| | |
| | | from l2 import l2_log |
| | | from l2.huaxin import l2_huaxin_util |
| | | from l2.l2_data_util import local_today_sellno_map, local_today_datas |
| | | from l2.place_order_single_data_manager import L2TradeSingleManager |
| | | from l2.place_order_single_data_manager import L2TradeSingleDataProcessor, L2TradeSingleDataManager |
| | | |
| | | from log_module import async_log_util |
| | | from log_module.log import hx_logger_l2_transaction_desc, hx_logger_l2_transaction_sell_order |
| | |
| | | # 保存最近成交的价格 |
| | | __latest_trade_price_dict = {} |
| | | |
| | | __last_trade_data_dict = {} |
| | | |
| | | # 返回最近1s的大单卖:(总卖金额,[(卖单号,总手数,价格,('开始时间',买单号),('结束时间',买单号)),...]) |
| | | @classmethod |
| | | def add_transaction_datas(cls, code, datas, limit_up_price=None): |
| | |
| | | |
| | | for d in datas: |
| | | # 获取当前是否为主动买 |
| | | _is_active_sell = is_active_sell(d[7], d[6]) |
| | | if not _is_active_sell and d[1] == limit_up_price: |
| | | # 被动涨停卖,这个卖的订单是否在最近的涨停卖列表中 |
| | | L2TradeSingleManager.process_passive_limit_up_sell_data(d) |
| | | try: |
| | | _is_active_sell = is_active_sell(d[7], d[6]) |
| | | if not _is_active_sell and d[1] == limit_up_price: |
| | | # 被动涨停卖,这个卖的订单是否在最近的涨停卖列表中 |
| | | L2TradeSingleDataProcessor.process_passive_limit_up_sell_data(d) |
| | | |
| | | if not _is_active_sell: |
| | | continue |
| | | cls.__latest_sell_order_info_list_dict[code].append(d) |
| | | if code not in cls.__latest_sell_order_dict: |
| | | cls.__latest_sell_order_dict[code] = [d[7], d[2], d[1], (d[3], d[6]), (d[3], d[6])] |
| | | else: |
| | | if cls.__latest_sell_order_dict[code][0] == d[7]: |
| | | cls.__latest_sell_order_dict[code][1] += d[2] |
| | | cls.__latest_sell_order_dict[code][2] = d[1] |
| | | cls.__latest_sell_order_dict[code][4] = (d[3], d[6]) |
| | | else: |
| | | info = cls.__latest_sell_order_dict[code] |
| | | if not _is_active_sell: |
| | | continue |
| | | |
| | | # 上个卖单成交完成 |
| | | # 封存数据,计算新起点 |
| | | # 大于50w的卖单才会保存 |
| | | # 大于50w加入卖单 |
| | | money = info[1] * info[2] |
| | | if money >= 500000: |
| | | # 订单里面有成交是主动卖就算主动卖 |
| | | l2_log.info(code, hx_logger_l2_transaction_sell_order, |
| | | f"{cls.__latest_sell_order_dict[code]}") |
| | | cls.__big_sell_order_ids_dict[code].add(info[0]) |
| | | cls.__big_sell_order_info_dict[code][info[0]] = info |
| | | cls.__big_sell_order_info_list_dict[code].append(info) |
| | | # 只保留10w以上的单 |
| | | if money > 100000: |
| | | cls.__latest_all_sell_orders_dict[code].append(info) |
| | | |
| | | # 判断是否是涨停被动变主动 |
| | | last_trade_data = cls.__last_trade_data_dict.get(code) |
| | | if last_trade_data and not is_active_sell(last_trade_data[7], last_trade_data[6]) and last_trade_data[ |
| | | 1] == limit_up_price: |
| | | if d[1] == limit_up_price: |
| | | # 涨停被动变主动 |
| | | L2TradeSingleDataManager.set_sell_passive_to_active_datas(code, last_trade_data, d) |
| | | cls.__latest_sell_order_info_list_dict[code].append(d) |
| | | if code not in cls.__latest_sell_order_dict: |
| | | cls.__latest_sell_order_dict[code] = [d[7], d[2], d[1], (d[3], d[6]), (d[3], d[6])] |
| | | else: |
| | | if cls.__latest_sell_order_dict[code][0] == d[7]: |
| | | cls.__latest_sell_order_dict[code][1] += d[2] |
| | | cls.__latest_sell_order_dict[code][2] = d[1] |
| | | cls.__latest_sell_order_dict[code][4] = (d[3], d[6]) |
| | | else: |
| | | info = cls.__latest_sell_order_dict[code] |
| | | |
| | | # 上个卖单成交完成 |
| | | # 封存数据,计算新起点 |
| | | # 大于50w的卖单才会保存 |
| | | # 大于50w加入卖单 |
| | | money = info[1] * info[2] |
| | | if money >= 500000: |
| | | # 订单里面有成交是主动卖就算主动卖 |
| | | l2_log.info(code, hx_logger_l2_transaction_sell_order, |
| | | f"{cls.__latest_sell_order_dict[code]}") |
| | | cls.__big_sell_order_ids_dict[code].add(info[0]) |
| | | cls.__big_sell_order_info_dict[code][info[0]] = info |
| | | cls.__big_sell_order_info_list_dict[code].append(info) |
| | | # 只保留10w以上的单 |
| | | if money > 100000: |
| | | cls.__latest_all_sell_orders_dict[code].append(info) |
| | | |
| | | cls.__latest_sell_order_dict[code] = [d[7], d[2], d[1], (d[3], d[6]), (d[3], d[6])] |
| | | finally: |
| | | cls.__last_trade_data_dict[code] = d |
| | | |
| | | latest_time = l2_huaxin_util.convert_time(datas[-1][3], with_ms=True) |
| | | min_time = tool.trade_time_add_millionsecond(latest_time, -1000) |
| | | min_time_int = int(min_time.replace(":", "").replace(".", "")) |