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that day.
Backtested Gross Gains
This graph compares the Algo's best and worst performance over time, showing how returns can vary depending on when you start using the Algo.
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Performance Summary
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Avg Drawdown
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Indicates the average decline the strategy experiences in downturns, revealing how deep its typical losses go.
Risk : Reward
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Indicates how much the Algo typically earns for every rupee it risks. E.g., 1:3 means it targets ₹3 in reward for every ₹1 of risk.
Frequency of trade
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Indicates how often the Algo trades on average.
Risk
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Indicates the expected volatility of the Algo and is classified into levels like Low, Medium, and High.
Max Drawdown
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Indicates the largest decline the Algo has faced so far, reflecting its most severe historical downturn.
Success Ratio
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Indicates the percentage of trades that end in profit. E.g., 70% means 7 out of 10 trades are winners.
Avg Profit in Trade
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Indicates the average gain the Algo earns on its winning trades.
Avg Loss in Trade
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Indicates the average loss the Algo incurs on its losing trades.
Avg Time to Recovery
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Indicates the average number of days the Algo took to bounce back after experiencing its average drawdown.
Max Time to Recovery
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Indicates the number of days the Algo took in the past to recover from its worst drawdown to date.
Sharpe Ratio
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Indicates how well an Algo balances risk and return, showing how effectively it manages volatility.
*Metrics/Analytics basis past data. Historical data does not guarantee future results.
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Strategy Overview
This is a sophisticated options trading algorithm called "Skew Hunter" that focuses on exploiting volatility skew in the NIFTY options market. The algorithm monitors both ATM (At-The-Money) and OTM (Out-of-The-Money) options across different strike prices, calculating various metrics including implied volatility (IV), volume ratios, and open interest changes. It uses two main alpha signals: the first alpha combines volume ratios and open interest changes for OTM calls and ITM puts, while the second alpha measures the IV skew between OTM and ITM options for both calls and puts. The trading logic is triggered when both alpha signals align in extreme regions (alpha > 0.75 and alpha2 > 0.8 for long calls, or alpha < 0.25 and alpha2 < 0.2 for long puts). The algorithm only trades during specific market hours (10:15 AM to 2:15 PM) and implements strict risk management rules: it won't enter trades if the option price is below ₹20, sets a 40% stop-loss from the entry price, and automatically squares off positions at the end of the trading day. The strategy is implemented in two versions: a regular version and a trailing stop-loss (TSL) version, both of which are managed through a database system that prevents multiple active trades from running simultaneously.
This Algo is managed by
Stratzy
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