Convolution of MACD + RSI based on Maxwell-Boltzmann distribution to create the “Raffasya v.1.0” as investment decision during Brexit deal 2019

Hengky Herdianto and Fahmi Poernamawatie
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Hengky Herdianto: Universitas Gajayana Malang (UGM)

No rufm5_v1, OSF Preprints from Center for Open Science

Abstract: On March 2019, Brexit deal to be continued and after the vote, there was a decrease in correlation between directly involved currencies GBP and EUR. Classical indicators will be difficult to determine the direction of high volatility processing trends. Purpose of this research creates a “Raffasya v.1.0” based on statistical mechanics with Maxwell-Boltzmann distribution which provide high accuracy in investment decisions during Brexit deal 2019 with several stages: (1) convolution of OHLC GBP currency’s chart substituted to MACD and RSI indicators; (2) convolution of MACD, RSI, OHLC, and volume of GBP currency’s candle into the Maxwell-Boltzmann distribution; and (3) designed the algorithm of Maxwell-Boltzmann convolution with programming script as the MQL4 and MQL5 for “Raffasya v.1.0” indicators using MetaQuote software. The spectrum of “Raffasya v.1.0” indicators is a new technical analysis developed using statistical mechanics based on Maxwell-Boltzmann distribution. This indicator can provide high accuracy in investment decisions and quickly identify MACD + RSI’s anomaly. So that net income obtained is higher than MACD + RSI’s decision with low risk as well.

Date: 2025-02-07
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:rufm5_v1

DOI: 10.31219/osf.io/rufm5_v1

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