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Strategy Articles

14 posts tagged “strategy”.

clv sports-betting polymarket

Closing Line Value (CLV): How to Measure It—and Its Limits

Closing Line Value compares an entry with a consistently defined market close. Learn the math, pregame use cases, sample uncertainty, and in-play limitations.

risk-management polymarket prediction-markets

How to Hedge a Sports Bet: The Math of Locking In Profit

Hedging means buying the other side of your own bet to lock a profit or cap a loss. The math, when it beats letting the position ride, and a correction...

sports-betting betting-math sportsbooks

Parlay Betting Math: Why Parlays Pay So Much (and Why You Still Lose)

The real math of parlays: combined odds, compounding vig, breakeven win rates, and when (if ever) a parlay is positive expected value.

polymarket backtesting historical-data

Backtesting Polymarket Strategies: Tools, Datasets, and the Depth Data Problem

Compare Polymarket price history, recorded book quotes and L2 depth for backtests. Check clocks, costs and capture gaps before choosing a dataset.

polymarket backtesting strategy

Polymarket Paper Trading: How to Test Strategies Without Risking Money in 2026

Polymarket has no built-in paper trading mode. Here are the real options for testing strategies without risk — Manifold Markets, historical price...

kalshi nfl infrastructure

Kalshi NFL MVP Market: How to Read Live Odds, Volume, and Find Edge in 2026

Structural guide to the Kalshi NFL MVP market — how multi-outcome contracts work, how to read per-player implied probabilities, seasonal liquidity...

infrastructure python strategy

How to Build a Real-Time Edge Signals Scanner for Sports Markets

Architecture and Python patterns for scanning live sports markets in real time and surfacing edge signals — WebSocket subscriptions, latency budgets, edge...

strategy machine-learning risk-management

Betting Strategies With Calibrated ML Probabilities (Without Going Broke)

See how to turn calibrated ML probabilities into disciplined bets: position sizing, risk controls, and the honest limits of the math.

risk-management prediction-markets polymarket

Kelly Criterion for Prediction Markets: How to Size Your Bets Without Going Broke

The Kelly Criterion tells you the mathematically optimal bet size when you have an edge. Most traders bet 2-4x too much. Here's the formula, the Python...

polymarket trading strategy

How Our Polymarket Trading Bots Work — Strategy, and a Correction

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.

strategy risk-management polymarket

Why We Reject 65% of Our Own Trading Signals

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...

strategy polymarket prediction-markets

Hold to Settlement: Why We Never Sell Our Prediction Market Positions

Every one of our bots holds to settlement instead of trading actively. Why patience beat activity on Polymarket, and the strategies that failed.

strategy machine-learning intermediate

Why Simple Models Beat Complex Ones in Sports Betting

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...

backtesting python strategy

How to Backtest a Sports Betting Strategy in Python (Without Fooling Yourself)

A practical guide to backtesting sports betting and prediction market strategies in Python. Covers the common pitfalls — survivorship bias, look-ahead...