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2024-06-07 57a7a0dbc43b21256f877bb50f6dd4a35addf313

 code_attribute/first_target_code_data_processor.py

@@ -9,19 +9,41 @@
    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):
    logger_l2_codes_subscript.info(f"{request_id}加载l2代码相关数据")
    print("首板代码数量：", len(dataList))
    # 获取最近5天的交易日期，为后面的数据计算做准备
    HistoryKDatasUtils.get_latest_trading_date_cache(5)
    limit_up_price_dict = {}
    temp_codes = []
    codes = []
@@ -38,7 +60,6 @@
        diff_codes = set(want_codes) - set(codes)
        if diff_codes:
            # 想买单的代码还没有在目标代码中
            zyltgb_list = []
            for code in diff_codes:
                # 获取涨停价
                _limit_up_price = gpcode_manager.get_limit_up_price(code)
@@ -52,14 +73,6 @@
                    dataList.append({"code": code, "price": f"{_limit_up_price}", "volume": "0",
                                     "volumeUnit": 0, "time": "00:00:00", "zyltgb": "100",
                                     "zyltgbUnit": 0})
            # 强制更新自由流通股本
            if zyltgb_list:
                ZYLTGBUtil.save_list(zyltgb_list)
                # 将保存的数据更新到内存中
                for z in zyltgb_list:
                    val = ZYLTGBUtil.get(z["code"])
                    if val:
                        global_util.zyltgb_map[z["code"]] = val

    # ---保存未筛选的首板代码
    new_add_codes = gpcode_first_screen_manager.set_target_no_screen_codes(codes)
@@ -101,7 +114,8 @@
    # 获取60天最大记录
    for code in codes:
        need_get_volumn = False
        if code not in global_util.max60_volumn or global_util.max60_volumn.get(code) is None:
        if code not in global_util.max60_volumn or global_util.max60_volumn.get(
                code) is None or code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code) is None:
            need_get_volumn = True
        # if not need_get_volumn and code_nature_analyse.CodeNatureRecordManager.get_nature_cache(
        #         code) is None:
@@ -112,33 +126,62 @@
                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(
                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)
                    # 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")
                    HighIncreaseCodeManager().add_code(code)

                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)

@@ -157,6 +200,7 @@
                #                                      volumes_data)
            except Exception as e:
                logger_first_code_record.error(f"{code}:{str(e)}")
                logger_first_code_record.exception(e)
    gpcode_manager.FirstCodeManager().add_record(codes)
    # 初始化板块信息，暂时删除
    # for code in codes:
@@ -177,6 +221,9 @@
                    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)
@@ -185,6 +232,24 @@
                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
@@ -226,4 +291,3 @@
    gpcode_first_screen_manager.process_ticks(prices)
    logger_l2_codes_subscript.info(f"({request_id})l2代码相关数据加载完成")
    return tick_datas