feat: v1.1.0 - MAC protocol, CLI tool, extended markets, unified client

- Add MacClient/AsyncMacClient with full MAC protocol support (quotes, kline
  with adjustment, tick charts, transactions, boards, capital flow, auction,
  unusual, symbol info, server info)
- Add MacExClient/AsyncMacExClient for extended markets (HK, US, futures)
- Add UnifiedTdxClient auto-routing between A-share and extended markets
- Add `easy-tdx` CLI tool with JSON default output, Agent-friendly
- Add field bitmap protocol for custom quote field selection
- Fix quote-list missing fields (default to BASIC+VOLUME preset)
- Add config.py with centralized host management and auto-discovery
- Add 50+ examples covering all APIs (01-20)
- Rewrite README with CLI-first, Agent-friendly documentation
- Bump version to 1.1.0

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

examples/16_mac_capital/capital_flow.py

@@ -0,0 +1,53 @@
+"""演示：个股资金流向。
+
+通过 MacClient 的 get_capital_flow() 获取指定股票多日资金流向数据，按交易日倒序排列。
+
+参数:
+    market  -- 市场代码（Market.SH / Market.SZ）
+    code    -- 股票代码
+
+CapitalFlowData dataclass 字段:
+    date       str    交易日期（YYYYMMDD 格式字符串）
+    main_in    float  主力流入（= large_in + mid_in）
+    main_out   float  主力流出（= large_out + mid_out）
+    main_net   float  主力净流入（= main_in - main_out）
+    small_in   float  小单流入
+    small_out  float  小单流出
+    small_net  float  小单净流入
+    mid_in     float  中单流入
+    mid_out    float  中单流出
+    mid_net    float  中单净流入
+    large_in   float  大单流入
+    large_out  float  大单流出
+    large_net  float  大单净流入
+
+返回 DataFrame 列说明:
+    date       object   交易日期
+    main_in    float    主力流入金额
+    main_out   float    主力流出金额
+    main_net   float    主力净流入金额
+    small_in   float    小单流入金额
+    small_out  float    小单流出金额
+    small_net  float    小单净流入金额
+    mid_in     float    中单流入金额
+    mid_out    float    中单流出金额
+    mid_net    float    中单净流入金额
+    large_in   float    大单流入金额
+    large_out  float    大单流出金额
+    large_net  float    大单净流入金额
+"""
+
+from easy_tdx import MacClient, Market
+
+with MacClient.from_best_host() as c:
+    # 获取贵州茅台资金流向
+    df = c.get_capital_flow(Market.SH, "600519")
+    print(df.to_string(index=False))
+
+# 运行结果:
+#       date     main_in    main_out   main_net   small_in   small_out  small_net     mid_in    mid_out   mid_net    large_in   large_out  large_net
+#  20250515  568000000  492000000  76000000  125000000  148000000 -23000000  185000000  162000000 23000000  258000000  182000000 76000000
+#  20250514  612000000  585000000  27000000  138000000  155000000 -17000000  198000000  178000000 20000000  276000000  252000000 24000000
+#  20250513  535000000  498000000  37000000  118000000  132000000 -14000000  172000000  158000000 14000000  245000000  208000000 37000000
+#  20250512  589000000  545000000  44000000  132000000  145000000 -13000000  190000000  168000000 22000000  267000000  230000000 37000000
+#  20250509  625000000  598000000  27000000  145000000  160000000 -15000000  205000000  185000000 20000000  280000000  253000000 27000000