Backtest Returns
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Backtest Snapshot

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Combine other Algos and compare portfolio stability.

Combine other Algos and compare portfolio stability.

Algo
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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.

Score
Correlation
Algo
info

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.

Score
Correlation
Chanakya Short Strangle Overnight
-- 1.00
Sahi-Nivesh Short Strangle Overnight
-- --
Intraday Short Strangle
-- --
Holonomy's Short Strangles
-- --
Market-Pulse Short Strangle Overnight
-- --
Homecoming Short Strangle Overnight
-- --
Slow-Climb Short Strangle Overnight
-- --
Bazaar Short Strangle Overnight
-- --
Carry Forward Strangle
-- --
Expiry Short Strangle
-- --
Compressed Strangle
-- --
Flux Strangle
-- --
Premium-zone Strangle
-- --
Theta-zone Strangle
-- --
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Why is less 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.

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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moderate 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.

Overview

NiftySellingNon-directional

Imagine you are a farmer deciding when to harvest your crops. You look at various factors like weather patterns, the plant's growth stage, and even the overall market demand for your produce. Instead of just guessing, you use a checklist and some historical data to see if all the conditions are right: is the crop mature enough? Is the weather stable for a few days? Are there signals that prices might rise soon? If everything lines up according to your plan, you harvest; otherwise, you wait and check again later. This algorithm similarly assesses market conditions and executes a trading strategy only when specific criteria are met, aiming to capitalize on those moments. This trading algorithm focuses on "short strangles" on the NIFTY 50 index options, a strategy that benefits when the market is expected to remain relatively stable. A short strangle involves simultaneously selling a call option (betting the price won't go much higher) and a put option (betting the price won't go much lower) at strike prices outside the current market price. This strategy can be profitable as long as the price of the underlying asset doesn't move beyond those strike prices before the options expire, allowing the trader to collect the premium from selling the options.

This algo is managed by...

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Stratzy

INH000009180 SEBI registered algo provider

Algos in market
Algos in market79
Active since
Active since5 Years
Deployed by
Deployed by12.5K users

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