Every prediction market trade should be triggered by a signal — a piece of information that suggests the market is mispriced. The traders who consistently profit are the ones with better signals, processed faster, than the competition. This guide catalogs the key signals across every Kalshi market category.

A signal is necessary but not sufficient. Even a strong signal is untradeable if the market is just order-book noise — and once a signal does fire, returns depend on how the position is sized, not just being right.

What Makes a Good Signal?

A useful trading signal has three properties:

  1. Informative: It actually predicts the outcome better than the current market price
  2. Timely: You can process it and trade before the market fully adjusts
  3. Systematic: It can be defined as a rule, not a vague intuition

Weather Market Signals

  • GFS/ECMWF model runs (every 6 hours) — the primary signal for temperature markets
  • HRRR updates (hourly) — high-resolution, best for same-day markets
  • MOS guidance — bias-corrected point forecasts
  • Model consensus divergence — when GFS and ECMWF disagree, uncertainty (and opportunity) is high

Sports Market Signals

  • Injury reports (NBA: 5:30 PM ET typical, NFL: various) — immediate impact on game and player prop markets
  • Lineup confirmations — especially for baseball (starting pitcher) and soccer
  • Betting line movement — sharp money moving traditional sportsbook lines often precedes Kalshi price moves
  • In-game events — live scoring, fouls, ejections that affect prop outcomes

Economic Market Signals

  • Component data — gasoline prices, used car indices, rent surveys (for CPI)
  • ADP report — 2 days before the official jobs number
  • Weekly jobless claims — leading indicator for monthly payrolls
  • Fed speaker commentary — hints about upcoming rate decisions
  • Treasury market moves — bond markets often price in economic data expectations before prediction markets

Reading these signals is only the start; converting them into positions is its own discipline. Our guide to trading economic indicators on Kalshi covers nowcasting models, tail calibration, and release-day timing in depth.

Building a Signal System

Our platform includes a signals feature that connects external data feeds to your trading bots. You can set up weather signals, price signals, and keyword monitoring — all triggering automated trades when conditions are met.

For custom signal processing, build your own using our Python bot framework.

Connect Signals to Bots

Our platform lets you watch signals and trade automatically — no manual monitoring required.

Try Signals →

MR

Marcus Rivera

Head of Quantitative Strategy

Marcus Rivera is Head of Quantitative Strategy at Bot for Kalshi. A former prop trader with a background in financial engineering, he now focuses exclusively on prediction market alpha. He's traded over $2M in prediction market volume across Kalshi and legacy futures exchanges.