azarshab-saeed's repositories
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
statistical-arbitrage-18-19
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach (proposed).
Statistical-Arbitrage-Algorithmic-Trading
A Project to identify statistical arbitrage opportunities between cointegrated pairs. This is referred to as 'Pairs Trading' which is a bet on the mean reversion property of the spread.
tforce_btc_trader
TensorForce Bitcoin Trading Bot
flowdec
TensorFlow Deconvolution for Microscopy Data
Trading-Gym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
keras-seq-2-seq-signal-prediction
An implementation of a sequence to sequence neural network using an encoder-decoder
darch12
Скрипты к статье
Stock-Market-Prediction-using-Neural-Networks-and-Genetic-Algorithm
Matlab Module for Stock Market Prediction using Simple NN
tensorflow_speech_recognition_solution
code for 3rd place kaggle tensorflow competition
mt4-server
Turn MetaTrader Terminal into a Redis compatible server with ZMQ sockets
sl-quant
Companion code for the "Self Learning Quant" blog post
NeuralNetworkAsTradingStrategy
Use Neural Network as a trading strategy model
mql4-auth
MQL4 library that allows authenticating into an MT4 account programmatically
ZigZag
Python library for identifying the peaks and valleys of a time series.