DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 12,025–12,060 of 14,444 resources
An AI-powered Retrieval-Augmented Generation system for querying SEC 10-K filings. Built with Flask, LangChain, and Google Gemini AI, it enables natural language Q&A, cross-company…
Engineering case study: a financial-document platform with OCR, structured extraction, reconciliation, human review and policy-grounded AI audit.
Public repository by nasrunzawawi. Primary language: Jupyter Notebook.
Public repository by Muskan-Gupta-tech. Primary language: Python.
Public repository by soumyaR5. Primary language: Python.
Open-source toolkit for extracting and structuring financial information from business documents.
Financial document AI: evidence-checked extraction (structured outputs), RAG Q&A with page citations, a tool-calling AI agent with a verifier, and LLM evals against blind…
Public repository by Nicholas1025. Primary language: Python.
FinBERT sentiment signal on S&P 500 earnings call transcripts
Sentiment analysis on the latest Earning Call Transcripts(Q4 2018) for 25 companies.
Feed top 100 companies' earnings call transcripts to ChatGPT
This project performs sentiment analysis on earnings call transcripts using the Loughran-McDonald (LM) dictionary. By analyzing the sentiment expressed in these calls, the project…
End-to-end NLP pipeline that ingests S&P 500 earnings-call transcripts, extracts and cleans speaker blocks, infers roles, and scores sentiment with VADER + FinBERT (with…
This project explores the relationship between real-time market sentiment and market movements, leveraging sentiment analysis on financial news, social media, and earnings call transcripts.…
Uses FinBERT to ingest biotech earnings call transcripts, scores sentiment, and links language to stock reactions
Analyze earnings call transcripts with Watson Tone Analyzer and Natural Language Understanding
This code is for the book
Multi-threaded Algorithmic Trading Platform with engine and FIFO limit orderbook built in C++
NexusTrader is a professional-grade open-source quantitative trading platform designed by Scott Zhang
Multi-strategy algorithmic trading platform designed for institutional-grade automated execution across futures, equities, and options markets. Built with Python and Flask, this system provides real-time…
A High Performance Live Trading and backtesting platform written in C++.
Distributed quantitative backtesting platform with priority scheduling, Ray-powered parallel execution, and real-time progress tracking.
This is a backtesting platform to test trading strategies
Python backtesting platform with CLI & interactive web charts (Backtrader, Flask, Lightweight Charts).
general purpose backtesting platform, prevents look-ahead bias
A next-generation AI-powered algorithmic trading platform supporting strategy backtesting, live/paper trading, parameter optimization, and intelligent analysis.
ML/RL algorithmic trading platform with leakage-free features, walk-forward validation, FastAPI signals, Redis, and PostgreSQL
AI-powered crypto algorithmic trading platform with TradingView integration, multi-exchange execution, 26 pre-filters, backtest engine, DCA/Grid strategies, WebSocket real-time streaming
A personal, full stack algorithmic trading platform for Indian stocks/ETFs, built on Zerodha Kite Connect. It covers the whole loop: pull market data →…
Open-source AI algorithmic trading platform for Indian equities. Multi-agent LLM pipeline with autonomous daemon, INDstocks broker integration, and AI-powered position management. Built on TradingAgents.…
An open-source algorithmic trading platform written in Python
Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform
InfinityTerminal - A beginner-friendly Stock Market Simulator PC App with Portfolio Management Tools for Mock Trading on NSE Stocks and Indices.
A quantitative finance library written in Go
