DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
MarketBot is a finance-customized version of openclaw, built as a dedicated AI agent for market intelligence, trading analysis, and decision support
Headline Sentiment Analysis Backtester. Backtests trading strategy from ai-trading-prototype trading bot
This repository provides an AI-powered trading bot leveraging AlloraNetwork for automatic trading on HyperLiquid decentralized exchange. The bot integrates
AI-powered stock analysis system: Telegram bot triggers n8n workflows with FlowiseAI to generate technical analysis reports. Stores trading opportunities in
AI-driven intraday trading bot for Indian stocks. Jev ranks the Nifty 50 every 15s; code sizes each trade and places the stop; orders go…
Autonomous Solana trading bot with transparent execution
Self-hosted AI agent for enterprise data — financial, internal knowledge, the important stuff. Knowledge bases, workflows, agents, vector DBs, all in one box
3-Pipeline LLMOps Financial advisor. Steaming pipeline deployed on AWS, 24/7 collects, embeds live-data into QdrantDB. Training pipeline finetunes model on
PDF-Assistant-RAG is a complete, production-ready AI document assistant that lets users upload complex PDFs, financial reports, legal contracts, and research
The Financial Research Analyst Agent is a hierarchical multi-agent system that provides comprehensive stock analysis by coordinating 11 specialized AI agents
Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments
Financial agent api with multi-agent framework for scalable AI systems focusing on financial intelligence, RAG pipelines, observability, and secure governance
[MM 2025] A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
This repository contains related work, benchmarks and datasets for the paper "Large Language Models in Finance (FinLLMs)"
AI-native real-time and historical market data API covering US, Hong Kong, A-share, forex and crypto markets.
Repo of ACL 2025 Paper "Quantification of Large Language Model Distillation"
An easy-to-use package for implementing SmoothQuant for LLMs
QuantClaw is a plug-and-play task-type routing quantization plugin for OpenClaw
Community registry of LLM serving-path traps that produce confidently wrong measurements: templates, tool parsers, reasoning fields, quant kernel paths, CUDA
An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
[NeurIPS 2024 Oral ] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
[ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
Open-source app builder engine — intent to working app
LLM inference with 7x longer context. Pure C, zero dependencies. Lossless KV cache compression + single-header library
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs
The AI Trading Swarm of Ai Agents Framwork
Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading…
Open-source AI agent skills + 80+ strategy templates for autonomous trading on Hyperliquid — build, deploy, and protect strategies across crypto, equities
Official Bitget Agent Hub — open-source AI toolkit connecting Claude, Cursor, Codex & ChatGPT to Bitget crypto trading (89 UTA v3 ops) and market…
Real estate investing operations platform for DataSift.ai. 21 installable Claude skills plus the 74-agent pipeline behind them: county data intake, enrichment
Machine learning based credit risk prediction system
Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance
AI-Based Stock Trading for Indian Markets This project leverages AI and advanced analytical techniques to enhance stock trading strategies for Indian stocks
A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis
Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
