DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
A Python script to web scrape earnings calls transcripts from the Motley Fool website.
Public repository by mikelabadie. Primary language: Jupyter Notebook.
The project involves using public financial documents (SEC filings, earnings call transcripts) to build a RAG-based system that answers financial questions with grounded citations.…
An LLM app leveraging RAG with LangChain and GPT-4 mini to analyze earnings call transcripts, assess company performance, using natural language queries (NLP), FAISS…
Collaborative project with the Bank of England focused on enhancing the Bank’s risk assessment processes by leveraging advanced language models to analyze quarterly earnings…
Extracts individual earnings call transcript URLs from the Seeking Alpha earnings call transcript directory pages. Puts transcript URLs into a Google Sheet that can…
Learning Representation for Earnings Call Transcript via Structure-Aware Key Insight Extraction
CSC491 Capstone Project that uses NLP to analyze earnings calls transcripts.
Public repository by chyiin. Primary language: Python.
Summarization, Sentiment Analysis and Conversational AI Integration of Earnings Call Transcripts (ECTs).
Analyzes Earnings Call Transcripts to predict stock performance
An HTML parser for SeekingAlpha earnings call transcript Q&A.
Public repository by qiqi1996Aemlia. Primary language: Python.
Docker data pipeline for Data collection, Transformation, and storing it into MongoDB
Public repository by awinml.
a concurrent systematic trading strategies backtesting platform
Stock trading strategy using tushare as datasource and pyalgotrade as backtesting platform
Open-source GUI-based quantitative backtesting platform for strategy development, market visualization, and collaborative quant research.
Not production ready - Capital at risk. A Bitcoin leverage trading and backtesting platform that connects to popular Bitcoin exchanges. It is written in…
A-share ETF rotation research and backtesting platform with walk-forward, vectorized, and event-driven validation.
Algorithmic trading platform for Polymarket CLOB v2
Stateless MCP Server in AWS Lambda for AI assistants to interact with QuantConnect's algorithmic trading platform.
An open-source algorithmic trading platform written in Rust
AI-powered algorithmic trading platform
Production multi-asset algorithmic trading platform. 50+ bots across crypto, forex, and prediction markets with AI ensemble, HMM regime detection, Thompson sampling fleet controller, and…
Modular Algorithmic Trading Platform.
AI-powered algorithmic trading platform for Indian stock markets
Algorithmic Trading Platform in Java, based off the Alpaca API
a next-generation algorithmic trading platform built for institutional-grade performance and reliability. Designed with a hybrid Rust+Python architecture, it delivers >1M messages/second throughput with
AI-driven algorithmic trading platform — multi-broker (Tradier, Alpaca, Webull), LLM signals via OpenRouter, TradingView charts, OVTLYR market breadth, real-time WebUI, and MCP agent layer.…
An open source OEMS, and algorithmic trading platform in modern C++
An algorithmic trading platform for real-time data streams, designed for high scalability and advanced trading strategies.
Efiquant is an online algorithmic trading platform that helps users to build algorithmic crypto trading strategy in the easiest way with built-in code editor,…
AI based algorithmic trading platform for zerodha users
Farukon is a high-performance, Rust-based algorithmic trading platform designed for ultra-low-latency backtesting, multi-strategy optimization, and real-time execution. Built with zero-copy FlatBuffers, SIMD-accelerated calculations, and…
