Hypothetical results, not investment advice. All performance shown is from backtests on historical data and should be assumed to be overfit. Past performance, real or simulated, does not predict future results. Ojo Network Inc. is not a registered investment adviser, broker-dealer, futures commission merchant, introducing broker, or commodity trading advisor. Trading prediction markets carries substantial risk, including total loss of funds. See the full Terms of Service before deploying.
Compare every parameter variant, sorted by net p&l. Open a row for the full backtest detail.
Same strategy idea, different parameter settings. Compare net P&L, Sharpe, win rate, date, range, venue, and stars before opening a specific backtest.
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10 variants
Range
15s loop · max 5 · floor 0.15 · ceil 0.7
V2
This strategy trades the KXHIGHCHI market on Kalshi every 15 minutes. It enters a yes bet when Chicago’s temperature is near the forecast high, the 3‑hour trend is not falling, wind is calm, and price is ≤ 0.70; it enters a no bet when temperature trails the forecast high by 7°F or more, the trend is not rising, and price is ≥ 0.30. Each entry uses 3 contracts, with a total position cap of 5. The strategy exits all positions if profit reaches $4, loss reaches $5, or expiry falls within 30 minutes.
Net P&L -$1-27.8% return
Sharpe -0.32
Win 50.0%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
1m loop · max 5 · floor 0.15 · ceil 0.7
V2
This strategy trades the KXHIGHCHI market on Kalshi. It checks every 60 seconds, using Chicago weather data. It buys Yes when the temperature is near the forecast high, wind is low, and conditions are stable; it buys No when the temperature is far below forecast and trending cooler. Each trade is 3 contracts, with a maximum position of 5. It exits all positions when profit reaches $4, loss hits $5, or time to expiry drops under 30 minutes.
Net P&L -$1-27.8% return
Sharpe -0.32
Win 50.0%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
45s loop · max 5 · floor 0.15 · ceil 0.7
V2
The strategy trades the KXHIGHCHI market on Kalshi, checking conditions every 45 seconds. It buys “yes” up to size 3 when Chicago weather data shows the temperature near the forecast high with moderate wind, or buys “no” up to size 3 when the temperature lags the forecast, as long as price and time-to-expiry criteria are met. It will sell all contracts if the unrealized profit reaches +4, loss reaches -5, or fewer than 30 minutes remain, with a maximum total position of 5 contracts.
Net P&L -$1-27.8% return
Sharpe -0.32
Win 50.0%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
30s loop · max 5 · floor 0.15 · ceil 0.7
V2
This strategy monitors the KXHIGHCHI market every 30 minutes. It buys yes if current Chicago temperature is within 2.5°F of the forecast high, the 3-hour forecast is not lower, and wind is light, while the contract price is below $0.70; it buys no if the temperature lags the forecast high by 7°F or more and no rise is expected, when price is above $0.30. It exits positions on a $4 profit, $5 loss, or within 30 minutes of expiry, and limits total exposure to 5 contracts.
Net P&L -$1-27.8% return
Sharpe -0.32
Win 50.0%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
1m loop · max 10 · floor 0.15 · ceil 0.7
V2
This Kalshi strategy checks the Chicago daily high temperature market every 60 seconds. It buys 'Yes' if temp near forecast high, 3h trend rising, wind ≤20 mph, price ≤70c; buys 'No' if temp at least 7F below forecast, trend not rising, price ≥30c, both with >2h to expiry. Exits on $4 profit, -$5 loss, or 30min to expiry; limited to 10 contracts.
Net P&L -$3-27.8% return
Sharpe -0.32
Win 66.7%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
45s loop · max 10 · floor 0.15 · ceil 0.7
V2
This strategy trades the KXHIGHCHI market on Kalshi, checking Chicago Midway weather every 45 seconds. It buys "yes" if the current temperature is near the forecast high, wind is low, and the contract price is at or below 0.70; it buys "no" if the temperature significantly lags the forecast high and is not rising, with price at or above 0.30. Each entry is 3 contracts, and total position is capped at 10. It exits all positions when unrealized profit hits $4, loss reaches -$5, or within 30 minutes of expiry.
Net P&L -$3-27.8% return
Sharpe -0.32
Win 66.7%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
15s loop · max 10 · floor 0.15 · ceil 0.7
V2
This strategy trades the KXHIGHCHI market on Kalshi, evaluating every 15 minutes. It buys 'yes' when Chicago's observed temperature is near the forecast high with light wind and price ≤ 70¢, or 'no' when the temperature lags the forecast significantly with price ≥ 30¢, each entry taking up to 3 contracts, with total positions capped at 10. It exits all positions if profit hits $4, loss hits -$5, or within 30 minutes of expiry.
Net P&L -$3-27.8% return
Sharpe -0.32
Win 66.7%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
30s loop · max 10 · floor 0.15 · ceil 0.7
V2
Trades the KXHIGHCHI market, evaluating every 30 seconds using Chicago weather data. Buys yes contracts when the temperature is near the forecast high, 3-hour temp not falling, wind low, price ≤ 0.70, and time ≥ 2h; buys no contracts when temperature is far below forecast, 3-hour temp not rising, price ≥ 0.30, time ≥ 2h. Positions limited to 3 contracts per entry and 10 overall. Exits on profit ≥ $4, loss ≥ -$5, or time ≤ 30 minutes.
Net P&L -$3-27.8% return
Sharpe -0.32
Win 66.7%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
15s loop · max 15 · floor 0.15 · ceil 0.7
V2
This strategy trades KXHIGHCHI on Kalshi every 15min using Chicago weather. It buys yes if temp is within 2.5°F of forecast high, 3h trend rising, wind ≤20mph, price ≤70¢, and ≥2h to expiry. Buys no if temp is ≥7°F below forecast, trend falling, price ≥30¢, ≥2h left. Each entry 3 contracts, max 15 total. Exit all at $4 profit, $5 loss, or 30m before expiry.
Net P&L -$4-27.7% return
Sharpe -0.32
Win 71.4%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.
30s loop · max 15 · floor 0.15 · ceil 0.7
V2
The strategy trades the Kalshi Chicago high temperature market (KXHIGHCHI), checking weather conditions every 30 seconds. It buys "yes" when the current temperature is within 2.5°F of the forecast high, the 3-hour trend is upward, and wind is calm; it buys "no" when the temperature is 7°F or more below forecast and the 3-hour trend is downward, each with 3 contracts. Total position cannot exceed 15 contracts, and all holdings are sold if profit hits $4, loss hits $5, or less than 30 minutes remain.
Net P&L -$4-27.7% return
Sharpe -0.32
Win 71.4%small sample
Jun 25
15d May 26 to Jun 10
Kalshi
I analyzed this as a hypothetical backtest, not a live track record. Return uses configured max-position risk capital, not account bankroll. Turbine is not a registered investment advisor or futures commission merchant and does not provide personalized advice. Prediction markets carry risk of loss.