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This trading-gym is the first trading for agent to train with episode of short term trading itself.
Used Keras to build a model (CNNs + LSTMs) to predict the opening price change of the Dow Jones.
This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
ATR, SuperTrend, Heiken Ashi, Renko
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)i…
This is a submission for the "Predicting Stock Prices challenge" by @Sirajology on Youtube. [runner-up]
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Code samples for my book "Neural Networks and Deep Learning"
Using deep actor-critic model to learn best strategies in pair trading
Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
CSCI 599 deep learning and its applications final project
Companion code for the "Self Learning Quant" blog post
Team Buffalox8 predicts directional movement of stock prices.
Machine Learning for finance and investment introduction
Python-based portfolio / stock widget(app) which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics b…
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
code repository for Udacity nanodegree Artificial Intelligence for Trading
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
CAIS++ Spring 2019 Project: Building an Agent to Trade with Reinforcement Learning
Derivatives Analytics with Python (Wiley Finance)
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Use deep learning, genetic programming and other methods to predict stock and market movements
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
An example and description to Reinforcement Learning DQN model and dataformats for trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading