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.
Kalshi variant 005 led the family with 2.90% ROI. The weakest completed variant
Same strategy idea, different parameter settings. Compare net P&L, Sharpe, win rate, date, range, venue, and stars before opening a specific backtest.
Click a column header to sort variants.
1k+ variants
Range
30s loop · max 10 · floor 0.15 · ceil 0.7
V2
This strategy trades the Kalshi market KXHIGHNY, evaluating every 30 minutes using weather data from LaGuardia airport. It buys Yes if the temperature is close to the forecast high and rising with light wind, or buys No if the temperature is far below the forecast and falling; it sells all when profit reaches $4, loss reaches -$5, or 30 minutes before expiry. Positions are limited to 3 contracts per signal and 10 total.
Net P&L +$0+2.9% return
Sharpe 0.05
Win 16.7%
Jun 20
20d May 21 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 KXHIGHNY market every 45 seconds. It buys Yes when temperature is near forecast high, wind is light, and price ≤ 0.70 with at least 2 hours left; buys No when temperature lags forecast by ≥7°F, 3-hr trend is falling, price ≥ 0.30 with 2+ hours left. Exits on $4 profit, $5 loss, or near expiry. Each entry 3 contracts, max position 10.
Net P&L +$0+2.9% return
Sharpe 0.05
Win 16.7%
Jun 20
20d May 21 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 trades Kalshi's KXHIGHNY market every minute. It buys yes if current temperature is near forecast high (within 2.5°F) with rising trend, low wind, price ≤ $0.70, and >2h to expiry, size 3. It buys no if temperature lags forecast by ≥7°F with falling trend, price ≥ $0.30, >2h left, size 3. Exits sell all when profit ≥ $4, loss ≤ -$5, or ≤30m left. Max total position 10 contracts.
Net P&L +$0+2.9% return
Sharpe 0.05
Win 16.7%
Jun 20
20d May 21 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 KXHIGHNY market on Kalshi, checking weather conditions at LaGuardia airport every 15 minutes. It buys 'yes' contracts if the temperature is near the daily forecast high and wind is calm, or buys 'no' if temperatures lag far below forecast with no warming trend, both when price is favorable and expiry is at least 2 hours away. Entries are 3 contracts, total position capped at 10, and all positions are sold if profit hits $4, loss reaches $5, or expiry nears 30 minutes.
Net P&L +$0+2.9% return
Sharpe 0.05
Win 16.7%
Jun 20
20d May 21 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 Kalshi market on New York City's daily high temperature, checking every minute. It buys YES if the temperature is near the forecast high with a non-falling trend and light wind, or buys NO if it's far below forecast with a non-rising trend, each entry using up to 3 contracts but total position never exceeds 5 contracts. It exits all positions when unrealized profit reaches $4, loss reaches -$5, or less than 30 minutes remain until expiry.
Net P&L +$0+2.4% return
Sharpe 0.04
Win 16.7%small sample
Jun 20
20d May 21 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
This Kalshi KXHIGHNY strategy runs every 45 seconds using LaGuardia weather. It buys yes when temperature is near the forecast high, wind light, price ≤0.70; buys no when temperature lags forecast by ≥7°F, price ≥0.30, both require >2h left. Exits at $4 profit, -$5 loss, or 30min to expiry. Max 3 per trade, 5 total contracts.
Net P&L +$0+2.4% return
Sharpe 0.04
Win 16.7%
Jun 20
20d May 21 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 5 · floor 0.15 · ceil 0.7
V2
This strategy trades the KXHIGHNY market on Kalshi, checking every 15 minutes using weather data from LaGuardia. It buys YES when the temperature is near the forecast high, wind is light, and price is at most 0.7; or buys NO when the temperature is far below the forecast and cooling, with price at least 0.3. Each entry uses 3 contracts, total position is capped at 5, and all contracts are sold if unrealized profit hits 4, loss hits -5, or 30 minutes before expiry.
Net P&L +$0+2.4% return
Sharpe 0.04
Win 16.7%small sample
Jun 20
20d May 21 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
The strategy trades the KXHIGHNY market on Kalshi. Every 30 seconds, it checks current weather at LaGuardia: if temperature is near the forecast high with a rising trend and light wind, it buys "yes"; if far below and falling, it buys "no", each trade using 3 contracts (maximum 5 total). All positions are sold if unrealized profit reaches $4, loss hits $5, or only 30 minutes remain until expiry.
Net P&L +$0+2.4% return
Sharpe 0.04
Win 16.7%
Jun 20
20d May 21 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 0.85
V2
This strategy trades the KXHIGHNY market every 45 seconds, using LaGuardia weather data. It buys "yes" when the temperature is near the forecast high, rising, and wind is low with a price under $0.70, or buys "no" when it's far below forecast and not rising with a price over $0.30. Each entry uses up to 3 contracts, overall position is capped at 5, and all contracts are sold if unrealized profit hits $4, loss reaches -$5, or 30 minutes before expiry.
Net P&L -$0-7.6% return
Sharpe -0.01
Win 16.7%
Jun 20
20d May 21 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 0.9
V2
It trades KXHIGHNY on Kalshi every minute. It buys yes when current temp is near the forecast high, the 3-hour trend is rising, wind is low, price is under 0.70, and over 2 hours remain; buys no when temp lags forecast by at least 7°F with a falling 3-hour trend and price above 0.30. Entries use 3 contracts, max position 5. Exits trigger at profit 4, loss -5, or under 30 minutes left.
Net P&L -$0-7.6% return
Sharpe -0.01
Win 16.7%
Jun 20
20d May 21 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 0.85
V2
This strategy trades the KXHIGHNY market on Kalshi, checking weather conditions every 60 seconds. It buys Yes when the current temperature is near the forecast high and expects it to stay high, or No when it’s far below and unlikely to rise, each with a size of 3 contracts. Positions are limited to 5 contracts total, and exits occur at a profit of $4, loss of $5, or 30 minutes before expiry.
Net P&L -$0-7.6% return
Sharpe -0.01
Win 16.7%
Jun 20
20d May 21 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 the KXHIGHNY market every 15 minutes with New York weather data. It enters a yes position when the temperature is near the forecast high, warming, and wind is light, and a no position when the temperature lags far below the forecast and is cooling. Position size is 3 contracts per signal, capped at 15, with exits triggered by $4 profit, $5 loss, or 30 minutes to expiry.
Net P&L -$0-3.2% return
Sharpe 0.02
Win 16.7%
Jun 20
20d May 21 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 15 · floor 0.15 · ceil 0.7
V2
This strategy trades the KXHIGHNY market on Kalshi. It evaluates every hour using LaGuardia weather: buying "yes" when temperature is close to forecast high, 3-hour trend is not dropping, and wind is low, with price ≤70¢; buying "no" when temperature lags by 7+ degrees, 3-hour trend isn't rising, and price ≥30¢. Each entry is 3 contracts, max position 15, and only between prices 15¢–70¢ and >2h to expiry. It exits all at ≥$4 profit, ≤-$5 loss, or ≤30min left.
Net P&L -$0-3.2% return
Sharpe 0.02
Win 16.7%
Jun 20
20d May 21 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 0.85
V2
This system trades the Kalshi market for New York City's daily high temperature. It checks weather conditions at LaGuardia every 30 seconds, entering 'yes' if the temperature is near the forecast high with rising trend and low wind, or 'no' if it's far below forecast and falling. It exits when profit reaches $4, loss reaches -$5, or 30 minutes before expiry, with a maximum of 10 contracts total.
Net P&L -$1-6.7% return
Sharpe 0.00
Win 16.7%
Jun 20
20d May 21 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 0.85
V2
It trades the KXHIGHNY market on Kalshi, evaluating every 45 seconds. It buys YES when current temperature is close to forecast high, wind is calm, price is low, and time remains; buys NO when temperature lags far below forecast, price is high, and time remains. Each entry is size 3. It exits entirely if profit reaches $4, loss hits -$5, or less than 30 minutes to expiry. Position never exceeds 10 contracts.
Net P&L -$1-6.7% return
Sharpe 0.00
Win 16.7%
Jun 20
20d May 21 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 0.85
V2
This trades the Kalshi KXHIGHNY market, checking every 15 seconds using New York LaGuardia weather data. It buys Yes if the temperature is within 2.5 degrees of the forecast high and the 3‑hour trend is rising under light wind, or buys No if the temperature lags the forecast by 7 degrees with a falling trend. It exits all positions when profit reaches $4, loss reaches $5, or within 30 minutes of expiry, while capping total contracts at 10 and keeping prices between $0.15 and $0.85.
Net P&L -$1-6.7% return
Sharpe 0.00
Win 16.7%
Jun 20
20d May 21 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 15 · floor 0.15 · ceil 0.75
V2
Every 45 seconds, this strategy checks New York City weather (temperature, wind) and the KXHIGHNY market. It buys Yes if the temperature is near forecast high and rising with light wind, and buys No if the temperature is far below forecast and falling. Entries are 3 contracts each, up to 15 total. It exits all positions when unrealized profit reaches 4, loss hits -5, or less than 30 minutes to expiry.
Net P&L -$1-6.0% return
Sharpe 0.00
Win 16.7%
Jun 20
20d May 21 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 0.75
V2
The strategy trades the KXHIGHNY market every 30 minutes, using weather data from LaGuardia. It buys yes if the temperature is close to the forecast high with rising trends and low wind, or buys no if the temperature significantly lags the forecast, each trade sized at 3 contracts with a 15-contract position cap. It exits all positions when the unrealized profit reaches $4, the loss hits -$5, or less than 30 minutes remain until expiry.
Net P&L -$1-6.0% return
Sharpe 0.00
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the KXHIGHNY market on Kalshi, checking weather conditions every 60 seconds. It buys YES if the current temperature is near the forecast high and wind is calm, or buys NO if the temperature is far below the forecast, entering with 3 contracts each, limited to 5 total. It sells all when up $4, down $5, or when expiry is within 30 minutes.
Net P&L -$1-21.6% return
Sharpe -0.15
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the KXHIGHNY market every 45 minutes, using weather data from LaGuardia. It buys yes if temperatures are near the forecast high with warming 3-hour outlook and light wind, or buys no if temperatures are far below the forecast with cooling 3-hour outlook. Entries are 3 contracts each, total position capped at 5. It exits when profit exceeds $4, loss exceeds $5, or expiry is under 30 minutes.
Net P&L -$1-21.6% return
Sharpe -0.15
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the KXHIGHNY market, checking every 30 seconds. It buys Yes contracts when current temperature is near the forecast high with low wind, and No contracts when temperature is far below forecast, using position size 3. It exits full positions upon a 4-point gain, 5-point loss, or with 30 minutes remaining, and limits overall exposure to 5 contracts between 0.15 and 0.80.
Net P&L -$1-21.6% return
Sharpe -0.15
Win 16.7%
Jun 20
20d May 21 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 5 · floor 0.15 · ceil 0.8
V2
This strategy trades the KXHIGHNY market. It checks every 15 minutes using local weather data. It buys YES when temperature is near the forecast high with low wind, and buys NO when temperature is lagging well below forecast, each with 3 contracts. It sells everything if profit reaches 4 dollars, loss reaches 5 dollars, or expiry is within 30 minutes. Maximum position is 5 contracts.
Net P&L -$1-21.6% return
Sharpe -0.15
Win 16.7%
Jun 20
20d May 21 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 5 · floor 0.15 · ceil 0.85
V2
This strategy trades the KXHIGHNY market on Kalshi, checking every 15 minutes. It buys yes if temperature readings show the high is likely near the forecast and wind is light, and buys no if the temperature significantly lags the forecast, but only when the contract price is moderate and expiry is more than two hours away. It exits by selling all contracts if profit reaches $4, loss reaches -$5, or expiry falls below 30 minutes, with a total position limited to 5 contracts.
Net P&L -$1-22.2% return
Sharpe -0.15
Win 16.7%small sample
Jun 20
20d May 21 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 0.85
V2
It trades KXHIGHNY on Kalshi, evaluating every 30 seconds using LaGuardia weather. Buys 3 yes when temp within 2.5°F of forecast high, 3-hour temp rising, wind ≤20 mph, price ≤0.70, time >2h. Buys 3 no when temp ≥7°F below forecast, 3-hour temp falling, price ≥0.30, time >2h. Exits all at $4 profit, -$5 loss, or 30min left. Positions capped at 5, entries only between 0.15–0.85 price.
Net P&L -$1-22.2% return
Sharpe -0.15
Win 16.7%
Jun 20
20d May 21 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 15 · floor 0.15 · ceil 0.85
V2
This Kalshi strategy trades the KXHIGHNY daily high temperature market every 60 seconds using LaGuardia weather data. It buys 'yes' when the temperature is near the forecast high, rising, and wind under 20 mph, with price below 70 cents; buys 'no' when far below forecast, falling, with price above 30 cents, both requiring over 2 hours to expiry. Each trade is 3 contracts, capped at 15 total. Exits occur at $4 profit, -$5 loss, or with 30 minutes remaining.
Net P&L -$2-11.3% return
Sharpe -0.03
Win 16.7%
Jun 20
20d May 21 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 0.75
V2
This strategy trades the KXHIGHNY market, evaluating every 60 seconds. It buys 'yes' when the observed temperature is near the forecast high and wind is light, and buys 'no' when it lags far below the forecast, each with a size of 3 contracts. It sells all positions if unrealized profit reaches 4, loss hits -5, or less than 30 minutes remain, and never holds more than 5 contracts.
Net P&L -$2-37.2% return
Sharpe -0.44
Win 0.0%
Jun 20
20d May 21 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 0.75
V2
Trades KXHIGHNY every 30 minutes. Buys 3 yes contracts when temperature is within 2.5°F of forecast high, wind ≤20 mph, price ≤70¢, >2h left; buys 3 no contracts when temperature is ≥7°F below forecast, 3h outlook not warmer, price ≥30¢. Exits all if unrealized PnL ≥$4 or ≤-$5, or ≤30m to expiry. Max 5 contracts total, price bounds 15¢–75¢.
Net P&L -$2-37.2% return
Sharpe -0.44
Win 0.0%
Jun 20
20d May 21 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 0.75
V2
The strategy trades the KXHIGHNY market, checking local weather every 45 seconds. It buys 3 yes if the temperature is within 2.5°F of forecast, 3-hour temp won't drop, wind ≤20 mph, price ≤0.70, and 2h+ left; buys 3 no if temp lags forecast by ≥7°F, 3-hour temp won't rise, price ≥0.30, 2h+ left. Exits when profit ≥$4, loss ≤-$5, or 30min before expiry. Max total position is 5.
Net P&L -$2-37.2% return
Sharpe -0.44
Win 0.0%
Jun 20
20d May 21 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 5 · floor 0.15 · ceil 0.75
V2
This strategy trades the KXHIGHNY market every 15 seconds, entering a 3-contract buy on Yes if the observed New York City temperature is close to the forecast high with light winds, or a 3-contract buy on No if it is significantly below. It exits all positions entirely when an unrealized profit of $4, a loss of $5, or less than 30 minutes to expiry occurs, and total holdings never exceed 5 contracts.
Net P&L -$2-37.2% return
Sharpe -0.44
Win 0.0%
Jun 20
20d May 21 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 20 · floor 0.15 · ceil 0.75
V2
This strategy trades the KXHIGHNY market on Kalshi, checking weather conditions from LaGuardia Airport every 45 minutes. It buys "yes" if the current temperature is near the forecast high, the 3-hour trend is not cooling, and winds are light; it buys "no" if temperatures are well below forecast and cooling. Each trade uses a fixed size of 3 contracts, the total position is capped at 20, and it exits automatically when up $4, down $5, or within 30 minutes of expiry.
Net P&L -$2-10.1% return
Sharpe -0.08
Win 16.7%
Jun 20
20d May 21 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 20 · floor 0.15 · ceil 0.75
V2
This strategy trades the KXHIGHNY market on Kalshi every 60 seconds using weather data from LaGuardia Airport. It buys Yes contracts when the measured temperature is within a few degrees of the forecast high and winds are light, or No contracts when the temperature lags far below that high, each with 3-contract entries. It exits all positions if a $4 profit or $5 loss is reached, or if only 30 minutes remain until expiry, with a maximum total position of 20 contracts.
Net P&L -$2-10.1% return
Sharpe -0.08
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the KXHIGHNY market on Kalshi, checking weather conditions from LaGuardia every minute. It buys "yes" shares when the temperature is tracking near the daily high forecast with calm wind, and buys "no" shares when the temperature is significantly below the forecast high and not rising. It exits when a profit or loss threshold is hit or when the market is near expiry, and each trade is 3 contracts with a maximum of 10 overall.
Net P&L -$2-20.3% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades Kalshi's KXHIGHNY market, checking every 15 minutes. It buys 3 YES contracts when the temperature is near the forecast high, rising, with light wind, and price ≤ 0.70, or 3 NO contracts when the temperature lags by 7°F or more, falling, and price ≥ 0.30, always more than 2 hours to expiry. It exits fully if profit reaches 4, loss reaches -5, or time left is 30 minutes, with overall position capped at 10 contracts.
Net P&L -$2-20.3% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the KXHIGHNY market on Kalshi, checking every 30 seconds. It buys Yes if the observed temperature is near the forecast high, the 3-hour trend is rising, wind is light, the contract price is at or below 0.70, and at least 2 hours remain; it buys No if the temperature is far below forecast, the 3-hour trend is falling, price is 0.30 or higher, and time is over 2 hours. It exits all positions when profit reaches $4, loss reaches $5, or time drops to 30 minutes. Position size is limited to 10 contracts total, with each entry using 3 contracts.
Net P&L -$2-20.3% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the Kalshi market KXHIGHNY, checking every 45 seconds. It buys 'yes' when the observed temperature is near the forecast high, the 3-hour outlook is warmer, and wind is calm, or buys 'no' when the temperature lags well below the forecast and the 3-hour outlook is cooler, provided price and time conditions are met. Each entry uses a size of 3, and the maximum total position is 10. Positions are fully sold if profit reaches 4, loss reaches -5, or expiry is within 30 minutes.
Net P&L -$2-20.3% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the KXHIGHNY market for New York City’s high temperature. It evaluates every 15 minutes, buying Yes contracts (size 3) when current temperature is within 2.5°F of the forecast high, wind is low, and price is at or below $0.70; it buys No contracts (size 3) when temperature lags forecast by 7°F or more and price is at least $0.30. Positions are exited entirely if unrealized profit reaches $4, loss hits $5, or less than 30 minutes remain until expiry. Each entry is limited to 3 contracts, with a total cap of 15 contracts.
Net P&L -$3-18.5% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 15 · floor 0.15 · ceil 0.8
V2
It trades the KXHIGHNY market on Kalshi, checking weather and price every 45 seconds. When temperature is near the forecast high, wind is light, and price is low, it buys Yes; when temperature lags far below the forecast high and price is high, it buys No, each in 3-contract sizes. It exits all positions if unrealized profit hits $4, loss hits $5, or only 30 minutes remain until expiry.
Net P&L -$3-18.5% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 15 · floor 0.15 · ceil 0.8
V2
This strategy trades the Kalshi KXHIGHNY market, checking every minute. It buys yes when temperature is close to the forecast high with light wind, and buys no when temperature lags by at least 7 degrees. Positions are 3 contracts; all sold if profit reaches 4, loss reaches -5, or 30 minutes remain.
Net P&L -$3-18.5% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.8
V2
This strategy trades the Kalshi market on New York City's high temperature. Every 30 minutes, it buys 'yes' if current temperature is within 2.5°F of the forecast high, winds ≤20 mph, and the 3-hour trend is warming, with a price ≤70¢; it buys 'no' if temperature lags forecast by ≥7°F, no warming, and price ≥30¢. It exits all positions at $4 profit, -$5 loss, or 30 minutes to expiry. Each entry is 3 contracts, total 15 cap.
Net P&L -$3-18.5% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.85
V2
Trades Kalshi market KXHIGHNY every 15 seconds. Buys 'yes' when temperature near forecast high, rising, low wind; buys 'no' when temperature lags forecast, cooling; each entry 3 contracts. Exits all if profit ≥ $4, loss ≤ -$5, or <30 min to expiry. Max total 15 contracts.
Net P&L -$3-19.6% return
Sharpe -0.14
Win 16.7%
Jun 20
20d May 21 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 0.75
V2
This strategy trades the KXHIGHNY market on Kalshi, checking conditions every 15 seconds using current weather data from KLGA in New York. It enters a YES position of up to 3 contracts when the temperature is near the forecast high and winds are light, or a NO position when the temperature is far below the forecast; both require at least 2 hours until expiry. It exits all positions if profit reaches $4, loss hits $5, or less than 30 minutes remain, and never holds more than 10 contracts total.
Net P&L -$4-36.8% return
Sharpe -0.43
Win 0.0%
Jun 20
20d May 21 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 0.75
V2
This strategy trades Kalshi's New York high temperature market. It checks LaGuardia weather every minute, buying 'yes' when the observed temperature is near the forecast high and 'no' when it lags far behind, each with a 3-contract limit. Exits occur if a $4 gain, $5 loss, or 30 minutes until expiry triggers.
Net P&L -$4-36.8% return
Sharpe -0.43
Win 0.0%
Jun 20
20d May 21 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 0.75
V2
This strategy trades the KXHIGHNY market every 30 seconds using LaGuardia Airport weather. It buys Yes contracts when observed temperature is near the forecast high with light winds, and buys No contracts when temperature lags far below forecast high, each at 3 contracts. All positions are sold if the unrealized gain hits $4, loss hits -$5, or less than 30 minutes to expiry, and total position size is capped at 10 contracts.
Net P&L -$4-36.8% return
Sharpe -0.43
Win 0.0%
Jun 20
20d May 21 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 0.75
V2
This strategy trades the KXHIGHNY market on Kalshi, checking every 45 minutes. It buys yes contracts (size 3) if the current temperature is within 2.5°F of the forecast high, rising, and wind is low; buys no contracts (size 3) if temperature is at least 7°F below the forecast and cooling. It exits all positions when profit reaches $4, loss reaches $5, or 30 minutes before expiry, and overall position is capped at 10 contracts.
Net P&L -$4-36.8% return
Sharpe -0.43
Win 0.0%
Jun 20
20d May 21 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 0.9
V2
This strategy trades the KXHIGHNY market on Kalshi, checking every 45 seconds. It buys 'yes' if NYC temperature is near the forecast high with rising trend and low wind, or buys 'no' if temperature lags badly with no rising trend, both only when price is favorable and over 2 hours remain. It sells the entire position if profit reaches $4, loss reaches $5, or expiry is within 30 minutes, and each trade size is limited to 3 contracts while overall exposure stays under 10.
Net P&L -$4-42.4% return
Sharpe -0.40
Win 0.0%
Jun 20
20d May 21 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 25 · floor 0.15 · ceil 0.75
V2
This strategy trades the KXHIGHNY market every minute. It buys 3 "yes" contracts when NYC temperature stays close to the forecast high, wind is light, and price is under 0.70; it buys 3 "no" contracts when temperature lags the forecast by at least 7°F and price is above 0.30. All positions are sold if profit reaches $4, loss hits -$5, or under 30 minutes remain, with total holdings capped at 25 contracts and prices limited between 0.15 and 0.75.
Net P&L -$4-17.3% return
Sharpe -0.11
Win 14.3%
Jun 20
20d May 21 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 25 · floor 0.15 · ceil 0.75
V2
This strategy trades KXHIGHNY every 30 seconds. It buys Yes if the temperature is near the forecast high, warming trend, light wind, price ≤ 0.70, and ≥ 2h until expiry. It buys No if temperature lags forecast by ≥ 7°F, cooling trend, price ≥ 0.30, and ≥ 2h left. Each entry uses 3 contracts, max 25. Exit all if unrealized PnL reaches 4 or -5, or ≤ 30min remain.
Net P&L -$4-17.3% return
Sharpe -0.11
Win 14.3%
Jun 20
20d May 21 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 25 · floor 0.15 · ceil 0.75
V2
This strategy trades the KXHIGHNY market every 15 minutes. It enters by buying 3 YES contracts when the temperature is near the forecast and wind is low, or buying 3 NO contracts when the temperature lags the forecast, as long as expiry is at least 2 hours away. It exits all positions if profit reaches $4, loss reaches $5, or only 30 minutes remain, and never holds more than 25 contracts.
Net P&L -$4-17.3% return
Sharpe -0.11
Win 14.3%
Jun 20
20d May 21 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 25 · floor 0.15 · ceil 0.75
V2
Trades the KXHIGHNY market on Kalshi, evaluating every 45 seconds. It enters a 3-contract YES position when the temperature is within 2.5 degrees of the forecast high and the wind is under 20 mph, or a 3-contract NO position when the temperature lags the forecast by at least 7 degrees, provided price and time conditions are met. All positions are limited to 25 total contracts, and it exits entirely if profit hits $4, loss hits -$5, or expiry is within 30 minutes.
Net P&L -$4-17.3% return
Sharpe -0.11
Win 14.3%
Jun 20
20d May 21 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 20 · floor 0.15 · ceil 0.8
V2
The strategy trades KXHIGHNY, a market on New York City's daily high temperature. Every 15 minutes it checks weather data from LaGuardia and buys 3 ‘yes’ contracts if the current temperature is near the forecast high with light wind, or 3 ‘no’ contracts if it’s well below forecast and trending down. It exits all positions when unrealized profit reaches $4, loss reaches $5, or less than 30 minutes remain until expiry.
Net P&L -$5-22.9% return
Sharpe -0.14
Win 14.3%
Jun 20
20d May 21 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.