Train your Muse agent to trade Kalshi daily-high temperature markets with discipline — not guesses. This is the exact system behind the trades tracked on HighTempToday — currently proving itself in Paper Mode: how the agent picks brackets, builds multi-leg slates, hedges risk, sizes positions, and knows when to cash out.
How the agent reads forecasts and live station data, demands a tight forecast spread, and only takes the bracket the forecast actually supports — modal or adjacent, nothing else.
One position per city, spread across time zones — East Coast, Central/Mountain, West Coast — so the whole day isn't riding on a single city's peak.
Hard per-ticket caps, a total daily budget, an uncommitted reserve, and a walk-away loss limit — set before the first order, not after a bad hour.
Entry only inside a set price band. If the ask runs more than a few cents above the plan, the agent skips the leg. No chasing — ever.
The pre-trade checklist: forecast source, station, bracket, price, fees, and cap — all stated up front and confirmed before a single order is placed.
A standing monitor checks open positions on a schedule and plans the exit when profit passes +50% — so a peak that comes and goes midday isn't money left on the table.
Every trade goes in a running ledger the day it happens, with a full end-of-week review — the habit that turns daily trading into data you can actually improve.
Education only — not financial advice. Trading on Kalshi involves risk, including the loss of your stake. This playbook teaches a process for training and running an AI agent; it does not guarantee profits, and past trades tracked on this site do not predict future results.