stock-prediction-dailyA股个股日线涨跌预测系统。七大能力:训练模型(XGBoost二分类+交叉验证+输出模型文件和报告)、优化模型(扩展特征+特征筛选)、模型预测(腾讯日线)、模型评估(日线T+1验证)、输出网页(Flask五页面仪表盘)、板块分析(直接调用stock-sector-research技能)、个股分析(直接调用stock...
Install via ClawdBot CLI:
clawdbot install yejiming/stock-prediction-dailyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://127.0.0.1:5000Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
中小型量化投资团队需要搭建个股日线涨跌预测系统,利用沪深300成份股历史数据训练XGBoost模型,通过交叉验证确保模型稳定性,并生成详细的模型报告用于投资决策参考。
券商研究所分析师需要定期生成板块和个股分析报告,通过调用板块分析和个股分析能力自动生成结构化报告,并集成到Flask仪表盘中供客户实时查看最新研究成果。
私募基金投研团队需要对现有预测模型进行持续优化,通过扩展技术指标特征、调整超参数来提升准确率,并使用T+1验证机制评估模型在实际交易中的表现。
金融科技公司需要将股票预测能力集成到现有产品中,通过预测流水线获取个股涨跌概率,并将结果以API或网页形式展示给终端用户,增强产品竞争力。
高校金融工程专业实验室使用该系统进行量化投资教学,学生可以学习从数据获取、特征工程到模型训练、评估的全流程,并通过网页仪表盘直观查看结果。
为金融机构提供云端股票预测SaaS服务,按月或按年收取订阅费用,客户可以通过网页仪表盘访问预测结果、分析报告和模型评估数据,支持多用户协作。
为大型券商、基金公司提供定制化部署服务,根据客户特定需求调整特征工程、模型参数和报告格式,提供本地化部署和技术支持,确保数据安全和系统稳定性。
将预测结果和评估数据通过API接口对外提供,金融科技公司、量化交易平台可以按调用次数或数据量付费接入,实时获取个股涨跌预测和板块分析数据。
💬 Integration Tip
注意区分内部实现与外部调用:训练、预测等核心功能使用本地脚本,板块和个股分析则直接调用外部技能,确保依赖关系清晰。
Scored Apr 19, 2026
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Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
财务分析 CLI 技能 - 财报分析、股票估值、风险评估
Automation skill for DELLIGHT Content & Marketing Operations.