G_will's repositories
alpha-mind
quantitative security portfolio analysis
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
backtrader_plotting
Plotting addon for backtrader to support Bokeh (and maybe more)
Brinson-Attribution
以wind为数据源的基金单期brinson业绩归因
cmake-examples
Useful CMake Examples
data_mining_models
Basic data mining model, including feature importance display
deep-stock
Deep Learning for Stock Market
dx
DX Analytics
embedded-resources
Embedded Artistry Templates, Documents, and Source Code
example-hftish
Example Order Book Imbalance Algorithm
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
forecasting
Time Series Forecasting Best Practices & Examples
Interactive-brokers-python-api-guide
The code used for the article "Interactive Brokers Python API (Native) – A Step-by-step Guide" on the AlgoTrading101 Blog
Interactive-brokers-python-native-api-guide
These are the code used for the article "Interactive Brokers Python API (Native) – A Step-by-step Guide". The article and these code are written by Jignesh Davda.
multitasking
Non-blocking Python methods using decorators
nimo-markdown-cv
Maintain your CV in Markdown :sparkles:
OnePy
Python Backtesting library for OnePiece in trading.
opentrade
An open source OEMS, and intraday algorithmic trading platform in modern C++ for institutional investors
options_backtester
Simple backtesting software for options
Poker-with-Python
Poker with Python
pyOptionPricing
Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
pyrtfolio
Python package to generate stock portfolios
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
stocker
Stock Price Prediction
ta
Technical Analysis Library using Pandas and Numpy
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
trendet
:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend: