From 3da5d1ef00cf7665c2d37f837e6845c92d22e31c Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期五, 15 十二月 2023 16:02:08 +0800
Subject: [PATCH] 前日炸板策略修改
---
code_attribute/code_nature_analyse.py | 19 ++++++++++++++++---
1 files changed, 16 insertions(+), 3 deletions(-)
diff --git a/code_attribute/code_nature_analyse.py b/code_attribute/code_nature_analyse.py
index 47081b6..bb9951f 100644
--- a/code_attribute/code_nature_analyse.py
+++ b/code_attribute/code_nature_analyse.py
@@ -198,7 +198,7 @@
# 鑾峰彇K绾垮舰鎬�
-# 杩斿洖 (15涓氦鏄撴棩娑ㄥ箙鏄惁澶т簬24.9%,鏄惁鐮村墠楂橈紝鏄惁瓒呰穼锛屾槸鍚︽帴杩戝墠楂橈紝鏄惁N,鏄惁V,鏄惁鏈夊舰鎬�,澶╅噺澶ч槼淇℃伅,鏄惁鍏锋湁杈ㄨ瘑搴�)
+# 杩斿洖 (15涓氦鏄撴棩娑ㄥ箙鏄惁澶т簬24.9%,鏄惁鐮村墠楂橈紝鏄惁瓒呰穼锛屾槸鍚︽帴杩戝墠楂橈紝鏄惁N,鏄惁V,鏄惁鏈夊舰鎬�,澶╅噺澶ч槼淇℃伅,鏄惁鍏锋湁杈ㄨ瘑搴�,杩�2澶╂湁10澶╁唴鏈�澶ч噺,涓婁釜浜ゆ槗鏃ユ槸鍚︾偢鏉�)
def get_k_format(limit_up_price, record_datas):
p1_data = get_lowest_price_rate(record_datas)
p1 = p1_data[0] >= 0.249, p1_data[1]
@@ -218,13 +218,14 @@
# 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)
+ p11 = __is_yesterday_open_limit_up(record_datas)
- return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10
+ return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11
# 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 = 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 = get_k_format(
float(limit_up_price), record_datas)
if not has_format:
return False, "涓嶆弧瓒矺绾垮舰鎬�"
@@ -469,6 +470,18 @@
return False, ''
+# 鏄ㄥぉ鏄惁鐐告澘
+def __is_yesterday_open_limit_up(datas):
+ datas = copy.deepcopy(datas)
+ datas.sort(key=lambda x: x["bob"])
+ item = datas[-1]
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(item["pre_close"]))
+ 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
+
+
# V瀛楀舰
def __is_v_model(datas):
datas = copy.deepcopy(datas)
--
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