DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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A hybrid RAG chatbot that answers financial and tax questions using structured data, regulatory documents, and AI-powered retrieval. Built with Django, FAISS
Developing a RAG-powered chatbot for CreditTrust Financial that analyzes customer complaints across five financial products. The AI tool retrieves relevant
Cutting-edge financial analysis tool using Retrieval-Augmented Generation (RAG) to process complex financial data. This project combines AI-powered document
An Interfernce RAG-based LLM Pipeline with Best Practice LLMOps
AutoQuantAI is an open source intelligent financial analysis platform integrating RAG, Algorithm Strategies,LLM,and Real-time Market Data (A-Share). It serves
A modular, multilingual, and multimodal Retrieval-Augmented Generation (RAG) system tailored for the financial analysis of Public Investment Fund (PIF) annual
Advanced RAG pipelines for medical (HealthBench, MedCaseReasoning, MetaMedQA, PubMedQA) and financial (FinanceBench, Earnings Calls) QA. LangGraph
LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy
Agentic RAG over 10-K filings with cited answers. LangGraph + Pathway. 1st place, Inter IIT Tech Meet 13.0
FinAuditing: a taxonomy-structured, multi-document auditing benchmark for LLMs (arXiv:2510.08886)
Open benchmark for parsing Indonesian casual finance chat into structured Rupiah transactions via LLMs
Agent Market Arena: a live multi-market trading benchmark for LLM agents (arXiv:2510.11695)
Fine-tuning LLMs using LlamaFactory for financial intent understanding Evaluating open-source models on OpenFinData benchmark Full implementation with multiple
The trading bot is designed to automate trading strategies using historical data, technical indicators, and machine learning. It connects to the MetaTrader 5
Build adaptive algorithmic trading bots using machine learning and custom logic for MetaTrader 5 scalping and swing strategies
Open Source Python library for Quantum Data Encodings in Quantum ML - multi-framework support, analysis tools
A Trading bot framework which uses a combination 1d KVO/Signal and VWAP strategies to place orders on Bitmex. Advanced strategies including other indicators
1 Introduction LendingClub is a peer to peer lending company in which their product allows consumers to both invest and borrow loans. They offer…
End-to-end Financial Fraud Detection system on 6M+ transactions — EDA, custom feature engineering (balance error ratios, velocity flags), SMOTE for class
Course Materials, Jupyter Notebooks, and Python Scripts for MooCs, Machine Learning for Algorithmic Trading Bots 2019
Contains code and data for machine learning-based forex trading strategy
Technic analyzer with ML (RTF) and signal sender bot using telegram
PancakeSwap V2 Prediction Bot With Machine Learning Automated Strategy, Auto Betting, Auto Claim
The ultimate community for Betfair enthusiasts, traders, and tech-savvy bettors! Whether you’re new to the Betfair Exchange or a seasoned trader, this is your
An open source trading bot to leverage machine learning in the stock market
Stock Trading Bot using Machine Learning
Bot trading automatizado com Machine Learning para Binance
Market Anomaly Detector is an AI-powered financial surveillance platform that detects unusual market behavior using machine learning, real-time analytics
Instantly query European financial data for AI. This FastMCP server connects the FinancialReports.eu API to powerful language models, making complex reports
This repository explores explainable deep learning models for financial fraud detection and anomaly analysis. It integrates Graph Neural Networks (GNNs)
FraudDetectionPipeline is a Data Science & Machine Learning project designed to detect fraudulent financial transactions. It includes data cleaning
A practical collection of financial machine learning projects based on industry blueprints. Covers stylized facts, feature engineering, ML models, and
Developing trading strategies as machine learning classification: Feature engineering, k-nearest neighbors, decision trees & random forests, and strategic
The Fraud Detection project aims to improve identification of fraudulent activities in e-commerce and banking by developing advanced machine learning models
Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across engineering and sciences
A Data Science/Machine Learning Project. According to Bolster , Global Fraud Index (as at June 2022) is at 10,183 and growing. This is high…
