不是目标代码不处理

admin

2025-04-02 638e8cb1fa9ca9f6c205cd808d7f52baa11a9a06

不是目标代码不处理

 strategy/buying_strategy.py

@@ -461,7 +461,7 @@
                                        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}")
                                            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:

 strategy/kpl_api.py

@@ -230,7 +230,8 @@
        plate_name = i[1]
        log_data = None
        its_stock = json.loads(getCodesByPlate(i[0]))
        if data_cache.OPENING_TIME < now_time < data_cache.NOON_MARKET_TIME:
        now_time_str = tool.get_now_time_str()
        if data_cache.OPENING_TIME < now_time_str < data_cache.NOON_MARKET_TIME:
            log_data = {plate_name: its_stock['list']}
        # 尝试过滤掉无意义的概念板块(plate_name not in ['科创板', '北交所', '次新股', '无', 'ST板块', 'ST摘帽', '并购重组', '国企改革','超跌', '壳资源', '股权转让', '送转填权']) and '增长' in plate_name
        if (plate_name not in ['科创板', '北交所', '次新股', '无', 'ST板块', 'ST摘帽', '并购重组', '国企改革', '超跌',
@@ -301,7 +302,7 @@
            for b in r:
                log_datas[b] = r[b]
        now_time = tool.get_now_time_str()
        if data_cache.L1_DATA_START_TIME < now_time < data_cache.CLOSING_TIME:
        if data_cache.L1_DATA_START_TIME < now_time < data_cache.NOON_MARKET_TIME:
            # logger.info(f"精选板块股票强度数据更新 == {market_sift_plate_stock_dict}")
            # 只在盘中时间获取
            KPLStockOfMarketsPlateLogManager().add_log(market_sift_plate['list'], log_datas)