Deanzou's repositories
An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading
Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
stack-orderflow
Orderflow chart GUI using finplot and pyqt5graph
AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
binance-trading-bot
Automated Binance trading bot - Trade multiple cryptocurrencies. Buy low/sell high with Grid Trading. Integrated with TradingView technical analysis
community-strategies
Python strategies developed by the community
cryptocurrency-derivatives-pricing-and-delta-neutral-volatility-trading
This project is to download and analyze cryptocurrency option data available on Deribit via a public API. Data are collected on an Ubuntu remote server with the implementation of Python3, Shell and SQLite and are then analyzed locally with Python3.
CSharp-NT8-OrderFlowKit
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.
data-science-introduction-with-python
Python 数据科学导论 | Data Science Introduction with Python
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
FBDQA-2020A
Financial Big Data and Quantitative Analytics, Autumn 2020.
Leveraged-grid-trading-bot
Leveraged grid-trading bot using CCXT/CCXT Pro library in FTX exchange.
lstm-stock-predictor
Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated from https://arxiv.org/abs/1912.07700 and https://arxiv.org/abs/1010.3003.
martin-binance
Free trading system for Binance SPOT market. Adaptive customizable reverse grid strategy based on martingale. Binance API multiplexed wrapper for strategy developer.
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.
oca-mobile
OCA Mobile - Odoo React Native - a Modern Odoo APP made with React Native by Odoo Community
odoo-install
Odoo Install
odooplm
Go to website for more information !!
Orderflow
This Python package manages methods to reshape tick by tick data for order flow analysis
pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
pyfolio
Portfolio and risk analytics in Python
QtaTraining2020
QTA2020内培 github存档
Quantitative-analysis
券商金工研报复现
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.
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.