Journals / Avrupa Bilim ve Teknoloji Dergisi / 2026 / Sayı: 28 Özel Sayı

Stock Market Analysis with Machine Learning

Makine Öğrenmesi İle Borsa Analizi

Mahmut Emir Arslan(BURSA ULUDAG UNIVERSITY)
Pınar Kırcı(Bursa Uludağ Üniversitesi)0000-0002-0442-0235
Pages
1117–1120
Publication Date
2021-11-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These data will be obtained by the Bitfinex bitcoin exchange through the Quandl database.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The basic logic of the stock market is based on mathematical operations called technical analysis, graphics and some indicators.
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Key Findings & Data:In this project, a system will be trained using machine learning and data from the past years, and this system will visualize the bitcoin data in the coming days and generate buy and sell signals for the user according to the momentum of the stock market movements.
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Conclusion & Impact:These data will be obtained by the Bitfinex bitcoin exchange through the Quandl database.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Doğrusal regresyon · Bitcoin · makine öğrenimi

Abstract

The basic logic of the stock market is based on mathematical operations called technical analysis, graphics and some indicators. Investors perform their transactions according to the forecast results produced by these charts and indicators. In this project, a system will be trained using machine learning and data from the past years, and this system will visualize the bitcoin data in the coming days and generate buy and sell signals for the user according to the momentum of the stock market movements. As a target, the Bitcoin stock market, which is one of the valuable stock markets of today and the future, will be discussed. With the linear regression method, buy-sell signals will be generated over the highest, lowest volume and supply-demand data on the daily chart of Bitcoin. These data will be obtained by the Bitfinex bitcoin exchange through the Quandl database.

Özet

Borsanın temel mantığı teknik analiz denilen matematiksel işlemlere, grafiklere ve bazı indikatörlere dayanmaktadır ve yatırımcılar işlemlerini bu grafik ve indikatörlerin ürettiği tahmin sonuçlarına göre gerçekleştirmektedirler. Bu projede makine öğrenimi ile geçmiş yıllara dair veriler kullanılarak bir sistem eğitilecek ve bu sistem gelecek günlerdeki bitcoin verilerini görsel hale getirip borsa hareketlerinin momentumuna göre kullanıcıya al ve sat sinyalleri üretecektir. Hedef olarak bugünün ve geleceğin değerli borsalarından birisi olan Bitcoin borsası ele alınacaktır. Doğrusal regresyon yöntemi ile Bitcoinin günlük grafikte en yüksek, en düşük, hacim ve arz-talep verileri üzerinden al-sat sinyalleri üretilecektir. Bu veriler Quandl veritabanı aracılığıyla Bitfinex bitcoin alım satım borsası tarafından elde edilecektir.

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Cite This Article

Arslan, M. E., Kırcı, P. (2021). Stock Market Analysis with Machine Learning. Avrupa Bilim ve Teknoloji Dergisi, Sayı: 28 Özel Sayı, 1117–1120. https://doi.org/10.31590/ejosat.1012785

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