Lumibot vs QuantDinger
======================

QuantDinger is positioned as a private AI quant operating system. Its appeal is
the broad self-hosted stack: charting, AI-assisted research, Python strategies,
backtests, and live execution surfaces.

Lumibot is different because it is first a Python trading and backtesting
library. It can be run locally, embedded in your own code, or paired with
BotSpot when you want a managed cloud path for hosted data, parallel backtests,
broker connections, deployment, monitoring, alerts, audit history, and
kill-switch controls.

Where QuantDinger Fits
**********************

QuantDinger is useful when you want a self-hosted operating-system style stack
for quant workflows.

Where Lumibot Fits
******************

Use Lumibot when you want a Python-first framework that supports deterministic
strategies, AI trading agents, backtests, and broker execution paths without
requiring you to adopt a full self-hosted platform.

Lumibot supports:

- normal Python strategy code
- AI trading teams inside the same lifecycle
- stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and
  technical indicators
- supported brokers such as Alpaca, IBKR, Tradier, Schwab, Tradovate, ProjectX,
  Bitunix, and selected CCXT crypto paths
- BotSpot MCP tools for Codex, Claude Code, Cursor, and other coding agents

Short Version
*************

QuantDinger is a self-hosted AI quant OS. Lumibot is the Python trading
framework, with BotSpot as the managed cloud path when you want the runtime and
monitoring handled for you.