Overview

Creates a stock basket of un-correlated stocks that can go up on a weekly timeframe.

The selection methodology utilizes Principal Component Analysis (PCA) to construct a diversified portfolio. PCA is applied to the historical returns of the top 100 stocks, with filtering to avoid issues with infinite values. This analysis identifies the principal components, and the five stocks that contribute most to these components are selected. The rationale behind this approach is that PCA helps create a diversified portfolio by capturing the variance in the data, thereby reducing exposure to common risks.

Backtested Results
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Backtesting results are based on past data. Historical data does not guarantee future results.

Key Parameters

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Drawdown

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Risk : Reward

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Frequency of trade

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moderate Risk

Risk

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This algo is managed by...

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Stratzy

INH000009180 SEBI registered algo provider

Algos in market
Algos in market24
Active since
Active since5 Years
Deployed by
Deployed by12.5K users

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Frequently Asked Questions

How does the Algo work?

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The Algo uses Principal Component Analysis (PCA) on the historical returns of the top 100 stocks to select 5 stocks that best capture market variance, aiming to build a well-diversified, risk-aware portfolio.

What is the amount I can start with?

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How frequently does the Algo execute trades?

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What is DDPI?

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What is SIP?

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