DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 181–216 of 14,444 resources
Open dataset and API providing fundamentals, prices and filings for LLM-based financial applications.
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by…
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean structured…
FinQA is a dataset of expert-written QA pairs requiring numerical reasoning over financial report tables and text
Searchable database of SEC 13F institutional holdings filings across thousands of managers.
An orchestration platform for the development, production, and observation of data assets.
dukascopy-node is an open-source Node.js library and CLI tool for downloading historical tick data for Stocks, Crypto, Forex, Commodities, Bonds, CFDs, ETFs and more…
AllTick provides tick-level financial market data APIs across Forex, Stocks, Crypto, Commodities and Indices, delivered over REST and WebSocket.
C#/.NET base library for implementing cryptocurrency exchange REST and WebSocket API clients.
Brokerage offering market data APIs for equities and options including sandbox access.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to…
the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.
An open source python library for automated feature engineering.
News, data, products, services and IPO information from HKEX - Asia's premier international capital market.
Get Official Stock Quotes, Share Prices, Market Data & Many Other Investment Tools & Information From Singapore Exchange Ltd
JPX official market data, trading statistics and reference prices for Japanese equities and derivatives.
Excel and Google Sheets add-in pulling fundamental and market data for screening and models.
Time-Series-Optimized Transformer for Observability.
ABIDES is an agent-based interactive discrete event simulation environment for studying market microstructure
Equity research for analysts who refuse to settle: the business, the numbers, the valuation and your own forecast on US stocks, for disciplined, data-driven…
This is the official implementation of CIKM 2025 FinCast Financial Time series foundation model.
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts".
About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral).
MOMENT: A Family of Open Time-series Foundation Models, ICML'24.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
IBM Granite TimeSeries foundation models, including TinyTimeMixers, for zero-shot and fine-tuned forecasting.
PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best.
created by the merger of the New York Cocoa Exchange and New York Coffee and Sugar Exchange
For the theoretical framework as well as results from the running code see
Real-time options analytics API. Greeks, gamma exposure (GEX), SVI volatility surfaces, and market data for 6,000+ US equities & ETFs plus CME futures (gold,…
Evolutionary computation framework used for genetic-programming strategy discovery.
Morningstar is an investment research company offering mutual fund, ETF, and stock analysis, ratings, and data, and portfolio tools. Discover actionable insights today.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Meta's gradient-free optimisation platform for derivative-free parameter tuning.
Sequential model-based optimisation library built on scikit-learn for costly black-box functions.
