14 posts tagged “trading”.
A five-day engineering log: how our Polymarket trading bot recorded limit prices instead of real fills, how we reconciled every historical trade against...
Rolling archive of ZenHodl's weekly live Polymarket results — record, per-sport P&L and win rate for every week, losing weeks included.
Practical architecture guide for building a Polymarket trading bot in Python in 2026 — the eight components you need, how they fit together, what to build...
Learn how Polymarket CLOB V2 fees work: per-market taker fees, zero maker fees, rebates, the fee curve, Polygon gas, and breakeven edge.
Corrected: our Polymarket trading bots are not profitable in aggregate. See the full retraction and per-market-type P&L breakdown, kept for reference.
An April 2026 snapshot of our Polymarket bots, plus a correction: the win rate and the on-chain claim were wrong. The live ledger is on /results.
Our bots' architecture, plus a correction: this post once published a +$2,400 P&L that was never true. Real figure: -$217.75 over 2,214 live trades.
We audited every bot, found the gaps between backtest and live performance, and fixed them. CS2, NBA, MLB, LoL, and Tennis — five different problems, five...
Every one of our bots holds to settlement instead of trading actively. Why patience beat activity on Polymarket, and the strategies that failed.
Real P&L from 5 live Polymarket bots trading NBA, MLB, NHL, NCAAMB, CS2, LoL, Tennis, and Soccer. Honest about what works and what doesn't.
Step-by-step Polymarket CLOB API guide in Python: authentication, reading orderbooks, fetching market data, and placing limit orders programmatically.
We backtested 237 trade signals with and without execution constraints. 99% of theoretical profit vanished. Here's what actually kills your trades — and...
How to get real-time sports scores using WebSockets in Python. Compares HTTP polling vs WebSocket streaming, with working code for building a live data feed.
A beginner's guide to automated trading on Polymarket. Learn how bots find edges using win probability models, and how to build your own.