goldenwalden's repositories
Momentum-Trading-Example
An example algorithm for a momentum-based day trading strategy.
gam_rhn
Experiments in Recurrent Highway Networks with Grouped Auxiliary Memory paper
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
rl_markets
Market Making via Reinforcement Learning
FEN
FEN Code
Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
formal-encoding
Formal encoding of IMO problems
da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
optopsy
A nimble options backtesting library for Python
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python.
PythonExcel
Excel and Python working together
StockMarketGAN
Stock Market Prediction Using Unsupervised Features
PGPortfolio
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).
attentive-neural-algo
Attentive neural processes for deep reinforcement learning
FDRNN
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
Multi-Agent-RL-for-Liquidation
Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis
MDP-DP-RL
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
CS229-ML-Implements
Implements of cs229(Machine Learning taught by Andrew Ng) in python.
Reinforcement-learning-in-portfolio-management-
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)in portfolio management.
deep-rl
Collection of Deep Reinforcement Learning algorithms
drl-portfolio-management
CSCI 599 deep learning and its applications final project
Reinforcement-Learning
Codes written while learning Reinforcement Learning
stock-prediction
Stock prediction with Natural Language Processing
crypto_trading
Cryptocurrencies algorithmic trading strategies
go-yahoo-financials
easy way to pull financials from Yahoo, written in Go