StockOutliers

Objective

Identify real-time stocks that stray from normal predictable patterns on the fly.

How

Create linear model as a basis for identifying outliers.
Compare live data to model.
Produce listings of outlier stocks and their anomalous features.
Produce visualizations (todo: what visualizations)

TODO

1. Identify and create pipelines to data sources
2. Create accurate model, feature engineer
3. Create outlier identifier/Identify criteria to identify outliers
4. Make automated delivery of outlier listings and visualizations
5. Create codebase for public use of the project

Timeline in days (done by end of...)

1. 2 (Friday)
2. 3 (Monday)
3. 1 (Tuesday)
4. 2 (Thursday)
5. 2 (Saturday)

prepare presentation on Tuesday

Contributors

Noah Sragow and Georgiy Treyvus