FORECASTING STOCK RETURNS WITH BIG DATA AND MACHINE LEARNING
OVERVIEW:
LogitBot Inc. uses machine learning and other advanced technologies to deliver investment insights and predictive analytics to investors across multiple time horizons. We combine massive amounts of data into a graph of the world's financial information and employ sophisticated models to uncover hidden relationships in order to understand and predict how markets are likely to behave.
SUMMARY
We are excited to demonstrate to the Quantopian community how they can leverage our predicted stock return model outputs as a valuable signal in systematic trading strategies. The predictions we are making available on Quantopian consider a large variety of predictors ranging from fundamental factors, historical returns to credit and interest rate spreads, commodity prices and fx fluctuations to forecast log returns at 5 day horizon.
SAMPLE STRATEGY
We have shared a trading strategy that utilizes the model forecasts to generate attractive returns. A 5 year backtest of the strategy on Quantopians platform results in:
Total Returns of 239.42% vs SPY 112.4%
Alpha: 0.33
Beta: 0.18
Sharpe: 3.20
Sortino: 4.06
We have made a sample dataset with 1 year worth of data available here
Please take a look at our research notebook with more detail about the model data and the process