market-sentimentAnalyze market sentiment with a 0–100 score based on four dimensions, providing market state and trading suggestions.
Install via ClawdBot CLI:
clawdbot install deeplearning1993/market-sentimentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.alternative.me/fng/Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
投资者在交易前使用该技能分析市场情绪，结合恐惧贪婪指数和资金流向数据，评估市场风险与机会，辅助制定买入或卖出策略，以降低情绪化交易的影响。
市场营销团队利用该技能追踪Twitter和Reddit上的加密货币提及量，分析公众情绪变化，及时调整宣传策略或危机公关，以维护品牌声誉。
金融机构或交易所集成此技能，监控市场情绪波动和资金流向异常，识别潜在的市场操纵或泡沫风险，支持合规报告和风险预警系统的构建。
在线教育平台将此技能作为教学工具，帮助学生理解加密货币市场动态，通过实时情绪数据演示市场心理学概念，增强实践学习体验。
量化交易团队将情绪分析数据输入自动化算法，基于综合评分触发交易信号，优化投资组合管理，提高策略的适应性和收益稳定性。
每次调用技能收取0.001 USDT，适合低频用户或测试场景，通过小额交易积累收入，降低用户门槛并鼓励试用，可扩展至批量折扣或订阅计划。
向金融机构或交易平台提供API访问，按月或年收取订阅费，包括高调用限额和优先支持，确保稳定收入流并建立长期合作关系。
将分析结果打包成定制化报告或仪表板，销售给投资机构或媒体，提供深度洞察和历史趋势分析，创造附加价值并开拓新收入渠道。
💬 Integration Tip
集成时确保钱包地址正确以处理自动扣费，并测试脚本兼容性以避免调用错误；考虑添加错误处理机制以提高可靠性。
Scored Apr 19, 2026
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