Files
winning-wallet-finder/archive
jaxperro 716daeccc1 dynamic sizing: 4% of equity per bet, drawdown brake, per-event correlation cap
- engine (copytrade): stake_usd() = bankroll_pct x current equity (cash + open
  cost basis) - Kelly-style compounding both directions - halved while equity
  sits below 80% of its high-water mark; new risk.max_per_event (default 2)
  blocks stacking correlated markets on one real-world event (dated-slug prefix
  grouping; LSB1 once put 6 conviction bets on a single match).
- copybot: feed/summary report the dynamic stake, stake_pct, event_cap, hwm.
- portfolio backtest mirrors the exact same rule (PCT 4%, clamp $5-$150,
  EVENT_CAP 2, brake 80%/half), with per-bet stakes in every table row and a
  persistent CLOB slug cache for event grouping. June backfill: +426% vs +168%
  flat - compounding amplifies the in-sample month; July live is the test.
  Misses fell 62 -> 19 cash-missed (+26 deliberate event-cap skips): smaller
  early stakes capture more signals.
- configs: bankroll_pct 0.04, max_trade/max_position 150 (runaway guards),
  max_per_event 2.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-02 10:54:07 -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.