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live: train/test wallet-selection study + capital-constrained copy sims
strategy.py (train pre-May-30 / test June1+ on copy-ROI + z + consistency + diversification) and followability.py (entry-time/lead-time/cadence filter) surface wallets with real, copyable, out-of-sample edge (49/77 profitable forward, p=0.011, +23.4% pooled). pnl_basket.py / pnl_focused.py add $1000 capital-constrained copy sims with missed-trade accounting: the broad basket loses (can't follow 1,200 trades on $1k), but 1-2 wallets + a conviction (bet-size) filter clears out-of-sample. cache.py gains entry-time caching. Findings documented. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -62,6 +62,18 @@ turn into losers out-of-sample. **Don't copy favorite-riders.** The `value`
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archetype (beats underdog prices) is where real alpha may live — test it with
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`backtest_june.py value`.
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## Strategy backtests
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- `strategy.py` — train (pre-May-30) / test (June1+) wallet selection on copy-ROI
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+ z + monthly consistency + diversification. → `selection.json`.
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- `followability.py` — pull entry timestamps (cached), drop wallets whose edge is
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in un-followable fast/live markets, re-rank on followable forward bets. →
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`watch_final.json` (the execution-realistic list).
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- `pnl_basket.py` / `pnl_focused.py` — $1,000 capital-constrained copy sims with
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**missed-trade accounting**. Key result: the broad basket loses on $1k (can't
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follow 1,200 trades), but **1–2 wallets + a conviction (bet-size) filter clears**
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out-of-sample. See `../FINDINGS.md`.
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## Daily (`daily.sh`)
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1. discover (enumerate last 14d) → 2. freshen cache (force-refresh watchlist +
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