G_will's repositories
hft
real high-frequency-trading system based on c++
qstrader
QuantStart.com - QSTrader backtesting simulation engine.
czsc
缠中说禅技术分析工具；缠论
tcapy
Open source TCA (transaction cost analysis) Python library for FX spot
quantecon-notebooks-python
A Repository of Notebooks for the Python Lecture Site
trading-server
Multi-asset, multi-strategy, event-driven trade execution and management platform for automated buy-side trading of common markets, using MongoDB for storage and Telegram for user notifications/trade consent.
mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
quantstats
Portfolio analytics for quants, written in Python
Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
pyfmpcloud
A python wrapper for the Financial Model Prep API for analysis of public companies
Time-series---deep-learning---state-of-the-art
Scientific time series and deep learning state of the art
simfin-tutorials
Tutorials for SimFin - Simple financial data for Python
Research
Open sourced research notebooks by the QuantConnect team.
banpei
Anomaly detection library based on singular spectrum transformation(sst)
eiten
Statistical and Algorithmic Investing Strategies for Everyone
AlphaPy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
MyQuant
我的量化交易学习实践代码
Finance
Here you can find all the quantitative finance algorithms that I've worked on over the past year!
ML-notes
notes about machine learning
XMU-thesis
A LaTeX template
alphatools
Quantitative finance research tools in Python
tseries-patterns
trend / momentum and other patterns in financial timeseries
Tutorials-1
Ipython notebooks for math and finance tutorials
UnusualVolumeDetector
scans every ticker on the market, gets their last 5 months of volume history, and alerts you when a stock's volume exceeds 10 standard deviations from the mean within the last 3 days
GammaScalping-1
Option Strategy for Futures
dslp
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
multi-factor-gm-wind-joinquant
基于掘金+万得+聚宽的多因子策略开发框架