The OddsPit Blog

Election markets are the most liquid and most noisy on Kalshi. Where the repeatable edge actually lives.

The behavioral and structural reasons prediction-market accounts bleed — and the disciplined habits that separate winners.

A complete walkthrough of the 14 quantitative signals OddsPit uses to surface real edge on Kalshi — what each one measures, how it's scored, and how to act on it.

Providing liquidity on Kalshi: how maker rebates, inventory risk, and the Maker Execution signal combine into a market-making edge.

Regulation, liquidity, settlement, and the cross-platform arbitrage that opens up when the two largest US-accessible prediction markets disagree.

Two free signals, one short-term playbook: how to trade the final week before resolution.

Position sizing is half the game. A practical guide to Kelly and expected-value ranking for Kalshi edges.

The academic finding that YES contracts are systematically overpriced — and how OddsPit turns it into a repeatable NO-bias edge.

From signal to system: how to turn OddsPit scores into a repeatable, backtested Kalshi trading process with risk rules.

How OddsPit turns headlines into tradable signals — and how to avoid getting faked out by stale or misleading news.

Exact execution steps for locking risk-free edge when Kalshi and Polymarket disagree, including sizing, settlement, and float risk.

When BTC, ETH, or SOL move, Kalshi crypto markets lag. Here is the log-normal model OddsPit uses to catch it.

Never traded a prediction market? Start here: what Kalshi is, how contracts settle, and how to place your first edge-backed trade.