From 90c2a0a0f5690381e3b286d6ca1fd0c6f63acab1 Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期三, 21 二月 2024 17:50:03 +0800
Subject: [PATCH] 6天长得过高/L2不过滤1手的数据/处理L2数据时间与本地时间相差过大的问题
---
code_attribute/code_nature_analyse.py | 34 +++++++++++++++++-----------------
1 files changed, 17 insertions(+), 17 deletions(-)
diff --git a/code_attribute/code_nature_analyse.py b/code_attribute/code_nature_analyse.py
index ef5b32a..a0a3c5f 100644
--- a/code_attribute/code_nature_analyse.py
+++ b/code_attribute/code_nature_analyse.py
@@ -385,24 +385,24 @@
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[0 - day_count:]
- min_price = None
- max_price = None
+ min_price_info = None
+ max_price_info = None
for d in datas:
- if min_price is None:
- min_price = d["low"]
- if max_price is None:
- max_price = d["high"]
- if min_price > d["low"]:
- min_price = d["low"]
- if max_price < d["high"]:
- max_price = d["high"]
+ if min_price_info is None:
+ min_price_info = d["low"], d
+ if max_price_info is None:
+ max_price_info = d["high"], d
+ if min_price_info[0] > d["low"]:
+ min_price_info = d["low"], d
+ if max_price_info[0] < d["high"]:
+ max_price_info = d["high"], d
# if max_price > float(limit_up_price):
# return False
- rate = (float(limit_up_price) - min_price) / min_price
- # print(rate)
- if rate >= 0.319:
- return True
- return False
+ rate = (float(limit_up_price) - min_price_info[1]["close"]) / min_price_info[1]["close"]
+ print(rate)
+ if rate >= 0.28:
+ return True, rate
+ return False, rate
# 杩炵画娑ㄥ仠鍚庢槸鍚﹀洖璋冧笉瓒冲
@@ -429,7 +429,7 @@
for x in max_limit_up_continue_count_info_list:
if max_limit_up_info is None:
max_limit_up_info = x
- if max_limit_up_info[0] <= x[0]:
+ if max_limit_up_info[0] <= x[0]:
max_limit_up_info = x
if not max_limit_up_info or max_limit_up_info[0] < 3:
@@ -442,7 +442,7 @@
if item["high"] > max_price_info[0]:
max_price_info = [item["high"], i]
# 璁＄畻鍥炶俯浠锋牸
- lowest_price_threhhold = round((1-0.28) * max_price_info[0], 2)
+ lowest_price_threhhold = round((1 - 0.28) * max_price_info[0], 2)
for i in range(max_price_info[1] + 1, len(datas)):
item = datas[i]
if item["low"] < lowest_price_threhhold:
--
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