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

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

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

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

A Deep Graph-based Toolbox for Fraud Detection

Machine learning models for time series analysis

Python Financial ENGineering (PyFENG package in PyPI.org)

A collection of methods for solving Finance/Accounting equations, implemented in C#.

Applications of Monte Carlo methods to financial engineering projects, in Python.

Financial Derivatives Calculator with 168+ Models (Options Calculator)

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators

Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.

Markowitz portfolio optimization on synthetic and real stocks

My approaches to Financial Forecasting Challenge by G-Research

https://t.me/GoldenMiddleMoneyBot · https://t.me/MadhyamapratipadaMoneyBot

Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉

Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.