DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 7,561–7,596 of 14,444 resources
A New DAPO Algorithm for Stock Trading (arXiv:2505.06408) Implementation of our IEEE IDS 2025 accepted algorithm combining Dynamic Sampling Policy Optimization
Long term electricity market agent based model simulation used to observe the effect of policy on investment decisions
The project simulates a generic agent based market model. The aim is to explore intimately, by simulation, the process of price formation and the…
Automate professional investment research by applying value investing principles from Buffett and Munger through Claude AI agents
Open prompt stack for public-market research. Cross-harness skill suite (Claude Code / Codex / OpenCode) for secondary-market investment research with 13
Reusable multi-round research skill for evidence-backed product, market, technical, open-source, and investment-style surveys
A production-grade implementation of an Investment Portfolio Management System created for testing LLM translation of real world legacy applications
A professional-grade, modular, and scalable AI trading bot built for MetaTrader 5. Designed to trade Gold (XAU/USD) using real-time ML trend analysis
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.
QuantumFlow - Distributed LLM inference scheduling framework with multi-backend support (vLLM, TGI, SGLang), adaptive scheduling strategies, and cluster
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance
S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond — redefining the accuracy-efficiency Pareto front for X-LLMs KV quantization
A Model Context Protocol (MCP) server for Binance.US API. Provides standardized access to market data, spot trading, wallets, accounts, staking, OTC
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
