Backtest Returns
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Backtest Snapshot

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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
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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
NIFTY Bellwether
-- 1.00
NIFTY Champions
-- --
High Volatility Stocks
-- --
Stocks Select
-- --
Emerging Bluechip
-- --
True Turtles Trend Master
-- --
Emerging Bluechip Select
-- --
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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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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.

Overview

EquitySwing

A Structured, Sector-Balanced Approach to India’s Market Leaders Trinity – Nifty 50 is a rules-based equity strategy designed to generate long-term capital appreciation by investing in a diversified yet focused portfolio of stocks from the NIFTY 50 universe. The strategy combines structured sector allocation with disciplined stock selection, aiming to balance growth, stability, and market leadership across economic cycles. The portfolio follows a unique three-bucket (“Trinity”) framework, where sectors are grouped based on their economic importance and representation within the NIFTY 50. Financial Services form the first bucket, while the second and third buckets include a mix of consumption, energy, technology, industrials, healthcare, and other core sectors. This structure ensures sector awareness and balanced exposure, while maintaining a concentrated portfolio of 10 stocks. Stock selection within each bucket is driven by the proprietary MOST framework, which evaluates companies across Management quality, Business Outlook, Financial Safety, and Price Trend. Only the highest-ranked stocks within each bucket are selected, ensuring that every inclusion meets both fundamental and market performance criteria. All selected stocks are equally weighted, with sector exposure determined solely by the predefined bucket structure. The portfolio is reviewed periodically and rebalanced based on changes in MOST rankings, fundamentals, price trends, or index constituents—without any discretionary intervention. With a moderate to high risk profile, Trinity – Nifty 50 is suited for investors seeking a rules-based, sector-aware equity strategy with active stock selection. It is ideal for those with a medium- to long-term investment horizon who wish to participate in India’s leading companies while managing sector concentration, using the NIFTY 50 Index as a reference benchmark.

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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