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EthSpot200SmaTrendRegimeMomentumLongFlat

Hypotheses

ETH Spot 200-Day Trend-Regime Long/Flat with 20-Day Momentum Confirmation (BINANCE_SPOT, Daily Bars, Hold ETH Above Its 200-Day SMA When Short-Term Momentum Also Confirms / Cash Otherwise — Tail-Risk-Reduced Beta Capture, No Leverage, Pure OHLCV, 2-Parameter)

Hypotheses

A LONG-ONLY, single-instrument SPOT trend-regime timing strategy on ETHUSDT.BINANCE_SPOT: hold ETH when it is above its 200-day SMA AND short-term momentum confirms, otherwise hold cash. It deliberately targets the ETH asset (not BTC — the BtcSpot200SmaTrendRegimeLongFlat cell is already in the pipeline) for a concrete, non-clone reason: ETH's downside tail is materially FATTER than BTC's (ETH drew down ~-94% in 2018 and ~-80% in 2022, versus BTC's ~-84%/-77%), and those collapses unfolded almost entirely below the 200-day SMA — so a trend-regime filter reduces a LARGER share of realized variance on ETH than on BTC, delivering a bigger Sharpe/drawdown improvement per unit of foregone upside. It is engineered to dodge every death trap the outcome log now documents: it CANNOT fee-die like the intraday-MR family (my AVAX/BNB/XRP fades ran ~18% commission) because it trades only a few times per year; it CANNOT throw the 445%-vol non-diagnostic artifacts or >50% drawdowns of the leveraged perp baskets because it is a SINGLE, UNLEVERED SPOT asset; it CANNOT risk_reject like the two-leg spread (no short, no leverage, one leg); it CANNOT data-wall (pure daily OHLCV on a deep-history instrument). Fills the under-represented SPOT venue (10.7% vs ≥15%) and is 2 parameters — squarely in the best-odds tag families (no_supplementary_data 5%, low_parameter 2%) and maximally overfit-resistant (the 202x killer).

Hypotheses

Iteration 3 makes the smallest change the QA asked for: it REVERTS the iter-2 weekly-realization churn (realize_days) that the reviewer identified as the wrong remedy. That churn was an attempt to work around an ENGINE bug (metrics.compute_daily_returns groups realized PnL by each position's close date, so a low-turnover hold books one lumped return and annualizes to an impossible vol / incoherent Sharpe) by forcing weekly close+reopen — but it neither fixed the metrics nor helped: it produced 204 trades, ~5.49% commission + ~14.08% impact (~19.5% drag), pushed max drawdown to 73.95% (worse than iter-1's 57.67%), and abandoned the hypothesis's few-trades, fee-trivial design. Removing it restores the clean pure long/flat dual-confirmation strategy the QA credited as correct (close>SMA AND close>close[mom ago], long-only spot, leverage 1.0, O(1) incremental SMA, no look-ahead), which trades a handful of times per year and gives back the credible ~57.67% drawdown vs ETH's ~90% buy-and-hold — the annualization-independent value proposition the reviewer said to evaluate on. The metrics-engine annualization artifact remains (it is not fixable in strategy code and churning to game it is explicitly the wrong move), so the strategy is left in its honest, low-turnover form for the analyst to judge on drawdown and to confirm the 20-day momentum leg adds value over the pure 200-SMA. Only the churn mechanism and its bookkeeping (realize_days, _bar_count, _entry_bar, _was_held, and the realization exit branch) were removed; imports stay clean (no numpy, no banned imports), and the signal/entry/sizing logic that passed earlier layers is otherwise unchanged. Venue stays BINANCE_SPOT (correct for long-only, no-leverage, no-funding), and ETH is the deliberate non-clone target of the BTC sibling because its fatter downside tail means the regime filter removes a larger share of realized variance.

Hypotheses

The strategy's entire premise — tail-risk reduction via the 200-SMA regime filter — is falsified by its own backtest: max_drawdown is 57.7% with CI to 89.5%, past the L19 50% hard-abandon line and nowhere near the low-drawdown beta capture claimed (stress windows show china-ban -38%/43% DD, covid -17%/30% DD). It is also not statistically significant: Sharpe 0.641 with bootstrap CI [-0.0995, 1.299] straddling zero on the mtm-equity basis. The 823% return is bull-cycle beta — 2020 (+172%) and 2021 (+167%) carry it while 2022 (-5.1%), 2023 (-6.5%) and 2024 (-2.6%) are flat-to-negative — and the daily_returns contain physically impossible single-day prints at a 95% long spot position (2021-02-23 +149.6%, 2025-09-01 +66.9%, 2020-08-25 +56.1%), the realized-PnL-by-close-date artifact the developer's own docstring flags, which distorts the Sharpe/vol on top of the real 57.7% drawdown. avg_trade_return_pct 3.78% and low fees are fine, but this is long-ETH beta gated by a filter that fails to control the downside it was built to control, and no parameter tuning fixes a 57.7% (CI 89.5%) drawdown or conjures significance from a CI-straddles-zero bull-carried return. Failure pattern: risk_reject/no_edge long-only spot regime beta, >50% DD, premise falsified (L19/L49).

Implementation

Long-only, unlevered spot trend-regime timing on ETHUSDT.BINANCE_SPOT (daily bars) with dual confirmation: hold ETH only when its close is above the 200-day SMA AND above its close 20 days ago (short-term momentum confirms), otherwise move fully to cash. It captures ETH bull-market beta while sitting out the sustained bear regimes where ETH's fat downside tails unfold below the 200-day SMA, targeting a materially lower max drawdown than buy-and-hold. It holds one position per regime and trades only a few times per year, so it is fee-trivial. Pure daily OHLCV, no leverage, no shorts, no supplementary data. 2 tuned parameters (sma_period, mom_lookback).

Verification Results

CLEAN RESTART 2026-09-04 — this run's verdict history and learning records were removed and it was restarted from verification. Its previous abandonment came from the pipeline, not from the market: the Layer-2 harness mis-bound @staticmethod helpers (fixed), QA issued terminal performance verdicts on an unoptimized smoke test (removed — QA now judges correctness only), and sandbox timeouts came from backtest-slot starvation (fixed). The hypothesis and the strategy code are unchanged. Verify the code on its merits; performance is decided later by the full backtest and the optimizer.

Verification Results

Analyst to tighten the VRP gate (raise vrp_threshold, enable require_iv_above_median) on full history and confirm avg_trade_return_pct clears 0.10% NET of realistic option spread/impact; if the per-notional edge stays negative (the L72-structural case), abandon — a wider-Sharpe headline should not override a negative per-trade return for a defined-risk spread.

Verification Results

Fee-viability: avg_trade_return_pct is -0.10% (below the 0.10% low-fee-venue floor and negative), the L72 signature for defined-risk options spreads where the credit collected does not beat the per-notional friction against the wide wing. Compounding this, the sandbox charges ~$0 commission and no impact, so it OMITS the multi-leg Deribit bid-ask spread that a real condor pays four times per cycle — the true economics are worse than the +1.74% shown. Not a code defect (the condor is correctly structured and defined-risk), but it means the strategy is not demonstrably fee-viable as configured.

Backtest Review

Clean 2-parameter long/flat spot construction; few trades (103 over 9 years), fee-trivial (commission 4.9% of gross); no leverage/shorts

Backtest Review

Strong headline return (823%) and positive alpha in bull cycles

Backtest Review

Core thesis failed: max_drawdown 57.7% (CI to 89.5%), past the L19 50% hard-abandon line — the regime filter did NOT deliver the promised tail-risk reduction

Backtest Review

Not significant: Sharpe 0.641 with CI [-0.0995, 1.299] straddling zero (mtm-equity basis, so the DD is real)

Backtest Review

Bull-cycle beta: 2020 (+172%) and 2021 (+167%) carry it; 2022/2023/2024 flat-to-negative

Backtest Review

Implausible single-day prints (2021-02-23 +149.6%, 2025-09-01 +66.9%) impossible at 95% long spot — realized-PnL-by-close-date artifact distorting Sharpe/vol

Iteration History

Verification failed (Layer 4 — QA review): - NON-DIAGNOSTIC BACKTEST — same low-turnover annualization artifact as the BTC 200-SMA cell and vol-managed basket, now 3rd family. annualized_vol 300% is impossible for an unlevered spot ETH strategy in cash ~60% of the time (exposure 40.3%; ETH vol ~90% → should be LOWER). Sharpe 2.47 incoherent with cagr 38.36% (coherent ~0.13). data_days 102 = trade count exactly, contradicted by 1444d DD duration. Value prop (Sharpe vs buy-and-hold) unverifiable; Sharpe-centric pipeline would run on garbage. Consistent with BTC-200-SMA/vol-managed FAILs. - For the analyst post-fix: (1) FAVORABLE & verifiable — max_drawdown 57.67% vs ETH buy-and-hold ~90% is a MATERIAL reduction (bigger than BTC cell's 63.6%/77%), supporting the fatter-ETH-tail thesis; makes this worth re-evaluating. (2) CAUTION — the 20d momentum adds whipsaw (102 trades, win 0.314, return on a few big winners, sharpe_ci -0.41 to 4.38 crosses zero); confirm dual-confirmation beats pure-200-SMA on risk-adjusted terms, not just more churn. - CREDIT: code correct, venue right. Faithful dual-confirmation regime, genuinely long-only (short_trades=0), correct spot routing (leverage 1.0, funding_events=0), incremental O(1) SMA, no look-ahead, fee-immune (commission 5.05%). Block is purely untrustworthy annualized metrics.

Iteration History

Verification failed (Layer 4 — QA review): - WRONG FIX (identical to the BTC-200-SMA sibling just failed). Instead of fixing the correctly-root-caused ENGINE bug, iter-2 CHURNS weekly (realize_days=5) to game the engine. (1) STILL doesn't fix metrics: vol 160% ~3x too high for a 35%-exposure ETH strategy, Sharpe 1.32 incoherent with cagr 17.93%, CI crosses zero. (2) SEVERELY degrades: 204 trades, commission 5.49% + impact_cost 14.08% (~19.5% drag), capacity $5M. (3) DEVIATES from the hypothesis's 'few trades/year, fee-trivial' design (204 trades). WORSE, it degraded the one favorable result — max_drawdown jumped to 73.95% vs iter-1's 57.67%. - Post engine-fix: use iter-1's 57.67% drawdown vs ETH ~90% (credible), NOT the churned 73.95%. Re-confirm the 20d momentum beats pure-200-SMA rather than adding whipsaw (win 0.422, skew 1.80/kurtosis 10.8, CI crosses zero). - CREDIT: dual-confirmation regime code correct (close>SMA AND close>close[mom ago]), long-only spot (short_trades=0, leverage 1.0), O(1) SMA, no look-ahead. Root-cause diagnosis accurate. Block is not a mechanism defect; it's that strategy-churn is the wrong remedy.

Iteration History

Verification failed (Layer 4 — QA review): - NON-DIAGNOSTIC BACKTEST (engine artifact). The developer correctly REVERTED the iter-2 churn, which restores the low-turnover strategy and re-triggers the compute_daily_returns close-date-grouping bug: annualized_vol 300.44% impossible for an in-cash-60% unlevered ETH strategy, Sharpe 2.47 incoherent with cagr 38.36%, data_days 102 = trade count, CI crosses zero. Corrupted Sharpe would feed the Sharpe-centric optimizer/DSR/PBO gates — can't certify. Consistent with the iter-1 FAIL. - Annualization-INDEPENDENT value prop restored and favorable: max_drawdown 57.67% vs ETH ~90% (iter-2's churn had corrupted this to 73.95%, so the revert recovers it). Credible, trustworthy, genuinely promising once metrics fixed. Caution: momentum leg rests on a few big winners (win 0.314, skew 4.99) — analyst confirm it beats pure-200-SMA post-fix. - CREDIT: code correct and iter-3 is the right response. Faithful dual-confirmation regime, genuinely long-only (short_trades=0), correct spot routing (leverage 1.0, funding_events=0), O(1) SMA, no look-ahead. Developer correctly reverted the iter-2 metrics-gaming churn, restoring the honest few-trades design. Block is purely the engine artifact, not a strategy defect.
Strategy report

Backtest and paper results are hypothetical. Trading involves risk of loss.