Backtest Returns
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Backtest Snapshot

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Backtested Gross Gains (₹)

Backtested Returns Snapshot

PeriodReturns
1 month
3 months
6 months
1 year
All time
Backtest Best & Worst Holding Periods
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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

Hover to see parameter details.

Click to see parameter details.

Drawdown Icon

Avg Drawdown

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Indicates the average decline the strategy experiences in downturns, revealing how deep its typical losses go.

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Risk Reward Icon

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.

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Win Rate Icon

Avg Trade

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Indicates how often the Algo trades on average.

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high Risk

Risk

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Indicates the expected volatility of the Algo and is classified into levels like Low, Medium, and High.

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Max Drawdown

Max Drawdown

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Indicates the largest decline the Algo has faced so far, reflecting its most severe historical downturn.

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Success Ratio

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.

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Avg Profit

Avg Profit in Trade

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Indicates the average gain the Algo earns on its winning trades.

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Avg Loss

Avg Loss in Trade

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Indicates the average loss the Algo incurs on its losing trades.

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Avg Time to Recovery

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.

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Max Time to Recovery

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.

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Sharpe Ratio

Sharpe Ratio

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Indicates how well an Algo balances risk and return, showing how effectively it manages volatility.

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*Metrics/Analytics basis past data. Historical data does not guarantee future results.

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This algo is a variant of Compressed Strangle

Combine other Algos and compare portfolio stability.

Combine other Algos and compare portfolio stability.

Algo Score
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Algo Score - It's a single number that summarizes an Algo's overall performance by combining returns, risk, volatility, drawdowns, and consistency. A higher score indicates stronger, more stable, and better risk-adjusted performance.

Correlation
Algo Score
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Algo Score - It's a single number that summarizes an Algo's overall performance by combining returns, risk, volatility, drawdowns, and consistency. A higher score indicates stronger, more stable, and better risk-adjusted performance.

Correlation
Premium-zone Strangle
-- 1.00
Carry Forward Strangle
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Holonomy's Short Strangles
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Intraday Short Strangle
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Expiry Short Strangle
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Compressed Strangle
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Theta-zone Strangle
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Flux Strangle
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Why is Un-correlation so important in Algotrading?
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At Stratzy, we align strictly with SEBI’s risk management framework by prioritizing uncorrelation in our strategy curation. In algorithmic trading, uncorrelation ensures that our strategies do not react identically to market volatility; if one strategy faces a drawdown due to specific market conditions, others are designed to remain unaffected or perform differently. This statistical diversification acts as a crucial internal hedge, reducing the risk of simultaneous losses and ensuring portfolio stability. By avoiding concentrated risk, we uphold the regulatory mandate to prioritize investor safety and maintain market integrity.

Overview

NiftySellingNon-directional

This algorithm is designed to sell options when the market is in a "premium zone" - meaning options are overpriced relative to their historical patterns. It analyzes Nifty options data in real-time, calculating various volatility metrics like implied volatility (IV) across different strike prices (ATM, ITM, OTM). The algorithm creates two key signals called "alpha" and "alpha2" that measure how expensive options are compared to their normal levels. When both alpha values drop below 0.2 (indicating options are relatively cheap), it triggers a short strangle trade. How it trades: When the signal is triggered, the algorithm sells both a call option and a put option at out-of-the-money strikes (100 points away from the current market price). This is called a "short strangle" strategy - it profits when the market stays within a range and doesn't move too much in either direction. The algorithm only trades during specific market hours (10:15 AM to 2:00 PM) and automatically handles expiry dates, switching to the next week's options if it's expiry day. It includes risk management with a 2% stop-loss and only runs when there's no existing active trade.

This algo is managed by...

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Stratzy

INH000009180 SEBI registered algo provider

Algos in market
Algos in market43
Active since
Active since5 Years
Deployed by
Deployed by12.5K users

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