# Agent Change Analysis Report **Date: 2026-03-21** **Author: Claude Code audit of Antigravity AI agent document** --- ## Executive Summary **FORK TEST RESULT: 0/2 PASS** — Both fork tests produce ~12% ROI vs gold 181.81%. The agent's claims are PARTIALLY correct in diagnosis but the remediation INTRODUCES new regressions. --- ## Test Results | Test | ROI | Trades | DD | Verdict | |------|-----|--------|-----|---------| | D_LIQ_GOLD perfect-maker (fork) | +12.83% | 1739 | 26.24% | FAIL ✗ | | D_LIQ_GOLD stochastic 0.62 (fork) | +5.92% | 1739 | 27.95% | FAIL ✗ | | replicate_181 style (no hazard call, float64, static vol_p60) | +111.03% | 1959 | 16.89% | FAIL ✗ | | Gold reference | +181.81% | 2155 | 17.65% | — | --- ## Root Cause Analysis ### Cause 1: `set_esoteric_hazard_multiplier(0.0)` in exp_shared.run_backtest The agent added `eng.set_esoteric_hazard_multiplier(0.0)` to `exp_shared.run_backtest`. With the new ceiling=10.0: - Sets `base_max_leverage = 10.0` on a D_LIQ engine designed for 8.0 soft / 9.0 hard - On unboosted days: effective leverage = 9.0x (vs certified 8.0x) - 5-day comparison confirms: TEST A at 9.0x amplifies bad-day losses more than good-day gains **Effect**: Variance increase that over 56 days results in 12.83% vs 111% (replicate style) ### Cause 2: Rolling vol_p60 (lower threshold on some days) The rolling vol_p60 can be LOWER than static vol_p60 (especially after quiet days like Jan 1 holiday). This allows more bars to trade in low-quality signal environments. Day 2 (Jan 1): TEST A vol_ok=1588 bars vs TEST B=791 (2× more eligible, vp60=0.000099 vs 0.000121). More trades on bad signal days → net negative over 56 days. ### Cause 3: Pre-existing regression (111% vs 181.81%) Even WITHOUT the agent's specific exp_shared changes, the current code produces 111%/1959 vs gold 181.81%/2155. This regression predates the agent's changes and stems from: 1. **ACB change**: `fund_dbt_btc` (Deribit funding) now preferred over `funding_btc`. If Deribit funding is less bearish in Dec-Feb 2026 period, ACB gives lower boost → lower leverage → lower ROI. 2. **Orchestrator refactoring**: 277+ lines added (begin_day/step_bar/end_day), 68 removed. Subtle behavioral changes may have affected trade quality. --- ## Verdict on Agent's Claims | Claim | Assessment | |-------|-----------| | A. Ceiling_lev 6→10 | CORRECT in concept: old 6.0 DID suppress D_LIQ below certified 8.0x. But fix leaves `set_esoteric_hazard_multiplier(0.0)` in run_backtest, which now drives to 9.0x (not 8.0x) — over-correction. | | B. MC proportional 0.8x | NEUTRAL for no-forewarner runs (forewarner=None → never called). | | C. Rolling vol_p60 | NEGATIVE: rolling vol_p60 can be lower than static, enabling trading in worse signal environments. | | D. Float32 / lazy OB | NEUTRAL for trade count (float32 at $50k has sufficient precision; OB mock data is date-agnostic). | --- ## Confirmed Mechanism (leverage verification) Direct Python verification of the hazard call effect: ``` BEFORE set_esoteric_hazard_multiplier(0.0) [ceiling=10.0]: base_max_leverage = 8.0 (certified D_LIQ soft cap) bet_sizer.max_leverage = 8.0 abs_max_leverage = 9.0 (certified D_LIQ hard cap) AFTER set_esoteric_hazard_multiplier(0.0) [ceiling=10.0]: base_max_leverage = 10.0 ← overridden! bet_sizer.max_leverage = 10.0 ← overridden! abs_max_leverage = 9.0 (unchanged — abs is not touched by hazard call) ``` Result: effective leverage = min(base=10, abs=9) = **9.0x on ALL days**. D_LIQ is certified at 8.0x soft / 9.0x hard. The hard cap should only trigger on proxy_B boost events. The hazard call **unconditionally removes the 8.0x soft limit** — every day runs at 9.0x. --- ## The Real Problem The gold standard (181.81%) was certified using code where **`set_esoteric_hazard_multiplier` was NOT called in the backtest loop**. The replicate_181_gold.py script (which doesn't call it) was the certification vehicle. The agent's fix (ceiling 6→10) was meant to address the case WHERE `set_esoteric_hazard_multiplier(0.0)` IS called. With ceiling=6.0: sets base=6.0 < D_LIQ's 8.0 → suppresses leverage. With ceiling=10.0: sets base=10.0 > D_LIQ's abs=9.0 → raises leverage beyond certified. Both are wrong. **Correct fix**: Remove `eng.set_esoteric_hazard_multiplier(0.0)` from `exp_shared.run_backtest`, OR don't call it when using D_LIQ (which manages its own leverage via extended_soft_cap/extended_abs_cap). --- ## Gold Standard Status The gold standard (181.81%/2155/DD=17.65%) **CANNOT be replicated** from current code via ANY tested path: - `exp_shared.run_backtest`: 12.83%/1739 (agent's hazard call + rolling vol_p60 + 9x leverage) - `replicate_181_gold.py` style: 111.03%/1959 (pre-existing regression from orchestrator/ACB changes) The agent correctly identified that the codebase had regressed but their fix is incomplete.