Kalshi variant 001 led the family with 0.00% ROI. The weakest completed variant

Starter is $19/month with 10 deploys per week. Upgrade as you grow.

It trades KXHIGHNY on Kalshi (NYC daily high temperature). Every 15 minutes, using LaGuardia weather data refreshed every 60 seconds, it buys 3 “no” contracts if price is above $0.50, current temperature is below 70°F, forecast high is at most 71°F, and time to expiry is at least 2 hours, with a total position cap of 10 contracts. It sells all holdings when the price drops below $0.30, current temperature reaches 72°F or higher, unrealized loss hits -$15, or time to expiry falls to 30 minutes or less.

Kalshi·May 24 to Jun 10·Created 1mo ago

Net P&L

Return 0.0% on risk capital

Sharpe

0.00

Return Sharpe

Win rate

0.0%

0 trades

Max drawdown

Peak to trough

A few notes on these numbers

Methodology: Backtests replay supported historical market data, usually a 30-day Studio window, and evaluate strategy rules on the available cadence. Signals can fill no earlier than the next tradable step. Taker fills use top-of-book prices or available L2 depth, with Kalshi-style fees where modeled. Queue position, latency, and future liquidity are not fully modeled. Simulated P&L is net of modeled fees over the window.
Starting capital: Kalshi backtests use the strategy's configured max position as the risk-capital denominator. Return is computed from that configured capital, while total P&L is still shown in dollars.
Past performance: Backtested results are hypothetical. They are derived from historical data and do not reflect live execution risks like slippage beyond the orderbook, partial fills, API latency, or venue outages. Past performance does not guarantee future results.
Not financial advice: Nothing on this page is investment, legal, or tax advice. Prediction markets carry real risk of loss. Only trade with money you can afford to lose, and do your own research before deploying any strategy live.

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