Backtest crypto and stock trading strategies on historical data to compute performance metrics like Sharpe and Sortino ratios, maximum drawdowns, equity curves, and optimize parameters via grid search.
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量化交易策略開發
67 trading, DeFi, and quantitative finance Agent Skills. Market data APIs, on-chain analysis, backtesting, risk management, execution, tax compliance, and more.
Generate trading signals from technical indicators and market analysis
Use Alva Agent for investing workflows: ask market questions with live financial context, set alerts, build or remix Playbooks, connect accounts, and backtest strategies on Alva Cloud.
Multi-agent cryptocurrency intelligence system with 7 specialized AI agents, 65 MCP tools, cognitive learning, and self-evolving capabilities for comprehensive market analysis and paper trading.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.