StockMarketML
Using the magic of machine learning to predict the trends of the stock market.
Tools/libs Used
App
Applying the Model
Lab 3
CollectData
This script gathers headlines/media data from various sources.
MultiHeadlineTickForcasting
Creates and trains a model to predict stock prices based on multiple headlines and historical tick data.
Lab 2
2nd Attempt
CollectData
This script gathers headlines/media data from various sources.
HeadlineAnalysisAndPrediction
Creates and trains a model to predict stock prices based on headlines.
HeadlineTickAnalysisAndPrediction
Creates and trains a model to predict stock prices based on headlines and historical data.
HeadlineTickAnalysisAndPrediction2
Creates and trains a model to predict stock prices based on headlines and historical data with a slightly different configuration.
MultiHeadlineAndTickPrediction
Creates and trains a model to predict stock prices based on multiple headlines and historical data.
Lab 1
1st Attempt
CollectData
This script gathers data by scraping websites and does basic word processing.
LoadData
This helper script loads the csv files and preprocesses data before being used in a model.
BasicPredictionClassification
This uses a window of the last n stock closes and volumes to predict whether the next close with be high or lower than it opened.
BasicPredictionRegression
This uses a window of the last n stock prices to predict the next close price.
HeadlinePredictionClassification
This uses headlines processed through doc2vec to predict changes in close price.
HeadlineAndTickerClassification
Using historic stock prices and headlines to predict close price.