期末-全自动艺术评分系统-2

5.ipynb

@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b0c9ccef-ed78-460b-ada2-2ee70be45019",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "1\n",
+      "2\n",
+      "3\n",
+      "4\n"
+     ]
+    }
+   ],
+   "source": [
+    "def num_gen(n):\n",
+    "    for i in range(n):\n",
+    "        yield i\n",
+    "for num in num_gen(5):\n",
+    "    print(num)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "422c3d89-83e2-4f54-acaf-9f03bc938beb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Finnal/AutoArtRatingSystem.py

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+import tkinter as tk
+from tkinter import ttk, messagebox, scrolledtext
+import numpy as np
+from collections import defaultdict
+
+
+class AutoArtRatingSystem:
+    """全自动艺术评分系统核心逻辑"""
+
+    def __init__(self):
+        self.scores = {}  # {作品ID: [评分1, 评分2, ...]}
+        self.effective_scores = {}  # {作品ID: 有效得分}
+        self.ranked_works = []  # [(作品ID, 得分), ...] 按得分降序排列
+        self.judge_stats = {}  # {评委ID: {'平均打分':..., '得分范围':..., '离散程度':..., '异常评分':...}}
+
+    def auto_calculate(self):
+        """自动执行所有统计分析"""
+        if not self.scores:
+            return
+
+        # 1. 计算有效得分（自动去掉最高最低分）
+        self.effective_scores = {
+            pid: round(
+                sum(sorted(score_list)[1:-1]) / max(1, len(score_list) - 2),
+                2
+            )
+            for pid, score_list in self.scores.items()
+        }
+
+        # 2. 自动生成作品排名
+        self.ranked_works = sorted(
+            self.effective_scores.items(),
+            key=lambda x: x[1],
+            reverse=True
+        )
+
+        # 3. 自动分析评委打分
+        judge_scores = defaultdict(list)
+        for pid, score_list in self.scores.items():
+            for judge_idx, score in enumerate(score_list):
+                judge_id = f"评委{judge_idx + 1}"
+                judge_scores[judge_id].append(score)
+
+        self.judge_stats = {}
+        for judge_id, score_list in judge_scores.items():
+            avg = round(np.mean(score_list), 2)
+            score_range = f"{min(score_list)}-{max(score_list)}"
+            std_dev = round(np.std(score_list), 2)
+
+            # 自动识别异常评分（超出均值±1.5标准差）
+            threshold = 1.5 * std_dev
+            outliers = [
+                s for s in score_list
+                if not (avg - threshold <= s <= avg + threshold)
+            ]
+            self.judge_stats[judge_id] = {
+                '平均打分': avg,
+                '得分范围': score_range,
+                '离散程度': std_dev,
+                '异常评分': outliers if outliers else "无"
+            }
+
+    def get_report(self):
+        """获取完整统计报告"""
+        self.auto_calculate()
+        report = "=== 自动艺术评分统计报告 ===\n\n"
+
+        # 1. 有效得分详情
+        report += "【有效得分计算】\n"
+        for pid, score in self.effective_scores.items():
+            raw_scores = self.scores[pid]
+            report += f"作品 {pid}: 原始评分[{', '.join(map(str, raw_scores))}] "
+            report += f"→ 有效得分{score}\n"
+        report += "\n"
+
+        # 2. 作品排名
+        report += "【作品最终排名】\n"
+        for rank, (pid, score) in enumerate(self.ranked_works, 1):
+            report += f"第{rank}名: 作品{pid} ({score}分)\n"
+        report += "\n"
+
+        # 3. 评委分析
+        report += "【评委评分分析】\n"
+        for judge_id, stats in self.judge_stats.items():
+            report += f"{judge_id}:\n"
+            report += f" • 平均打分: {stats['平均打分']}\n"
+            report += f" • 得分范围: {stats['得分范围']}\n"
+            report += f" • 离散程度: {stats['离散程度']}\n"
+            outliers = stats['异常评分']
+            outliers_str = ', '.join(map(str, outliers)) if isinstance(outliers, list) else outliers
+            report += f" • 异常评分: {outliers_str}\n\n"
+        return report
+
+
+class AutoRatingApp:
+    """全自动艺术评分系统GUI界面"""
+
+    def __init__(self, root):
+        self.root = root
+        self.root.title("全自动艺术评分系统")
+        self.root.geometry("900x700")
+
+        self.rating_system = AutoArtRatingSystem()
+
+        # 输入区域
+        input_frame = ttk.LabelFrame(root, text="评分数据输入")
+        input_frame.pack(fill="x", padx=10, pady=5)
+
+        # 作品ID输入
+        ttk.Label(input_frame, text="作品ID:").grid(row=0, column=0, padx=5, sticky="e")
+        self.piece_id = tk.StringVar()
+        ttk.Entry(input_frame, textvariable=self.piece_id, width=10).grid(row=0, column=1, padx=5)
+
+        # 评委评分输入
+        ttk.Label(input_frame, text="评委评分(空格分隔):").grid(row=0, column=2, padx=5, sticky="e")
+        self.scores_input = tk.StringVar()
+        ttk.Entry(input_frame, textvariable=self.scores_input, width=40).grid(row=0, column=3, padx=5)
+
+        # 添加按钮
+        ttk.Button(input_frame, text="添加评分", command=self.add_score).grid(row=0, column=4, padx=10)
+
+        # 数据展示区
+        data_frame = ttk.LabelFrame(root, text="当前评分数据")
+        data_frame.pack(fill="both", expand=True, padx=10, pady=5)
+
+        # 数据表格
+        columns = ("作品ID", "评委评分", "有效得分")
+        self.tree = ttk.Treeview(data_frame, columns=columns, show="headings")
+        for col in columns:
+            self.tree.heading(col, text=col)
+            self.tree.column(col, width=150 if col == "评委评分" else 100)
+        self.tree.pack(fill="both", expand=True)
+
+        # 报告区域
+        report_frame = ttk.LabelFrame(root, text="自动统计报告")
+        report_frame.pack(fill="both", expand=True, padx=10, pady=5)
+
+        self.report_text = scrolledtext.ScrolledText(report_frame, wrap=tk.WORD, width=80, height=15)
+        self.report_text.pack(fill="both", expand=True)
+
+        # 底部按钮
+        btn_frame = tk.Frame(root)
+        btn_frame.pack(fill="x", padx=10, pady=5)
+
+        ttk.Button(btn_frame, text="清除所有数据", command=self.clear_data).pack(side="left", padx=5)
+        ttk.Button(btn_frame, text="刷新报告", command=self.update_report).pack(side="right", padx=5)
+
+    def validate_input(self):
+        """自动验证输入数据"""
+        piece_id = self.piece_id.get().strip()
+        score_str = self.scores_input.get().strip()
+
+        if not piece_id:
+            messagebox.showerror("错误", "作品ID不能为空")
+            return None
+        if piece_id in self.rating_system.scores:
+            messagebox.showerror("错误", f"作品 {piece_id} 已存在")
+            return None
+        try:
+            scores = list(map(float, score_str.split()))
+            if len(scores) < 3:
+                messagebox.showerror("错误", "至少需要3个评委评分")
+                return None
+            if any(s < 0 or s > 100 for s in scores):
+                messagebox.showerror("错误", "评分必须在0-100之间")
+                return None
+            return piece_id, scores
+        except ValueError:
+            messagebox.showerror("错误", "评分必须是数字，用空格分隔")
+            return None
+
+    def add_score(self):
+        """添加评分数据并自动更新统计"""
+        data = self.validate_input()
+        if not data:
+            return
+        piece_id, scores = data
+        self.rating_system.scores[piece_id] = scores
+
+        # 关键修复：添加数据后立即计算有效得分
+        self.rating_system.auto_calculate()
+
+        # 更新表格显示
+        effective_score = self.rating_system.effective_scores.get(piece_id, "计算中...")
+        self.tree.insert(
+            "", "end",
+            values=(
+                piece_id,
+                ", ".join(map(str, scores)),
+                effective_score
+            )
+        )
+
+        # 清空输入框
+        self.piece_id.set("")
+        self.scores_input.set("")
+
+        # 自动更新报告
+        self.update_report()
+
+    def update_report(self):
+        """自动更新统计报告"""
+        self.report_text.delete(1.0, tk.END)
+        self.report_text.insert(tk.END, self.rating_system.get_report())
+
+    def clear_data(self):
+        """清除所有数据并重置界面"""
+        self.rating_system = AutoArtRatingSystem()
+        self.tree.delete(*self.tree.get_children())
+        self.report_text.delete(1.0, tk.END)
+        messagebox.showinfo("提示", "所有数据已清除")
+
+
+if __name__ == "__main__":
+    root = tk.Tk()
+    app = AutoRatingApp(root)
+    root.mainloop()

Finnal/Note.md

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+## 全自动艺术评分系统 - AutoArtRatingSystem.py
+```shell
+pip install numpy pyinstaller
+pyinstaller -F --windowed --hidden-import=tkinter --hidden-import=numpy "AutoArtRatingSystem.py"
+```

Others/portfolio_analysis_20251205_190343/README.txt

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+# 投资组合分析结果
+
+## 分析概要
+- 分析资产: A股515450 + 美股QQQ
+- 分析期间: 2020-12-07 至 2025-12-05
+- 总交易日数: 1300
+- 生成时间: 2025-12-05 19:04:16
+
+## 目录结构
+portfolio_analysis_20251205_190343/
+├── tables/           # 各种分析表格（CSV格式）
+│   ├── stock_prices_detailed.csv      # 详细价格数据
+│   ├── stock_prices_summary.csv       # 价格汇总统计
+│   ├── daily_returns.csv              # 日收益率数据
+│   ├── returns_summary.csv            # 收益率汇总统计
+│   ├── monthly_returns.csv            # 月度收益率
+│   ├── yearly_returns.csv             # 年度收益率
+│   ├── portfolio_configuration.csv    # 投资组合配置
+│   ├── portfolio_performance.csv      # 绩效指标
+│   ├── drawdown_analysis.csv          # 回撤分析
+│   ├── correlation_matrix.csv         # 相关性矩阵
+│   ├── investment_recommendations.csv # 投资建议
+│   ├── investment_simulation_details.csv # 投资模拟详情
+│   ├── investment_simulation_summary.csv # 投资模拟汇总
+│   └── investment_asset_details.csv   # 各资产投资明细
+├── charts/           # 分析图表（PNG格式）
+│   ├── 01_price_trend.png             # 价格走势图
+│   ├── 02_cumulative_returns.png      # 累计收益图
+│   ├── 03_drawdown_analysis.png       # 回撤分析图
+│   ├── 04_returns_distribution.png    # 收益率分布图
+│   ├── 05_monthly_returns_heatmap.png # 月度收益率热力图
+│   ├── 06_yearly_returns.png          # 年度收益率图
+│   ├── 07_rolling_returns.png         # 滚动收益图
+│   ├── 08_investment_growth.png       # 资产增长曲线
+│   ├── 09_investment_returns.png      # 投资累计收益率
+│   └── 10_investment_progress.png     # 投资进度图
+└── data/             # 原始数据文件
+    ├── raw_prices.csv                 # 原始价格数据
+    ├── raw_returns.csv                # 原始收益率数据
+    ├── portfolio_performance.csv      # 投资组合表现数据
+    └── exchange_rate.csv              # 汇率数据
+
+## 使用说明
+1. 所有表格均为CSV格式，可用Excel、Python pandas等工具打开
+2. 所有图表均为PNG格式，分辨率为300dpi
+3. 原始数据可用于进一步分析
+4. 投资建议基于历史数据分析，仅供参考
+
+## 注意事项
+- 本分析基于历史数据，不代表未来表现
+- 投资有风险，决策需谨慎
+- 建议结合其他分析工具和个人风险偏好进行投资决策

Others/portfolio_analysis_20251205_190343/tables/correlation_matrix.csv

@@ -0,0 +1,3 @@
+,A股_515450,美股_QQQ
+A股_515450,1.0,-0.015097729726382599
+美股_QQQ,-0.015097729726382599,1.0

Others/portfolio_analysis_20251205_190343/tables/drawdown_analysis.csv

@@ -0,0 +1,19 @@
+开始日期,最低点日期,结束日期,持续天数,最大回撤%
+2021-10-12,2021-10-13,2021-10-14,2,-5.345319729377957
+2022-01-20,2022-01-27,2022-02-09,20,-9.890172360970094
+2022-02-11,2022-03-15,2022-04-04,52,-16.11938237996469
+2022-04-05,2022-11-03,2023-04-17,377,-25.996214468121533
+2023-04-21,2023-04-26,2023-04-27,6,-6.349619780758392
+2023-08-17,2023-08-18,2023-08-21,4,-5.431421795356658
+2023-08-24,2023-08-24,2023-08-25,1,-5.38036953552816
+2023-09-26,2023-09-27,2023-09-28,2,-5.173698977917544
+2023-10-03,2023-10-03,2023-10-04,1,-5.391574000626489
+2023-10-19,2023-10-26,2023-11-07,19,-8.274669075606301
+2024-07-25,2024-07-25,2024-07-29,4,-5.823125732178426
+2024-07-30,2024-07-30,2024-07-31,1,-6.038004905189959
+2024-08-01,2024-08-07,2024-08-15,14,-9.177082682498089
+2024-08-29,2024-08-29,2024-08-30,1,-5.14699471668637
+2024-09-03,2024-09-06,2024-09-19,16,-8.47766443723466
+2025-01-10,2025-01-13,2025-01-15,5,-5.731586886289918
+2025-02-27,2025-02-27,2025-02-28,1,-5.274571577202268
+2025-03-03,2025-04-08,2025-05-12,70,-14.868199658009631

Others/portfolio_analysis_20251205_190343/tables/investment_asset_details.csv

@@ -0,0 +1,3 @@
+资产名称,配置权重,投资金额(元),最终价值(元),资产收益(元),资产收益率(%)
+A股_515450,40.0%,28000.00,57301.41,29301.41,104.65
+美股_QQQ,60.0%,42000.00,95030.40,53030.40,126.26

Others/portfolio_analysis_20251205_190343/tables/investment_recommendations.csv

@@ -0,0 +1,5 @@
+投资建议
+优秀收益：年化收益率超过10%
+良好风险调整收益：夏普比率在0.5-1.0之间
+风险较高：最大回撤在20%-30%之间
+适中胜率：在45%-55%之间

Others/portfolio_analysis_20251205_190343/tables/investment_simulation_summary.csv

@@ -0,0 +1,14 @@
+指标,数值
+初始本金,10000.00 元
+每月定投金额,1000.00 元
+总投资金额,70000.00 元
+最终资产总值,125322.47 元
+总收益,55322.47 元
+总收益率,79.03%
+投资天数,1824 天
+投资年数,4.99 年
+年化收益率,12.37%
+投资起始日期,2020-12-07
+投资结束日期,2025-12-05
+投资组合增长倍数,2.2626
+现金投资笔数,61 笔

Others/portfolio_analysis_20251205_190343/tables/monthly_returns.csv

@@ -0,0 +1,62 @@
+Date,A股_515450,美股_QQQ,投资组合
+2020-12-31,-0.028169014084507782,0.022973589895306956,0.0026693478985437835
+2021-01-31,0.00869565217391366,0.002613753327755708,0.005693625453307538
+2021-02-28,0.0747126436781611,-0.0013350205719570019,0.030029907227626218
+2021-03-31,0.08556149732620377,0.01716781449690341,0.04571856226840154
+2021-04-30,-0.04556650246305416,0.059098060619892756,0.016463359041053893
+2021-05-31,0.030967741935483906,-0.012012049914711165,0.005597924430240875
+2021-06-30,0.007509386733416834,0.0626213395244759,0.04056115829593909
+2021-07-31,-0.08571428571428574,0.028609492999671637,-0.018262642764437786
+2021-08-31,0.08967391304347827,0.042186255617352675,0.061472866847305685
+2021-09-30,0.13341645885286813,-0.056831486175964896,0.016830042902364672
+2021-10-31,-0.08800880088008789,0.07863998550062123,0.0091393352597966
+2021-11-30,-0.02171290711700824,0.0199685601118047,0.0037356373049526326
+2021-12-31,0.11097410604192337,0.011523298274333849,0.05104079926020599
+2022-01-31,-0.029966703662596794,-0.08747018710844967,-0.06351492437321804
+2022-02-28,0.012585812356979309,-0.0447597692159013,-0.020602811236780427
+2022-03-31,-0.005649717514124464,0.046678897680205056,0.028156100919961125
+2022-04-30,-0.018181818181817966,-0.13595726521043972,-0.08856463998060837
+2022-05-31,-0.019675925925926152,-0.015865867382185317,-0.01582800860273237
+2022-06-30,0.024793388429751984,-0.08907895156557832,-0.043938777189685196
+2022-07-31,-0.04262672811059898,0.1255170257911764,0.05649193585372325
+2022-08-31,0.008423586040914532,-0.05132163276449053,-0.02692539831231533
+2022-09-30,-0.03699284009546555,-0.10535543521207635,-0.07747858146008224
+2022-10-31,-0.06443618339529122,0.03999832421446059,-0.0014108186457921779
+2022-11-30,0.15761589403973564,0.055441668000120625,0.09686401592467075
+2022-12-31,-0.024027459954233277,-0.0901367715013166,-0.0631988276137424
+2023-01-31,0.044548651817116314,0.10642963020965657,0.08182813987614135
+2023-02-28,0.03254769921436629,-0.003597867460767623,0.011462198731197581
+2023-03-31,0.06956521739130461,0.09492691400991671,0.08560861089471494
+2023-04-30,0.08434959349593507,0.005079201741815531,0.03674664709776554
+2023-05-31,-0.01874414245548317,0.07883798975827871,0.03946176919620026
+2023-06-30,0.02101241642788887,0.06303846324021167,0.046391842998301236
+2023-07-31,0.06080449017773626,0.03860102702700008,0.04764099057743998
+2023-08-31,-0.045855379188712075,-0.014830181157515554,-0.026855402737903655
+2023-09-30,0.021256931608132357,-0.05079865308908249,-0.02235664890776734
+2023-10-31,-0.0434389140271495,-0.020654499336953402,-0.02916860895718254
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Others/portfolio_analysis_20251205_190343/tables/portfolio_configuration.csv

@@ -0,0 +1,3 @@
+资产,权重%,"配置金额(假设¥10,000)",累计收益%,年化波动率%
+A股_515450,40.0,4000.0,104.6478873239447,18.182899641321402
+美股_QQQ,60.0,6000.0,109.03466068947787,22.271976902809236

Others/portfolio_analysis_20251205_190343/tables/portfolio_performance.csv

@@ -0,0 +1,15 @@
+指标类别,指标名称,数值
+时间信息,分析期间,2020-12-07 至 2025-12-05
+时间信息,总交易日数,1299 天
+时间信息,分析周期,4.99 年
+收益指标,累计收益率,118.29%
+收益指标,年化收益率,16.92%
+收益指标,日均收益率,0.0646%
+收益指标,正收益天数,705 天
+收益指标,胜率,54.3%
+风险指标,年化波动率,15.12%
+风险指标,最大回撤,-26.00%
+风险指标,年化下行风险,10.40%
+风险指标,日收益率标准差,0.9523%
+风险调整后收益,夏普比率,0.987
+风险调整后收益,索提诺比率,1.435

Others/portfolio_analysis_20251205_190343/tables/returns_summary.csv

@@ -0,0 +1,4 @@
+资产,日均收益率%,日收益率标准差%,单日最大收益%,单日最大亏损%,累计收益率%,正收益天数,总天数,胜率%
+A股_515450,0.06170392771528309,1.1454150134519516,7.131537242472263,-8.41121495327103,104.6478873239447,603,1299,46.4203233256351
+美股_QQQ,0.06659646500778976,1.4030026688239954,12.00308181135814,-6.210886967050778,109.03466068947787,690,1299,53.11778290993071
+投资组合,0.0646394500907871,0.9523130222588321,7.083066607230623,-3.7265321802304663,118.28638572226033,705,1299,54.27251732101617

Others/portfolio_analysis_20251205_190343/tables/stock_prices_summary.csv

@@ -0,0 +1,3 @@
+资产名称,起始价格,结束价格,总收益率%,年化收益率%,最高价格,最低价格,平均价格,价格标准差,数据点数,起始日期,结束日期
+A股_515450,0.71,1.453,104.64788732394368,15.419232450949071,1.49,0.672,1.0504576923076923,0.23247297006631246,1300,2020-12-07,2025-12-05
+美股_QQQ,298.00799560546875,622.9400024414062,109.03466068947805,15.910468706517111,635.77001953125,255.5943145751953,395.3660239703839,95.85359595479295,1300,2020-12-07,2025-12-05

Others/portfolio_analysis_20251205_190343/tables/yearly_returns.csv

@@ -0,0 +1,7 @@
+Date,A股_515450,美股_QQQ,投资组合
+2020-12-31,-0.028169014084507782,0.022973589895306956,0.0026693478985437835
+2021-12-31,0.3057971014492762,0.2741976397937589,0.299740624879248
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+2025-12-31,0.0430725053840626,0.2231161881697863,0.15695573826719333

Others/portfolio_analysis_20251205_190933/README.txt

@@ -0,0 +1,52 @@
+# 投资组合分析结果
+
+## 分析概要
+- 分析资产: A股515450 + 美股QLD
+- 分析期间: 2020-12-07 至 2025-12-05
+- 总交易日数: 1300
+- 生成时间: 2025-12-05 19:10:15
+
+## 目录结构
+portfolio_analysis_20251205_190933/
+├── tables/           # 各种分析表格（CSV格式）
+│   ├── stock_prices_detailed.csv      # 详细价格数据
+│   ├── stock_prices_summary.csv       # 价格汇总统计
+│   ├── daily_returns.csv              # 日收益率数据
+│   ├── returns_summary.csv            # 收益率汇总统计
+│   ├── monthly_returns.csv            # 月度收益率
+│   ├── yearly_returns.csv             # 年度收益率
+│   ├── portfolio_configuration.csv    # 投资组合配置
+│   ├── portfolio_performance.csv      # 绩效指标
+│   ├── drawdown_analysis.csv          # 回撤分析
+│   ├── correlation_matrix.csv         # 相关性矩阵
+│   ├── investment_recommendations.csv # 投资建议
+│   ├── investment_simulation_details.csv # 投资模拟详情
+│   ├── investment_simulation_summary.csv # 投资模拟汇总
+│   └── investment_asset_details.csv   # 各资产投资明细
+├── charts/           # 分析图表（PNG格式）
+│   ├── 01_price_trend.png             # 价格走势图
+│   ├── 02_cumulative_returns.png      # 累计收益图
+│   ├── 03_drawdown_analysis.png       # 回撤分析图
+│   ├── 04_returns_distribution.png    # 收益率分布图
+│   ├── 05_monthly_returns_heatmap.png # 月度收益率热力图
+│   ├── 06_yearly_returns.png          # 年度收益率图
+│   ├── 07_rolling_returns.png         # 滚动收益图
+│   ├── 08_investment_growth.png       # 资产增长曲线
+│   ├── 09_investment_returns.png      # 投资累计收益率
+│   └── 10_investment_progress.png     # 投资进度图
+└── data/             # 原始数据文件
+    ├── raw_prices.csv                 # 原始价格数据
+    ├── raw_returns.csv                # 原始收益率数据
+    ├── portfolio_performance.csv      # 投资组合表现数据
+    └── exchange_rate.csv              # 汇率数据
+
+## 使用说明
+1. 所有表格均为CSV格式，可用Excel、Python pandas等工具打开
+2. 所有图表均为PNG格式，分辨率为300dpi
+3. 原始数据可用于进一步分析
+4. 投资建议基于历史数据分析，仅供参考
+
+## 注意事项
+- 本分析基于历史数据，不代表未来表现
+- 投资有风险，决策需谨慎
+- 建议结合其他分析工具和个人风险偏好进行投资决策

Others/portfolio_analysis_20251205_190933/tables/correlation_matrix.csv

@@ -0,0 +1,3 @@
+,A股_515450,美股_QLD
+A股_515450,1.0,-0.014654686942570994
+美股_QLD,-0.014654686942570994,1.0

Others/portfolio_analysis_20251205_190933/tables/drawdown_analysis.csv

@@ -0,0 +1,31 @@
+开始日期,最低点日期,结束日期,持续天数,最大回撤%
+2021-01-29,2021-01-29,2021-02-01,3,-6.336814231417308
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Others/portfolio_analysis_20251205_190933/tables/investment_asset_details.csv

@@ -0,0 +1,3 @@
+资产名称,配置权重,投资金额(元),最终价值(元),资产收益(元),资产收益率(%)
+A股_515450,40.0%,28000.00,57301.41,29301.41,104.65
+美股_QLD,60.0%,42000.00,121068.72,79068.72,188.26

Others/portfolio_analysis_20251205_190933/tables/investment_recommendations.csv

@@ -0,0 +1,5 @@
+投资建议
+优秀收益：年化收益率超过10%
+良好风险调整收益：夏普比率在0.5-1.0之间
+风险很高：最大回撤超过30%
+适中胜率：在45%-55%之间

Others/portfolio_analysis_20251205_190933/tables/investment_simulation_summary.csv

@@ -0,0 +1,14 @@
+指标,数值
+初始本金,10000.00 元
+每月定投金额,1000.00 元
+总投资金额,70000.00 元
+最终资产总值,160627.06 元
+总收益,90627.06 元
+总收益率,129.47%
+投资天数,1824 天
+投资年数,4.99 年
+年化收益率,18.10%
+投资起始日期,2020-12-07
+投资结束日期,2025-12-05
+投资组合增长倍数,2.8826
+现金投资笔数,61 笔

Others/portfolio_analysis_20251205_190933/tables/monthly_returns.csv

@@ -0,0 +1,62 @@
+Date,A股_515450,美股_QLD,投资组合
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Others/portfolio_analysis_20251205_190933/tables/portfolio_configuration.csv

@@ -0,0 +1,3 @@
+资产,权重%,"配置金额(假设¥10,000)",累计收益%,年化波动率%
+A股_515450,40.0,4000.0,104.6478873239447,18.182899641321402
+美股_QLD,60.0,6000.0,166.3101204053575,44.53233309483803

Others/portfolio_analysis_20251205_190933/tables/portfolio_performance.csv

@@ -0,0 +1,15 @@
+指标类别,指标名称,数值
+时间信息,分析期间,2020-12-07 至 2025-12-05
+时间信息,总交易日数,1299 天
+时间信息,分析周期,4.99 年
+收益指标,累计收益率,176.89%
+收益指标,年化收益率,22.62%
+收益指标,日均收益率,0.0935%
+收益指标,正收益天数,699 天
+收益指标,胜率,53.8%
+风险指标,年化波动率,27.59%
+风险指标,最大回撤,-44.99%
+风险指标,年化下行风险,19.43%
+风险指标,日收益率标准差,1.7379%
+风险调整后收益,夏普比率,0.748
+风险调整后收益,索提诺比率,1.061

Others/portfolio_analysis_20251205_190933/tables/returns_summary.csv

@@ -0,0 +1,4 @@
+资产,日均收益率%,日收益率标准差%,单日最大收益%,单日最大亏损%,累计收益率%,正收益天数,总天数,胜率%
+A股_515450,0.06170392771528309,1.1454150134519516,7.131537242472263,-8.41121495327103,104.6478873239447,603,1299,46.4203233256351
+美股_QLD,0.11469872180478634,2.8052733016769706,23.4929328172222,-12.212730032427366,166.3101204053575,686,1299,52.80985373364126
+投资组合,0.09350080416898503,1.7379167439877563,13.976977210749059,-7.327638019456419,176.8948938144213,699,1299,53.81062355658198

Others/portfolio_analysis_20251205_190933/tables/stock_prices_summary.csv

@@ -0,0 +1,3 @@
+资产名称,起始价格,结束价格,总收益率%,年化收益率%,最高价格,最低价格,平均价格,价格标准差,数据点数,起始日期,结束日期
+A股_515450,0.71,1.453,104.64788732394368,15.419232450949071,1.49,0.672,1.0504576923076923,0.23247297006631246,1300,2020-12-07,2025-12-05
+美股_QLD,27.26896095275879,72.62000274658203,166.31012040535816,21.669712491977087,76.38500213623047,16.587970733642578,38.406993022331825,13.585959300291872,1300,2020-12-07,2025-12-05

Others/portfolio_analysis_20251205_190933/tables/yearly_returns.csv

@@ -0,0 +1,7 @@
+Date,A股_515450,美股_QLD,投资组合
+2020-12-31,-0.028169014084507782,0.04360832351935784,0.015108043137775917
+2021-12-31,0.3057971014492762,0.5466943981092007,0.47861179916538865
+2022-12-31,-0.053274139844617485,-0.6052240874315733,-0.4069057572571425
+2023-12-31,0.20750293083235638,1.17721584291309,0.7490826433156279
+2024-12-31,0.3524271844660216,0.4281466388088715,0.42565476395896606
+2025-12-31,0.0430725053840626,0.34406629359925156,0.24738380876972688