Pinned Repositories
bstspost
cvxportfolio
Portfolio optimization and simulation in Python
homework
Assignments for CS294-112.
mgcv-esa-workshop
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
python-quickfix-example
Example Code that hopefully someone can use
python-training
Python training for business analysts and traders
quant-finance
Quantitative Finance Notes and Tutorials
quickfix-python-samples
Implement Initiator and accepter by quickfix in python
sl-quant
Companion code for the "Self Learning Quant" blog post
ThemisZ's Repositories
ThemisZ/bstspost
ThemisZ/cvxportfolio
Portfolio optimization and simulation in Python
ThemisZ/homework
Assignments for CS294-112.
ThemisZ/mgcv-esa-workshop
ThemisZ/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
ThemisZ/python-quickfix-example
Example Code that hopefully someone can use
ThemisZ/python-training
Python training for business analysts and traders
ThemisZ/quant-finance
Quantitative Finance Notes and Tutorials
ThemisZ/quickfix-python-samples
Implement Initiator and accepter by quickfix in python
ThemisZ/sl-quant
Companion code for the "Self Learning Quant" blog post
ThemisZ/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
ThemisZ/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
ThemisZ/tslearn
A machine learning toolkit dedicated to time-series data
ThemisZ/ufcnn-keras
Implementation of UFCNN in Keras