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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

ai_all_resources

A curated list of Best Artificial Intelligence Resources

algo-trading

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

analysis-and-prediction-of-close-price-of-the-stocks-in-the-dow-jones-industrial-index

Performed Exploratory Data Analysis to analyze the performance of the 30 stocks traded in the Dow Jones

arbitrage_research

Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

arimafd

Popular method ARIMA for outlier detection purposes

asx_gym

Open AI Gym Env for Australia Stock Exchange (ASX)

austrian-quant

Quantitative trading algorithms with Python and Quantopian.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

backtest_tutorial

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

binance-trading-bot

Makes pseudo trades based on Stochastic RSI and Bollinger Band indicators with live data from Binance.us exchange

capm_shiny

Demo project of creating an interactive analytical tool for stock market using CAPM.

client-python

A python client library for accessing Polygon's APIs

cme-market-data-handler

A minimalist, low-latency, HFT CME MDP 3.0 C++ market data feed handler implementing all required features

codefromvideo

Source code from the youtube video

coinbaseprotracker

Coinbase Pro Portfolio Tracker

cuda

Using CUDA-accelerated Monte Carlo for option pricing. Developing a option pricing system in CUDA.

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

definitive_guide_to_pairs_trading

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.

dqn-trading

A Deep Reinforcement Learning Framework for Stock Market Trading

edgar_crawler