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Position-Graded Profit Ratchet

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On Kalshi's BTC 15-minute market it checks every 10 seconds, capped at 20 contracts. It buys 10-contract yes or no positions when BTC price, momentum and short-term trend align with a tight spread, and sells everything on tiered profit targets or losses.

Kalshi·Aug 12 to Sep 11·Created 6d ago

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Describe an idea, review the backtest, and start from the same workspace.

Net P&L

+$410

Return +2051.6% on risk capital

Sharpe

0.51

Return Sharpe

Win rate

60.3%

1797 trades

Max drawdown

-$100

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.