A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Structure and Interpretation of Computer Programs study notes with exercise solutions
Automated Trading Bot with OANDA REST API implementation and discussed in my book Developing Trading Bot in JAVA.
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
A collection of code snippets that can be constructed into larger trading algorithms.
Stock Trade Analytics leveraging Spark Structured Stream Processing
There are 50 Visualizations which can you to finish 7 different purposes of data analysis.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
A handy navigation pane for Jupyter Notebook that follows markdown headers
