macro_ctx: 5 → 21 fields per pattern (vol surface, sectors, EM, carry, long bonds, silver/gold ratio — all with interpretation comments) - macro_section in scoring prompt: describes surface de vol regime, sector rotation, global/carry signals with explicit GPT instructions for pilier 3e - DEFAULT_ANALYSIS_TEMPLATE: pilier 3e expanded with SKEW/VVIX/OVX/GVZ guidance SIGNALS_FUTURES.md: reference document listing 30+ signals not yet available (FRED, CFTC COT, EIA, Baltic Dry, LME, credit spreads, hedge fund positioning, central bank balance sheets) with implementation priority and cost estimate. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>