Jarvis Quant
Private
Jarvis Quant is a quantitative research platform built for analyzing financial markets. It combines a Python backend for heavy data processing with a React frontend for interactive visualization. Users can build and backtest trading models, analyze market patterns, and generate actionable insights from complex datasets. The platform processes large volumes of market data efficiently and presents findings through intuitive dashboards.
Tech Stack
PythonReactViteTailwind CSS
Key Features
Quantitative market data analysis
Trading model building and backtesting
Interactive data visualization dashboards
Python-powered data processing pipeline
Pattern recognition across financial datasets
Real-time market data integration
Screenshots
Screenshots coming soon