finrobot-multi-agent多智能体金融分析平台,支持股票研究、市场预测、财报解读与量化回测策略构建,覆盖全球市场数据分析。
Install via ClawdBot CLI:
clawdbot install tangweigang-jpg/finrobot-multi-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval (Audited Apr 23, 2026 · audit v1.0
Generated May 23, 2026
Investors use FMP API or multi-agent pipelines to automatically generate comprehensive equity research reports combining financial statements, peer comparisons, and recent news, reducing manual analysis time.
Traders build and backtest quantitative strategies like MACD golden-cross or volume breakout on A-share stocks using ZVT framework, with support for HK and crypto markets, enabling rapid strategy iteration.
Financial analysts deploy multi-agent systems to interact with clients, gather requirements, and produce customized annual financial analysis reports, streamlining the reporting process.
Users leverage an intelligent agent interface to access OpenBB's comprehensive financial data capabilities, including market data, fundamentals, and technical indicators, for integrated market analysis.
Analysts integrate macro-economic data from multiple global markets (US, HK, crypto) into factor computation and trading pipelines, enhancing strategy robustness with cross-market signals.
Offer tiered subscription plans providing access to automated equity research report generation, multi-agent annual report creation, and OpenBB data agent services. Revenue from monthly or annual fees per user or team.
License the finrobot-multi-agent pipeline to hedge funds and prop trading firms as a white-label solution for backtesting A-share, HK, and crypto strategies, charging per-seat or per-asset-under-management fees.
Provide consulting services to design, build, and deploy custom quantitative strategies for clients, leveraging the multi-agent platform. Revenue from project-based consulting fees and ongoing maintenance contracts.
💬 Integration Tip
Ensure Python 3.12+ with uv package manager; load reference files (LOCKS.md, ANTI_PATTERNS.md) before generating backtest code to avoid semantic lock violations and anti-patterns.
Scored Jul 20, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...
Navigate and understand codebases using agentlens hierarchical documentation. Use when exploring new projects, finding modules, locating symbols in large files, finding TODOs/warnings, or understanding code structure.