From b01a946cdbd1adc0f25d2d1899ea7802ff13b13d Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期五, 29 十二月 2023 17:48:35 +0800
Subject: [PATCH] 选票需求修改

---
 code_attribute/code_nature_analyse.py |   20 +++++++++++++++-----
 1 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/code_attribute/code_nature_analyse.py b/code_attribute/code_nature_analyse.py
index ce624fd..05d9470 100644
--- a/code_attribute/code_nature_analyse.py
+++ b/code_attribute/code_nature_analyse.py
@@ -218,17 +218,19 @@
     # 鏄惁鍏锋湁杈ㄨ瘑搴�
     p9 = is_special(record_datas)
     p10 = is_latest_10d_max_volume_at_latest_2d(record_datas)
-    # 鏈�杩�5澶╂槸鍚﹁穼鍋�/鐐告澘
-    p11 = __is_latest_open_limit_up_or_limit_down(record_datas, 5)
+    # 鏈�杩�5澶╂槸鍚︾偢鏉�
+    p11 = __is_latest_open_limit_up(record_datas, 5)
     # 30澶╁唴鏄惁鏈夋定鍋�
     p12 = __has_limit_up(record_datas, 30)
+    # 鏈�杩�5澶╂槸鍚﹁穼鍋�
+    p13 = __is_latest_limit_down(record_datas, 5)
 
-    return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12
+    return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13
 
 
 # 鏄惁鍏锋湁K绾垮舰鎬�
 def is_has_k_format(limit_up_price, record_datas):
-    is_too_high, is_new_top, is_lowest, is_near_new_top, is_n, is_v, has_format, volume_info, is_special, has_max_volume, open_limit_up, is_limit_up_in_30days = get_k_format(
+    is_too_high, is_new_top, is_lowest, is_near_new_top, is_n, is_v, has_format, volume_info, is_special, has_max_volume, open_limit_up, is_limit_up_in_30days, is_latest_limit_down = get_k_format(
         float(limit_up_price), record_datas)
     if not has_format:
         return False, "涓嶆弧瓒矺绾垮舰鎬�"
@@ -504,7 +506,7 @@
 
 
 # 鏈�杩戝嚑澶╂槸鍚︽湁鐐告澘鎴栬穼鍋�
-def __is_latest_open_limit_up_or_limit_down(datas, day_count):
+def __is_latest_open_limit_up(datas, day_count):
     datas = copy.deepcopy(datas)
     datas.sort(key=lambda x: x["bob"])
     items = datas[0 - day_count:]
@@ -513,6 +515,14 @@
         if abs(limit_up_price - item["high"]) < 0.001 and abs(limit_up_price - item["close"]) > 0.001:
             # 鐐告澘
             return True
+    return False
+
+
+def __is_latest_limit_down(datas, day_count):
+    datas = copy.deepcopy(datas)
+    datas.sort(key=lambda x: x["bob"])
+    items = datas[0 - day_count:]
+    for item in items:
         # 鏄惁鏈夎穼鍋�
         limit_down_price = float(gpcode_manager.get_limit_down_price_by_preprice(item["pre_close"]))
         if abs(limit_down_price - item["close"]) < 0.001:

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