When Should You Deploy an Option Buying Algo?

Hello everyone,

Over the last few years, one pattern has stood out consistently.

Many users begin their Algo journey with an Option Buying strategy. Some continue building a diversified portfolio with us and experience the long-term potential of Algo trading. Others stop after a week or two, often because they expected Option Buying to deliver quick and consistent profits.

This post is for anyone who is considering deploying an Option Buying Algo or already has one running.

Why do most users start with Option Buying?

There are a few common reasons:

  • Lower capital requirement

  • Possibility of very large winning trades

  • Attractive historical trades showing returns of 100%, 200% or even higher

While these are certainly true, they only tell one side of the story.

Option Buying strategies naturally come with:

  • Higher volatility

  • Lower win rates

  • Larger drawdowns

  • Longer periods where the strategy may underperform

The overall performance can still be positive because a few large winning trades often compensate for several smaller losing ones. However, experiencing those phases requires patience and an understanding of the strategy’s risk profile.

This is exactly why you’ll notice additional risk disclosures before deploying an Option Buying Algo on Stratzy.

Think in terms of a portfolio, not a single Algo

One of the biggest mistakes traders make is expecting a single Algo to perform well in every market condition.

No strategy can do that.

Instead of asking,

“Which is the best Algo?”

a better question is,

“How do I build a portfolio where different Algos complement each other?”

That’s where diversification becomes important.

So when should you deploy an Option Buying Algo?

Our view is simple.

Option Buying Algos generally work best as a part of a diversified Algo portfolio rather than being the entire portfolio.

Many experienced traders use directional strategies as a hedge alongside income-generating strategies instead of depending entirely on them.

A balanced portfolio may include a combination of uncorrelated strategies such as:

  • Credit Spread Algos

  • Short Straddle Algos

  • Short Strangle Algos

  • Investing Algos

Once you have a balanced foundation, adding one or two Option Buying Algos can improve diversification.

For example, during strong directional market moves, directional Option Buying strategies may perform well during periods when neutral strategies like Straddles or Strangles could face drawdowns. Since these strategies behave differently under different market conditions, combining them can help create a more balanced portfolio over time.

What if capital is a constraint?

You don’t necessarily need to start with Option Buying just because the capital requirement is lower.

You can also consider:

  • Investing Algos (starting from ₹35,000)

  • Credit Spread Algos (starting from ₹1 lakh)

These strategies have different risk-return characteristics and may suit users looking for relatively lower volatility.

Final Thoughts

Algo trading is not about finding one strategy that never loses.

It’s about building a portfolio where different strategies work together across different market conditions.

Protecting capital should always come before chasing extraordinary returns.

The objective is not to predict which Algo will perform best next month, but to create a portfolio that can navigate different market environments with greater consistency.

If you’re unsure how to build a diversified Algo portfolio, our team is always happy to help. Users on the Yearly Traders Plan can also connect with our platform experts for assistance in understanding different Algo categories and building a balanced portfolio based on their preferences.

Happy Investing!

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The only thing which is necessary. Best quote.

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That’s really insightful, we as a trader need to understand it’s not risk hai to ishq hai , it’s capital hai to ishq hai ,

No amount of attractive returns gonna help if your dd leave u with no capital to get those returns .

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