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.

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.

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

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.

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.

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

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

Exploration of trading using Deep Q-Networks (DQN).

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.

A simple AI-powered market trend analyzer using Gemini API