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awesome-ai-in-finance

🔬 A curated list of awesome machine learning strategies & tools in financial market.

blp

Pythonic interface for Bloomberg Open API

blpapiwrapper

Simple Python wrapper for the Python Open Bloomberg API

bql-api-for-python

Contains the BQL function callable directly from Python. It needs the Excel add-in for Bloomberg

bta-lib

Technical Analysis library in pandas for backtesting algotrading and quantitative analysis

confuse

painless YAML config files for Python

deep-learning-machine-learning-stock

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deephaven-core

Deephaven Community Core

example-scripts

The official example scripts for the Numerai Data Science Tournament

exchange_calendars

Calendars for various securities exchanges.

factoranalytics

featuretools

An open source python library for automated feature engineering

finrl

A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

freqtrade

Free, open source crypto trading bot

gpgtest

gpquant

Mining technical factors based on symbolic regression via genetic algorithm

lob

Benchmark Dataset of Limit Order Book in China Markets

mapping

Futures Instrument Mapping Functionality

mean_reversion

Scripts that trade on stocks likely to revert to their mean price range

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pandas_market_calendars

Exchange calendars to use with pandas for trading applications

predictcreditcarddelinquency

🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

quantlib-swig

QuantLib wrappers to other languages

research

Answers to the questions at the back of the chapters of Advances in Financial Machine Learning.

sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock_analysis_for_quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

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.