Skip to main content
Strategy Learning Hub

Strategy #0000000027 · Mean reversion and reversal

Internal Bar Strength mean reversion
Measure the close within the bar, then predefine reversal thresholds and next-period execution.

Internal Bar Strength places the close within the same bar’s high–low range. A low reading can define a short-term reversal signal. The source also describes cross-sectional ETF ranking; that is not the same rule as a single-stock time-series threshold.

Beginner-friendlyAbout 8 minutesEvidence and practical analysis

Three ways in

Understand the story. Then inspect the risk.

Start with a familiar situation, check the payoff, then test how the numbers change.

The idea · in two minutes

Rose separates a low close from a guaranteed rebound

Rose sees an ETF close at 97 after a high of 105 and low of 95. IBS is 0.20, near the bottom of the range. Jack calls it oversold; Rose points out that bar location is not valuation.

They predefine the rule: below 0.20, buy at the next tradable open; above 0.80, short; otherwise stay flat. They separately specify exits, overnight exposure and whether they trade one asset or rank an ETF universe.

Using the same close to form a signal and assume execution creates an untradeable bias. Gaps, trend days, price limits and costs can erase a reversal premium.

  • IBS = 0.20IBS=(C−L)/(H−L); H must exceed L and C must lie within the range.
  • Assumed next returnThe interactive scenario uses a user-supplied next-period return; it does not replay historical bars.
  • After assumed 0.10% costCross-sectional decile portfolios and single-asset thresholds should be reported separately.

Illustrative research examples only. They are not live signals or a recommendation.

Variants · same family, different risk levers

Related methods share a mechanism, not every assumption.

Each row identifies what changes in its signal, construction or risk.

Related strategyRelationshipWhat changesNew cost or risk
Alpha #53IBS changeUses the negative change in a transformed IBS feature.A close near the low makes one denominator unstable.
Alpha #54Nonlinear OHLCCombines open and close through a nonlinear ratio.Scaling and small price levels can make it unstable.
Alpha #60Volume-weighted locationAdds volume-ranked close location and a recent extreme.Volume microstructure differs across markets.
Alpha #100Industry-neutral compositeCombines industry-neutralised price/volume features.Requires point-in-time classifications, volume and more parameters.
Alpha #101Close versus openMeasures (C−O)/(H−L) within the bar.It is not IBS and needs a zero-range guard.

This is arithmetic, not a historical price replay or strategy performance. Empirical work needs completed bars, next-tradable fills, point-in-time ETF membership and costs, with time-series and cross-sectional versions tested separately.

Read beyond the summary

References

Primary sources and research used to describe the strategy and its limits.

  1. 01Pagonidis (2014), The IBS Effect: Mean Reversion in Equity ETFs.research
  2. 02Kakushadze & Serur (2018), 151 Trading Strategies, §4.4.source
  3. 03Kakushadze (2016), 101 Formulaic Alphas.research