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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
Imagine a savvy shopper at a farmer's market who's looking for the ripest fruits, but only buys if they spot a unique combination of signals. First, they check the overall buzz—are lots of other shoppers excitedly grabbing that particular fruit? Then, they look for confirmation in a second indicator of quality, like checking for a specific coloration or scent. Finally, they only commit if prices have recently dipped a bit, suggesting a good deal. If all these align, they quickly grab a small amount, but set a mental alarm: if the price drops too much after they buy, they’ll cut their losses and run, but if it rises, they'll gradually raise their alarm, locking in more profit as the fruit gets riper. This algorithm trades naked options on the NIFTY 50 index, essentially betting on whether the price of the index will go up or down. To decide whether to buy a call (betting the price will go up) or a put (betting the price will go down), it looks at a combination of factors, including the implied volatility skew (the difference in price between call and put options), changes in that skew, recent price movements of the underlying index, and the relative trading volume between call and put options. If these indicators align in a way that suggests a strong upward or downward trend, the algorithm buys a single option. It then sets a stop-loss order to limit potential losses to 25% of the option's price, and may adjust this stop loss to lock in profit if the trade moves in its favor.
This Algo is managed by
Stratzy
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