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Agent Trading Predictor

技能已验证活跃

Agent skill for trading-predictor - invoke with $agent-trading-predictor

目的

To provide a cutting-edge AI agent capable of predicting market movements and executing trades before traditional systems, leveraging temporal computational advantages for superior performance.

功能

Predictive execution before market data arrival
Latency arbitrage and computational speed advantages
Real-time risk assessment using sublinear algorithms
Portfolio optimization and market microstructure analysis
Integration with Claude Flow for multi-agent swarms and consensus decisions

使用场景

High-frequency trading with a temporal lead
Cross-market arbitrage by exploiting latency differences
Real-time portfolio optimization using sublinear algorithms
Coordinating trading decisions within multi-agent swarms

非目标

Replacing fundamental market analysis
Providing financial advice to individual investors
Operating without access to real-time or near-real-time market data feeds

工作流

Calculate temporal advantage metrics (light travel time, computation time, advantage).
Analyze market signals and portfolio risk.
Predict potential trades using temporal advantage.
Validate trading advantages and assess risk.
Optimize portfolio and execute trades.
Coordinate decisions and execution with other agents or systems.

安装

npx skills add ruvnet/ruflo

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证

97 /100

13 days ago 分析

信任信号

最近提交13 days ago

GitHub 所有者 ruvnet

星标50.2k

下载量 68.3k

许可证MIT

网站cognitum.one

状态

查看源代码

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