DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 10,585–10,620 of 14,444 resources
A real-time cryptocurrency price tracker that sends price alerts directly to Telegram using BeautifulSoup and Requests.
Public repository by VasylK27. Primary language: Python.
Public repository by RiaLnN. Primary language: Python.
Public repository by blockchain726. Primary language: JavaScript.
Crypto Bot that will send real time alerts if a price of a coin is above/below target level. You can also retrieve current prices…
Public repository by aryanvikash. Primary language: Python.
📋 A Python bot that sends real-time cryptocurrency price alerts using Telegram and WebSockets.
AI-powered Indian news intelligence platform — scrapes, verifies, deduplicates, and summarizes news in 8 languages with real-time stock alerts and WhatsApp digests. Startup-style:
OKX + DeepSeek AI quantitative trading platform
Public repository by 27ye. Primary language: Python.
Public repository by kindofzero. Primary language: Python.
Comprehensive Indian stock market analysis platform — Technical analysis, fundamental analysis, chart patterns, multi-bagger screener, quant alpha factors, and broker integration.
LLM-driven alpha factor mining framework for US equities with walk-forward backtesting, 8-gate signal validation, and paper-trading execution
ML pipeline for SmartBeta momentum factor on equity portfolio
Public repository by ykliu0213. Primary language: Jupyter Notebook.
Smart Beta Portfolio Construction. Using Data from CRSP and Compustat, construct an "ideal"/reference portfolio for factors like momentum, value, quality, etc.
Replication of smart beta strategies including Risk Parity, Momentum, and Fama-French-Factors
A comprehensive approach to construct a portfolio: factor model, Bayesian shrinkage, Black-Litterman model, and smart beta
Repo for the Smart Beta strategies written for the QuantConnect platform
Chrome extension that automatically formats quotes, apostrophes, dashes, and symbols with their typographically correct characters.
Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment. Implementation of Zhang et al. 2020 paper.
Public repository by zzvjohn. Primary language: Python.
Public repository by hsrxr. Primary language: Python.
Public repository by oficcejo. Primary language: Python.
A powerful Model Context Protocol (MCP) server for calculating WorldQuant 101 Alpha factors using real-time Chinese stock market data from Tushare. Built with TypeScript…
A simplified implementation of AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)
Public repository by junzjjj7-spec. Primary language: Python.
Production ready prototype factor model, alpha factors based on hypothesis proposed in the paper Overnight Returns and Firm-Specific Investor Sentiment by David Aboody et…
📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)
Public repository by DanerHeart. Primary language: Python.
Public repository by JunyueLiu. Primary language: Jupyter Notebook.
Modeling a multi-alpha factor stock portfolio. For Udacity's AI for Trading Nanodegree.
FactorMoE: A Framework with Mixture-of-Experts and Attention to Dynamically Combine Alpha Factors in Quantitative Investment
Performance analysis of predictive (alpha) factors
Automated two-sided market maker for Lighter perpetual futures. Spread width is driven by realized volatility, and an order-book imbalance (OBI) signal computed from Binance's…
