Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
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Updated
May 11, 2026 - Python
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
BlackRock Hackathon Award: STRAT brings professional risk management from BlackRock to individual investors looking to diversify & learn.
An awesome list of agents specialized for financial data analysis
br_stimpy: a python wrapper for Blackrock Neurotech's Cerestim API
Landr is a unique and user-focused portfolio building tool.
A collection of unofficial command-line utilities for use with Blackrock Neurotech Central software suite.
Object-oriented approach to loading Blackrock NSX neural data files in Matlab
Interactive Investment Portfolio for targeted audiences
Paper Implementation: AlphaAgents - Large Language Model based Multi-Agents for Equity Portfolio Constructions.
Blackrock Application Server
Python analyzer mapping high-value opportunities in the BlackRock ecosystem — ETF arbitrage, Aladdin integration, ESG strategies, and PE co-investment
Comprehensive analysis of BlackRock’s ESG-labeled ETFs (2017–2025), assessing portfolio alignment with sustainability claims, evolution of controversial exposures, and trade-offs in cleaner portfolio construction.
Repositorio con la propuesta de desarrollo de educación financiera para clientes retail de Blackrock. Además permite a Blackrock obtener datos demográficos sobre sus usuarios y así crear un plan de aprendizaje personalizado. Este reto fue entregado al squad 4 en el Talent Fest de la generación Mex011 de Laboratoria.
Fundamental financial analysis and relative valuation of BlackRock (NYSE: BLK) using FY2023–FY2025 financial data, peer benchmarking, and sensitivity analysis.
With these files I compare the Market Impact and Returns among DRL, TWAP and VWAP
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