Kalshi variant 005 led the family with 2.90% ROI. The weakest completed variant

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

This strategy checks Kalshi's KXHIGHNY market every minute. It buys Yes when temperature is near the forecast high with light wind, price under 0.70, and time above 2h; or buys No when temperature lags far below, price above 0.30, and time above 2h. Entries are 3 contracts, capped at 10 total. It exits on profit over $4, loss over $5, or within 30m of expiry.

Kalshi·May 21 to Jun 10·Created 1mo ago

Net P&L

-$10

Return -100.0% on risk capital

Sharpe

-0.40

Return Sharpe

Win rate

0.0%

30 trades

Max drawdown

-$10

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.

← Strategies

Kalshi variant 005 led the family with 2.90% ROI. The weakest completed variant

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

Kalshi·May 21 to Jun 10·Created 1mo ago

Net P&L

-$10

Return -100.0% on risk capital

Sharpe

-0.40

Return Sharpe

Win rate

0.0%

30 trades

Max drawdown

-$10

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.