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jaxperro 7536379023 Add cross-venue scanner (xarb.py); verdict: PM<->Kalshi is efficient
xarb.py pulls Polymarket (Gamma) + Kalshi (elections API, ~65k markets),
matches the same contract (token overlap + same resolution month + exact
numeric match on thresholds/scores/dates), and computes both arb directions
with Kalshi's 0.07*P*(1-P) taker fee.

Verified verdict: no retail cross-venue arb. On liquid, identical, cleanly-
matched contracts the venues agree to ~1c and locking both sides costs >$1
after fees (worked example: Brazil-Morocco BTTS, PM 0.46/0.47 vs Kalshi
0.47/0.48 -> every direction negative). The big apparent edges are false
matches, illiquid wide-spread markets, or stale snapshot timing.

README now records the full project conclusion: six systematic public-data
edges tested, all efficient/illusory. Durable edge needs speed/infra, private
information, or liquidity provision -- not a turnkey public-data scanner.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-13 12:31:34 -04:00

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__pycache__/
*.pyc
.DS_Store
# never commit live credentials or runtime state
config.json
copytrade_state.json
*.log
*.tmp
# generated research data (regenerable via edge_research.py / table_77.py)
edge_metrics.jsonl
edge_profitable.json
copyable_77.csv
lp_markets.csv
follow_10.json
lp_paper_state.json
# cross-venue scanner output
xarb_hits.csv