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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 algorithm is designed to sell both a call option and a put option at the same strike price (called a "short straddle") when market conditions are favorable. It continuously monitors NIFTY 50 options data in real-time, calculating various volatility metrics and market indicators to determine the best time to enter this trade. The algorithm only runs during specific market hours (10:15 AM to 2:00 PM) and only when the market is open. How it works: The algorithm uses two main signals called "alpha" and "alpha2" to make trading decisions. Alpha measures the ratio of short-term volatility to long-term volatility for options prices, while alpha2 compares the implied volatility of out-of-the-money options to in-the-money options. When both alpha and alpha2 are below 0.2 (meaning the market is relatively quiet and volatility is low), the algorithm sells both a call and put option at the current market price (ATM - At The Money). This strategy profits when the market stays within a narrow range and doesn't move much, as both options expire worthless and the trader keeps the premium received from selling them.
This Algo is managed by
Stratzy
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