parrondo's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
borisbanushev/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.
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
booksbyus/zguide
Learning and Using ØMQ
quantopian/research_public
Quantitative research and educational materials
facebook/Ax
Adaptive Experimentation Platform
anfederico/clairvoyant
lilianweng/stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
BlackArbsCEO/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
kourgeorge/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
s-brez/trading-server
Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
llSourcell/Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
wmayner/pyphi
A toolbox for integrated information theory.
darwinex/dwx-zeromq-connector
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
6-Billionaires/trading-gym
This trading-gym is the first trading for agent to train with episode of short term trading itself.
saeed349/Deep-Reinforcement-Learning-in-Trading
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym framework.
vbezgachev/tf_serving_example
Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
jakdot/pyactr
Python package for ACT-R cognitive models
kayuksel/forex-rl-challenge
A Deep Reinforcement Learning Challenge on Forex Portfolio Management
tcalmant/ipopo
iPOPO: a Service-Oriented Component Model for Python
bartchr808/Quantopian_Pairs_Trader
Quantopian Pairs Trading algorithm implementation.
6-Billionaires/trading-agent
trading-agent
cihat645/DeepLearning
Here is some of the work I have done throughout my Deep Learning research at St Francis Xavier University
panthertrader/zorro_cheat_sheet
Zorro is a trading automaton; here is a cheat sheet
zatonovo/fractalrock
Generate fractal time series with non-normal returns distribution
edaniszewski/fractalGraph
Generates and plots fractal graphs as described in Mandelbrot's "A Fractal Walk Down Wall Street", which should loosely model stock market price graphs using fractal logic.
6-Billionaires/trading-episode-filter