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.
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.
Range
10s loop · max 500 · floor 0.01 · ceil 0.99
This strategy trades the Kalshi 15-minute Bitcoin price market, checking every 10 minutes. It buys 'yes' or 'no' contracts with a fixed size of $250 when BTC price conditions align with moving averages, momentum, and time to expiry, but only while total position is below 500. Exits are triggered by unrealized profit or loss thresholds that scale with position size.
Net P&L +$155,320+31064.1% return
Sharpe 2.01
Win 76.5%
Jul 26
27d May 14 to Jun 11
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
It trades the Kalshi 15‑minute Bitcoin market (KXBTC15M) every 10 seconds, using live Coinbase BTC price and trend signals. Entries of size 250 occur when BTC momentum, VWAP, and EMA conditions align within specific contract price and spread limits; full exits are triggered by unrealized profit or loss thresholds that vary with position size. Total position cannot exceed 500.
Net P&L +$76,781+15356.2% return
Sharpe 1.84
Win 79.5%
Jul 26
27d May 14 to Jun 11
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's BTC 15-minute market, checking every 10 seconds and using Coinbase bitcoin price, trend, and momentum data as its signal. It buys YES when bitcoin is rising above its hourly average and short-term trend lines with positive momentum, or buys NO when those conditions flip downward, always requiring a tight bid-ask spread and a mid-range contract price. Entries are capped at 250 contracts, the total position limit is 500, and it sells everything when unrealized profit or loss crosses size-based thresholds.
Net P&L +$52,483+10496.7% return
Sharpe 1.21
Win 71.5%
Sep 15
30d Aug 16 to Sep 15
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin market, re-checking conditions every 10 seconds with a maximum position of 500 contracts. It enters by buying yes or no contracts at 250 at a time when Bitcoin's price, momentum, and velocity line up in the same direction and the market price and spread fall within set ranges, and it also has late-entry rules near expiry when price is extreme. It exits by selling the whole position when unrealized profit or loss crosses thresholds that vary with position size, and it skips entirely once the position limit is reached.
Net P&L +$27,871+5574.3% return
Sharpe 1.33
Win 60.5%
Sep 7
30d Aug 8 to Sep 6
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
Trades the Kalshi KXBTC15M market, evaluating every 10 seconds. It buys yes or no contracts in 250-contract orders when Bitcoin price, trend, momentum, contract price, spread, and time-to-expiry conditions are met. It exits all when unrealized profit or loss crosses tiered thresholds based on position size, and stops entering at 500 contracts.
Net P&L +$16,388+3277.5% return
Sharpe 1.08
Win 59.8%
Aug 20
24d Jul 26 to Aug 19
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
On Kalshi's BTC 15-minute market, this strategy checks every 10 seconds and works through its rules in order, stopping at the first one that matches. It buys 100 contracts of YES or NO when Bitcoin's Coinbase price, momentum, and spread line up with the rule's conditions, and sells everything when unrealized profit or loss hits a threshold tied to position size. Position size is capped at 500 contracts, and buys only happen while holding 250 or fewer.
Net P&L +$15,758+3151.6% return
Sharpe 1.36
Win 61.1%
Sep 7
30d Aug 8 to Sep 7
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
This strategy trades 15-minute Bitcoin markets on Kalshi, checking conditions every 10 seconds and capping total position at 500 contracts. It exits by selling everything at tiered profit or loss thresholds that depend on how large the position is, and it enters by buying 50 contracts of YES or NO when Bitcoin price momentum, trend, and the market's own price and spread line up. Entry signals only fire while the position is at or below 250 contracts.
Net P&L +$10,589+2117.8% return
Sharpe 1.57
Win 61.9%
Sep 7
30d Aug 8 to Sep 6
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.
10s loop · max 140 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin market, checking conditions every 10 seconds against Coinbase BTC price, moving averages, and momentum. It buys 56 contracts of YES or NO when price sits in specific ranges and Bitcoin trends align, and sells everything when unrealized profit or loss hits thresholds tied to position size. Position size is capped at 140 contracts, with entries blocked above 70.
Net P&L +$6,000+4285.8% return
Sharpe 1.24
Win 60.6%
Sep 7
30d Aug 8 to Sep 6
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.
10s loop · max 50 · floor 0.01 · ceil 0.99
This strategy trades 15-minute Bitcoin markets on Kalshi, checking conditions every 10 seconds with a 50-contract position limit. It buys 25 contracts of YES or NO based on Bitcoin price trends, momentum, and short-term expiry signals, only when the market price and spread fall within set ranges. It sells the entire position when unrealized profit or loss crosses thresholds that tighten as the position grows, with separate tiers for small, medium, and large holdings.
Net P&L +$5,858+11715.3% return
Sharpe 1.35
Win 72.5%
Sep 16
29d Aug 17 to Sep 15
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
This trades Kalshi's 15-minute Bitcoin market, checking every 10 seconds, capped at 500 contracts with prices between 0.01 and 0.99. It buys 25-contract positions when Bitcoin's price, momentum, and trend line up with tight spreads, and sells everything at tiered profit or loss thresholds that depend on how large the position is.
Net P&L +$5,261+1052.2% return
Sharpe 1.59
Win 62.8%
Sep 11
30d Aug 12 to Sep 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.
10s loop · max 500 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin market, checking every 10 seconds and capping positions at 500 contracts. It exits first: selling everything when profit thresholds are met (12, 18, or 50 dollars depending on position size) or loss limits are hit (-8, -12, or -18 by size). Otherwise it enters in 20-contract trades, buying YES or NO based on Bitcoin's price relative to its hourly average, 12-minute and 20-minute averages, recent momentum and velocity, contract price bands, spread limits, and time left before expiry.
Net P&L +$4,594+918.8% return
Sharpe 1.67
Win 60.7%
Sep 5
30d Aug 6 to Sep 5
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.
10s loop · max 20 · floor 0.01 · ceil 0.99
It trades the Kalshi Bitcoin 15-minute market, re-evaluating every 10 seconds. It buys yes or no contracts in blocks of 10 when bitcoin momentum, price relative to moving averages, and tight spreads meet its rules, never exceeding 20 contracts total. It sells everything when unrealized gains or losses reach thresholds that grow with position size.
Net P&L +$3,267+16334.9% return
Sharpe 1.91
Win 80.7%
Jul 26
27d May 14 to Jun 11
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.
10s loop · max 50 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's KXBTC15M bitcoin market, checking every 10 seconds with a 50-contract position cap. It buys 25-contract YES or NO positions when BTC price, momentum, and spread conditions line up, then sells everything based on tiered profit or loss thresholds tied to position size.
Net P&L +$2,577+5154.6% return
Sharpe 1.13
Win 60.7%
Sep 10
30d Aug 11 to Sep 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.
10s loop · max 50 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin market, checking conditions every 10 seconds with a 50-contract position limit. It buys yes or no contracts in 25-lot sizes when Coinbase BTC price, momentum, and velocity signals line up within certain price and spread ranges. It sells the whole position when unrealized profit or loss hits tiers based on how many contracts are held.
Net P&L +$2,511+5022.0% return
Sharpe 1.03
Win 60.1%
Aug 26
30d Jul 27 to Aug 26
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.
10s loop · max 100 · floor 0.2 · ceil 0.8
This strategy trades Kalshi's 15-minute Bitcoin markets, checking conditions every 10 seconds and capping positions at 100 contracts with YES prices between 0.20 and 0.80. It buys 50 contracts of YES or NO when Bitcoin price, momentum, and velocity signals line up with a tight spread, and sells the entire position at tiered profit targets or stop-loss levels based on position size.
Net P&L +$2,363+2363.4% return
Sharpe 0.70
Win 59.6%
Sep 5
30d Aug 6 to Sep 5
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.
10s loop · max 40 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin markets, checking every 10 seconds with a maximum of 40 contracts and prices allowed from 0.01 to 0.99. Rules run top to bottom, so the first match wins: it skips when already at 40 contracts, sells everything at tiered profit or loss levels based on position size, and otherwise buys 20 contracts of yes or no when Bitcoin price, trend, momentum, and market conditions line up.
Net P&L +$2,255+5638.6% return
Sharpe 1.14
Win 60.6%
Sep 10
30d Aug 11 to Sep 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.
10s loop · max 50 · floor 0.01 · ceil 0.99
It trades Kalshi's KXBTC15M market, evaluating every 10 seconds with Bitcoin data refreshed every 5 seconds. It buys yes or no contracts when BTC momentum, moving-average alignment, price, spread, and time-to-expiry conditions are met, up to a 50-contract max and 25 per entry. It exits all positions when tiered unrealized profit or loss limits are reached based on position size.
Net P&L +$1,636+3271.9% return
Sharpe 1.08
Win 59.8%
Aug 20
24d Jul 26 to Aug 20
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.
10s loop · max 40 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's KXBTC15M bitcoin market, checking conditions every 10 seconds with a 40-contract cap. It buys YES or NO in 20-contract lots when bitcoin's price, moving averages, and short-term momentum line up (rules 8-15), but only while holding 18 contracts or fewer. It exits by selling everything when unrealized profit or loss crosses thresholds that vary by position size (rules 2-7), and skips entirely at the 40-contract limit (rule 1).
Net P&L +$893+2231.9% return
Sharpe 0.65
Win 60.7%
Aug 23
27d Jul 26 to Aug 22
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.
10s loop · max 30 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's BTC 15-minute market, checking every 10 seconds across up to 30 contracts. It exits first when profit or loss hits tiered thresholds based on position size, then buys 10 contracts of YES or NO when Bitcoin's price, trend, and momentum signals line up within set price and spread bands.
Net P&L +$613+2044.0% return
Sharpe 0.79
Win 61.9%
Aug 25
30d Jul 26 to Aug 25
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.
10s loop · max 30 · floor 0.01 · ceil 0.99
On Kalshi's 15-minute bitcoin market, this strategy checks conditions every 10 seconds, capped at 30 contracts. Rules run in order: it skips when full at 30, sells everything at tiered profit or loss thresholds based on position size, and otherwise buys 10 contracts of YES or NO when bitcoin price, trend, momentum, and market price/spread conditions line up, including near-expiry setups.
Net P&L +$520+1734.4% return
Sharpe 0.73
Win 62.3%
Aug 23
27d Jul 26 to Aug 22
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.
10s loop · max 500 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin market, checking every 10 seconds with a 500-contract limit. It buys either YES or NO in small size-2 orders when Bitcoin's price, momentum, and spread line up with the rules, and sells everything when unrealized profit or loss crosses tiers based on how large the position is.
Net P&L +$481+96.2% return
Sharpe 1.58
Win 63.3%
Sep 3
30d Aug 4 to Sep 3
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.
10s loop · max 20 · floor 0.01 · ceil 0.99
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.
Net P&L +$410+2051.6% return
Sharpe 0.51
Win 60.3%
Sep 11
30d Aug 12 to Sep 11
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.
10s loop · max 20 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's KXBTC15M bitcoin market, checking conditions every 10 seconds with a maximum position of 20 contracts. It exits first: rules 1 through 7 skip when fully loaded or sell everything when unrealized profit or loss hits thresholds that vary by position size (for example, a small position sells at +2 or -3). If no exit fires and the position is 9 or fewer contracts, rules 8 through 15 buy 10 contracts of YES or NO based on bitcoin price versus its VWAP, EMA, and SMA lines, short-term change and velocity, plus the market's price and spread.
Net P&L +$409+2046.0% return
Sharpe 0.48
Win 60.3%
Sep 11
30d Aug 12 to Sep 11
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.
10s loop · max 20 · floor 0.01 · ceil 0.99
This strategy trades Kalshi's 15-minute Bitcoin market, checking every 10 seconds against live Coinbase BTC price, trend, and momentum data while capping positions at 20 contracts. It buys 10-contract positions (YES or NO) when short-term BTC momentum, trend, or price-level signals line up with the market price and a tight spread, and it exits everything when profit targets or loss limits tied to position size are hit.
Net P&L +$327+1633.8% return
Sharpe 0.36
Win 59.6%
Sep 13
30d Aug 14 to Sep 13
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.