From dad46b192e8fc3dcc657877b7189a8d0fe5f4aa7 Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期一, 30 十二月 2024 12:36:05 +0800
Subject: [PATCH] 大于200亿的流出不算作净流出
---
third_data/code_plate_key_manager.py | 27 ++++++++++++++-------------
1 files changed, 14 insertions(+), 13 deletions(-)
diff --git a/third_data/code_plate_key_manager.py b/third_data/code_plate_key_manager.py
index 1ba3ba9..6d41e73 100644
--- a/third_data/code_plate_key_manager.py
+++ b/third_data/code_plate_key_manager.py
@@ -365,7 +365,7 @@
if cls.__market_strong is not None:
score = int(cls.__market_strong)
for info in constant.RADICAL_BUY_TOP_IN_COUNT_BY_MARKET_STRONG:
- if info[0]<=score<info[1]:
+ if info[0] <= score < info[1]:
return info[2]
return 10
@@ -377,13 +377,13 @@
@return:
"""
# 娴佸叆闃堝��
- THRESHOLD_MONEY = 100 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
- THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
- THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
- THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
- # THRESHOLD_MONEY = 0
+ # THRESHOLD_MONEY = 50 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
+ # THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
+ # THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
+ # THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
+ THRESHOLD_MONEY = 0
# 鏈�澶ф暟閲�
- MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()
+ # MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()
cls.top_in_list_cache = datas
blocks = set()
@@ -398,7 +398,6 @@
# 杩囨护鍑烘潵涓哄悓涓�涓澘鍧楀氨鍙畻1涓暟閲�
fb = BlockMapManager().filter_blocks({data[1]})
if blocks & fb:
- blocks.add(data[1])
continue
for b in fb:
@@ -413,9 +412,13 @@
break
if has_code:
count += 1
-
- if count >= MAX_COUNT:
- break
+ if count == 10:
+ strong = cls.get_market_strong()
+ if strong is None:
+ strong = 60
+ THRESHOLD_MONEY = int((1 - strong/200) * data[3])
+ # if count >= MAX_COUNT:
+ # break
# 璁板綍绮鹃�夋祦鍑烘棩蹇�
async_log_util.info(logger_kpl_jx_in, f"鍘熸暟鎹細{datas[:50]} 鏉垮潡锛歿blocks}")
blocks = list(blocks)
@@ -483,8 +486,6 @@
if cls.top_in_list_cache[i][1] == b:
return b, i, cls.top_in_list_cache[i][3]
return b, -1, 0
-
-
@classmethod
def set_top_5_industry(cls, datas):
--
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