FinSight: Towards Real-World Financial Deep Research. 🎯One ticker, one click, one publication-ready report.

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

WIP; Tracking 7 AI models as they pilot live stock portfolios using distinct, data-driven philosophies.

Simple Finance Forecasting Ai. This Ai Model uses historical price data to forecast future prices. The model is trained on data downloaded from Yahoo Finance using the yfinance library, and predictions are made using a linear regression Ai model from sklearn. The model supports all the symbols supported by Yahoo Finance.

A modern open source personal income tracking app.

Multi-agent AI assistant platform with specialized agents for coding, finance, news, real estate, travel, image generation, and shopping.

A modern open source personal income tracking app.

A production-grade implementation of a memory-efficient transformer specifically designed for tabular time series data.

We are researching and developing our own in-house LLM, which will be focused on finance-based chats and requests.

🛒 Explore the AI Shopping Agent to compare prices and generate smart purchase reports across top e-commerce platforms effortlessly.

AlphaPulse: A real-time financial intelligence dashboard leveraging NLP (TextBlob) for sentiment analysis and Scikit-learn for technical trend forecasting. Built with Streamlit & yfinance.

An AI-powered finance agent using Agentic AI and Agno for predictive financial analysis

A stock market analysis is an multi-agent Agentic AI project using Python, yfinance, and AI agents.

🚀 AI Investment Advisor (v1.0): 專業級 7-Agent Swarm 智能體集群。整合 Council Debate 辯論機制、pgvector 語義記憶與多層級 LLM 路由。A self-optimizing quantitative ecosystem built with Clean Architecture, DSPy, and 75%+ test coverage. 📈

Autonomous multi-agent trading simulation that replicates a buy-side trading floor. Built with Claude, LangGraph, and Flowise/MCP to enable persistent, privacy-aware agentic workflows.

RAG-powered ETF intelligence chatbot built with LangChain, OpenAI, Chroma, and Streamlit. Retrieves ETF knowledge from documents and generates grounded responses for educational use.

A simple AI-powered market trend analyzer using Gemini API

Subjectivity-aware RAG pipeline for investment questions with web search, multi-strategy scraping, Worker + Checker LLMs, and deterministic claim verification.

AI-based credit risk analysis system that predicts loan default risk using machine learning for data-driven financial decision making.

StockPicker Crew — A Python-based multi-agent AI framework using CrewAI, enabling coordinated agents to research, analyze, and generate reports (e.g., on stock-picking strategies). Easy to configure and run with YAML-based agent/task definitions and crewai run.