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.

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.

Starter project for building QQQ applications. Clone and customize.

Daily updated Equity Put/Call Ratio vs QQQ

Shows you missed gains if you were to invest money instead of spending it

Android SDK and sample apps for QQQ backends.

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

QBit for webhook handling. Inbound and outbound webhook management.

ERC-20_TOKEN_CONTRACT_for_QQQ

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

jlgl.github.io

IntelliJ plugin with templates and tools for QQQ application development.

TypeScript client library for QQQ backend APIs. Shared utilities for QQQ frontend applications.

Maven package registry for QQQ artifacts.

Target allocation for portfolio consisting of top 10 constituents of QQQ

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.

CLI for managing QQQ applications and infrastructure.

QBit for SFTP file transfers. User-defined imports and exports via SFTP.