DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will introduce different types of…
A controlled vocabulary of FIX Protocol business terms
NASDAQ ITCH 5.0 limit-order-book reconstructor, matching engine & queue-aware backtester in C++20
Order Book Matching Engine for Stock Exchanges (1us latency for matching)
Various implementations of limit order books (matching engines)
Low latency Limit Order Book and Matching Engine created in C++, able to handle over 1.4 million transactions per second.
🚀 OptionXI – India’s First Open Source Virtual Trading Platform Educational trading simulator built with Flutter and Supabase using real Indian stock market data.…
Public repository by tubakhxn. Primary language: Python.
Trading Robot based on LSTM-PPO
A Deep Reinforcement Learning Trading Bot with PyTorch
As a graduate majoring in Economics and Finance, I combined my passion of capital market with newly acquired programming skills for an end to…
Implementation of Deep Q Learning and Policy Network models to maximize profit from trading
Development of a deep learning trading bot based on natural language processing using 22k financial news and 96m chart points, including offline trading simulation…
Public repository by aakula7. Primary language: Jupyter Notebook.
Public repository by marzookcyril. Primary language: Jupyter Notebook.
Public repository by Kamuyu-N. Primary language: Python.
Public repository by Jiach-dev. Primary language: Python.
Repository for deep learning concepts applied to crypto curency trading.
A deep learning model combining CNN-based time-series forecasting with mean reversion strategy for stock trading insights.
Implementing an online Deep Learning trading algorithm on the energy market that learns on-the-go with plans for future optimization using FPGAs
Project exploring the applications of machine learning in finance. Using NumPy, pandas, Matplotlib, and TensorFlow, the project analyses and visualises forex data, builds a…
Public repository by JacquesGariepy. Primary language: Python.
We use deep reinforcement learning to create a trading algorithm.
Public repository by kevinqli. Primary language: Python.
Trading Bot for Foreign Exchange using Reinforcement Learning
Reinforcement learning applied to quantitative trading
Using the Tensortrade framework for training and testing a reinforcement learning agent for cryptocurrencies
Reinforcement Learning Algorithms using pytorch
Objective: Build a self-learning financial document AI system that ingests any financial document and converts it into a validated financial knowledge object.
This code is for the book
Structured penetration testing roadmap with labs, milestones, and portfolio tracks.
In my 'Portfolio_Management' tool, I use advanced ML models to predict stock returns and optimize portfolios. It integrates dividend forecasting and the Black-Litterman model,…
Ultra-fast Limit Order Book for Node.js written in TypeScript for high-frequency trading (HFT) :rocket::rocket:
