Analyze historical price patterns to identify support/resistance levels, calculate technical indicators, and backtest trading strategies using structured candlestick data from specific timeframes.
Retrieve a list of indicators for a specified dataset, such as 'IFS', 'DOT', or 'BOP', from the local indicators directory. Simplifies data access and analysis with JSON file integration.
Generate AI-driven trading signals for cryptocurrencies, identifying long and short positions based on token IDs, symbols, dates, market conditions, and technical indicators. Access actionable insights for informed crypto trading decisions.
An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.
Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.