Beyond the Volatility Expansion Index (VEI): Introducing the Mean Reversion Stress Index (MRSI)

Prabuddha-Peramuna · 2026-03-14T15:36:36+00:00

=== SUMMARY === - The author, u/Prabuddha-Peramuna, introduces a new proprietary indicator called the Mean Reversion Stress Index (MRSI), designed to improve upon traditional mean-reversion indicators like RSI. - The author's thesis is that MRSI can more accurately identify true price exhaustion by measuring "statistical stress" rather than just price deviation, thus filtering out false signals during strong trends. - Quality assessment: This is a conceptual post introducing a new trading tool. It is not investment advice or due diligence on a specific asset but rather a discussion of a quantitative trading methodology. The author has established credibility through a previously published indicator (VEI). === SENTIMENT === NEUTRAL === TRADE IDEAS === No actionable trade ideas in this post.

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Summary

The author, u/Prabuddha-Peramuna, introduces a new proprietary indicator called the Mean Reversion Stress Index (MRSI), designed to improve upon traditional mean-reversion indicators like RSI.
The author's thesis is that MRSI can more accurately identify true price exhaustion by measuring "statistical stress" rather than just price deviation, thus filtering out false signals during strong trends.
Quality assessment: This is a conceptual post introducing a new trading tool. It is not investment advice or due diligence on a specific asset but rather a discussion of a quantitative trading methodology. The author has established credibility through a previously published indicator (VEI).

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Hey everyone,

A while back, I introduced the **Volatility Expansion Index (VEI)**. I’m humbled to say it was recently verified by some industry professionals ( KEVIN J. DAVEY ) and featured in the latest issue of *Technical Analysis of Stocks &amp; Commodities* (TACS) magazine. It’s been an incredible journey seeing a personal research project get that kind of international recognition.

**Volatility Expansion Index (VEI)**

[https://www.reddit.com/r/algotrading/comments/1phv4zz/the\_signal\_i\_use\_to\_detect\_hidden\_instability\_in/](https://www.reddit.com/r/algotrading/comments/1phv4zz/the_signal_i_use_to_detect_hidden_instability_in/)

But I haven't stopped there. While VEI was all about catching the "Volatility Expansion" I’ve been obsessed with the opposite side of the coin: **Mean Reversion.**

Most traders use RSI or MACD to find overextended moves, but we’ve all seen the "RSI trend" where the indicator stays overbought while the price keeps climbing, wiping out mean-reversion hunters.

To solve this, I’ve been developing the **MRSI (Mean Reversion Stress Index).**

**The Core Concept: It’s about Tension, not just Price.**

Think of a rubber band. If you stretch it, the further it goes, the more "stress" or potential energy it builds up. At a certain point, the physics of the band *force* it to snap back.

MRSI doesn't just look at how far the price has moved from the mean; it measures the **statistical stress** acting on the price. It identifies the "inflection point" where the probability of a snap-back outweighs the momentum of the current trend.

**Why I’m moving toward MRSI:**

* **Filter out "fake" overbought signals:** It uses a higher-order statistical approach to see if the price is truly exhausted or just trending strongly.
* **Dynamic Sensitivity:** Unlike a fixed 70/30 RSI, the MRSI adapts to the current volatility environment.

I’m currently finalizing the backtests and refining the logic before I publish the full technical breakdown.

I’d love to hear from the systematic community here, when you’re building mean-reversion bots, what’s your biggest struggle with "overextended" indicators? Does measuring the "stress" of the move sound like a logic that fits your framework?

Looking forward to the discussion!

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