zhd173's Stars
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
duckdb/duckdb
DuckDB is an analytical in-process SQL database management system
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
plotly/plotly.py
The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
ranaroussi/yfinance
Download market data from Yahoo! Finance's API
scipy/scipy
SciPy library main repository
ClementTsang/bottom
Yet another cross-platform graphical process/system monitor.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
polakowo/vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
jupyter-widgets/ipywidgets
Interactive Widgets for the Jupyter Notebook
rusqlite/rusqlite
Ergonomic bindings to SQLite for Rust
santosjorge/cufflinks
Productivity Tools for Plotly + Pandas
RazrFalcon/cargo-bloat
Find out what takes most of the space in your executable.
yhilpisch/py4fi
Python for Finance (O'Reilly)
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
est31/cargo-udeps
Find unused dependencies in Cargo.toml
enzoampil/fastquant
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
rusq/slackdump
Save or export your private and public Slack messages, threads, files, and users locally without admin privileges.
PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
bashtage/arch
ARCH models in Python
avhz/RustQuant
Rust library for quantitative finance.
plotly/jupyter-dash
OBSOLETE - Dash v2.11+ has Jupyter support built in!
PyPatel/Options-Trading-Strategies-in-Python
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
emoen/Machine-Learning-for-Asset-Managers
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
rolling-panda-san/notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
jamesmawm/mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
PythonCharmers/QuantFinance
Top training materials in quantitative finance
joshyattridge/smart-money-concepts
Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your trading strategies.
kannansingaravelu/PythonResources
My curated list of resources on Data Science, Machine Learning, and Quantitative Finance