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.
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Updated
Jun 20, 2023 - Python
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.
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.
Shows you missed gains if you were to invest money instead of spending it
TypeScript client library for QQQ backend APIs. Shared utilities for QQQ frontend applications.
React admin dashboard for QQQ applications. Material-UI components with entity management.
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.
GitHub template for new QQQ applications. Use as template when creating repos.
QBit for workflow automation. User-defined conditional logic and state machines.
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