From 48fb7a00951f91bdc707e5dd2d196e5bccb752c3 Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期三, 18 六月 2025 18:41:30 +0800
Subject: [PATCH] 异常保护
---
code_attribute/code_nature_analyse.py | 324 +++++++++++++++++++++++++++++++++++------------------
1 files changed, 215 insertions(+), 109 deletions(-)
diff --git a/code_attribute/code_nature_analyse.py b/code_attribute/code_nature_analyse.py
index 05d9470..5c8379b 100644
--- a/code_attribute/code_nature_analyse.py
+++ b/code_attribute/code_nature_analyse.py
@@ -5,15 +5,13 @@
# 鏄惁鏈夋定鍋�
import copy
import json
-import random
-import time
from code_attribute import gpcode_manager
# 浠ｇ爜鑲℃�ц褰曠鐞�
-from db import redis_manager
+from db import redis_manager_delegate as redis_manager
from utils import tool
-from db.redis_manager_delegate import RedisManager, RedisUtils
+from db.redis_manager_delegate import RedisUtils
from utils.tool import CodeDataCacheUtil
@@ -191,23 +189,23 @@
# 璁剧疆鍘嗗彶K绾�
def set_record_datas(code, limit_up_price, record_datas):
- k_format = get_k_format(float(limit_up_price), record_datas)
+ k_format = get_k_format(code, float(limit_up_price), record_datas)
CodeNatureRecordManager().save_k_format(code, k_format)
- natures = get_nature(record_datas)
+ natures = get_nature(code, record_datas)
CodeNatureRecordManager().save_nature(code, natures)
# 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�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)
+# 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�, 涓婁釜浜ゆ槗鏃ユ槸鍚﹁穼鍋�)
+def get_k_format(code, limit_up_price, record_datas):
+ p1_data = get_lowest_price_rate(code, record_datas)
p1 = p1_data[0] >= 0.249, p1_data[1]
- p2 = __is_new_top(limit_up_price, record_datas)
- p3 = __is_lowest(record_datas)
- p4 = __is_near_new_top(limit_up_price, record_datas)
- p5 = __is_n_model(record_datas)
- p6 = __is_v_model(record_datas)
- p8 = __get_big_volumn_info(record_datas)
+ p2 = __is_new_top(code, limit_up_price, record_datas)
+ p3 = __is_lowest(code, record_datas)
+ p4 = __is_near_new_top(code, limit_up_price, record_datas)
+ p5 = __is_n_model(code, record_datas)
+ p6 = __is_v_model(code, record_datas)
+ p8 = __get_big_volumn_info(code, record_datas)
# # N瀛楀瀷鍖呭惈浜哊瀛楀瀷
# if p5:
@@ -216,21 +214,28 @@
p7 = (p1[0] or p2[0] or p3[0] or p4[0] or p5[0] or p6[0], '')
# 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︾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)
+ p9 = is_special(code, record_datas)
+ p10 = is_latest_10d_max_volume_at_latest_2d(code, record_datas)
+ # 鏈�杩�5澶╂槸鍚︽湁鐐告澘/娑ㄥ仠/璺屽仠
+ p11 = __has_latest_throwing_pressure(code, record_datas, 5)
+ # 90澶╁唴鏄惁鏈夋定鍋�
+ p12 = __has_limit_up(code, record_datas, 90)
+ # 涓婁釜浜ゆ槗鏃ユ槸鍚︽尟骞呰繃澶�
+ p13 = __is_pre_day_limit_rate_too_low(code, record_datas)
+ # 60涓氦鏄撴棩鏄惁鏇炬定鍋�
+ p14 = __has_limited_up(code, record_datas, 60)
+ # 鏄ㄦ棩鏄惁娑ㄥ仠杩�
+ p15 = __has_limited_up(code, record_datas, 1)
+ # 鏄ㄦ棩鏄惁璺屽仠
+ p16 = __is_latest_limit_down(code, record_datas, 1)
- return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13
+ return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16
# 鏄惁鍏锋湁K绾垮舰鎬�
-def is_has_k_format(limit_up_price, record_datas):
+def is_has_k_format(code, 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, is_latest_limit_down = get_k_format(
+ code,
float(limit_up_price), record_datas)
if not has_format:
return False, "涓嶆弧瓒矺绾垮舰鎬�"
@@ -239,29 +244,29 @@
# 鑾峰彇鑲℃��
# 杩斿洖锛堟槸鍚︽定鍋滐紝棣栨澘婧环鐜囷紝棣栨澘鐐告澘婧环鐜囷級
-def get_nature(record_datas):
- limit_up_count = get_first_limit_up_count(record_datas)
- premium_rate = get_limit_up_premium_rate(record_datas)
- open_premium_rate = get_open_limit_up_premium_rate(record_datas)
+def get_nature(code, record_datas):
+ limit_up_count = get_first_limit_up_count(code, record_datas)
+ premium_rate = get_limit_up_premium_rate(code, record_datas)
+ open_premium_rate = get_open_limit_up_premium_rate(code, record_datas)
result = (limit_up_count, premium_rate, open_premium_rate)
return result
# 鑾峰彇娑ㄥ箙
-def get_lowest_price_rate(record_datas):
+def get_lowest_price_rate(code, record_datas):
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-10:]
for data in datas:
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"]))
- if abs(limit_up_price - data["high"]) < 0.01:
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, data["pre_close"]))
+ if abs(limit_up_price - data["high"]) < 0.001:
date = data['bob'].strftime("%Y-%m-%d")
return round((datas[-1]["close"] - data["close"]) / data["close"], 4), date
return 0, ''
# 鏄惁娑ㄥ緱澶珮
-def is_up_too_high_in_10d_with_limit_up(record_datas):
+def is_up_too_high_in_10d_with_limit_up(code, record_datas):
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-10:]
@@ -269,11 +274,11 @@
limit_up_count = 0
max_price = datas[0]["high"]
for data in datas:
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"]))
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, data["pre_close"]))
date = data['bob'].strftime("%Y-%m-%d")
if data["high"] > max_price:
max_price = data["high"]
- if abs(limit_up_price - data["high"]) < 0.01:
+ if abs(limit_up_price - data["high"]) < 0.001:
limit_ups.append((date, True))
limit_up_count += 1
else:
@@ -300,7 +305,7 @@
# 10澶╁唴鐨勬渶楂橀噺鏄惁闆嗕腑鍦ㄦ渶杩戜袱澶�
-def is_latest_10d_max_volume_at_latest_2d(record_datas):
+def is_latest_10d_max_volume_at_latest_2d(code, record_datas):
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-10:]
@@ -315,11 +320,12 @@
# 120 澶╁唴鏄惁闀垮緱澶珮
-def is_up_too_high_in_120d(record_datas):
+def is_up_too_high_in_120d(code, record_datas):
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-120:]
- today_limit_up_price = round(float(gpcode_manager.get_limit_up_price_by_preprice(datas[-1]["close"])), 2)
+ today_limit_up_price = round(
+ float(gpcode_manager.get_limit_up_price_by_preprice(code, datas[-1]["close"])), 2)
max_price = 0
for data in datas:
if data["high"] > max_price:
@@ -342,19 +348,20 @@
# 鏆傛椂涓嶄娇鐢�
# 浠庢渶杩戜竴娆℃定鍋滃紑濮嬶紝鏄惁娑ㄥ箙杩囬珮
-def is_up_too_high_from_latest_limit_up(record_datas):
+def is_up_too_high_from_latest_limit_up(code, record_datas):
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-20:]
datas.reverse()
- today_limit_up_price = round(float(gpcode_manager.get_limit_up_price_by_preprice(datas[0]["close"])), 2)
+ today_limit_up_price = round(
+ float(gpcode_manager.get_limit_up_price_by_preprice(code, datas[0]["close"])), 2)
max_price = 0
limit_up_price = None
for i in range(0, len(datas)):
item = datas[i]
if item['high'] > max_price:
max_price = item['high']
- if __is_limited_up(item):
+ if __is_limited_up(code, item):
limit_up_price = item['high']
break
if not limit_up_price:
@@ -367,7 +374,7 @@
# 鏈�杩戝嚑澶╂槸鍚︽湁鏈�澶ч噺
-def is_have_latest_max_volume(record_datas, day_count):
+def is_have_latest_max_volume(code, record_datas, day_count):
datas = copy.deepcopy(record_datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-120:]
@@ -381,38 +388,82 @@
# 鍦ㄦ渶杩戝嚑澶╁唴鑲′环鏄惁闀垮緱澶珮
-def is_price_too_high_in_days(record_datas, limit_up_price, day_count=5):
+def is_price_too_high_in_days(code, record_datas, limit_up_price, day_count=5):
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 >= 0.28:
- return True
- return False
+ rate = (max_price_info[1]["high"] - min_price_info[1]["low"]) / min_price_info[1]["low"]
+ THRESHOLD_RATE = 0.319 * 2 if tool.is_ge_code(code) else 0.319
+ if rate >= THRESHOLD_RATE:
+ return True, rate
+ return False, rate
+
+
+# 杩炵画娑ㄥ仠鍚庢槸鍚﹀洖璋冧笉瓒冲
+def is_continue_limit_up_not_enough_fall_dwon(code, record_datas):
+ # 10 澶╁唴鏄惁鏈夎繛缁�3鏉�
+ datas = copy.deepcopy(record_datas)
+ datas.sort(key=lambda x: x["bob"])
+ datas = datas[0 - 10:]
+ limit_up_continue_count_info = None
+ max_limit_up_continue_count_info_list = [] # [杩炵画娑ㄥ仠娆℃暟,娑ㄥ仠璧风偣]
+
+ for i in range(len(datas)):
+ item = datas[i]
+ if __is_limit_up(code, item):
+ if not limit_up_continue_count_info:
+ limit_up_continue_count_info = [1, i]
+ else:
+ limit_up_continue_count_info[0] += 1
+ else:
+ if limit_up_continue_count_info:
+ max_limit_up_continue_count_info_list.append(limit_up_continue_count_info)
+ limit_up_continue_count_info = None
+ max_limit_up_info = None
+ 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]:
+ max_limit_up_info = x
+
+ if not max_limit_up_info or max_limit_up_info[0] < 3:
+ return False
+ start_index = max_limit_up_info[1]
+ max_price_info = [0, None]
+ for i in range(start_index, len(datas)):
+ item = datas[i]
+ 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)
+ for i in range(max_price_info[1] + 1, len(datas)):
+ item = datas[i]
+ if item["low"] < lowest_price_threhhold:
+ return False
+ return True
# 鏄惁鏈夋定鍋�
-def get_first_limit_up_count(datas):
+def get_first_limit_up_count(code, datas):
datas = copy.deepcopy(datas)
count = 0
for i in range(len(datas)):
item = datas[i]
# 鑾峰彇棣栨澘娑ㄥ仠娆℃暟
- if __is_limit_up(item) and i > 0 and not __is_limit_up(datas[i - 1]):
+ if __is_limit_up(code, item) and i > 0 and not __is_limit_up(code, datas[i - 1]):
# 棣栨澘娑ㄥ仠
count += 1
@@ -420,10 +471,10 @@
# 鏄惁鐮村墠楂�
-def __is_new_top(limit_up_price, datas):
+def __is_new_top(code, limit_up_price, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
- datas = datas[-80:]
+ datas = datas[-60:]
max_price = 0
for data in datas:
if max_price < data["high"]:
@@ -433,16 +484,16 @@
return False, ''
-def is_new_top(limit_up_price, datas):
- return __is_new_top(float(limit_up_price), datas)[0]
+def is_new_top(code, limit_up_price, datas):
+ return __is_new_top(code, float(limit_up_price), datas)[0]
-def is_near_top(limit_up_price, datas):
- return __is_near_new_top(float(limit_up_price), datas)[0]
+def is_near_top(code, limit_up_price, datas):
+ return __is_near_new_top(code, float(limit_up_price), datas)[0]
# 鎺ヨ繎鏂伴珮
-def __is_near_new_top(limit_up_price, datas):
+def __is_near_new_top(code, limit_up_price, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-80:]
@@ -461,7 +512,7 @@
# 鏄惁璺岀牬绠变綋
-def __is_lowest(datas):
+def __is_lowest(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-80:]
@@ -482,7 +533,7 @@
# N瀛楀舰
-def __is_n_model(datas):
+def __is_n_model(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-80:]
@@ -491,8 +542,7 @@
min_price = 1000000
for i in range(len(datas) - 5, len(datas)):
item = datas[i]
- print(item)
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(item["pre_close"]))
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
if abs(limit_up_price - item["high"]) < 0.001 and abs(
limit_up_price - datas[i - 1]["high"]) >= 0.001:
# 娑ㄥ仠锛屽墠涓�澶╅潪娑ㄥ仠
@@ -505,34 +555,79 @@
return False, ''
-# 鏈�杩戝嚑澶╂槸鍚︽湁鐐告澘鎴栬穼鍋�
-def __is_latest_open_limit_up(datas, day_count):
+def __has_latest_throwing_pressure(code, datas, day_count):
+ """
+ 鏈�杩戦噴鏀炬湁鎶涘帇
+ @param code:
+ @param datas:
+ @param day_count:
+ @return: 鏄惁鏈夋姏鍘�, None/(p楂樹环鏁版嵁, t楂樹环鏁版嵁)
+ """
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
items = datas[0 - day_count:]
- for item in items:
- 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
+ target_item = None
+ for i in range(len(items) - 1, -1, -1):
+ item = items[i]
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
+ limit_down_price = float(gpcode_manager.get_limit_down_price_by_preprice(code, item["pre_close"]))
+ if abs(limit_up_price - item["high"]) < 0.001 or abs(limit_down_price - item["close"]) < 0.001:
+ # 鐐告澘 # 鎴栨定鍋� # 鎴栬�呰穼鍋�
+ target_item = item
+ break
+ if not target_item:
+ return False, None
+ p_price, p_volume = target_item["high"], target_item["volume"]
+ t_price, t_volume = 0, 0
+ for i in range(len(items) - 1, -1, -1):
+ item = items[i]
+ if item["bob"] == target_item["bob"]:
+ break
+ if item["high"] >= p_price * 1.03:
+ t_price, t_volume = item["high"], item["volume"]
+ break
+ if t_price > 0:
+ return True, ((p_price, p_volume), (t_price, t_volume))
+ else:
+ return True, ((p_price, p_volume), None)
-def __is_latest_limit_down(datas, day_count):
+def __is_latest_limit_down(code, 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"]))
+ limit_down_price = float(gpcode_manager.get_limit_down_price_by_preprice(code, item["pre_close"]))
if abs(limit_down_price - item["close"]) < 0.001:
# 璺屽仠
return True
return False
+def __is_pre_day_limit_rate_too_low(code, datas):
+ """
+ 涓婁釜浜ゆ槗鏃ユ槸鍚﹁穼骞呰繃澶�
+ @param code:
+ @param datas:
+ @return:
+ """
+ datas = copy.deepcopy(datas)
+ datas.sort(key=lambda x: x["bob"])
+ items = datas[-1:]
+ for item in items:
+ # 鏄惁鏈夎穼鍋�
+ # 鑾峰彇褰撴棩娑ㄥ箙
+ rate_open = (item["open"] - item["pre_close"]) / item["pre_close"]
+ rate_close = (item["close"] - item["pre_close"]) / item["pre_close"]
+ threshold_rate_ = 0.15
+ if abs(rate_open - rate_close) >= threshold_rate_:
+ return True
+ return False
+
+
# V瀛楀舰
-def __is_v_model(datas):
+def __is_v_model(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-30:]
@@ -543,11 +638,9 @@
max_price = datas[i]["close"]
max_price_index = i
min_price = max_price
- min_price_index = max_price_index
for i in range(max_price_index, len(datas)):
if min_price > datas[i]["close"]:
min_price = datas[i]["close"]
- min_price_index = i
if (max_price - min_price) / max_price > 0.249:
return True, ''
@@ -556,7 +649,7 @@
# 鏄惁澶╅噺澶ч槼
-def __get_big_volumn_info(datas):
+def __get_big_volumn_info(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
datas = datas[-30:]
@@ -571,40 +664,55 @@
# 鏄惁娑ㄥ仠
-def __is_limit_up(data):
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"]))
- return abs(limit_up_price - data["close"]) < 0.001
+def __is_limit_up(code, data):
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, data["pre_close"]))
+ return abs(limit_up_price - data["close"]) < 0.009
# 鏄惁娑ㄥ仠杩�
-def __is_limited_up(data):
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"]))
- return abs(limit_up_price - data["high"]) < 0.001
+def __is_limited_up(code, data):
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, data["pre_close"]))
+ return abs(limit_up_price - data["high"]) < 0.009
# 澶氬皯澶╁唴鏄惁鏈夋定鍋�/鏇炬定鍋�
-def __has_limit_up(datas, day_count):
+def __has_limit_up(code, datas, day_count):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
- datas = datas[0 - day_count:]
+ if len(datas) > day_count:
+ datas = datas[0 - day_count:]
if len(datas) >= 1:
for i in range(0, len(datas)):
item = datas[i]
- if __is_limit_up(item):
+ if __is_limit_up(code, item):
+ return True
+ return False
+
+
+# 澶氬皯澶╁唴鏄惁鏇炬定鍋�
+def __has_limited_up(code, datas, day_count):
+ datas = copy.deepcopy(datas)
+ datas.sort(key=lambda x: x["bob"])
+ if len(datas) > day_count:
+ datas = datas[0 - day_count:]
+ if len(datas) >= 1:
+ for i in range(0, len(datas)):
+ item = datas[i]
+ if __is_limited_up(code, item):
return True
return False
# 棣栨澘娑ㄥ仠婧环鐜�
-def get_limit_up_premium_rate(datas):
+def get_limit_up_premium_rate(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
first_rate_list = []
for i in range(0, len(datas)):
item = datas[i]
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(item["pre_close"]))
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
if abs(limit_up_price - item["close"]) < 0.001:
- if 0 < i < len(datas) - 1 and not __is_limit_up(datas[i - 1]):
+ if 0 < i < len(datas) - 1 and not __is_limit_up(code, datas[i - 1]):
# 棣栨澘娑ㄥ仠
rate = (datas[i + 1]["high"] - datas[i + 1]["pre_close"]) / datas[i + 1]["pre_close"]
first_rate_list.append(rate)
@@ -618,18 +726,16 @@
# 棣栨澘鐐告澘婧环鐜�
-def get_open_limit_up_premium_rate(datas):
+def get_open_limit_up_premium_rate(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
first_rate_list = []
for i in range(0, len(datas)):
item = datas[i]
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(item["pre_close"]))
+ limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
if abs(limit_up_price - item["high"]) < 0.001 and abs(limit_up_price - item["close"]) > 0.001:
- #
- limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(datas[i - 1]["pre_close"]))
- if 0 < i < len(datas) - 1 and not __is_limit_up(datas[i - 1]):
+ if 0 < i < len(datas) - 1 and not __is_limit_up(code, datas[i - 1]):
# 鍓嶄竴澶╂湭娑ㄥ仠
rate = (datas[i + 1]["high"] - item["high"]) / item["high"]
first_rate_list.append(rate)
@@ -643,7 +749,7 @@
# 鏄惁鍏锋湁杈ㄨ瘑搴�
-def is_special(datas):
+def is_special(code, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
datas_30 = datas[-30:]
@@ -653,7 +759,7 @@
continue_count = 0
has_continue = False
for item in datas_30:
- if __is_limit_up(item):
+ if __is_limit_up(code, item):
continue_count += 1
count += 1
if continue_count >= 4:
@@ -667,19 +773,19 @@
has_continue = False
# 90涓氦鏄撴棩鍐呮定鍋滄鏁扳墺6娆�
for item in datas_90:
- if __is_limit_up(item):
+ if __is_limit_up(code, item):
continue_count += 1
count += 1
if continue_count >= 4:
has_continue = True
else:
continue_count = 0
- if count >= 7 and has_continue:
+ if count >= 6 and has_continue:
return True, "闀挎湡杈ㄨ瘑搴�"
return False, ""
if __name__ == "__main__":
- HighIncreaseCodeManager().add_code("000333")
- print(HighIncreaseCodeManager().is_in("000333"))
- print(HighIncreaseCodeManager().is_in("000222"))
+ code = "000333"
+ threshold_rate = 0 - ((1 - tool.get_limit_down_rate(code)) * 0.9)
+ print(threshold_rate)
--
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