A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

matplotlib: plotting with Python

Examples and tutorials to help developers build AI systems

A SEC EDGAR MCP (Model Context Protocol) Server

Python and Cython scripts of machine learning, econometrics and statistical tools designed for finance.

This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating tho…

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

Deep Learning Statistical Arbitrage

A curated list of practical financial machine learning tools and applications.

The world's easiest, most powerful edgar library

This is the repo for my final QuantInsti Project.

Statistical Models and Methods for Financial Data

Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM

Tool for the retrieval of corporate and financial data from the SEC

The simplest way to deploy smart contracts

A simple Blockchain in Python

Solidity, the Smart Contract Programming Language

A compilation of patterns and best practices for the smart contract programming language Solidity

Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

⟠ A curated list of awesome Solidity resources, libraries, tools and more

Get your documents ready for gen AI

scikit-learn: machine learning in Python

A curated collection of links for economists

A community based Python library for quantitative economics

Python code for Examples from Introductory Econometrics: A Modern Approach, 6e by Jeffrey M. Wooldridge.

Python codes for estimating regression models (linear, non-linear, logit, nested logit, mixed logit, Poisson and others)

ML Models from scratch in Python (Linear Regression, Polynomial Regression, Poisson Regression, Logistic Regression, Gaussian Discriminant Analysis, Naive Bayes, SVM, K Means Clustering, Gaussian M…