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Swing Trading Based on Machine Learning
Project Overview
1
Methodology
Historical stock pricing data is collected and certain technical indicators are calculated and imported into a SQL Server database. Investor sentiment and open interest data are also imported.
The data is combined and fed into a machine learning program to create a predictive model. The model is then used to score a group of stocks.
The data is combined and fed into a machine learning program to create a predictive model. The model is then used to score a group of stocks.
2
Current Rankings
This is a list of stocks that are ranked from zero to ten based on the probability that the stock price will rise in the next three business days with zero being the least likely to rise and ten being the most likely to rise.
3
History
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