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The Boom Bust Signal

by D. Brown for Digital Assets

Financial Research - Asymmetrical Risk/Reward

The Boom & Bust Signal is an indicator developed by David Brown based on both fundamental and statistical analysis that has been applied to different asset classes to measure the possibility of a market correction.

Is a Digital Signal (Buy/Sell), easy to read, that indicates when one asset class is Overbought (Red BOOM) and it is time to reduce the exposure to that asset class, or Oversold (Green BUST), and it is time to increase exposure to the same asset class.

Risk Asymmetry Analysis
 

DRIVEN BY PERFORMANCE

Founded in 2020, The Boom Bust is a leading global research platform, specialized in global macro and Algo trading signals. Our reputation, built up over nearly three decades, is founded on the quality of our exceptional people, and our best-in-class technology.

35

Years' Experience

90+

Signals in 3 Years

+7%

Average Signal Performance

+80%

Signal Accuracy

The Boom Bust

Compared to other overbought or oversold indicators The Boom Bust Signal is more accurate when the signal is issued (Higher probability of a market correction), although the indicator is issued less frequently than other market indicators as The Boom Bust looks at extreme overbought or oversold situations.This mean that it is possible to have a market correction in one of the asset classes without The Boom & Bust flashing Red or Green, but when the indicator is showing a Red Boom or a Green Bust the probability of a correction is very high. For example with reference to the S&P Index The Boom Bust Signal has predicted 7 of the past 9 market corrections (Over 75%)

RED BOOM

Probability for a

Correction HIGH.

70% - 85% *Probability of a

10% - 20% Correction

GREEN BUST

Probability for a Recovery HIGH.

70% - 85% *Probability of a

10% - 20% Recovery

The Boom Bust Signal

Blue BUST

Probability for a Recovery Medium

50 - 65% *Probability of a 2.5 - 7% Correction

Orange BOOM

Probability of a Down Correction Medium

50 - 65% *Probability of a 2.5 - 7% Correction

* Probability of a correction may change depending on asset class volatility.

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