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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 credit spread options trading algorithm that implements a mean-reversion strategy based on volatility and volume analysis. The algorithm operates on NIFTY 50 index options and generates signals for credit put spreads (when bullish) and credit call spreads (when bearish). The core strategy relies on two primary alpha signals: alpha and alpha2. The first alpha signal (alpha) is calculated using a time-series rank of the 5-minute forward price change normalized by the opening price, with a lookback period of 800 minutes. The second alpha signal (alpha2) incorporates volume confirmation and volatility scaling - it multiplies the price change by the average volume ratio of ATM put and call options, then divides by the ATM volatility (sum of CE and PE rolling volatility), and applies a 300-minute time-series rank. The algorithm generates trading signals when both alpha values exceed 0.8 (for long positions) or fall below 0.2 (for short positions), indicating strong directional conviction. When the conditions are met, it constructs credit spreads by selling ATM options and buying OTM/ITM options at different strike distances. For bullish signals (alpha > 0.8), it creates a credit put spread by selling ATM puts and buying ITM puts 400 points below. For bearish signals (alpha < 0.2), it creates a credit call spread by selling ATM calls and buying OTM calls 400 points above. The algorithm includes risk management through stop-loss calculations based on margin requirements and operates only during specific market hours (10:15 AM to 2:15 PM) to avoid high volatility periods around market open and close.
This Algo is managed by
Stratzy
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