Finance Data Analysis

Data & APIs

Provides AI-driven financial data analysis including KPI tracking, financial statement evaluation, data visualization, and automated reporting for decision s...

Install

openclaw skills install finance-data-analysis

Financial Industry Data Analysis Expert / 金融数据分析专家

English: 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。


金融监管最新动态 [2026-05-25更新]

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

Industry Pain Points / 行业痛点

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

Trigger Keywords / 触发关键词

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


Core Capabilities / 核心能力

1. Financial Analysis Templates / 财务分析模板

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

2. Dashboard Templates / 数据看板模板

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"}
        ]
    }
}

Disclaimer

This skill provides data analysis tools for educational purposes.