ALGO SPOTLIGHT #9 : IV-Imbalance Credit Spread Overnight

NIFTY | Credit Spread | Overnight | Mean-Reversion Strategy


Markets don’t move in straight lines—and neither do successful trading strategies.

One of the biggest mistakes traders make is judging a strategy based on a few recent trades or a single month’s performance. Markets constantly transition between trending, range-bound, and volatile phases. A strategy designed for one regime may temporarily underperform in another before regaining its edge.

IV-Imbalance Credit Spread Overnight is built around this very principle. Instead of chasing momentum, it looks for situations where price and volatility have moved away from equilibrium and attempts to capitalize on the probability of mean reversion using defined-risk credit spreads.


How does the strategy work?

Imagine you’re driving on a highway.

You wouldn’t decide to overtake another vehicle just because it looks slow. Before making the move, you’d quickly check your mirrors, the speed of nearby vehicles, and whether the road ahead is clear. Only when all these signals suggest it’s safe would you overtake.

This strategy follows a similar approach.

Instead of placing trades based on just the market’s direction, it first checks whether multiple market signals agree with each other. It looks at three key factors:

  • Price Movement – Is the market making a meaningful move, or is it just random noise?

  • Trading Activity (Volume) – Are enough traders participating to support that move?

  • Market Volatility – Is the market calm enough for the strategy to have a higher probability of success?

A trade is placed only when all these signals point in the same direction. This helps the strategy avoid many low-confidence setups where the market is uncertain.

Once a high-conviction opportunity is identified:

  • If the market is expected to remain stable or move slightly upward, the strategy creates a Credit Put Spread.

  • If the market is expected to remain stable or move slightly downward, it creates a Credit Call Spread.

Think of a credit spread like running a small insurance business.

You collect a premium from others, but you also purchase your own insurance to limit how much you can lose if something unexpected happens. While this slightly reduces the maximum profit, it also keeps the risk predefined and controlled.

Since trades are carried overnight, the strategy is also designed to benefit from opportunities that may unfold over the next trading session rather than trying to capture every intraday move.


When does it perform best?

This strategy generally performs well when:

  • Markets experience temporary overextensions before reverting

  • Option premiums remain elevated

  • Volatility and volume provide reliable confirmation

  • The market avoids prolonged one-sided directional trends


When should investors expect pressure?

Like every quantitative strategy, this algorithm also experiences periods where its edge temporarily weakens.

It can face headwinds during:

  • Strong trending markets with limited pullbacks

  • Sudden news-driven directional moves

  • Extended periods where mean reversion fails to materialise

Such environments can lead to temporary drawdowns before the strategy adapts to changing market conditions.


Understanding Recent Performance

One of the most common behavioural mistakes investors make is evaluating a strategy based only on its latest monthly return.

A single negative month does not define the long-term quality of a strategy.

Markets move in cycles, and systematic strategies naturally go through periods of outperformance as well as temporary underperformance.

Think of it like a roller coaster—there will always be climbs, dips, and sharp turns. Exiting the ride during every dip often means missing the recovery that follows.

The focus should always remain on the long-term consistency of the strategy, its risk-adjusted returns, and whether it continues to behave as designed rather than reacting emotionally to short-term fluctuations.


Who is this strategy suitable for?

IV-Imbalance Credit Spread Overnight is best suited for investors who:

  • Understand that systematic investing requires patience.

  • Are comfortable with temporary drawdowns in pursuit of long-term performance.

  • Prefer defined-risk option-selling strategies over naked option selling.

  • Want exposure to an overnight quantitative strategy driven by market data rather than discretionary decisions.


Final Thoughts

No algorithm wins every week, every month, or every market regime.

The true strength of a systematic strategy lies not in avoiding drawdowns altogether, but in maintaining a disciplined process, managing risk effectively, and delivering favourable risk-adjusted performance over complete market cycles.

IV-Imbalance Credit Spread Overnight is designed with this philosophy at its core—using quantitative signals, defined-risk spreads, and disciplined execution to navigate changing market conditions while staying focused on long-term consistency rather than short-term noise.

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Very Informative. It’d be great if you guys list the strengths and weaknesses of all the strategies going forward when you explain the next strategies.

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Although informative, I would suggest to paint a better picture wherein the risk is defined well within the max alloted capital and the actual capital that the user has in the account. For example, the max alloted is 3.2L, but if user started in month of July this year, then clearly there is a loss of approx 15% (taking all charges). The drawdown will automatically make the user search for other algos. Instead, I would suggest to define a dynamic picture wherein the total capital of the user is accounted for, and the algo shifts it’s risk position accordingly (instead of waiting for reversal on all 3 signals). In your example, overtake the car in front of you only when you ascertain it is not a part of any convoy, and if yes, then park your car or change your lane.

Imagine boarding a flight from Mumbai to London. Even on a perfectly planned journey, the aircraft may experience turbulence. Passengers don’t assume the destination has changed—they understand that temporary turbulence is part of the journey.

Systematic trading strategies work in a similar way. Depending on when an investor starts, their initial experience may vary. Someone entering during a strong phase may see immediate gains, while another entering just before a drawdown may temporarily see losses. That’s why strategies should be evaluated over complete market cycles rather than a single month.

And as you asked, the natural question that comes into everyones mind is, “Why not simply reduce risk whenever markets become uncertain?” While reducing exposure early can help limit drawdowns in some cases, it can also result in missing the recovery that follows. Finding the right balance requires extensive research and testing across different market conditions, which I assure you that the team is already working on.

Your suggestion of dynamically adjusting the strategy’s risk profile is valuable and will certainly be taken into consideration. Our team will evaluate whether such an enhancement can be incorporated without compromising the strategy’s long-term performance, consistency, or core investment philosophy.

In the meantime, diversification across multiple uncorrelated strategies remains one of the most effective ways to reduce the impact of temporary underperformance while staying invested for the long term.