SuperTrading AI

10 autonomous AI agents working together for multi-asset trading analysis, risk management, and execution

Agents

MATRIX

Multi-Agent Trading & Research Interface

AEGIS

Risk gate — position limits, drawdown, volatility

VELOCITY

Order execution and portfolio dispatch

ARCANE

Portfolio P&L tracking and performance metrics

MIDAS

Historical backtesting with Sharpe/Sortino/maxDD

HERMES

Paper broker and Alpaca live adapter

QUANT

Quantitative market analysis

TREND

Provider health monitoring + LLM fallback

SIGMA

Signal aggregation and scoring

PLUTO

Symbol utilities and data normalization

Quick Start

git clone https://github.com/gauravsengar24/SuperPower.git
cd SuperPower
pip install -e trading/
cp .env.example .env   # add your API keys
trading analyze AAPL --date 2026-06-29
trading backtest AAPL --from 2020-01-01  # defaults to present
trading dashboard

View on GitHub →

Deploy on Streamlit Cloud

Fork the repo on GitHub
Go to streamlit.io/cloud → New app
Select your fork, set main branch, file = streamlit_app.py
Add OPENAI_API_KEY and other secrets in Streamlit Cloud settings
Deploy!

Your dashboard will be live at https://your-app.streamlit.app

One-Click Launch

Launch instantly in GitHub Codespaces:

Open in Codespaces →