Install
openclaw skills install finance-data-analysisProvides AI-driven financial data analysis including KPI tracking, financial statement evaluation, data visualization, and automated reporting for decision s...
openclaw skills install finance-data-analysisEnglish: AI-powered financial data analysis — covers financial statements, KPIs, visualization, and automated reporting.
中文: 金融数据分析——覆盖财务报表、KPI、可视化、自动化报告。
| 动态类型 | 内容摘要 | 影响范围 |
|---|---|---|
| 金融监管 | 2026年Q1:金融数据合规要求提升 | 数据分析框架需纳入合规和信披新标准 |
| 金融监管 | 理财信息披露'三清'推进,数据分析需关注新标准 | 数据分析框架需纳入合规和信披新标准 |
| 金融监管 | 反洗钱数据监控要求加强 | 数据分析框架需纳入合规和信披新标准 |
数据截止: 2026-05-25 | 来源:证监会、NFRA、中证协、安永Q1分析 声明: 以上动态供参考,具体以官方最新发布为准
| Pain Point / 痛点 | Impact / 影响 | Solution / 本Skill解决方案 |
|---|---|---|
| 数据分散 | 数据源多,整合耗时 | 统一数据模型 |
| 手工报表多 | 月报/季报重复劳动 | 自动报告生成 |
| 分析浅 | 只看表面数字 | 深度归因分析 |
| 可视化差 | 图表不直观 | 专业可视化模板 |
English Triggers: financial data analysis, KPI dashboard, data visualization, financial reporting, Python analysis
中文触发词(优先): 数据分析 / 财务分析 / KPI追踪 / 数据可视化 / 自动化报告 / Python分析 / SQL查询 / 数据看板 / 经营分析 / 业绩分析 / 同比环比
class FinancialAnalyzer:
"""财务分析引擎"""
def income_statement_analysis(self, data: dict) -> dict:
"""损益表分析"""
return {
"收入趋势": self._trend_analysis(data["revenue"]),
"毛利率分析": self._gross_margin_analysis(data),
"费用结构": self._expense_breakdown(data),
"利润质量": self._profit_quality_analysis(data)
}
def ratio_analysis(self, financial_data: dict) -> dict:
"""比率分析"""
ratios = {
"盈利能力": {
"毛利率": data["gross_profit"] / data["revenue"],
"净利率": data["net_profit"] / data["revenue"],
"ROE": data["net_profit"] / data["equity"]
},
"运营效率": {
"存货周转": data["cogs"] / data["inventory"],
"应收账款周转": data["revenue"] / data["ar"]
},
"偿债能力": {
"流动比率": data["current_assets"] / data["current_liabilities"],
"资产负债率": data["total_liabilities"] / data["total_assets"]
}
}
return ratios
DASHBOARD_TEMPLATES = {
"CFO驾驶舱": {
"widgets": [
{"type": "kpi_card", "metrics": ["营收", "利润", "ROE"]},
{"type": "line_chart", "data": "收入趋势"},
{"type": "bar_chart", "data": "各业务线收入"},
{"type": "waterfall", "data": "利润变动归因"},
{"type": "gauge", "data": "KPI完成率"}
]
},
"业务分析看板": {
"widgets": [
{"type": "funnel", "data": "转化漏斗"},
{"type": "heat_map", "data": "客户活跃度"},
{"type": "pie_chart", "data": "客户分布"},
{"type": "trend", "data": "关键指标趋势"}
]
}
}
This skill provides data analysis tools for educational purposes.