Real-time Analysis of the Elliott Wave Principle Utilizing Historical Market Data

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dc.contributor.advisorBoetticher, Gary D
dc.contributor.committeeMemberDrake, Keith
dc.contributor.committeeMemberFeagin, Terry
dc.creatorGuerra, Marco Alberto
dc.creator.orcid0000-0001-5419-4101
dc.date.accessioned2022-02-16T16:45:24Z
dc.date.available2022-02-16T16:45:24Z
dc.date.created2021-12
dc.date.issued2021-12-07
dc.date.submittedDecember 2021
dc.date.updated2022-02-16T16:45:25Z
dc.description.abstractThe Elliott wave Principle is a theory developed by Ralph Nelson Elliott which describes a pattern of movement in financial markets. When drawn correctly, Elliott waves provide an opportunity to make profitable buy and sell decisions. An Elliott wave consists of 5 waves or lines. There are many varieties of formations depending upon various rules (e.g., line length). Creating an Elliott wave with historical data can be relatively easy for several reasons. Since all data is known, it is possible to construct a complete wave and assess the wave in terms of profitability. Constructing Elliott waves in real-time is a considerable challenge compared to finding Elliott waves within historical data. The primary problem is that once a complete wave (all 5 lines) is identified, an investor cannot go back retroactively and enter a trade. Furthermore, the dynamics of real-time data can impact the identification of respective waves. This research first identifies Elliott waves using historical financial data. Various Elliott wave formations are characterized. After grouping similar waves, their respective formations are statistically analyzed and described in terms of probabilities. This information will provide insight into the assessment of Elliott waves using real-time data. Waiting to identify a complete Elliott wave in real-time is not very fruitful. Thus, this research examines the partial formation of Elliott waves.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657.1/2620
dc.language.isoen
dc.subjectdata mining
dc.subjectdynamic Elliott wave search
dc.subjectElliott wave
dc.subjectElliott wave principle
dc.subjectElliott waves
dc.subjectfinance
dc.subjectfinancial data mining
dc.subjectprogrammatic trading
dc.subjectRalph Nelson Elliott
dc.subjectmarket data
dc.subjectbig data
dc.subjectfinancial data
dc.subjectstocks
dc.subjectstock market
dc.subjectfutures
dc.subjectfutures market
dc.subjectreal-time market analysis
dc.subjectreal-time market data
dc.subjecthistorical market data
dc.subjectpatterns
dc.subjectAmibroker
dc.subjectAmibroker Formula Language (AFL)
dc.subjectmoney management
dc.subjectstatistical analysis
dc.subjectback-testing
dc.subjectday trading
dc.subjectfutures trading
dc.subjectfutures contract
dc.subjectEminis
dc.subjectintraday data
dc.subjectintraday trading
dc.subjectinvesting
dc.subjectmoney
dc.subjectlong trade
dc.subjectshort trade
dc.subjectS&P 500
dc.subjectS&P Index
dc.subjectSeries 3
dc.subjectNational Futures Association
dc.titleReal-time Analysis of the Elliott Wave Principle Utilizing Historical Market Data
dc.typeThesis
dc.type.materialtext
thesis.degree.grantorUniversity of Houston-Clear Lake
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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