DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Solana-based prediction market for human opinions with an agent CLI (@tbd-vote/cli) and AGENTS.md spec for AI agents to authenticate, list opinion campaigns…
Platform - Non-custodial AI agents executing backtested signals on Hyperliquid perps; every signal ships a public 18-month backtest scored −100..+100; scoped…
AI-powered trading research platform that validates any trading idea with event studies, statistical tests, and real market data across 15,000+ instruments.…
Extract decisions and signals from financial language. Representative subjects: Sentiment, topic models, filings extraction, earnings-call analysis, news event detection, named entities.
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
A curated list of awesome OSS, programmable APIs, and autonomous AI agents for developers in finance. Discover resources for quantitative analysis (Quant)…
Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library…
AlphaQuanter: An End-to-End Tool-Orchestrated Agentic Reinforcement Learning Framework for Stock Trading. Python · 0
StockSim: Multi-Agent LLM Financial Market Simulator — A realistic trading simulation platform for evaluating large language models in dynamic financial…
Reinforcement Learning in Market Making is a project that explores the application of RL techniques to develop market-making strategies, comparing them with…
Trains reinforcement learning trading agents on China's A-share stock market.
Open Data Platform for analysts, quants and AI agents. Python · 74,047
Bybit's official MCP server exposing 200+ V5 API tools for AI-agent driven derivatives trading.
Authors: Yijia Xiao, Edward Sun, Tong Chen, Fang Wu, Di Luo, Wei Wang. Developing professional, structured reasoning on par with human financial analysts and…
Authors: Tianjiao Zhao, Jingrao Lyu, Stokes Jones, Harrison Garber, Stefano Pasquali, Dhagash Mehta. The field of artificial intelligence (AI) agents is…
Authors: Li Zhao, Rui Sun, Zuoyou Jiang, Bo Yang, Yuxiao Bai, Mengting Chen, Jing Li, Zuo Bai. In financial trading, large language model (LLM)-based…
Authors: Yaser Faghan, Nancirose Piazza, Vahid Behzadan, Ali Fathi. Deep Reinforcement Learning (DRL) has become an appealing solution to algorithmic trading…
Authors: Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He. The utilization of Large Language Models (LLMs) in financial trading has…
An End-to-End Machine Learning Pipeline that combines financial news sentiment analysis with historical stock price features to predict short-term market…
Authors: Jie Zhu, Yimin Tian, Boyang Li, Kehao Wu, Zhongzhi Liang, Junhui Li, Xianyin Zhang, Lifan Guo, Feng Chen, Yong Liu, Chi Zhang. This…
Authors: Xiangyu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin J. L. Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang,…
Alpha Screening with LLM Reasoning via Reinforcement Learning N/A · 0
machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including…
CryptoQuant AI is an advanced, open-source quantitative trading platform designed to bridge the gap between algorithmic market execution and artificial…
A decentralized, AI-powered, quantum-encrypted, and neuro-interfaced financial technology platform unifying the cosmos of finance through blockchain…
US & HK stock market data for AI coding assistants — zero-auth, official sources. CBOE options with full Greeks 0DTE flow, FINRA market-wide short…
Authors: Fei Xiong, Xiang Zhang, Aosong Feng, Siqi Sun, Chenyu You. Recent advances in Large Language Models (LLMs) have shown remarkable capabilities in…
Authors: Jun Han, Shuo Zhang, Wei Li, Yifan Dong, Tu Hu, Yumo Zhu, Xiaomin Yu, Xin Guo, Zhaowei Liu, Kunyi Wang, Jingping Liu, Tianyi…
Streamlit web app with an SQLite user login/authentication system. Application allows users to select multiple stocks, metrics, and visualizations. A Langchain…
Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was…
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. Jupyter Notebook · 2,505
Authors: He Wang, Wenyilin Xiao, Songqiao Han, Hailiang Huang. Stock price prediction is challenging due to market volatility and its sensitivity to real-time…
microsoft/RD-Agent — Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core…
A machine learning app that analyzes the sentiment of financial analyst reports and detects potential bias in tone. It uses NLP techniques to classify…
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn…
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market.
