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StarTrader
This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.XGBoost_stock_prediction
XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project attempts to predict stock price direction by using the stock's daily data and indicators derived from its daily data as predictors. As such this is a classification problem.collab-compete_ddpg
Collaboration and competition of two tennis playing agents with DDPGChurn_prediction_Sparkify
Predicting music streaming service user churn on local machine and AWS EMR using Apache Spark.PositionSizingAllocationStrategies
The program executes trading on a wide spectrum of position sizing and allocation strategies based on two choices of EMA signal EMA 21 and 45 +/- 0.5 ATR trade strategies. The combination of these creates 18 trade strategies.Real_estate_Investment_with_Airbnb
This project sets to design a framework for property market analysis in a city with the objective of identifying property that generates rental income in Airbnb marketplace.FinancialDataExploratoryAnalysis
Financial Data exploratory analysis using R: Distribution, time-series analysis, bivariate exploration of various features, correlation matrix, risk sentiments and behavior for different asset class.Love Open Source and this site? Check out how you can help us