DUCKQUANT / THE QUANT & AI DIRECTORY
196 resources, ranked by in-directory PageRank
This project implements a machine learning-based trading bot using the lumibot library. It backtests trading strategies on historical data retrieved from Yahoo Finance and…
Algorithmic trader and C++ client for the Alpaca Markets paper trading API.
quote trade telegram trading bot with client API
🧠 Project Description: IBKR Telegram Trading Bot Automated bot that connects Telegram, TradingView, and IBKR. Configure trade presets via Telegram, react to TradingView alerts,…
Algorithmic Trading with Deep Learning
Easy-to-Use Reinforcement Learning Trading
Multi-strategy algorithmic trading platform designed for institutional-grade automated execution across futures, equities, and options markets. Built with Python and Flask, this system provides real-time…
An example algorithm for a momentum-based day trading strategy.
Golang stock market technical analysis library
A RESTful data service for Interactive Brokers that automatically opens and closes positions given only a symbol and a time to exit the position.…
An exhaustive, data-driven comparative study of India's two most consequential fintech platforms through a period of explosive growth, regulatory siege, and strategic reinvention.
Leading online trading solutions for traders, investors and advisors, with direct global access to stocks, options, futures, currencies, bonds and funds. Transparent, low commissions…
Live Moomoo trading dashboard with TypeSafe Jev market reviews
Fullstack Trading Strategies Dashboard. Backend: Python with FastAPI calling Alpaca Markets Paper Trading, Oanda FX, CoinGecko and Alpha Vantage API. Frontend: React Router with…
Institutional transaction cost analysis (TCA) **library** for centrally-traded futures
