From 8c7f84cbd0afde7600b0c67a8032fa19c57d8c41 Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期一, 05 二月 2024 11:18:33 +0800
Subject: [PATCH] L撤快速成交触发撤单修改
---
test/test_code_attribute.py | 35 ++++++++++++++++++++---------------
1 files changed, 20 insertions(+), 15 deletions(-)
diff --git a/test/test_code_attribute.py b/test/test_code_attribute.py
index 32cbd94..1a2e72a 100644
--- a/test/test_code_attribute.py
+++ b/test/test_code_attribute.py
@@ -1,25 +1,30 @@
from code_attribute import code_nature_analyse
-from utils import init_data_util
+from utils import init_data_util, tool
def is_too_high(datas):
limit_up_price = round(datas[0]["close"] * 1.1, 2)
datas.reverse()
- is_new_high = code_nature_analyse.is_price_too_high_in_days(datas, limit_up_price)
+ is_new_high = code_nature_analyse.is_up_too_high_from_latest_limit_up(datas)
return is_new_high
+def __get_refer_volume_info():
+ code = "001239"
+ limit_up_price = 22.80
+ volumes_data = init_data_util.get_volumns_by_code(code, 150)
+ volumes = init_data_util.parse_max_volume(volumes_data[:90],
+ code_nature_analyse.is_new_top(
+ limit_up_price,
+ volumes_data[:90]) or code_nature_analyse.is_near_top(
+ limit_up_price,
+ volumes_data[:90]))
+ print(volumes)
+
+
if __name__ == "__main__":
- code_str = "000536,000625,000628,000670,000766,000829,001311,001331,002189,002275,002331,002341,002363,002406,002416,002655,002691,002848,002861,002885,002906,002917,002962,300217,300462,300552,301111,301215,301372,600107,600178,600222,600288,600513,600698,600960,601777,603029,603286,603297,603569,605020,688314,688789"
- codes = code_str.split(",")
- for code in codes:
- if code.find("00") != 0 and code.find("60") != 0:
- continue
- try:
- datas = init_data_util.get_volumns_by_code(code, 120)
- datas = datas[3:]
- result = is_too_high(datas)
- if result:
- print(code, result)
- except:
- print(code, "鍑洪敊")
+ __get_refer_volume_info()
+ # code = "601022"
+ # volumes_data = init_data_util.get_volumns_by_code(code, 150)
+ # volumes_data = volumes_data[0:]
+ # print( code_nature_analyse.is_special(volumes_data))
--
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