| | |
| | | code_volumn_manager |
| | | from code_attribute.code_data_util import ZYLTGBUtil |
| | | from code_attribute.code_nature_analyse import HighIncreaseCodeManager |
| | | from code_attribute.gpcode_manager import WantBuyCodesManager |
| | | from log_module.log import logger_first_code_record, logger_l2_codes_subscript |
| | | from third_data.code_plate_key_manager import CodesHisReasonAndBlocksManager |
| | | from third_data.history_k_data_util import HistoryKDatasUtils |
| | | from third_data.history_k_data_util import HistoryKDatasUtils, JueJinApi |
| | | from ths import l2_code_operate |
| | | from trade import trade_data_manager, l2_trade_util |
| | | from utils import global_util, tool, init_data_util |
| | | from settings.trade_setting import MarketSituationManager |
| | | from utils import global_util, tool, init_data_util, buy_condition_util |
| | | |
| | | __CodesPlateKeysManager = CodesHisReasonAndBlocksManager() |
| | | |
| | | |
| | | def __is_normal_in_5d(code): |
| | | """ |
| | | 最近5天是否处于正常状态 |
| | | @param code: |
| | | @return: |
| | | """ |
| | | now_day = tool.get_now_date_str() |
| | | results = JueJinApi.get_history_instruments(JueJinApi.get_juejin_code_list_with_prefix([code]), |
| | | tool.date_sub(now_day, 30), tool.date_sub(now_day, 1)) |
| | | results = results[-5:] |
| | | normal = True |
| | | for r in results: |
| | | if r["sec_level"] != 1: |
| | | normal = False |
| | | break |
| | | return normal |
| | | |
| | | |
| | | def process_first_codes_datas(dataList, request_id=None): |
| | |
| | | continue |
| | | try: |
| | | volumes_data = init_data_util.get_volumns_by_code(code, 150) |
| | | volumes = init_data_util.parse_max_volume(volumes_data[:90], |
| | | code_nature_analyse.is_new_top( |
| | | limit_up_price, |
| | | volumes_data[:90]) or code_nature_analyse.is_near_top( |
| | | volumes = init_data_util.parse_max_volume(code, volumes_data[:90], |
| | | code_nature_analyse.is_new_top(code, |
| | | limit_up_price, |
| | | volumes_data[ |
| | | :90]) or code_nature_analyse.is_near_top( |
| | | code, |
| | | limit_up_price, |
| | | volumes_data[:90])) |
| | | logger_first_code_record.info("{} 获取到首板60天最大量:{}", code, volumes) |
| | | code_volumn_manager.set_histry_volumn(code, volumes[0], volumes[1], volumes[2]) |
| | | code_volumn_manager.set_histry_volumn(code, volumes[0], volumes[1], volumes[2], volumes[3]) |
| | | |
| | | # 保存K线形态 |
| | | k_format = code_nature_analyse.get_k_format(limit_up_price, volumes_data) |
| | | k_format = code_nature_analyse.get_k_format(code, limit_up_price, volumes_data) |
| | | code_nature_analyse.CodeNatureRecordManager().save_k_format(code, k_format) |
| | | |
| | | if code_nature_analyse.is_up_too_high_in_10d_with_limit_up(volumes_data): |
| | | # 是否具有辨识度 |
| | | is_special = True if k_format and k_format[8][0] else False |
| | | if not WantBuyCodesManager().is_in_cache(code): |
| | | if not is_special: |
| | | situation = MarketSituationManager().get_situation_cache() |
| | | zylt_threshold_as_yi = buy_condition_util.get_zyltgb_threshold(situation) |
| | | if global_util.zyltgb_map.get(code) and global_util.zyltgb_map.get(code) > zylt_threshold_as_yi[ |
| | | 1] * 100000000: |
| | | l2_trade_util.forbidden_trade(code, |
| | | f"无辨识度,自由流通市值({global_util.zyltgb_map.get(code) // 100000000})>{zylt_threshold_as_yi[1]}亿") |
| | | continue |
| | | elif limit_up_price and float(limit_up_price) >= 50: |
| | | l2_trade_util.forbidden_trade(code, |
| | | f"无辨识度,涨停价({limit_up_price})>50") |
| | | continue |
| | | if code_nature_analyse.is_price_too_high_in_days(code, volumes_data, limit_up_price)[0]: |
| | | # 判断是否太高 |
| | | l2_trade_util.forbidden_trade(code, "6天内股价长得太高") |
| | | continue |
| | | pass |
| | | |
| | | if code_nature_analyse.is_continue_limit_up_not_enough_fall_dwon(code, volumes_data): |
| | | # 判断是否太高 |
| | | l2_trade_util.forbidden_trade(code, "回踩不够") |
| | | continue |
| | | |
| | | if not __is_normal_in_5d(code): |
| | | l2_trade_util.forbidden_trade(code, "最近5天有ST/非正常状态") |
| | | continue |
| | | |
| | | if code_nature_analyse.is_up_too_high_in_10d_with_limit_up(code, volumes_data): |
| | | # 判断是否太高 |
| | | # l2_trade_util.forbidden_trade(code, "股价长得太高(5天内有3个涨停)") |
| | | HighIncreaseCodeManager().add_code(code) |
| | | |
| | | if code_nature_analyse.is_up_too_high_in_120d(volumes_data): |
| | | if code_nature_analyse.is_up_too_high_in_120d(code, volumes_data): |
| | | # 判断是否太高 |
| | | # l2_trade_util.forbidden_trade(code, "120天内股价长得太高") |
| | | # HighIncreaseCodeManager().add_code(code) |
| | | pass |
| | | |
| | | if code_nature_analyse.is_price_too_high_in_days(volumes_data, limit_up_price): |
| | | # 判断是否太高 |
| | | l2_trade_util.forbidden_trade(code, "6天内股价长得太高") |
| | | |
| | | if code_nature_analyse.is_continue_limit_up_not_enough_fall_dwon(volumes_data): |
| | | # 判断是否太高 |
| | | l2_trade_util.forbidden_trade(code, "回踩不够") |
| | | |
| | | if code_nature_analyse.is_have_latest_max_volume(volumes_data, 2): |
| | | if code_nature_analyse.is_have_latest_max_volume(code, volumes_data, 2): |
| | | # 最近2天是否是最高量 |
| | | code_nature_analyse.LatestMaxVolumeManager().set_has_latest_max_volume(code) |
| | | |
| | |
| | | l2_code_operate.L2CodeOperate.get_instance().add_operate(0, lc, "代码被移除") |
| | | # 保存现价 |
| | | if dataList: |
| | | situation = MarketSituationManager().get_situation_cache() |
| | | zyltgb_thresholds = buy_condition_util.get_zyltgb_threshold(situation) |
| | | want_codes = gpcode_manager.WantBuyCodesManager().list_code_cache() |
| | | for data in dataList: |
| | | code = data["code"] |
| | | codes.append(code) |
| | |
| | | limit_up_price_dict[code] = limit_up_price |
| | | else: |
| | | temp_codes.append(code) |
| | | # 自由流通市值不符合标准 |
| | | if not want_codes or code not in want_codes: |
| | | # 没在想买单 |
| | | zyltgb = global_util.zyltgb_map.get(code) |
| | | if zyltgb: |
| | | zyltgb_as_yi = round(zyltgb / 100000000, 2) |
| | | if zyltgb_as_yi < zyltgb_thresholds[0] or zyltgb_as_yi > zyltgb_thresholds[6]: |
| | | # 想买单中的不能排除 |
| | | continue |
| | | elif zyltgb_as_yi > zyltgb_thresholds[1]: |
| | | # 比最大可买大的,如果没有短期辨识度就不买 |
| | | k_format = code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code) |
| | | if k_format and k_format[8][0] and k_format[8][1].find("短期") >= 0: |
| | | pass |
| | | else: |
| | | # 无短期辨识度 |
| | | continue |
| | | |
| | | tick_datas.append({"code": code, "price": data["price"], "volume": data["volume"], |
| | | "volumeUnit": data["volumeUnit"]}) |
| | | # 获取涨停价 |