Using the magic of machine learning to predict the trends of the stock market.
Applying the Model
This script gathers headlines/media data from various sources.
Creates and trains a model to predict stock prices based on multiple headlines and historical tick data.
2nd Attempt
This script gathers headlines/media data from various sources.
Creates and trains a model to predict stock prices based on headlines.
Creates and trains a model to predict stock prices based on headlines and historical data.
Creates and trains a model to predict stock prices based on headlines and historical data with a slightly different configuration.
Creates and trains a model to predict stock prices based on multiple headlines and historical data.
1st Attempt
This script gathers data by scraping websites and does basic word processing.
This helper script loads the csv files and preprocesses data before being used in a model.
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.
This uses a window of the last n stock prices to predict the next close price.
This uses headlines processed through doc2vec to predict changes in close price.
Using historic stock prices and headlines to predict close price.