how to build Polymarket "always buy NO" bot
+$200-400/day PnL if you pick the right markets
everyone overcomplicates this. the "NO-maxi bot" strategy is literally: buy NO on outcomes that are structurally overpriced, wait for reality to catch up.
the part that matters isn't "genius insight", it's picking the right markets plus execution.
where the +$200-400/day comes from
it's not betting "no" everywhere. it's selectively loading up NO on multi-outcome ladders (FDV ranges, price targets, user metrics) where the top brackets are CT dreams priced way too rich.
if you're consistently capturing 5-15% edge per cycle across 20-30 outcomes and actually getting fills, +$200-400/day is just position sizing plus discipline.
first, the edge (why this isn't a meme)
polytrackhq research shows $40M+ arb profits from 86M trades came from exploiting pricing errors. "NO-maxi" is the retail version of the same logic on overhyped brackets.
so the goal is simple: find multi-outcome markets with fat tails, skip the base case, load NO on the fantasy brackets, let time and reality work.
what you actually need (minimal)
Python plus official py-clob-client (standard for Polymarket orders).
Telegram bot for alerts (don't stare at screen).
VPS so it runs 24/7 (don't run from laptop).
where people mess up: they try "always NO" on everything and get wrecked by the one outcome that hits. pick markets with obvious "dream vs reality" skew.
the bot loop (in plain English)
Pull multi-outcome markets (FDV ladders, price targets).
For each outcome: check if YES price exceeds realistic probability.
Buy NO on 3-5 fattest tails (skip base case).
Log market, outcomes, expected edge, fills.
Repeat on new ladders.
that's it. no AI, no news scraping, no predictions. just "overhype vs fundamentals".
where to get real references (not vibes)
PolyTrackHQ arb guide. exact logic for multi-outcome pricing errors.
py-clob-client PyPI. official client (no wrappers).
Polymarket Agents GitHub. framework for outcome looping plus orders.
r/arbitragebetting Reddit. discussions on non-atomic multi-order risk.
two real-world gotchas (that decide profit vs loss)
Outcome blowout: one crazy top bracket hitting wipes the basket. always skip the most likely 1-2 outcomes.
Resolution risk: ambiguous wording equals instant edge killer. read rules before loading up.
how to make it feel "pro" fast
Run only on high-volume ladders (FDV, price targets). fills matter more than theory.
Start with $50-100 per outcome until logs prove fills work, then scale.
Use official libs only. treat GitHub bots as hostile until audited.