Historical options data for three major U.S. equity ETFs: SPY (S&P 500), IWM (Russell 2000), and QQQ (Nasdaq-100). The dataset spans January 2008 to December 2025 and includes over 53 million option contracts with Greeks, implied volatilities, and market microstructure variables.

The bot is ideal for traders looking to reduce the amount of time spent on researching and analyzing the markets, as it can quickly scan for and identify the most profitable trades.

Starter project for building QQQ applications. Clone and customize.

Daily updated Equity Put/Call Ratio vs QQQ

QQQ 0DTE research framework with Theta realistic and no-Theta demo modes.

ERC-20_TOKEN_CONTRACT_for_QQQ

CLI for managing QQQ applications and infrastructure.

QBit for customizable table views. User-configurable table display settings.

Android SDK and sample apps for QQQ backends.

QBit for webhook handling. Inbound and outbound webhook management.

jlgl.github.io

IntelliJ plugin with templates and tools for QQQ application development.

CircleCI orb for QQQ project CI/CD pipelines.

QBit for role-based access control. User permissions and role management tables.

GitHub template for new QQQ applications. Use as template when creating repos.

QBit for workflow automation. User-defined conditional logic and state machines.

Maven package registry for QQQ artifacts.

Raspberry Pi Market Dashboard — A fullscreen, dark-themed Python dashboard for Raspberry Pi 5 that tracks SPY, DIA, and QQQ in real time using the free Finnhub API. Runs during U.S. market hours, shows intraday trends and previous-close lines, and saves daily data to CSV.