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algorithmictrading

Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program.

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

A curated list of awesome Python frameworks, libraries and software

azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

backtrader

Python Backtesting library for trading strategies

bash-it

A community Bash framework.

chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

data-science-blogs

A curated list of data science blogs

data-science-from-scratch

code for Data Science From Scratch book

easytrader

提供券商华泰/佣金宝/银河/广发/雪球的基金、股票自动程序化交易，量化交易组件

embedding4dtw

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

fecon235

Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

findatapy

Python library to download market data via Bloomberg, Quandl, Yahoo etc.

finmarketpy

Python library for backtesting trading strategies and analyzing financial markets (formally pythalesians)

gitignore

A collection of useful .gitignore templates

gpusvcalibration

R package to support fast calibration of stochastic volatility models for option pricing using GPUs

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o-2

h2o = fast statistical, machine learning & math runtime for bigdata

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

ib-trading-models-and-backtester

Modular trading models with Interactive Brokers and backtester in Python

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

ipywidgets

IPython widgets for the Jupyter Notebook

jieba

结巴中文分词

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lab

A customisable 3D platform for agent-based AI research

learning-spark

Example code from Learning Spark book