14 posts tagged “intermediate”.
Pragmatic seven-step workflow for integrating a sports prediction API into your trading bot, dashboard, or research pipeline — auth, polling cadence, edge...
Architecture and Python patterns for scanning live sports markets in real time and surfacing edge signals — WebSocket subscriptions, latency budgets, edge...
See how to turn calibrated ML probabilities into disciplined bets: position sizing, risk controls, and the honest limits of the math.
Most sports prediction models are accurate but not calibrated. Learn what calibration means, how to measure it, and how ZenHodl applies it across sports.
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.
The same game is priced differently on Polymarket, DraftKings, FanDuel and BetMGM. The devigging math, a multi-venue scanner architecture, and what our...
Our system finds dozens of trading signals per day. We trade 35% of them. The discipline to reject bad signals is worth more than the ability to find good...
Our NBA bot had 65% accuracy and was losing money — a calibration bug left it confidently wrong. How we found it, and why calibration beats accuracy.
Counter-Strike 2 has the widest mispricings on Polymarket. It also has the worst data infrastructure. Here's how we built a 4-tier model that handles both.
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.
A 6-feature model outperforms a 50-feature model at making money — even with a worse accuracy score. Here's why, and what it means for how you should...
A 65%-accurate model can be a money loser. A 53%-accurate well-calibrated one prints money. Here's how to measure calibration with Brier score and ECE...
A practical guide to backtesting sports betting and prediction market strategies in Python. Covers the common pitfalls — survivorship bias, look-ahead...