Discover @jiewwantan Open Source projects

Jiew Wan Tan (@jiewwantan)

jiewwantan

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Registered over 10 years ago
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Location 🇲🇾 Malaysia
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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.

Jupyter Notebook

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.

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collab-compete_ddpg

Collaboration and competition of two tennis playing agents with DDPG

Jupyter Notebook

Churn_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.

Jupyter Notebook

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.