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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 bustling farmers market, but this shopper only buys one type of item, like exotic mushrooms. Instead of grabbing any mushroom, this person has a very specific checklist: they only buy if they see signs the general "market sentiment" is shifting toward favoring mushrooms, but only if a special combination of the most rare and expensive mushrooms are becoming cheaper while the normal ones become less appealing. The shopper also cares about what *other* shoppers are doing with mushrooms—are they buying or selling? The shopper waits patiently, monitoring the mushroom stalls for moments when their specific criteria are all met, only buying when conditions are perfect. This algorithm acts like a very picky option buyer. It focuses on trading options on the NIFTY 50 index and looks for very specific combinations of market factors before making a move. Essentially, it wants to buy call options if it sees that market indicators are bullish. To determine this, it checks for positive signals derived from option implied volatility, recent price movement, and the relative trading volumes of put options and call options. Once those conditions have been met, it risks a very small amount of capital with a fixed stop loss and target based on a multiple of the risk. It’ll buy a single contract, and will only make trades when the combined data gives it a strong signal—like a trader waiting for the perfect moment to strike.
This Algo is managed by
Stratzy
Stratzy is a place where you can get tailored guidance for your portfolio to help you make the right investments. Gain access to battle tested algos, automation of your investments and insights about the market, right in the palm of your hand. Your wealth generation begins here.
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