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lona-trading-strategy

mindsightventuresmindsightventures

Create and manage algorithmic trading strategies on the Lona platform. Use when the user wants to build a trading strategy, write Backtrader code, generate a strategy from a natural language description, list or inspect existing strategies, or update strategy code. Covers both manual Python strategy authoring and AI-powered strategy generation.

195 days ago

lona-market-data

mindsightventuresmindsightventures

Browse, download, and manage market data for algorithmic trading backtests on the Lona platform. Use when the user wants to find available market data, download cryptocurrency data from Binance, inspect OHLCV time-series, or check what data is available for backtesting.

195 days ago

lona-backtest-analysis

mindsightventuresmindsightventures

Run backtests and analyze trading strategy performance on the Lona platform. Use when the user wants to test a strategy against historical data, check backtest results, view performance metrics like Sharpe ratio and drawdown, see trade history, or visualize trades on a chart.

195 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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