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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.RNN_LSTM_trading_model
This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture. This is for single stock prediction and backtesting, another RNN LSTM network and backtester for multiple-stock portfolio will be added soon.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