jxstanford

followers

following

stars

Seattle

John Stanford's starred repositories

AFML

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

Language:Jupyter NotebookBSD-3-Clause56100

lightweight-charts-python

Python framework for TradingView's Lightweight Charts JavaScript library.

Language:TypeScriptMIT87900

nautilus_trader

A high-performance algorithmic trading platform and event-driven backtester

Language:PythonLGPL-3.0163800

qick

QICK: Quantum Instrumentation Control Kit

Language:Jupyter NotebookMIT17200

opencommit

Auto-generate impressive commits with AI in 1 second 🤯🔫

Language:JavaScriptMIT544200

lightbus

RPC & event framework for Python 3

Language:PythonApache-2.019500

DearPyGui

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

Language:C++MIT1245800

basana

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

Language:PythonNOASSERTION43300

ss-python

An evolving Python project template that covers the full development lifecycle.

Language:JinjaMIT6200

talipp

talipp - incremental technical analysis library for python

Language:PythonMIT30500

quanttrader

Backtest and live trading in Python

Language:HTMLApache-2.044600

QuantResearch

Quantitative analysis, strategies and backtests

Language:Jupyter NotebookMIT172900

pysystemtrade

Systematic Trading in python

Language:PythonGPL-3.0243900

hftbacktest

A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

Language:RustMIT112600

fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Language:Jupyter NotebookMIT145100

research

Notebooks based on financial machine learning.

NOASSERTION3800

moonshot

Vectorized backtester and trading engine for QuantRocket

Language:PythonApache-2.019500

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Language:Jupyter Notebook1202900

databento-python

The official Python client library for Databento

Language:PythonApache-2.010100

chapyter

Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks

Language:PythonBSD-3-Clause79600

freqtrade

Free, open source crypto trading bot

Language:PythonGPL-3.02597400

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Language:Python1649000

awesome-notebooks

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

Language:Jupyter NotebookBSD-3-Clause233500

jupyter-ai

A generative AI extension for JupyterLab

Language:PythonBSD-3-Clause293800

Ax

Adaptive Experimentation Platform

Language:PythonMIT228700

pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

Language:PythonMIT487400

jupyter-quant

A dockerized Jupyter quant research environment.

Language:DockerfileApache-2.06000

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

CC0-1.01532700

best-of-python-dev

🏆 A ranked list of awesome python developer tools and libraries. Updated weekly.

Language:PythonCC-BY-SA-4.093200

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Language:PythonMIT1215000