G_will's repositories
riskparity.py
Fast and scalable design of risk parity portfolios
pyqstrat
A fast, extensible, transparent python library for backtesting quantitative strategies.
PandoraTrader
CTP 高频量化交易平台 C++ Trade Platform for quant developer
aku
Aku - Toy Backtesting/Trading Engine
gamma_scalping_backtester
Vega testing for gamma scalping project
EventEmitter-2
Easy to use C ++ thread-based event system
text_classification
使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,bert,bert-cnn,bert-rnn,bert-rcnn,han,xlnet等等做文本分类，以及对比
Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
FinanceHubMaterials
Guides, tutorials and presentations
FundamentalAnalysis
Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.
pyfinance
Python package designed for general financial and security returns analysis.
ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
optionmatrix
Financial Derivatives Calculator with 168+ Models (Options Calculator)
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
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
embedded-resources
Embedded Artistry Templates, Documents, and Source Code
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
ta
Technical Analysis Library using Pandas and Numpy
dx
DX Analytics
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.
alpha-mind
quantitative security portfolio analysis
deep-stock
Deep Learning for Stock Market
multitasking
Non-blocking Python methods using decorators
data_mining_models
Basic data mining model, including feature importance display
cmake-examples
Useful CMake Examples
pyOptionPricing
Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging
tv2bt
A python package that bridges Tradingview alerts to backtrader.
trendet
:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:
nimo-markdown-cv
Maintain your CV in Markdown :sparkles: