v1.1.0: 北向资金/5日趋势/关键词增强/本地快照

scripts/analyzer.py

@@ -1,504 +1,186 @@
-#!/usr/bin/env python3
-"""
-A股微博热搜分析 v1.0
-- 微博热搜抓取 + A股关键词筛选
-- A股行情数据（大盘/涨停/跌停/板块）
-- 热搜 vs 行情关联分析
-"""
-
-import json
-import sys
-import os
-import urllib.request
-import urllib.error
-from datetime import datetime
-
-# ============================================================
-# 参数解析
-# ============================================================
-JSON_MODE = "--json" in sys.argv
-BRIEF_MODE = "--brief" in sys.argv
-NO_WEIBO = "--no-weibo" in sys.argv
-NO_MARKET = "--no-market" in sys.argv
-
-# ============================================================
-# 1. 微博热搜抓取
-# ============================================================
-def fetch_weibo_hot(retries=2):
-    """获取微博实时热搜（带重试）"""
-    url = "https://weibo.com/ajax/side/hotSearch"
-    headers = {
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
-        "Accept": "application/json, text/plain, */*",
-        "Referer": "https://weibo.com",
-        "X-Requested-With": "XMLHttpRequest",
-    }
-    
-    for attempt in range(retries + 1):
-        try:
-            req = urllib.request.Request(url, headers=headers)
-            with urllib.request.urlopen(req, timeout=10) as resp:
-                data = json.loads(resp.read().decode("utf-8"))
-                
-            hot_list = data.get("data", {}).get("realtime", [])
-            results = []
-            for item in hot_list[:50]:
-                results.append({
-                    "rank": item.get("rank", 0),
-                    "keyword": item.get("word", ""),
-                    "hot": item.get("num", 0),
-                    "category": item.get("category", ""),
-                    "label": item.get("label_name", ""),
-                    "icon_desc": item.get("icon_desc", ""),
-                })
-            return results
-        except Exception as e:
-            if attempt < retries:
-                import time
-                time.sleep(1)
-                continue
-            log(f"⚠️  微博热搜获取失败: {e}")
-            return []
-
-
-def filter_stock_keywords(hot_list):
-    """筛选A股相关关键词"""
-    # 精确匹配关键词
-    exact_keywords = [
-        "A股", "大A", "股市", "股票", "涨停", "跌停", "牛市", "熊市",
-        "基金", "证券", "券商", "上证", "深证", "创业板", "科创板",
-        "涨停板", "跌停板", "打板", "龙头", "妖股",
-        "利好", "利空", "暴跌", "暴涨", "反弹", "回调",
-        "北向资金", "主力", "游资", "散户",
-    ]
-    
-    # 模糊匹配关键词
-    fuzzy_chars = ["股", "涨", "跌", "板", "牛市", "熊市", "基金", "证券", "金融"]
-    
-    stock_related = []
-    for item in hot_list:
-        keyword = item["keyword"]
-        
-        # 精确匹配
-        matched = False
-        for kw in exact_keywords:
-            if kw in keyword:
-                item["match_reason"] = f"包含「{kw}」"
-                stock_related.append(item)
-                matched = True
-                break
-        
-        # 模糊匹配
-        if not matched:
-            for ch in fuzzy_chars:
-                if ch in keyword and len(keyword) <= 15:
-                    item["match_reason"] = "模糊匹配"
-                    stock_related.append(item)
-                    break
-    
-    return stock_related
-
-
-# ============================================================
-# 2. A股行情数据 (AKShare)
-# ============================================================
-def fetch_market_overview():
-    """获取大盘指数"""
-    try:
-        import akshare as ak
-        import warnings
-        warnings.filterwarnings("ignore")
-        
-        indices = [
-            ("sh000001", "上证指数"),
-            ("sz399001", "深证成指"),
-            ("sz399006", "创业板指"),
-        ]
-        
-        results = []
-        for symbol, name in indices:
-            try:
-                df = ak.stock_zh_index_daily(symbol=symbol)
-                if df is not None and len(df) >= 2:
-                    last = df.iloc[-1]
-                    prev = df.iloc[-2]
-                    close = float(last["close"])
-                    prev_close = float(prev["close"])
-                    change_pct = (close - prev_close) / prev_close * 100
-                    results.append({
-                        "name": name,
-                        "close": round(close, 2),
-                        "change_pct": round(change_pct, 2),
-                    })
-            except Exception:
-                continue
-        
-        return results
-    except Exception as e:
-        log(f"⚠️  大盘数据获取失败: {e}")
-        return []
-
-
-def fetch_zt_dt():
-    """获取涨停/跌停数据"""
-    today = datetime.now().strftime("%Y%m%d")
-    result = {"涨停": [], "跌停": []}
-    
-    try:
-        import akshare as ak
-        import warnings
-        warnings.filterwarnings("ignore")
-        
-        # 涨停板
-        try:
-            zt_df = ak.stock_zt_pool_em(date=today)
-            if zt_df is not None and not zt_df.empty:
-                for _, row in zt_df.head(15).iterrows():
-                    result["涨停"].append({
-                        "code": str(row.get("代码", "")),
-                        "name": str(row.get("名称", "")),
-                        "change_pct": float(row.get("涨跌幅", 0)),
-                        "reason": str(row.get("涨停原因", "")),
-                        "turnover": str(row.get("换手率", "")),
-                    })
-        except Exception:
-            pass
-        
-        # 跌停板
-        try:
-            dt_df = ak.stock_zt_pool_dtgc_em(date=today)
-            if dt_df is not None and not dt_df.empty:
-                for _, row in dt_df.head(15).iterrows():
-                    result["跌停"].append({
-                        "code": str(row.get("代码", "")),
-                        "name": str(row.get("名称", "")),
-                        "change_pct": float(row.get("涨跌幅", 0)),
-                    })
-        except Exception:
-            pass
-        
-    except Exception as e:
-        log(f"⚠️  涨停/跌停数据获取失败: {e}")
-    
-    return result
-
-
-def fetch_hot_sectors():
-    """获取热门板块"""
-    try:
-        import akshare as ak
-        import warnings
-        warnings.filterwarnings("ignore")
-        
-        df = ak.stock_board_industry_name_em()
-        if df is not None and not df.empty:
-            sectors = []
-            for _, row in df.head(15).iterrows():
-                sectors.append({
-                    "name": str(row.get("板块名称", "")),
-                    "change_pct": float(row.get("涨跌幅", 0)),
-                    "leader": str(row.get("领涨股票", "")),
-                    "leader_change": float(row.get("领涨股票-涨跌幅", 0)) if "领涨股票-涨跌幅" in row else 0,
-                    "up_count": int(row.get("上涨家数", 0)) if "上涨家数" in row else 0,
-                    "down_count": int(row.get("下跌家数", 0)) if "下跌家数" in row else 0,
-                })
-            return sectors
-        return []
-    except Exception as e:
-        log(f"⚠️  板块数据获取失败: {e}")
-        return []
-
-
-def fetch_top_stocks():
-    """获取涨幅/跌幅前10"""
-    try:
-        import akshare as ak
-        import warnings
-        warnings.filterwarnings("ignore")
-        
-        df = ak.stock_zh_a_spot_em()
-        if df is not None and not df.empty:
-            # 涨幅前10
-            top_up = df.nlargest(10, "涨跌幅")[["代码", "名称", "涨跌幅", "最新价", "成交额"]].to_dict("records")
-            # 跌幅前10
-            top_down = df.nsmallest(10, "涨跌幅")[["代码", "名称", "涨跌幅", "最新价", "成交额"]].to_dict("records")
-            # 成交额前10
-            top_volume = df.nlargest(10, "成交额")[["代码", "名称", "涨跌幅", "最新价", "成交额"]].to_dict("records")
-            
-            return {
-                "涨幅榜": [{"code": str(r["代码"]), "name": str(r["名称"]), "change_pct": float(r["涨跌幅"]), "price": float(r["最新价"]) if r["最新价"] else 0, "volume": float(r["成交额"]) if r["成交额"] else 0} for r in top_up],
-                "跌幅榜": [{"code": str(r["代码"]), "name": str(r["名称"]), "change_pct": float(r["涨跌幅"]), "price": float(r["最新价"]) if r["最新价"] else 0, "volume": float(r["成交额"]) if r["成交额"] else 0} for r in top_down],
-                "成交榜": [{"code": str(r["代码"]), "name": str(r["名称"]), "change_pct": float(r["涨跌幅"]), "price": float(r["最新价"]) if r["最新价"] else 0, "volume": float(r["成交额"]) if r["成交额"] else 0} for r in top_volume],
-            }
-        return {}
-    except Exception as e:
-        log(f"⚠️  个股排行获取失败: {e}")
-        return {}
-
-
-# ============================================================
-# 3. 关联分析
-# ============================================================
-def analyze_correlation(stock_hot, zt_dt, sectors):
-    """分析热搜与行情的关联"""
-    analysis = {
-        "hot_stock_mentions": [],
-        "hot_and_zt": [],
-        "hot_sectors": [],
-        "insights": [],
-    }
-    
-    # 提取热搜中的个股名
-    stock_names = []
-    for item in stock_hot:
-        keyword = item["keyword"]
-        # 去掉 # 号和通用词
-        clean = keyword.replace("#", "")
-        if 2 <= len(clean) <= 8:
-            stock_names.append(clean)
-    
-    analysis["hot_stock_mentions"] = stock_names[:10]
-    
-    # 与涨停板交叉
-    zt_names = [item["name"] for item in zt_dt.get("涨停", [])]
-    zt_reasons = {item["name"]: item.get("reason", "") for item in zt_dt.get("涨停", [])}
-    mentioned_and_zt = [name for name in stock_names if name in zt_names]
-    
-    if mentioned_and_zt:
-        analysis["hot_and_zt"] = mentioned_and_zt
-        analysis["insights"].append(
-            f"🔥 同时出现在微博热搜和涨停板: {', '.join(mentioned_and_zt)}"
-        )
-    
-    # 热搜板块
-    sector_keywords = []
-    for item in stock_hot:
-        kw = item["keyword"]
-        if any(w in kw for w in ["板块", "概念", "题材"]):
-            sector_keywords.append(kw)
-    
-    if sector_keywords:
-        analysis["hot_sectors"] = sector_keywords
-        analysis["insights"].append(
-            f"📊 热搜板块关键词: {', '.join(sector_keywords[:5])}"
-        )
-    
-    # 涨停原因分析
-    if zt_dt.get("涨停"):
-        reasons = {}
-        for item in zt_dt["涨停"]:
-            reason = item.get("reason", "").strip()
-            if reason:
-                reasons[reason] = reasons.get(reason, 0) + 1
-        if reasons:
-            top_reasons = sorted(reasons.items(), key=lambda x: -x[1])[:3]
-            for reason, count in top_reasons:
-                analysis["insights"].append(f"📈 涨停原因「{reason}」: {count} 只")
-    
-    return analysis
-
-
-# ============================================================
-# 4. 报告生成
-# ============================================================
-def format_hot(num):
-    """格式化热度数字"""
-    if num >= 1000000:
-        return f"{num/10000:.0f}万"
-    elif num >= 10000:
-        return f"{num/10000:.1f}万"
-    return str(num)
-
-
-def log(msg):
-    """日志输出"""
-    if not JSON_MODE:
-        print(msg, file=sys.stderr)
-
-
-def generate_report(data):
-    """生成完整报告"""
-    now = datetime.now().strftime("%Y-%m-%d %H:%M")
-    
-    lines = []
-    lines.append(f"📊 A股微博热搜分析报告")
-    lines.append(f"⏰ {now}")
-    lines.append("=" * 50)
-    
-    # 大盘
-    market = data.get("market", [])
-    lines.append("")
-    lines.append("📈 【大盘概览】")
-    lines.append("-" * 40)
-    if market:
-        for m in market:
-            arrow = "🔴" if m["change_pct"] < 0 else "🟢"
-            lines.append(f"  {arrow} {m['name']}: {m['close']} ({m['change_pct']:+.2f}%)")
-    else:
-        lines.append("  数据获取中...")
-    
-    # 微博热搜
-    stock_hot = data.get("stock_hot", [])
-    lines.append("")
-    lines.append(f"🔥 【微博A股热搜】 ({len(stock_hot)} 条)")
-    lines.append("-" * 40)
-    if stock_hot:
-        for item in stock_hot[:15]:
-            lines.append(f"  #{item['keyword']}#  🔥{format_hot(item['hot'])}  ({item['match_reason']})")
-    else:
-        lines.append("  暂无A股相关热搜")
-    
-    if BRIEF_MODE:
-        # 精简模式只显示涨停
-        lines.append("")
-        lines.append("🟢 【涨停板】")
-        lines.append("-" * 40)
-        zt = data.get("zt_dt", {}).get("涨停", [])
-        for item in zt[:10]:
-            lines.append(f"  {item['name']}({item['code']}) +{item['change_pct']:.1f}%  {item.get('reason', '')}")
-        
-        lines.append("")
-        lines.append("=" * 50)
-        lines.append("📌 数据来源: 微博热搜 + AKShare")
-        return "\n".join(lines)
-    
-    # 涨停
-    zt = data.get("zt_dt", {}).get("涨停", [])
-    lines.append("")
-    lines.append(f"🟢 【涨停板 TOP{min(15, len(zt))}】")
-    lines.append("-" * 40)
-    if zt:
-        for item in zt[:15]:
-            lines.append(f"  {item['name']}({item['code']}) +{item['change_pct']:.1f}%  {item.get('reason', '')}")
-    else:
-        lines.append("  无涨停或数据获取中...")
-    
-    # 跌停
-    dt = data.get("zt_dt", {}).get("跌停", [])
-    lines.append("")
-    lines.append(f"🔴 【跌停板 TOP{min(15, len(dt))}】")
-    lines.append("-" * 40)
-    if dt:
-        for item in dt[:15]:
-            lines.append(f"  {item['name']}({item['code']}) {item['change_pct']:.1f}%")
-    else:
-        lines.append("  无跌停或数据获取中...")
-    
-    # 热门板块
-    sectors = data.get("sectors", [])
-    lines.append("")
-    lines.append(f"📊 【热门板块 TOP{min(10, len(sectors))}】")
-    lines.append("-" * 40)
-    if sectors:
-        for item in sectors[:10]:
-            arrow = "🔴" if item["change_pct"] < 0 else "🟢"
-            lines.append(f"  {arrow} {item['name']}: {item['change_pct']:+.2f}%  领涨: {item['leader']}")
-    else:
-        lines.append("  数据获取中...")
-    
-    # 个股排行
-    stocks = data.get("stocks", {})
-    if stocks.get("涨幅榜"):
-        lines.append("")
-        lines.append("📈 【今日涨幅榜 TOP5】")
-        lines.append("-" * 40)
-        for item in stocks["涨幅榜"][:5]:
-            lines.append(f"  🟢 {item['name']}({item['code']}) +{item['change_pct']:.1f}%  ¥{item['price']}")
-    
-    if stocks.get("成交榜"):
-        lines.append("")
-        lines.append("💰 【今日成交额 TOP5】")
-        lines.append("-" * 40)
-        for item in stocks["成交榜"][:5]:
-            vol_str = f"{item['volume']/100000000:.1f}亿" if item['volume'] >= 100000000 else f"{item['volume']/10000:.0f}万"
-            lines.append(f"  💰 {item['name']}({item['code']}) {vol_str}  {item['change_pct']:+.1f}%")
-    
-    # 关联分析
-    corr = data.get("correlation", {})
-    lines.append("")
-    lines.append("🔗 【热搜 vs 行情 关联分析】")
-    lines.append("-" * 40)
-    
-    if corr.get("hot_stock_mentions"):
-        lines.append(f"  💬 热搜提及个股: {', '.join(corr['hot_stock_mentions'][:5])}")
-    
-    if corr.get("hot_and_zt"):
-        lines.append(f"  🔥 热搜+涨停双重热度: {', '.join(corr['hot_and_zt'])}")
-    
-    if corr.get("hot_sectors"):
-        lines.append(f"  📊 热搜板块: {', '.join(corr['hot_sectors'][:3])}")
-    
-    if corr.get("insights"):
-        for note in corr["insights"]:
-            lines.append(f"  {note}")
-    
-    if not corr.get("insights") and not corr.get("hot_stock_mentions"):
-        lines.append("  暂无明显关联")
-    
-    lines.append("")
-    lines.append("=" * 50)
-    lines.append("📌 数据来源: 微博热搜 + AKShare (东方财富)")
-    lines.append("⚠️ 仅供参考，不构成投资建议")
-    
-    return "\n".join(lines)
-
-
-# ============================================================
-# Main
-# ============================================================
-def main():
-    log("🔍 正在抓取数据...\n")
-    
-    data = {}
-    
-    # 1. 微博热搜
-    if not NO_WEIBO:
-        log("  📱 微博热搜...")
-        hot_list = fetch_weibo_hot()
-        data["weibo_hot_total"] = len(hot_list)
-        data["stock_hot"] = filter_stock_keywords(hot_list)
-    else:
-        data["stock_hot"] = []
-    
-    # 2. 大盘指数
-    if not NO_MARKET:
-        log("  📈 大盘指数...")
-        data["market"] = fetch_market_overview()
-    else:
-        data["market"] = []
-    
-    # 3. 涨停/跌停
-    if not NO_MARKET:
-        log("  🟢 涨停/跌停...")
-        data["zt_dt"] = fetch_zt_dt()
-    else:
-        data["zt_dt"] = {"涨停": [], "跌停": []}
-    
-    # 4. 热门板块
-    if not NO_MARKET and not BRIEF_MODE:
-        log("  📊 热门板块...")
-        data["sectors"] = fetch_hot_sectors()
-    else:
-        data["sectors"] = []
-    
-    # 5. 个股排行
-    if not NO_MARKET and not BRIEF_MODE:
-        log("  📈 个股排行...")
-        data["stocks"] = fetch_top_stocks()
-    else:
-        data["stocks"] = {}
-    
-    # 6. 关联分析
-    log("  🔗 关联分析...")
-    data["correlation"] = analyze_correlation(data["stock_hot"], data["zt_dt"], data["sectors"])
-    
-    # 7. 输出
-    if JSON_MODE:
-        data["timestamp"] = datetime.now().isoformat()
-        print(json.dumps(data, ensure_ascii=False, indent=2))
-    else:
-        print(generate_report(data))
-
-
-if __name__ == "__main__":
-    main()
+---
+name: CNY RMB A股 China A shares Stock
+version: 1.1.0
+description: >
+  CNY RMB A股热搜分析 - China A Shares Stock Skill
+  微博热搜 + A股行情 + 关联分析，一站式掌握市场热点。
+  关键词：A股, 大A, A-shares, China A, Onshore, 涨停, 跌停, 热搜
+applyTo: "**"
+---
+
+# CNY RMB A股热搜分析
+# China A Shares Stock Skill
+
+微博热搜 + A股行情 + 关联分析，一站式掌握市场热点。
+
+> **关于作者** — 米粉，A股老韭菜，美股老韭菜，期货老韭菜，币圈老韭菜，被割多了，现在只看不玩，用MIMO做个Skill大家娱乐围观A股行情，好用记得回来点星星。⭐
+>
+> Mi Fan 🍚 | Rekt veteran: A-shares, US stocks, futures, crypto 📉 | Now just watching 👀 | Built with MIMO for fun | Star if you like it ⭐
+>
+> **功能清单：**
+> - ✅ 微博实时热搜抓取 + A股关键词筛选（v1.1 增强）
+> - ✅ 大盘指数（上证/深证/创业板）
+> - ✅ 涨停板 / 跌停板 TOP 列表
+> - ✅ 热门板块排行
+> - ✅ 热搜 vs 行情关联分析
+> - ✅ 🆕 北向资金实时数据（沪股通/深股通）
+> - ✅ 🆕 大盘5日趋势 + 迷你趋势图
+> - ✅ 🆕 行业/板块关键词库增强（50+板块）
+> - ✅ 🆕 本地快照缓存 + 历史数据对比
+> - ✅ `--json` 结构化输出
+> - ✅ `--brief` 精简模式（仅热搜 + 涨停）
+> - ✅ `--trend` 趋势模式（含大盘5日走势）
+
+## When to Use
+
+| Situation | Use this skill? |
+|---|---|
+| 用户说"A股分析" / "股市热搜" / "今天行情" | ✅ Yes |
+| 用户问"今天有什么热门股票" | ✅ Yes |
+| 用户想看微博上大家在讨论什么股票 | ✅ Yes |
+| 盘后复盘 / 盘中监控 | ✅ Yes |
+| 用户问"北向资金今天流入多少" | ✅ Yes |
+| 用户问"大盘最近走势怎么样" | ✅ Yes |
+
+## Usage
+
+```bash
+python3 "{baseDir}/scripts/analyzer.py" [options]
+```
+
+### Options
+
+| Flag | Description |
+|------|-------------|
+| `--json` | JSON 格式输出 |
+| `--brief` | 精简模式：仅热搜 + 涨停 |
+| `--trend` | 趋势模式：含大盘5日走势 |
+| `--no-weibo` | 跳过微博数据（只看行情） |
+| `--no-market` | 跳过行情数据（只看热搜） |
+
+### Examples
+
+```bash
+# 完整分析
+python3 "{baseDir}/scripts/analyzer.py"
+
+# 精简模式
+python3 "{baseDir}/scripts/analyzer.py" --brief
+
+# 趋势模式（含大盘5日走势）
+python3 "{baseDir}/scripts/analyzer.py" --trend
+
+# JSON 输出
+python3 "{baseDir}/scripts/analyzer.py" --json
+
+# 只看行情
+python3 "{baseDir}/scripts/analyzer.py" --no-weibo
+
+# 只看热搜
+python3 "{baseDir}/scripts/analyzer.py" --no-market
+
+# 趋势 + 精简
+python3 "{baseDir}/scripts/analyzer.py" --trend --brief
+```
+
+## v1.1 新增内容
+
+### 🌊 北向资金
+- 沪股通/深股通净买入数据
+- 实时净流入/流出金额
+- 自动格式化为亿/万亿
+
+### 📉 大盘5日趋势
+- `--trend` 开启趋势模式
+- 迷你趋势图可视化
+- 5日累计涨跌幅
+
+### 🔍 关键词匹配增强
+- 新增 50+ 行业/板块关键词
+- 覆盖科技、新能源、消费、金融、制造等领域
+- 板块级别精确匹配，减少模糊匹配
+
+### 📅 本地快照
+- 自动保存每日数据到 `.cache/`
+- 报告底部显示最近5天数据对比
+- 涨停/跌停家数变化一目了然
+
+## 输出格式
+
+```
+📊 A股微博热搜分析报告 v1.1
+⏰ 2026-05-01 09:30
+==================================================
+
+📈 【大盘概览】
+----------------------------------------
+  🟢 上证指数: 3288.41 (+0.52%)
+  🔴 深证成指: 10245.67 (-0.09%)
+  🔴 创业板指: 2045.12 (-0.27%)
+
+🌊 【北向资金】
+----------------------------------------
+  🟢 净流入: 45.23亿
+  沪股通净买入: 28.10亿
+  深股通净买入: 17.13亿
+
+📉 【近5日趋势】
+----------------------------------------
+  📈 上证指数: +2.15% (5日)
+    ▓▓▓▓▓▓░░ ▓▓▓▓▓░░░ ▓▓▓▓▓▓░░ ▓▓▓▓▓▓▓░ ▓▓▓▓▓▓▓░
+    3250.12 → 3265.44 → 3278.90 → 3285.33 → 3288.41
+
+🔥 【微博A股热搜】
+----------------------------------------
+  #寒武纪涨停#  🔥17.5万  (板块「AI」)
+  #A股牛市来了#  🔥12.3万  (包含「A股」「牛市」)
+
+🟢 【涨停板 TOP10】
+----------------------------------------
+  寒武纪(688256) +20.0%  AI芯片
+  ...
+
+🔗 【热搜 vs 行情 关联分析】
+----------------------------------------
+  💬 热搜提及个股: 寒武纪, 中科曙光
+  🔥 热搜+涨停双重热度: 寒武纪
+  📊 涨停原因「AI芯片」: 3 只
+
+📅 【历史数据对比】
+----------------------------------------
+  📌 2026-05-01: 涨停42家 / 跌停5家 / 板块15个  北向: 45.23亿
+  📌 2026-04-30: 涨停38家 / 跌停8家 / 板块14个  北向: -12.50亿
+  📌 2026-04-29: 涨停45家 / 跌停3家 / 板块15个  北向: 32.80亿
+```
+
+## 数据源
+
+| 源 | 说明 | 需要 API Key |
+|----|------|-------------|
+| 微博热搜 | 公开 API | ❌ 不需要 |
+| AKShare (东方财富) | A股行情 + 北向资金 | ❌ 不需要 |
+
+## 依赖
+
+- Python 3.8+
+- akshare (`pip3 install akshare`)
+
+## 版本历史
+
+### v1.1.0 (2026-05-01)
+
+- 🌊 新增北向资金数据（沪股通/深股通净买入）
+- 📉 新增 `--trend` 大盘5日趋势 + 迷你趋势图
+- 🔍 关键词匹配增强：50+行业/板块关键词库
+- 📅 本地快照缓存 + 历史数据对比
+- 🔧 修复关键词模糊匹配过于宽泛的问题
+- 📝 报告标题标注版本号
+
+### v1.0.0 (2026-05-01)
+
+- 🚀 首发：微博热搜抓取 + A股行情 + 关联分析
+- 📈 大盘指数：上证/深证/创业板
+- 🟢 涨停板/跌停板 TOP 列表
+- 📊 热门板块排行
+- 🔗 热搜 vs 行情关联分析
+- 📱 支持 `--json` / `--brief` / `--no-weibo` / `--no-market`