DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Deep Reinforcement Learning for Portfolio Optimization
A curated list of Prediction Market Tools - AI Agents, Analytics, APIs, Dashboards, Copy Trading, Alerting, Tracking and More!!
Multi-agent swing trading system — automated screening, research, and execution with backtesting and live trading
Multi-Agent AI Investment Analysis Engine
This multi-agent template is support Vietnam stock
Open-source A-share AI research workstation — multi-agent analysis, simulated trading loop, personal knowledge base; runs fully on your machine
HedgeAgents: A Balanced-aware Multi-agent Financial Trading System
Advanced Multi-Agent AI Crude Oil Trading System with Adversarial Validation 2026
Autonomous multi-agent crypto intelligence & trading ecosystem for Robinhood Chain L2 (EVM 4663) operated via Discord Command Center, Terminal TUI, REST API, &
Boilerplate RAG and LLM in financial analysis. MongoDB, MongoDB VectorDB, Chroma, FastAPI, Langchain, and React submodule for UI
[ICML 2026] BizFinBench.v2: A Unified Offline–Online Bilingual Benchmark for Expert-Level Financial Capability Evaluation of LLMs
Optimized Large Language Models for Financial Applications – Efficient, Scalable, and Domain-Specific AI for Finance
[ICLR 2026] "When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms"
OpenFR:Multi-Agents for financial research
GPTStonks is a financial chatbot powered by LLMs and enhanced with data frameworks. It provides natural language conversation capabilities for financial
This repository provides tools and workflows for stock analysis using large language models (LLMs). It combines financial data processing with advanced natural
LLM tools for Home Assistant that extends Voice Satellite with weather, financial, image and video search capabilities. Provides tools that conversation agents
Evidence-grounded financial risk analysis from corporate filings, combining constrained LLM interpretation, deterministic analytics, versioned rules, and
Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports…
Open-source financial multimodal LLM for document understanding, chart/table reasoning, numerical reasoning, and financial analysis, with SFT, dual-branch RL
Evidence-first AI workflow for economic and financial research: literature identification data econometrics verifiable LaTeX. 43 data sources, 58 method
AI-Powered Personal Finance Assistant - Transforming bill images into intelligent financial insights with Vision LLM technology
FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment
Collection of impressive LLM apps with a focus on the financial sector
US stock analysis skills for LLMs (Claude code, Gemini ...) AI
An open-source AI financial advisor that learns your situation and gets smarter every conversation
AI agent skill that answers macro questions — housing, gold, BTC, geopolitics — with probability estimates mined from 13 financial data sources (Polymarket
This is the project for deep learning in stock market prediction
Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance
This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3
Attention-based Deep Reinforcement Learning framework for portfolio allocation on S&P 500 equities. Includes custom environment, policy architecture with
Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell
AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio
This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly
An RL model that uses double deep Q learning to generate an optimal policy of stock market trades
