gp_low_suction_new.git

			@@ -8,7 +8,10 @@
			# from datetime import time
			# from datetime import timedelta
			import time

			import constant
			import utils.tool
			from log_module import async_log_util
			from log_module.log import logger_kpl_jingxuan_in, logger_common
			# import dateutil
			# 引入掘金API
			@@ -17,7 +20,8 @@
			from strategy import basic_methods
			from strategy import account_management
			from strategy import order_methods

			from strategy.forbidden_plates_manager import ForbiddenPlatesManager
			from strategy.order_methods import TodayBuyCodeManager

			from utils import tool, huaxin_util

			@@ -100,6 +104,31 @@
			return last_volume


			def logger_info(content):
			"""
			日志记录
			:param content:
			:return:
			"""
			async_log_util.info(logger, content)


			# 获取具体的下单金额【具体选用哪一个参数作为下单金额，判断依据有优先级】
			def get_order_money():
			"""
			获取下单金额
			:return:
			"""
			if data_cache.BUY_MONEY_PER_CODE > 0:
			logger.info(f"采用GUI设置方式=》今日计划下单金额:{data_cache.BUY_MONEY_PER_CODE}")
			return data_cache.BUY_MONEY_PER_CODE
			if data_cache.today_first_planned_order_amount > 0:
			logger.info(f"采用开仓策略首次计算结果=》今日计划下单金额:{data_cache.today_first_planned_order_amount}")
			return data_cache.today_first_planned_order_amount
			logger.info(f"采用开仓策略实时计算方式=》今日计划下单金额:{data_cache.today_planned_order_amount}")
			return data_cache.today_planned_order_amount


			# 涨幅视界策略【根据涨幅进入视界为起始的策略】
			def growth_view_strategy(current_info):
			symbol_code = current_info[0] # 券商接口为纯数字编号
			@@ -118,6 +147,9 @@
			# current_quotes_buy == [[23.25, 800], [23.24, 1100], [23.23, 1100], [23.22, 2200], [23.21, 2300]]
			# current_quotes_sell == [[23.27, 500], [23.29, 200], [23.3, 6900], [23.31, 500], [23.32, 200]]
			current_created_at = current_info[7] # 当前信息创建时间
			# 如果最新价获取失败，就取买一价
			if current_price <= 0:
			current_price = current_quotes_buy[0][0]
			if type(current_created_at) == int:
			current_created_at = huaxin_util.convert_time(current_created_at)
			# 获取不到开盘价就不处理后续操作【此操作还包括了current_high，current_low 也一并处理了】
			@@ -140,27 +172,28 @@
			# 由于会存在分时L1数据中最新价为0导致current_low==0的情况，所以当出现这一情况时，将它直接赋值为昨收价（目前没有办法根本解决）
			if current_low == 0:
			current_low = k_line_data[0]['close']
			# logger.info(f"current_low == 0 赋值为K线昨收价")
			# logger_info(f"current_low == 0 赋值为K线昨收价")

			# 如果公司名称中不包含["ST", "退市", "退", "XD", "XR", "DR", "N"] 则继续逻辑判断
			if not any(keyword in k_line_data[0]['sec_name'] for keyword in ["ST", "退市", "退", "XD", "XR", "DR", "N"]):
			# 如果公司名称中不包含["ST", "退市", "退", "XD", "XR", "DR", "N", "C"] 则继续逻辑判断C:次新股
			if not any(
			keyword in k_line_data[0]['sec_name'] for keyword in ["ST", "退市", "退", "XD", "XR", "DR", "N", "C"]):
			# print(f"非ST, 退市, 退, XD, N==={k_line_data[0]['sec_name']} 继续判断")
			# print(f"{k_line_data[0]['sec_name']} 继续判断")
			if current_low is not None:
			deep_low = (current_low - k_line_data[0]['close']) / k_line_data[0]['close'] * 100 # 当日最大跌幅比
			else:
			deep_low = 0 # 当日最大跌幅比
			# logger.info(f"current_low is None or current_low == 0 按照K线昨收价作为当日当时最低价赋值，强行将最大跌幅比赋值为0")
			# logger_info(f"current_low is None or current_low == 0 按照K线昨收价作为当日当时最低价赋值，强行将最大跌幅比赋值为0")
			# 由于已经把回调的涨停概念数据全局化了，所以直接使用这个数据列表，并且直接去重后列表化
			limit_up_block_names = list(set(data_cache.limit_up_block_names))
			# 在循环监测个股瞬时行情时进入涨幅视界的情况 ***********************************************************【涨幅视界】******************************************************
			if tick_growth is not None and tick_growth >= 0.3:
			logger.info(f"上证指数开盘涨幅 ====》》》 {round(data_cache.Shanghai_open_growth, 4)}%")
			logger.info(f"深证指数开盘涨幅 ====》》》 {round(data_cache.Shenzhen_open_growth, 4)}%")
			logger.info(f"创业板指开盘涨幅 ====》》》 {round(data_cache.TSXV_open_growth, 4)}%")
			async_log_util.info(logger, f"上证指数开盘涨幅 ====》》》 {round(data_cache.Shanghai_open_growth, 4)}%")
			async_log_util.info(logger, f"深证指数开盘涨幅 ====》》》 {round(data_cache.Shenzhen_open_growth, 4)}%")
			async_log_util.info(logger, f"创业板指开盘涨幅 ====》》》 {round(data_cache.TSXV_open_growth, 4)}%")
			now = datetime.datetime.now()
			logger.info(
			f"获取时间========================================={current_created_at}=========================================")
			async_log_util.info(logger,
			f"获取时间========================================={current_created_at}=========================================")
			# 调用安全交易量公式
			ratios = basic_methods.secure_volume(now)
			# print(f"ratios==================={ratios} ,")
			@@ -174,8 +207,8 @@
			# print(f"自由市值=========={free_market_value} 亿")
			# 使用 get 方法安全地获取板块列表，如果股票代码不存在则返回 None 或一个空列表作为默认值
			stocks_plates = data_cache.all_stocks_plate_dict.get(symbol_to_search, {}).get("plate", [])
			logger.info(f"【{k_line_data[0]['sec_name']}】概念板块=========={stocks_plates} ")
			logger.info(f"【大盘当前】涨停概念=========={limit_up_block_names}")
			async_log_util.info(logger, f"【{k_line_data[0]['sec_name']}】概念板块=========={stocks_plates} ")
			async_log_util.info(logger, f"【大盘当前】涨停概念=========={limit_up_block_names}")
			# 将获取的板块列表转换为集合，并计算与涨停板块的交集
			stocks_plates_set = set(stocks_plates)
			limit_up_plate_set = set(limit_up_block_names)
			@@ -187,45 +220,58 @@
			# # 如果没有找到，打印提示信息
			# print(f"没有在概念缓存列表中找到:{symbol_to_search}。")

			# 声明要检查过滤不可用的概念板块名称常量
			check_plate_list = {'ST摘帽', '并购重组', '国企改革', '无', '超跌', '壳资源', '股权转让', '科创板',
			'次新股', '北交所', '送转填权', '业绩增长', '中报增长', '专用设备'}
			# 声明要检查过滤不可用的概念板块名称常量【代表着是否有无概念及跟随概念的可能性(有明显个股独特增长特性的不可跟随，因为概念本身是宽泛的，许多不同概念的个股都有这个概念)】
			# set(ForbiddenPlatesManager().list_plates() 将GUI上手动添加的拉黑概念也并入其中
			check_plate_list = constant.check_plate_list \| set(ForbiddenPlatesManager().list_plates())
			# check_plate_list = constant.check_plate_list

			# 查询当前个股的代码是否在板块强度个股列表中（低吸优选目标）
			strength_list_have_it = False # 为查询结果赋初值
			strength_list_have_it = False # 是否有强度赋初值
			have_leading_increase = False # 是否有领涨次数赋初值
			strength_plate = []
			# 遍历字典的每个键值对
			for key, values in data_cache.market_sift_plate_stock_dict.items():
			# 遍历每个键对应的列表中的列表
			for stock_list in values:
			if len(stock_list) > 1 and symbol_code in stock_list[1]:
			logger.info(f"在板块强度个股列表中找到了 {key}：{k_line_data[0]['sec_name']}。")
			# 打印概念对应的个股列表
			# print(f"stock_list=={stock_list}")
			# 将个股精选的相关两个概念字符串转化为列表
			correlation_plate_list = stock_list[4].split('、')
			logger.info(
			f"【{stock_list[0]}】，当日当时涨幅：{stock_list[2]}%，当时涨速：{stock_list[3]}，个股精选相关板块=={correlation_plate_list} ，领涨次数:{stock_list[6]}")
			# 如果只需要找到一个就停止，可以在这里使用 break
			if len(values) >= 2:
			logger.info(f"单一板块内瞬时拉升数为：{len(values)}，分别为===={values}")
			# 如果子列表长度大于1且第二个元素包含当前进入涨幅视界的symbol_code
			strength_list_have_it = True
			strength_plate = correlation_plate_list
			market_sift_plate_stock_dict = data_cache.market_sift_plate_stock_dict
			if market_sift_plate_stock_dict is not None:
			# 遍历字典的每个键值对
			for key, values in market_sift_plate_stock_dict.items():
			# 遍历每个键对应的列表中的列表
			for stock_list in values:
			if len(stock_list) > 1 and symbol_code in stock_list[1]:
			async_log_util.info(logger,
			f"在板块强度个股列表中找到了 {key}：{k_line_data[0]['sec_name']}。")
			# 打印概念对应的个股列表
			# print(f"stock_list=={stock_list}")
			# 将个股精选的相关两个概念字符串转化为列表
			correlation_plate_list = stock_list[4].split('、')
			async_log_util.info(logger,
			f"【{stock_list[0]}】，当日当时涨幅：{stock_list[2]}%，当时涨速：{stock_list[3]}，个股精选相关板块=={correlation_plate_list} ，领涨次数:{stock_list[6]}")
			# 如果只需要找到一个就停止，可以在这里使用 break
			if len(values) >= 2:
			async_log_util.info(logger,
			f"单一板块内瞬时拉升数为：{len(values)}，分别为===={values}")
			# 如果子列表长度大于1且第二个元素包含当前进入涨幅视界的symbol_code
			# 有强度视界
			strength_list_have_it = True
			strength_plate = correlation_plate_list
			if stock_list[6] >= 1:
			async_log_util.info(logger, f"包含有强度的板块中，任意一次领涨次数>=1")
			have_leading_increase = True
			'''
			初始化K线近期显著指标的序号并找出来，如果没有，则返回空值
			'''
			# 调用历史K累计涨停天数函数
			limit_up_day = basic_methods.count_limit_up_day(k_line_data)
			# 调用大抛压位计算函数
			throwing_pressure_position = basic_methods.position_of_throwing_pressure(k_line_data, current_open, current_volume, today_limit_up_price)
			throwing_pressure_position = basic_methods.position_of_throwing_pressure(k_line_data, current_open,
			current_volume,
			today_limit_up_price)
			# print(f"throwing_pressure_position === {throwing_pressure_position}")
			# 计算瞬时量幅比
			# 瞬时量幅比 = 瞬时交易量 / 昨日交易量 / 瞬时涨幅
			last_volume_to_growth_ratio = (round(current_last_volume / 10000, 2) / round(
			k_line_data[0]['volume'] / 10000, 2)) / (round(tick_growth, 2) / 100)

			logger.info(
			f"当日当时涨幅：{today_growth}%，当日当时总成交量：{round(current_volume / 10000, 2)}万，昨日的总成交量{round(k_line_data[0]['volume'] / 10000, 2)}万，瞬时成交量:{round(current_last_volume / 10000, 2)}万，瞬时涨幅:{round(tick_growth, 2)}%,瞬时量幅比:{round(last_volume_to_growth_ratio, 2)}%")
			async_log_util.info(logger,
			f"当日当时涨幅：{today_growth}%，当日当时总成交量：{round(current_volume / 10000, 2)}万，昨日的总成交量{round(k_line_data[0]['volume'] / 10000, 2)}万，瞬时成交量:{round(current_last_volume / 10000, 2)}万，瞬时涨幅:{round(tick_growth, 2)}%,瞬时量幅比:{round(last_volume_to_growth_ratio, 2)}%")
			# print(
			# f"卖一量：{current_quotes[0]['ask_v']},卖二量：{current_quotes[1]['ask_v']},卖三量：{current_quotes[2]['ask_v']},卖四量：{current_quotes[3]['ask_v']},卖五量：{current_quotes[4]['ask_v']}")
			# print(
			@@ -234,7 +280,7 @@
			buying_strong = basic_methods.get_buying_strength(current_quotes_buy, current_quotes_sell)
			# print(f"buying_strong==={buying_strong}")
			if len(data_cache.bought_plate) > 0:
			logger.info(f"已买入的概念板块==={data_cache.bought_plate}")
			async_log_util.info(logger, f"已买入的概念板块==={data_cache.bought_plate}")
			# 创建一个已买板块集合
			bought_plate_set = set(data_cache.bought_plate)
			# 设定当前时间点
			@@ -248,7 +294,9 @@
			if deep_low > -3 and deep_low is not None:
			# 进入乐观涨幅区间
			if 0 <= today_growth <= 6.5:
			# logger.info(f"进入乐观涨幅区间！公司名称：{k_line_data[0]['sec_name']}，当日当时涨幅：{today_growth},当前时间：{current_data['created_at']}")
			# logger_info(f"进入乐观涨幅区间！公司名称：{k_line_data[0]['sec_name']}，当日当时涨幅：{today_growth},当前时间：{current_data['created_at']}")
			# 调用L2大单记录在否函数检查返回结果
			L2_found_big_order = L2_data_analysis.find_L2_big_order_of_code(symbol_code)
			# 进入无高位风险且无二次近前高风险等视界
			if k_line_data[0]['risk_position'] not in ['recent_high_position_risk',
			'recent_second_break_near_high_position_risk',
			@@ -259,328 +307,423 @@
			'''
			if len(limit_up_plate_included) != 0 and limit_up_plate_included.issubset(
			check_plate_list) is False:
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】--------------------------------------------------------------------------------------------------------[有概念视界]")
			logger.info(f"包含涨停概念：{limit_up_plate_included}")
			logger_info(f"包含涨停概念：{limit_up_plate_included}")
			if len(limit_up_plate_included) >= 3:
			logger.info(f"包含多个涨停概念：{limit_up_plate_included}")
			logger_info(f"包含多个涨停概念：{limit_up_plate_included}")
			limit_up_plate_included_list = list(limit_up_plate_included)
			intersection_plate = bought_plate_set.intersection(limit_up_plate_included)
			if len(intersection_plate) > 0:
			logger.info(f"重复相交概念==={intersection_plate}")
			logger.info(
			f"【有概念】(涨停列表中包含自身概念且不是唯一包含概念不可用) ！最新价: {current_price}，，当日当时涨幅：{today_growth}%。")
			logger_info(f"重复相交概念==={intersection_plate}")

			logger_info(f"【有概念】(涨停列表中包含自身概念且不是唯一包含概念不可用) ！最新价: {current_price}，，当日当时涨幅：{today_growth}%。")
			# 有概念有强度视界
			if strength_list_have_it is True:
			logger.info(
			f"【有概念有强度】出现在板块强度大于2的列表中瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，当日当时涨幅：{today_growth}%。")
			if last_volume_to_growth_ratio > 0.8 and (
			free_market_value < 40 and current_price < 20):
			logger.info(
			f"【不利】瞬时量幅比> 0.8 且 (小自由市值<40亿或最新价小于20元 )！，瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，自由市值：{free_market_value} 亿。")
			elif now_time <= datetime.time(9, 30, 5).strftime("%H:%M:%S"):
			logger.info(
			logger_info(f"【有概念有强度】出现在板块强度大于2的列表中瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，当日当时涨幅：{today_growth}%。")
			if tick_growth < 0.5 and (free_market_value <= 100 and current_price <= 10):
			logger_info(f"【有概念有强度无强拉】瞬时涨幅 < 0.5% ！瞬时涨幅：{round(tick_growth, 2)}%")
			return
			if last_volume_to_growth_ratio > 0.8 and (free_market_value <= 40 and current_price <= 20):
			logger_info(f"【不利】瞬时量幅比> 0.8 且 (小自由市值<40亿或最新价小于20元 )！，瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，自由市值：{free_market_value} 亿。")
			return
			if now_time <= datetime.time(9, 30, 5).strftime("%H:%M:%S"):
			logger_info(
			f"【不利】早盘第一个tick，瞬时涨幅计算恐有误，不买！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%。")
			elif limit_up_day < 1 and tick_growth < 1:
			logger.info(
			return
			if limit_up_day < 1 and tick_growth < 1:
			logger_info(
			f"【不利】冷票且瞬时涨幅小于 1 ！不买！！，瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，90天内涨停天数：{limit_up_day}")
			return
			# for d in k_line_data[1:3] 只检查k_line_data中的第二个和第三个元素
			elif limit_up_day > 6 and any(
			if limit_up_day > 6 and any(
			'attribute' in d and d['attribute'] in data_cache.limit_up_type for d in
			k_line_data[1:3]) and current_volume <= k_line_data[0]['volume'] * 1.5:
			logger.info(
			logger_info(
			f"【不利】过于显著票且上日或上上涨停板当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，最新价: {current_price}，，90天内涨停天数：{limit_up_day}")
			elif k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger.info(f"【不利】昨日炸板！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger.info(f"【不利】昨日涨停！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger.info(f"【不利】昨日跌停！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger_info(f"【不利】昨日炸板！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger_info(f"【不利】昨日涨停！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger_info(f"【不利】昨日跌停！不买！！")
			return
			# 调用充分交易量函数
			sufficient_volume = basic_methods.sufficient_volume(current_volume, k_line_data[0]['volume'], today_growth)
			logger_info(
			f"【{k_line_data[0]['sec_name']}】当日当时量是否相对涨幅充足？===【{sufficient_volume}】！当时与昨日成交率占比:{(current_volume / k_line_data[0]['volume'])}%，当日当时总成交量：{round(current_volume / 10000, 2)}万，昨日的总成交量{round(k_line_data[0]['volume'] / 10000, 2)}万，当日当时涨幅：{today_growth}%。")
			# elif k_line_data[0]['attribute'] == 'up_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			# logger.info(f"【不利】昨日高开低走且放量下跌，不买！！")
			elif k_line_data[0]['attribute'] == 'down_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			logger.info(f"【不利】昨日低开低走且放量下跌，不买！！")
			elif throwing_pressure_position[0] is True:
			# logger_info(f"【不利】昨日高开低走且放量下跌，不买！！")
			if k_line_data[0]['attribute'] == 'down_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			logger_info(f"【不利】昨日低开低走且放量下跌，不买！！")
			return
			if throwing_pressure_position[0] is True:
			# 最近涨停日期：{k_line_data[limit_up_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】接近涨停大抛压价位近7日涨停过票且当前价和今日涨停价且当日量还不足涨停次日量的1.5倍！且次日最高价小于涨停最高价的1.02倍不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif throwing_pressure_position[1] is True:
			return
			if throwing_pressure_position[1] is True:
			# 最近涨停日期：{k_line_data[frying_plate_day_min_index]['bob']} ，炸板次日量{round(k_line_data[frying_plate_day_min_index - 1]['volume'], 2)}，
			logger.info(
			logger_info(
			f"【不利】接近炸板大抛压价位近7日炸板过票且当前价和今日涨停价且当日量还不足涨停次日量的1.5倍！且次日最高价小于炸板最高价的1.02倍不买！！，90天内涨停天数：{limit_up_day}")
			elif throwing_pressure_position[2] is True:
			return
			if throwing_pressure_position[2] is True:
			# 最近涨停日期：{k_line_data[limit_down_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】接近跌停大抛压价位[跌停日的最高价或最低价] 近7日跌停过票且当前价和今日涨停价且当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif (
			return
			if (
			free_market_value == 0 or free_market_value == 0.0) and free_market_value < 6:
			logger.info(
			logger_info(
			f"【不利】自由市值小于6亿！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			elif len(intersection_plate) > 0:
			logger.info(
			f"【不利】同概念只买一次，不买了，重复相交概念==={intersection_plate}")
			elif data_cache.have_plate_buy_times >= 3:
			logger.info(f"【不利】有概念买入已经 3 次了！不买了！！")
			elif len(data_cache.addition_position_symbols_set) >= 3:
			logger.info(f"【不利】当日已经买了3只票！不买了！！")
			elif now_time < data_cache.OPENING_TIME or now_time > data_cache.NOON_MARKET_TIME:
			logger.info(f"【不利】不在9:30-13:05时间内！不买！！")
			return
			if (free_market_value != 0 or free_market_value != 0.0) and free_market_value > 100 and L2_found_big_order is False:
			logger_info(
			f"【不利】自由市值大于100亿，且未发现大单！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			return
			if current_volume < k_line_data[0]['volume'] * ratios:
			logger_info(
			f"【不利】当日成交量小于昨日成交量的{ratios}倍！不买！！公司名称：{k_line_data[0]['sec_name']}，当日当时总成交量:{current_volume},最新价: {current_price}")
			return
			data_cache.willing_buy_list.append(k_line_data[0]['sec_name'])
			logger_info(f"当前有意购买：{k_line_data[0]['sec_name']}，有意购买列表：{data_cache.willing_buy_list}")
			willing_buy_times = basic_methods.count_willing_buy_times(k_line_data[0]['sec_name'])
			if data_cache.have_plate_buy_times >= 1 and willing_buy_times < 2:
			logger_info(
			f"【不利因素】有概念买入已经 1 次,且进入有意购买列表次数<2，不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			# return
			if len(intersection_plate) > 0:
			logger_info(
			f"【不利】同概念只买一次，不买了，公司名称：{k_line_data[0]['sec_name']}，重复相交概念==={intersection_plate}")
			return
			if data_cache.have_plate_buy_times >= 3:
			logger_info(
			f"【不利】有概念买入已经 3 次了！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			return
			if len(TodayBuyCodeManager().get_buy_codes()) >= 3:
			logger_info(
			f"【不利】当日已经买了3只票！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			return
			if now_time < data_cache.OPENING_TIME or now_time > data_cache.NOON_MARKET_TIME:
			logger_info(f"【不利】不在9:30-13:05时间内！不买！！")
			return
			logger_info(
			f"**********************************************【有概念有强度指标下单】**********************************************")
			logger_info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,瞬时量幅比：{last_volume_to_growth_ratio:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}")
			logger_info(
			f"大盘综合强度分数：{data_cache.real_time_market_strong}，理想交易行情分数==={data_cache.ideal_trading_market_score}分，设想的下单金额：{get_order_money()}")
			# 调用下单方法下单
			order_methods.buy_order_by_value(symbol,
			get_order_money(),
			k_line_data[0]['sec_name'],
			current_price)
			# 传给GUI显示
			purchased_stock_details = {
			"name": k_line_data[0]['sec_name'],
			"policy_name": "有概念有强度策略分支",
			"plate_name": list(limit_up_plate_included),
			"buy_time_trading_volume_ratio": (
			current_volume / k_line_data[0]['volume']),
			}
			data_cache.purchased_stocks_details_list.append(purchased_stock_details)
			logger_info(f"已成交股票详情列表：{data_cache.purchased_stocks_details_list} ")
			# 检测持仓代码集合中有无下单个股，才认为交易成功
			if symbol_code not in data_cache.position_symbols_set:
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易失败~持仓集合：{data_cache.position_symbols_set}")
			else:
			logger.info(
			f"**********************************************【有概念有强度指标下单】**********************************************")
			logger.info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}")
			logger.info(
			f"大盘综合强度分数：{data_cache.real_time_market_strong}，大盘指数情绪预期分数==={data_cache.index_trend_expectation_score}分，设想的下单金额：{data_cache.today_planned_order_amount}")
			# 调用下单方法下单
			order_methods.buy_order_by_value(symbol, data_cache.today_planned_order_amount,
			k_line_data[0]['sec_name'],
			current_price)
			# 查看一下该股有无大单
			L2_data_analysis.find_L2_big_order_of_code(symbol_code)
			# 检测持仓信息中有无下单个股且有该个股的当前持仓，只有当前持仓数量不为0时，才认为交易成功
			for i in data_cache.account_positions_dict:
			# print(i)
			if i['securityID'] == symbol_code:
			# print(i['currentPosition'])
			if i['currentPosition'] == 0:
			logger.info(f"【{i['securityName']}】交易失败~")
			else:
			# 将有概念买入次数自加1
			data_cache.have_plate_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(limit_up_plate_included_list)
			logger.info(f"【{i['securityName']}】交易成功！")



			# 将有概念买入次数自加1
			data_cache.have_plate_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(limit_up_plate_included_list)
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易成功！持仓集合：{data_cache.position_symbols_set}")
			# 有概念无强度视界
			if strength_list_have_it is False:
			logger.info(
			logger_info(
			f"【有概念无强度】未出现在板块强度大于2的列表中瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，当日当时涨幅：{today_growth}%。")
			if tick_growth >= 0.8:
			logger.info(
			logger_info(
			f"【有概念无强度有强拉】瞬时涨幅 > 0.8% ！瞬时涨幅：{round(tick_growth, 2)}%")
			if last_volume_to_growth_ratio > 0.8 and (
			free_market_value < 40 and current_price < 20):
			logger.info(
			logger_info(
			f"【不利】瞬时量幅比> 0.8 且 (小自由市值<40亿或最新价小于20元 )！，瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，自由市值：{free_market_value} 亿。")
			elif now_time <= datetime.time(9, 30, 5).strftime("%H:%M:%S"):
			logger.info(
			return
			if now_time <= datetime.time(9, 30, 5).strftime("%H:%M:%S"):
			logger_info(
			f"【不利】早盘第一个tick，瞬时涨幅计算恐有误，不买！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%。")
			elif now_time <= datetime.time(9, 35, 00).strftime("%H:%M:%S"):
			logger.info(
			return
			if now_time <= datetime.time(9, 35, 00).strftime("%H:%M:%S"):
			logger_info(
			f"【不利】早盘前5分钟，不做有概念无强度试验，不买！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%。")
			elif today_growth < 3:
			logger.info(
			return
			if today_growth < 3:
			logger_info(
			f"【不利】当日当时涨幅小于3%，信心不足，不太可能有强度，不买！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%。")
			elif limit_up_day < 1 and tick_growth < 1:
			logger.info(
			return
			if limit_up_day < 1 and tick_growth < 1:
			logger_info(
			f"【不利】冷票且瞬时涨幅小于 1 ！不买！！，瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，90天内涨停天数：{limit_up_day}")
			return
			# for d in k_line_data[1:3] 只检查k_line_data中的第二个和第三个元素
			elif limit_up_day > 6 and any(
			if limit_up_day > 6 and any(
			'attribute' in d and d['attribute'] in data_cache.limit_up_type
			for d in k_line_data[1:3]) and current_volume <= k_line_data[0][
			'volume'] * 1.5:
			logger.info(
			logger_info(
			f"【不利】过于显著票且上日或上上涨停板当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，最新价: {current_price}，，90天内涨停天数：{limit_up_day}")
			elif k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger.info(f"【不利】昨日炸板！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger.info(f"【不利】昨日涨停！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger.info(f"【不利】昨日跌停！不买！！")
			# elif k_line_data[0]['attribute'] == 'up_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			# logger.info(f"【不利】昨日高开低走且放量下跌，不买！！")
			elif k_line_data[0]['attribute'] == 'down_down' and k_line_data[0][
			return
			if k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger_info(f"【不利】昨日炸板！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger_info(f"【不利】昨日涨停！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger_info(f"【不利】昨日跌停！不买！！")
			return
			# 调用充分交易量函数
			sufficient_volume = basic_methods.sufficient_volume(current_volume, k_line_data[0]['volume'], today_growth)
			logger_info(
			f"【{k_line_data[0]['sec_name']}】当日当时量是否相对涨幅充足？===【{sufficient_volume}】！当时与昨日成交率占比:{(current_volume / k_line_data[0]['volume'])}%，当日当时总成交量：{round(current_volume / 10000, 2)}万，昨日的总成交量{round(k_line_data[0]['volume'] / 10000, 2)}万，当日当时涨幅：{today_growth}%。")
			if k_line_data[0]['attribute'] == 'up_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			logger_info(f"【不利】昨日高开低走且放量下跌，不买！！")
			return
			if k_line_data[0]['attribute'] == 'down_down' and k_line_data[0][
			'today_volume_shape'] == 'increases_down':
			logger.info(f"【不利】昨日低开低走且放量下跌，不买！！")
			elif throwing_pressure_position[0] is True:
			logger_info(f"【不利】昨日低开低走且放量下跌，不买！！")
			return
			if throwing_pressure_position[0] is True:
			# 最近涨停日期：{k_line_data[limit_up_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】接近涨停大抛压价位近7日涨停过票且当前价和今日涨停价且当日量还不足涨停次日量的1.5倍！且次日最高价小于涨停最高价的1.02倍不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif throwing_pressure_position[1] is True:
			return
			if throwing_pressure_position[1] is True:
			# 最近涨停日期：{k_line_data[frying_plate_day_min_index]['bob']} ，炸板次日量{round(k_line_data[frying_plate_day_min_index - 1]['volume'], 2)}，
			logger.info(
			logger_info(
			f"【不利】接近炸板大抛压价位近7日炸板过票且当前价和今日涨停价且当日量还不足涨停次日量的1.5倍！且次日最高价小于炸板最高价的1.02倍不买！！，90天内涨停天数：{limit_up_day}")
			elif throwing_pressure_position[2] is True:
			return
			if throwing_pressure_position[2] is True:
			# 最近涨停日期：{k_line_data[limit_down_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】接近跌停大抛压价位[跌停日的最高价或最低价] 近7日跌停过票且当前价和今日涨停价且当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif (
			return
			if (
			free_market_value == 0 or free_market_value == 0.0) and free_market_value < 6:
			logger.info(
			logger_info(
			f"【不利】自由市值小于6亿！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			elif len(intersection_plate) > 0:
			logger.info(
			f"【不利】同概念只买一次，不买了，重复相交概念==={intersection_plate}")
			elif data_cache.have_plate_buy_times >= 1:
			logger.info(f"【不利】有概念无强度买入已经1次了！不买了！！")
			elif len(data_cache.addition_position_symbols_set) >= 4:
			logger.info(f"【不利】当日已经买了3只票！不买了！！")
			elif now_time < data_cache.OPENING_TIME or now_time > data_cache.NOON_MARKET_TIME:
			logger.info(f"【不利】不在9:30-13:05时间内！不买！！")
			return
			if (free_market_value != 0 or free_market_value != 0.0) and free_market_value > 100 and L2_found_big_order is False:
			logger_info(
			f"【不利】自由市值大于100亿，且未发现大单！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			return
			if len(intersection_plate) > 0:
			logger_info(
			f"【不利】同概念只买一次，不买了，公司名称：{k_line_data[0]['sec_name']}，重复相交概念==={intersection_plate}")
			return
			if data_cache.have_plate_buy_times >= 1:
			logger_info(
			f"【不利】有概念无强度买入已经1次了！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			return
			if len(data_cache.addition_position_symbols_set) >= 4:
			logger_info(
			f"【不利】当日已经买了3只票！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			return
			if now_time < data_cache.OPENING_TIME or now_time > data_cache.NOON_MARKET_TIME:
			logger_info(f"【不利】不在9:30-13:05时间内！不买！！")
			return
			logger_info(
			f"**********************************************【有概念无强度指标下单】**********************************************")
			logger_info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,瞬时量幅比：{last_volume_to_growth_ratio:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}")
			# 传给GUI显示
			purchased_stock_details = {
			"name": k_line_data[0]['sec_name'],
			"policy_name": "有概念无强度策略分支",
			"plate_name": list(limit_up_plate_included),
			"buy_time_trading_volume_ratio": (
			current_volume / k_line_data[0]['volume']),
			}
			data_cache.purchased_stocks_details_list.append(purchased_stock_details)
			logger_info(
			f"已成交股票详情列表：{data_cache.purchased_stocks_details_list} ")
			# 检测持仓代码集合中有无下单个股，才认为交易成功
			if symbol_code not in data_cache.position_symbols_set:
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易失败~持仓集合：{data_cache.position_symbols_set}")
			else:
			logger.info(
			f"**********************************************【有概念无强度指标下单】**********************************************")
			logger.info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}")
			# 调用下单方法下单
			# order_methods.buy_order_by_value(symbol, 1000,
			# k_line_data[0]['sec_name'],
			# current_price)
			# # 将有概念买入次数自加1
			# data_cache.have_plate_buy_times += 1
			# # 将买入个股的当时概念添加到全局变量中存储
			# data_cache.bought_plate.extend(limit_up_plate_included_list)
			# # 查看一下该股有无大单
			L2_data_analysis.find_L2_big_order_of_code(symbol_code)
			# 检测持仓信息中有无下单个股且有该个股的当前持仓，只有当前持仓数量不为0时，才认为交易成功
			for i in data_cache.account_positions_dict:
			# print(i)
			if i['securityID'] == symbol_code:
			# print(i['currentPosition'])
			if i['currentPosition'] == 0:
			logger.info(f"【{i['securityName']}】交易失败~")
			else:
			# 将有概念买入次数自加1
			data_cache.have_plate_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(limit_up_plate_included_list)
			logger.info(f"【{i['securityName']}】交易成功！")
			# 将有概念买入次数自加1
			data_cache.have_plate_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(limit_up_plate_included_list)
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易成功！持仓集合：{data_cache.position_symbols_set}")

			'''
			无概念有强度视界
			'''
			if len(limit_up_plate_included) == 0 or limit_up_plate_included.issubset(
			check_plate_list) is True:
			# logger.info(f"【无概念】")
			# logger_info(f"【无概念或概念在屏蔽概念组中】")
			if strength_list_have_it is True:
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】--------------------------------------------------------------------------------------------------------[有强度视界]")
			logger.info(
			logger_info(
			f"【无概念有强度】出现在板块强度大于2的列表中！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，最新价: {current_price}，瞬时涨幅：{round(tick_growth, 2)}%，当日当时涨幅：{today_growth}%,当前时间：{current_created_at}。")
			logger.info(
			f"【强度数据】 == {data_cache.market_sift_plate_stock_dict}")
			# logger_info(
			# f"【强度数据】 == {data_cache.market_sift_plate_stock_dict}")
			strength_plate_set = set(strength_plate)
			intersection_plate = bought_plate_set.intersection(strength_plate_set)
			if len(intersection_plate) > 0:
			logger.info(f"重复相交强度==={intersection_plate}")
			logger_info(f"重复相交强度==={intersection_plate}")
			if last_volume_to_growth_ratio < 0.8:
			logger.info(
			f"【有强度有小量换大涨幅】瞬时量幅比< 0.8 ！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，最新价: {current_price}，瞬时涨幅：{round(tick_growth, 2)}%，当日当时涨幅：{today_growth}%,当前时间：{current_created_at}。")
			if tick_growth >= 0.8:
			logger.info(
			f"【有强度有小量换大涨幅有强拉】瞬时涨幅 > 0.8% ！瞬时涨幅：{round(tick_growth, 2)}%")
			logger_info(
			f"【有强度有小量换大涨幅】瞬时量幅比< 1 ！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，最新价: {current_price}，瞬时涨幅：{round(tick_growth, 2)}%，当日当时涨幅：{today_growth}%,当前时间：{current_created_at}。")
			if tick_growth >= 1 and today_growth >= 1:
			logger_info(
			f"【有强度有小量换大涨幅有强拉】瞬时涨幅 >= 1% 且当日当时涨幅 >=1！瞬时涨幅：{round(tick_growth, 2)}%, 当日当时涨幅：{round(today_growth, 2)}%")
			if limit_up_day < 1:
			logger.info(
			logger_info(
			f"【不利】冷票！不买！！，瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，90天内涨停天数：{limit_up_day}")
			return
			# for d in k_line_data[1:3] 只检查k_line_data中的第二个和第三个元素
			elif limit_up_day > 6 and any(
			if limit_up_day > 6 and any(
			'attribute' in d and d['attribute'] in data_cache.limit_up_type
			for d in k_line_data[1:3]) and current_volume <= k_line_data[0][
			'volume'] * 1.5:
			logger.info(
			for d in k_line_data[1:3]) and current_volume <= k_line_data[0]['volume'] * 1.5:
			logger_info(
			f"【不利】过于显著票且上日或上上涨停板当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger.info(f"【不利】昨日炸板！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger.info(f"【不利】昨日涨停！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger.info(f"【不利】昨日跌停！不买！！")
			# elif k_line_data[0]['attribute'] == 'up_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			# logger.info(
			return
			if k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger_info(f"【不利】昨日炸板！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger_info(f"【不利】昨日涨停！不买！！")
			return
			if k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger_info(f"【不利】昨日跌停！不买！！")
			return
			# 调用充分交易量函数
			sufficient_volume = basic_methods.sufficient_volume(current_volume, k_line_data[0]['volume'], today_growth)
			logger_info(
			f"【{k_line_data[0]['sec_name']}】当日当时量是否相对涨幅充足？===【{sufficient_volume}】！当时与昨日成交率占比:{(current_volume / k_line_data[0]['volume'])}%，当日当时总成交量：{round(current_volume / 10000, 2)}万，昨日的总成交量{round(k_line_data[0]['volume'] / 10000, 2)}万，当日当时涨幅：{today_growth}%。")
			# if k_line_data[0]['attribute'] == 'up_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			# logger_info(
			# f"【不利】昨日高开低走且放量下跌，不买！！")
			elif k_line_data[0]['attribute'] == 'down_down' and k_line_data[0][
			'today_volume_shape'] == 'increases_down':
			logger.info(
			f"【不利】昨日低开低走且放量下跌，不买！！")
			elif throwing_pressure_position[0] is True:
			# return
			if k_line_data[0]['attribute'] == 'down_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			logger_info(f"【不利】昨日低开低走且放量下跌，不买！！")
			return
			if throwing_pressure_position[0] is True:
			# 最近涨停日期：{k_line_data[limit_up_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】接近涨停大抛压价位近7日涨停过票且当前价和今日涨停价且当日量还不足涨停次日量的1.5倍！且次日最高价小于涨停最高价的1.02倍不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif throwing_pressure_position[1] is True:
			return
			if throwing_pressure_position[1] is True:
			# 最近涨停日期：{k_line_data[frying_plate_day_min_index]['bob']} ，炸板次日量{round(k_line_data[frying_plate_day_min_index - 1]['volume'], 2)}，
			logger.info(
			logger_info(
			f"【不利】接近炸板大抛压价位近7日炸板过票且当前价和今日涨停价且当日量还不足涨停次日量的1.5倍！且次日最高价小于炸板最高价的1.02倍不买！！90天内涨停天数：{limit_up_day}")
			elif throwing_pressure_position[2] is True:
			return
			if throwing_pressure_position[2] is True:
			# 最近涨停日期：{k_line_data[limit_down_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】接近跌停大抛压价位[跌停日的最高价或最低价] 近7日跌停过票且当前价和今日涨停价且当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，，90天内涨停天数：{limit_up_day}")
			elif (
			free_market_value == 0 or free_market_value == 0.0) and free_market_value < 6:
			logger.info(
			return
			if (free_market_value == 0 or free_market_value == 0.0) and free_market_value < 6:
			logger_info(
			f"【不利】自由市值小于6亿！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			elif data_cache.have_strength_buy_times >= 1:
			logger.info(f"【不利】有强度买入 1 次了！不买了！！")
			elif len(data_cache.addition_position_symbols_set) >= 3:
			logger.info(f"【不利】当日已经买了3只票！不买了！！")
			elif now_time < data_cache.OPENING_TIME or now_time > data_cache.NOON_MARKET_TIME:
			logger.info(f"【不利】不在9:30-13:05时间内！不买！！")
			return
			# if have_leading_increase is False:
			# logger_info(
			# f"【不利】有强度的板块中没有发现领涨次数！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			# return
			if (free_market_value != 0 or free_market_value != 0.0) and free_market_value > 100 and L2_found_big_order is False:
			logger_info(
			f"【不利】自由市值大于100亿，且未发现大单！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			return
			if data_cache.have_strength_buy_times >= 1:
			logger_info(
			f"【不利】有强度买入 1 次了！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			return
			if len(TodayBuyCodeManager().get_buy_codes()) >= 3:
			logger_info(
			f"【不利】当日已经买了3只票！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			return
			if now_time < data_cache.OPENING_TIME or now_time > data_cache.NOON_MARKET_TIME:
			logger_info(f"【不利】不在9:30-13:05时间内！不买！！")
			return
			logger_info(
			f"**********************************************【有强度有强拉指标下单】**********************************************")
			logger_info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,瞬时量幅比：{last_volume_to_growth_ratio:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}") # 输出当前价格和3秒涨幅信息
			logger_info(
			f"大盘综合强度分数：{data_cache.real_time_market_strong}，理想交易行情分数==={data_cache.ideal_trading_market_score}分，设想的下单金额：{get_order_money()}")
			# 调用下单方法下单
			order_methods.buy_order_by_value(symbol,
			get_order_money(),
			k_line_data[0]['sec_name'],
			current_price)
			# 传给GUI显示
			purchased_stock_details = {
			"name": k_line_data[0]['sec_name'],
			"policy_name": "无概念有强度策略分支",
			"plate_name": list(strength_plate),
			"buy_time_trading_volume_ratio": (
			current_volume / k_line_data[0]['volume']),
			}
			data_cache.purchased_stocks_details_list.append(
			purchased_stock_details)
			logger_info(
			f"已成交股票详情列表：{data_cache.purchased_stocks_details_list} ")
			# 检测持仓代码集合中有无下单个股，才认为交易成功
			if symbol_code not in data_cache.position_symbols_set:
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易失败~持仓集合：{data_cache.position_symbols_set}")
			else:
			logger.info(
			f"**********************************************【有强度有强拉指标下单】**********************************************")
			logger.info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}") # 输出当前价格和3秒涨幅信息
			logger.info(
			f"大盘综合强度分数：{data_cache.real_time_market_strong}，大盘指数情绪预期分数==={data_cache.index_trend_expectation_score}分，设想的下单金额：{data_cache.today_planned_order_amount}")
			# 调用下单方法下单
			order_methods.buy_order_by_value(symbol,
			data_cache.today_planned_order_amount,
			k_line_data[0]['sec_name'],
			current_price)
			# # 将有强度买入次数自加1
			# data_cache.have_strength_buy_times += 1
			# # 将买入个股的当时概念添加到全局变量中存储
			# data_cache.bought_plate.extend(strength_plate)
			# 查看一下该股有无大单
			L2_data_analysis.find_L2_big_order_of_code(symbol_code)
			# 检测持仓信息中有无下单个股且有该个股的当前持仓，只有当前持仓数量不为0时，才认为交易成功
			for i in data_cache.account_positions_dict:
			# print(i)
			if i['securityID'] == symbol_code:
			# print(i['currentPosition'])
			if i['currentPosition'] == 0:
			logger.info(f"【{i['securityName']}】交易失败~")
			else:
			# 将有概念买入次数自加1
			data_cache.have_strength_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(strength_plate)
			logger.info(f"【{i['securityName']}】交易成功！")
			# 将有概念买入次数自加1
			data_cache.have_strength_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(strength_plate)
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易成功！持仓集合：{data_cache.position_symbols_set}")

			'''
			无概念无强度有小量换大涨幅度视界
			'''
			if len(limit_up_plate_included) == 0 or limit_up_plate_included.issubset(
			check_plate_list) is True:
			# logger.info(f"【无概念】")
			# logger_info(f"【无概念】")
			if strength_list_have_it is False:
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】--------------------------------------------------------------------------------------------------------[小量大涨幅视界]")
			logger.info(
			logger_info(
			f"【无概念无强度】未出现在板块强度大于2的列表中！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，最新价: {current_price}，瞬时涨幅：{round(tick_growth, 2)}%，当日当时涨幅：{today_growth}%。")
			# logger.info(
			# logger_info(
			# f"【强度数据】 == {data_cache.market_sift_plate_stock_dict}")
			if last_volume_to_growth_ratio < 0.8:
			logger.info(
			logger_info(
			f"【无概念无强度有小量换大涨幅】瞬时量幅比< 0.8 ！瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%。")
			if tick_growth >= 0.8:
			logger.info(
			logger_info(
			f"【无概念无强度有小量换大涨幅有强拉】瞬时涨幅 > 0.8% ！瞬时涨幅：{round(tick_growth, 2)}%")
			if current_volume < k_line_data[0]['volume'] * ratios:
			logger.info(
			logger_info(
			f"【不利】今日成交量 < 昨日的{ratios}倍，不买！！公司名称：{k_line_data[0]['sec_name']}，今日目前成交量为昨日的{round(current_volume / k_line_data[0]['volume'], 2)}")
			elif buying_strong is not True and current_volume <= k_line_data[0]['volume'] * ratios and now_time > data_cache.MORN_MARKET_TIME:
			logger.info(
			logger_info(
			f"【不利】买一量小于卖一量且挂买总量小于挂卖总量且当日量不足 (9:35后实施)！不买！！公司名称：{k_line_data[0]['sec_name']}，自由市值：{free_market_value} 亿,最新价: {current_price}")
			# logger.info(
			# logger_info(
			# f"目前获取的精选板块股票强度数据 == {data_cache.market_sift_plate_stock_dict}")
			elif current_high - current_price > 0.05:
			logger.info(
			logger_info(
			f"【不利】当前最新价小于今日最高价！不买！！公司名称：{k_line_data[0]['sec_name']}，，最新价: {current_price}，，当日最高价：{current_high}")
			elif limit_up_day < 1 and current_volume <= k_line_data[0][
			'volume'] * 2:
			logger.info(
			logger_info(
			f"【不利】冷票且（瞬时涨幅小于1 或瞬时量与昨总量比与瞬时涨幅的比值大于0.8）且当日量还不足昨日量的1.5倍！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}，，90天内涨停天数：{limit_up_day}")
			# for d in k_line_data[1:3] 只检查k_line_data中的第二个和第三个元素
			elif limit_up_day > 6 and any(
			@@ -588,164 +731,155 @@
			for d in
			k_line_data[1:3]) and current_volume <= k_line_data[0][
			'volume'] * 1.5:
			logger.info(
			logger_info(
			f"【不利】过于显著票且上日或上上涨停板当日量还不足昨日量的1.5倍！不买！！公司名称：{k_line_data[0]['sec_name']}，今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，最新价: {current_price}，，90天内涨停天数：{limit_up_day}")
			elif k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			logger.info(f"【不利】昨日炸板！不买！！")
			logger_info(f"【不利】昨日炸板！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_up_type:
			logger.info(f"【不利】昨日涨停！不买！！")
			logger_info(f"【不利】昨日涨停！不买！！")
			elif k_line_data[0]['attribute'] in data_cache.limit_down_type:
			logger.info(f"【不利】昨日跌停！不买！！")
			logger_info(f"【不利】昨日跌停！不买！！")
			# elif k_line_data[0]['attribute'] == 'up_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			# logger.info(f"【不利】昨日高开低走且放量下跌，不买！！公司名称：{k_line_data[0]['sec_name']}")
			elif k_line_data[0]['attribute'] == 'down_down' and k_line_data[0]['today_volume_shape'] == 'increases_down':
			logger.info(
			# logger_info(f"【不利】昨日高开低走且放量下跌，不买！！公司名称：{k_line_data[0]['sec_name']}")
			elif k_line_data[0]['attribute'] == 'down_down' and k_line_data[0][
			'today_volume_shape'] == 'increases_down':
			logger_info(
			f"【不利】昨日低开低走且放量下跌，不买！！公司名称：{k_line_data[0]['sec_name']}")
			elif throwing_pressure_position[0] is True:
			# 最近涨停日期：{k_line_data[limit_up_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】近7日涨停过票且当前价和今日涨停价接近涨停大抛压价位且当日量还不足涨停次日量的1.5倍！且次日最高价小于涨停最高价的1.02倍不买！！公司名称：{k_line_data[0]['sec_name']}，今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，最新价: {current_price}")
			elif throwing_pressure_position[1] is True:
			# 最近涨停日期：{k_line_data[frying_plate_day_min_index]['bob']} ，炸板次日量{round(k_line_data[frying_plate_day_min_index - 1]['volume'], 2)}，
			logger.info(
			logger_info(
			f"【不利】近7日炸板过票且当前价和今日涨停价接近炸板大抛压价位且当日量还不足涨停次日量的1.5倍！且次日最高价小于炸板最高价的1.02倍不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			elif throwing_pressure_position[2] is True:
			# 最近涨停日期：{k_line_data[limit_down_day_min_index]['bob']} ，
			logger.info(
			logger_info(
			f"【不利】近7日跌停过票且当前价和今日涨停价接近跌停大抛压价位[跌停日的最高价或最低价] 且当日量还不足昨日量的1.5倍！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			elif (
			free_market_value == 0 or free_market_value == 0.0) and free_market_value < 6:
			logger.info(
			logger_info(
			f"【不利】自由市值小于6亿！不买！！公司名称：{k_line_data[0]['sec_name']}，最新价: {current_price}")
			elif data_cache.have_small_turn_large_buy_times >= 1:
			logger.info(f"【不利】有小量换大涨幅买入已经 1 次了！不买了！！")
			logger_info(
			f"【不利】有小量换大涨幅买入已经 1 次了！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			elif len(data_cache.addition_position_symbols_set) >= 4:
			logger.info(
			f"【不利】当日已经买了4只票！不买了！！")
			logger_info(
			f"【不利】当日已经买了4只票！不买了！！公司名称：{k_line_data[0]['sec_name']}，")
			elif (
			data_cache.MORN_MARKET_TIME < now_time < data_cache.NOON_MARKET_TIME) is False or free_market_value < 100 or (
			today_open_growth < 5 or today_growth < 5):
			logger.info(
			logger_info(
			f"【不利】不在9:35-13:05时间内！或自由市值小于100亿！或开盘涨幅或当日当时涨幅都小于5%！不买！！")
			else:
			logger.info(
			logger_info(
			f"**********************************************【小量大涨幅指标】**********************************************")
			logger.info(
			logger_info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}") # 输出当前价格和3秒涨幅信息
			logger.info(
			logger_info(
			f"目前获取的精选板块股票强度数据 == {data_cache.market_sift_plate_stock_dict}")
			# buying_ratio = basic_methods.maximum_buying_ratio(len(data_cache.addition_position_symbols_set))
			# 调用下单方法下单
			order_methods.buy_order_by_value(symbol, 1000,
			k_line_data[0]['sec_name'],
			current_price)
			# # 将有小量换大涨幅买入次数自加1
			# data_cache.have_small_turn_large_buy_times += 1
			# # 将买入个股的当时概念添加到全局变量中存储
			# data_cache.bought_plate.append(k_line_data[0]['sec_name'])
			# 查看一下该股有无大单
			L2_data_analysis.find_L2_big_order_of_code(symbol_code)
			# 检测持仓信息中有无下单个股且有该个股的当前持仓，只有当前持仓数量不为0时，才认为交易成功
			for i in data_cache.account_positions_dict:
			# print(i)
			if i['securityID'] == symbol_code:
			# print(i['currentPosition'])
			if i['currentPosition'] == 0:
			logger.info(f"【{i['securityName']}】交易失败~")
			else:
			# 将有概念买入次数自加1
			data_cache.have_small_turn_large_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(k_line_data[0]['sec_name'])
			logger.info(f"【{i['securityName']}】交易成功！")
			# 检测持仓代码集合中有无下单个股，才认为交易成功
			if symbol_code not in data_cache.position_symbols_set:
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易失败~持仓集合：{data_cache.position_symbols_set}")
			else:
			# 将有概念买入次数自加1
			data_cache.have_small_turn_large_buy_times += 1
			# 将买入个股的当时概念添加到全局变量中存储
			data_cache.bought_plate.extend(k_line_data[0]['sec_name'])
			logger_info(
			f"【{k_line_data[0]['sec_name']}】交易成功！持仓集合：{data_cache.position_symbols_set}")
			'''
			昨日涨停视界,今日连板预期盯视界
			'''
			if k_line_data[0]['attribute'] in data_cache.limit_up_type:
			# logger.info(f"昨日涨停")
			if k_line_data[1]['attribute'] not in data_cache.limit_up_type and k_line_data[2]['attribute'] not in data_cache.limit_up_type:
			# logger.info(f"前日大前日未涨停")
			# logger_info(f"昨日涨停")
			if k_line_data[1]['attribute'] not in data_cache.limit_up_type and k_line_data[2][
			'attribute'] not in data_cache.limit_up_type:
			# logger_info(f"前日大前日未涨停")
			if today_open_growth > 1:
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】--------------------------------------------------------------------------------------------------------[昨日涨停视界]")
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】,瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，最新价: {current_price}，，当日当时涨幅：{today_growth}%,当前时间：{current_created_at}")
			logger.info(f"昨日首板涨停，当日中等以上高开 {today_open_growth}% ！")
			logger_info(f"昨日首板涨停，当日中等以上高开 {today_open_growth}% ！")
			if limit_up_day > 6 and any(
			'attribute' in d and d['attribute'] in data_cache.limit_up_type for
			d in
			k_line_data[1:3]) and current_volume <= k_line_data[0][
			d in k_line_data[1:3]) and current_volume <= k_line_data[0][
			'volume'] * 1.5:
			logger.info(
			logger_info(
			f"【不利】过于显著票且前日或上前日涨停板当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif len(data_cache.addition_position_symbols_set) >= 3:
			logger.info(
			elif len(TodayBuyCodeManager().get_buy_codes()) >= 3:
			logger_info(
			f"【不利】当日已经买了3只票！不买！！")
			elif now_time < data_cache.OPENING_TIME or now_time > data_cache.MORN_MARKET_TIME:
			logger.info(
			logger_info(
			f"【不利】不在9:30-9:35时间内！不买！！")
			else:
			# logger.info(
			# logger_info(
			# f"**********************************************【昨日首板指标下单】**********************************************")
			logger.info(
			logger_info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}") # 输出当前价格和3秒涨幅信息
			# order_methods.buy_order_by_value(symbol, 10000,k_line_data[0]['sec_name'],today_limit_up_price)
			logger.info(f"昨日首版涨停，今日高开5%！考虑下叉")
			logger_info(f"昨日首版涨停，今日高开5%！考虑下叉")
			'''
			昨日炸板,今日涨停预期盯视界
			'''
			if k_line_data[0]['attribute'] in data_cache.frying_plate_type:
			# logger.info(
			# logger_info(
			# f"昨日炸板！公司名称：{k_line_data[0]['sec_name']},当前时间：{current_data['created_at']}")
			if k_line_data[0]['attribute'] == 'first_frying_plate':
			# logger.info(
			# logger_info(
			# f"昨日首炸板！公司名称：{k_line_data[0]['sec_name']},当前时间：{current_data['created_at']}")
			if today_open_growth > 4:
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】--------------------------------------------------------------------------------------------------------[昨日首炸板视界]")
			logger.info(
			logger_info(
			f"【{k_line_data[0]['sec_name']}】,瞬时量幅比：{round(last_volume_to_growth_ratio, 2)}%，最新价: {current_price}，，当日当时涨幅：{today_growth}%,当前时间：{current_created_at}")
			logger.info(f"昨日首板炸板，当日中等以上高开 {today_open_growth}% ！")
			logger_info(f"昨日首板炸板，当日中等以上高开 {today_open_growth}% ！")
			# 在买票预设时间段视界
			if limit_up_day > 6 and any(
			'attribute' in d and d['attribute'] in data_cache.limit_up_type for d in k_line_data[1:3]) and current_volume <= k_line_data[0]['volume'] * 1.5:
			logger.info(
			'attribute' in d and d['attribute'] in data_cache.limit_up_type for
			d in k_line_data[1:3]) and current_volume <= k_line_data[0][
			'volume'] * 1.5:
			logger_info(
			f"【不利】过于显著票且上日或上上涨停板当日量还不足昨日量的1.5倍！不买！！今日当时成交量为昨日等比量的{round(current_volume / k_line_data[0]['volume'], 2)}倍，90天内涨停天数：{limit_up_day}")
			elif len(data_cache.addition_position_symbols_set) >= 3:
			logger.info(
			elif len(TodayBuyCodeManager().get_buy_codes()) >= 3:
			logger_info(
			f"【不利】当日已经买了3只票！不买！！")
			elif now_time < data_cache.OPENING_TIME or now_time > data_cache.MORN_MARKET_TIME:
			logger.info(
			logger_info(
			f"【不利】不在9:30-9:05时间内！不买！！")
			else:
			# logger.info(
			# logger_info(
			# f"**********************************************【昨日首炸板指标下单】**********************************************")
			logger.info(
			logger_info(
			f"最新价: {current_price}, 当日最高价：{current_high},瞬时涨幅: {tick_growth:.2f}%,当日当时涨幅：{today_growth}%，公司名称：{k_line_data[0]['sec_name']},当前时间：{current_created_at},低于水位线：{deep_low:.2f},交易量今日与昨日的比例{round(current_volume / k_line_data[0]['volume'], 2)}") # 输出当前价格和3秒涨幅信息
			# order_methods.buy_order_by_value(symbol, 10000,k_line_data[0]['sec_name'],today_limit_up_price)
			logger.info(f"昨日首版炸板，今日高开5%！考虑下叉")
			logger_info(f"昨日首版炸板，今日高开5%！考虑下叉")
			'''
			昨日跌停，今日涨停预期盯视界
			'''
			if k_line_data[0]['attribute'] in data_cache.limit_down_type:
			# logger.info(
			# logger_info(
			# f"昨日跌停！公司名称：{k_line_data[0]['sec_name']},当前时间：{current_data['created_at']}")
			pass
			else:
			logger.info(
			logger_info(
			f"当前高位风险或其他二次近前高等风险，不买！公司名称：【{k_line_data[0]['sec_name']}】")
			else:
			logger.info(
			logger_info(
			f"当日当时涨幅不在预设范围，不买！公司名称：【{k_line_data[0]['sec_name']}】，当日当时涨幅：{round(today_growth, 2)}%")
			else:
			logger.info(
			logger_info(
			f"当日最低跌幅低于 -3% ，不买！公司名称：【{k_line_data[0]['sec_name']}】，当日当时最低价：{current_low} 当日当时最大跌幅：{deep_low} ，当日当时最新价：{current_price}，买五档：{current_quotes_buy}，K线昨收价{k_line_data[0]['close']}")
			else:
			logger.info(f"已持仓，不买！公司名称：【{k_line_data[0]['sec_name']}】")
			logger_info(f"已持仓，不买！公司名称：【{k_line_data[0]['sec_name']}】")
			# 以下部分主要计算整体的花费时间
			# 将current_created_at转换为datetime对象，这里假设是今天的日期
			# 注意：这里使用了datetime.now()来获取当前日期，但你可以根据需要调整
			created_at = datetime.datetime.strptime(tool.get_now_date_str() + " " + current_created_at,
			created_at = datetime.datetime.strptime(data_cache.DataCache().today_date + " " + current_created_at,
			"%Y-%m-%d %H:%M:%S").timestamp()
			# print(f"created_at===={created_at}")
			# print(f"created_at type===={type(created_at)}")
			@@ -753,19 +887,18 @@
			# print(f"now_end===={now_end}")
			# print(f"now_end type===={type(now_end)}")
			now_start_to_end = abs(created_at - now_end)
			logger.info(f"获取到判断花费==={round(now_start_to_end,2)} 秒")
			logger_info(f"获取到判断花费==={round(now_start_to_end, 2)} 秒")
			# print(f" now_end=={now_end} created_at=={created_at}")
			# 设定一个时间阈值（比如9秒）
			threshold_4 = datetime.timedelta(seconds=4).total_seconds()
			if now_start_to_end > threshold_4:
			logger.info(f"获取到判断花费大于4秒啦！！！")
			logger_info(f"获取到判断花费大于4秒啦！！！")
			threshold_6 = datetime.timedelta(seconds=6).total_seconds()
			if now_start_to_end > threshold_6:
			logger.info(f"获取到判断花费大于6秒啦！！！")
			logger.info(
			logger_info(f"获取到判断花费大于6秒啦！！！")
			logger_info(
			f"完成时间======================================{tool.to_time_str(now_end)}======================================")
			else:
			pass
			# 如果K线数据为空，则不进入后续判断
			# print(f"代码：{symbol}，k_line_data is None，未get到该股的K线属性，或为新股、次新股第一天的时候确实没有历史K线")