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awesome-quant

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

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

data-science--cheat-sheet

Cheat Sheets

deep_learning_machine_learning_stock

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

dermanpapers

Notebooks that replicate original quantitative finance papers from Emanuel Derman

dupirenn

Neural network local volatility with dupire formula

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

financial-risk-management

Code for Financial Risk Management

fromthetransistor

From the Transistor to the Web Browser, a rough outline for a 12 week course

god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

intraday_nope_research

julia

The Julia Language: A fresh approach to technical computing.

jupyter-notebooks

Quantitative Risk Book

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

llamarust

Run inference for Large Language Models on CPU, with Rust 🦀🚀🦙

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

ml-in-trading

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

mybooks-1

mybooks-2

papers

My Quant Research Papers (incl. Coding & Excel Examples)

piml-toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development and validation

pymysql

Pure Python MySQL Client

python_option_pricing

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

quantresearch

Quantitative analysis, strategies and backtests

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

rsi-analysis

The objective is to understand how many companies are above or below a specific threshold to understand the level of overbought or oversold of the companies within a specific index