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Found 67 Skills
Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally
Implements algorithmic trading strategies using quantitative models and financial APIs for automated trading.
Backtrader 开源量化回测框架，支持多数据源、多策略、多周期回测与实盘交易，纯Python实现。当用户明确提及backtrader相关策略开发时使用。
Build and deploy agentic finance applications on the Alva platform. Access 250+ financial data sources (crypto, equities, macro, on-chain, social), run cloud-side analytics, backtest trading strategies, and release interactive playbooks -- all from your AI agents.
Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, efficient frontiers, scenario generation, or NVIDIA cuOpt.
生成 akquant 框架的可执行量化策略代码，涵盖数据接口、事件驱动、风控与优化；当用户需要开发 akquant量化策略 时使用
Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.