University project provided by Euklid, an algo-trading company. The entire project was carry out in Python. The aim of the project was to use different machine learning models to predict the stock market trends for the following commodities: Gold, Oil, IBM, and NASDAQ. For the results of the work read the pdf file containing the report. For the full commented code see the jupiter notebook.
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University project provided by Euklid, a company active in the data driven investment field that aim to manage savings and investments through thousands of different algorithms. The commodities analyzed are Gold, Oil, IBM, and NASDAQ
loreIT/Machine-learnin-for-finance--university-project
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University project provided by Euklid, a company active in the data driven investment field that aim to manage savings and investments through thousands of different algorithms. The commodities analyzed are Gold, Oil, IBM, and NASDAQ
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