Files
winning-wallet-finder/archive
jaxperro b6db6f3833 asymmetric price guard (better prices never blocked) + 0.95 entry cap
- guard: by rule, a price BELOW the sharp's fill always passes (strictly
  better odds; the symmetric guard once skipped a 0.70->0.51 improvement that
  won +$36). Only adverse drift is gated by price_guard_pct.
- entry cap: June sweep (0.75-1.0) peaked at max_entry 0.95 - >95c favorites
  added ~23 wins yet lowered final equity (slip+fee eat 1-3% payouts, capital
  compounds better elsewhere); deep caps cut real winners. Set in all configs
  + portfolio MAX_ENTRY (env-overridable for sweeps; PORTFOLIO_OUT added).
  Canonical June backfill: +716%, 219W/52L, $374 fees.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-02 23:35:51 -04:00
..

Archive — strategies that didn't work

These tools were built and tested during the research in ../FINDINGS.md. They all proved to be dead ends (the market is efficient / the metric was biased), so they're archived here for reference rather than deleted. Each one works as written — it's the strategy that didn't clear. They import smart_money/copytrade from the repo root, so to run one you'd adjust the import path.

File What it did Why it's here
copytrade.py Paper/live copy-trade engine — mirror a watchlist's entries/exits, % -of-bankroll sizing, price guard, per-position cap, Discord alerts. Copying entries is EV; followed wallets win ~50%. Backtested 48%.
backtest.py Replay a watchlist over a window, mark outcomes from resolution. The tool that proved copy-trading loses.
edge_research.py Scan ~2000 wallets for reliable weekly consistency (% green weeks, profit factor, Sharpe). "Consistent" wallets were mostly young accounts (survivorship); no durable edge.
lookback.py Deep-dive a wallet list over a long window, split into halves for out-of-sample reads. Showed the "best" wallets had <90 days of history.
table_77.py Aggregate a wallet set to CSV (ROI, total staked, consistency). Supported the above; ROI inversely related to size.
lp_screener.py Rank reward-eligible markets by risk-adjusted LP yield. The high APRs were illusory — see lp_paper.
lp_paper.py Paper liquidity-provision loop: simulate quoting, track net = rewards adverse selection. Polymarket refunds unearned reward pool; thin-book "jackpots" don't pay.
xarb.py Cross-venue scanner: match the same event on Polymarket vs Kalshi, flag price gaps. Venues priced efficiently (~1¢); both legs cost >$1 after fees.

The keeper that came out of all this lives at the repo root: insider.py.