Agentic AI-driven Quantitative Alpha Builder. Streamline alpha generation with autonomous research navigation and backtesting.
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Updated
Feb 23, 2026 - Python
Agentic AI-driven Quantitative Alpha Builder. Streamline alpha generation with autonomous research navigation and backtesting.
OpenFR:A lightweight agent for financial research
Quool, a quantum financial tool, supporting native file data access, database access, crawler data access, and backtest together with analysis.
AI-powered autonomous financial research agent for US stocks, Chinese A-shares, and Hong Kong stocks. Built with TypeScript, Bun, and LangChain.
Production-tested multi-agent financial research system built with OpenClaw. 4 specialized agents collaborate on data analysis, quality control, and visualization.
A glimpse of Futures trading. Data Analytics | Quantitative Analysis | Model Development | Risk Management | Wealth Management
Provides building blocks to implement financial research workflows to extend the functionality provided by the Bigdata.com SDK
Agentic finance examples for tool-enabled research workflows, market and macro retrieval, multi-agent analysis, and MCP-native research orchestration.
Created a daily automated agentic AI workflow that fetches top financial headlines (Global + India), summarizes them using OpenAI, and emails a crisp morning brief every day at 9:00 AM.
Business Case: Traditional banks and Fintech Startups Subjective research
http://www.neuracore.tech/ Professional AI-powered investment research platform with multi-agent analysis system. Delivers institutional-grade equity research reports.
Analyzing market betas to assess asset sensitivity, systematic risk, and fcator analysis.
Business Case: BNPL Subjective research case study
An autonomous agent for deep financial research
Business Case: Profit driven vs Growth driven Subjective research
Business Case: Discounted Cash Flow Modelling Using Excel
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