Using Machine Learning for live currency trading
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Updated
Nov 12, 2018 - Jupyter Notebook
Using Machine Learning for live currency trading
Official implementation of "Predicting Systemic Risk in Financial Systems Using Deep Graph Learning"
This is a model that has been trained on historical data obtained from Yahoo Finance. The data set comprises of all data records starting from the launch date of this stock in India (1996). This model aims to pick up key trends in the stock price fluctuations based on Time Series mapping. It is able to render predictions for the upcoming time pe…
💱Machine Learning, Artificial Intelligence, Data Science for Finance💱
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
Machine Learning for French Stock Market Prediction
An end-to-end Automated ML pipeline for empirical asset pricing & DJI forecasting. Bridges econometric rigor with modern AI using H2O AutoML. Features include advanced preprocessing (Winsorization, ADF), statistical validation via the Diebold-Mariano test, and model explainability using SHAP values. Optimized for reproducible quantitative research.
This project successfully demonstrates practical machine learning application in financial prediction, achieving exceptional accuracy while maintaining simplicity. The combination of robust data processing, intelligent feature engineering, and user-friendly application features creates a powerful tool for data-driven investment decisions.
finance machine learning projects
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