admin
5 天以前 1dea3d72da9d3d2d55f2e41b611913b0901d8074
strategy/plate_strength_analysis.py
@@ -13,6 +13,10 @@
# 获取行情精选板块 强度排名
def get_market_sift_plate_its_stock_power():
    """
    :return: {板块:[代码信息]}, 精选流入板块
    """
    @dask.delayed
    def batch_get_plate_codes(fs):
        return fs
@@ -79,8 +83,7 @@
    if data_cache.OPENING_TIME < now_time < data_cache.AFTER_CLOSING_TIME:
        logger_kpl_market_sift_plate.info(f"{market_sift_plate['list']}")
    # 总控制时间段
    # TODO 测试
    if not (data_cache.OPENING_TIME < now_time < data_cache.NOON_MARKET_TIME) or True:
    if not (data_cache.OPENING_TIME < now_time < data_cache.NOON_MARKET_TIME):
        return
    # ['801235', '化工', 6996, 0.027, 2.43, 117836347690, -122548038, 8105997595, -8228545633, 0.92, 8595377775454, 0.09, 332297449, 9954902621130, -192457252, 24.0487, 17.1809, 6996, 0.027]
    # market_sift_plate['list'][0] = ['801062', '军工', 3520, -0.49, 0.666, 139133934669, 383864272, 9077352839, -8693488567, 1.183, 6129448037490,-0.12, 168245858, 7088854452019, -290614763, 50.2408, 30.3672, 3520, 0]
@@ -105,7 +108,7 @@
        # 只在盘中时间获取
        KPLMarketStockHeatLogManager().add_log(market_sift_plate['list'], log_datas)
    # 行情》精选板块》排名前20中》对应个股》符合条件的个股
    return market_sift_plate_stock_dict
    return market_sift_plate_stock_dict, market_sift_plate.get("list",[])
# 调用一下获取精选板块股票强度数据函数  【本模块内使用时调用】
@@ -118,13 +121,12 @@
            # print(f"kpl_limit_up_process开始了{now}")
            start_time = time.time()
            now_time = tool.get_now_time_str()
            # TODO 测试
            if data_cache.L1_DATA_START_TIME < now_time < data_cache.CLOSING_TIME or True:
            if data_cache.L1_DATA_START_TIME < now_time < data_cache.CLOSING_TIME:
                its_stock_power = get_market_sift_plate_its_stock_power()
                time_str = datetime.datetime.now().strftime("%H%M%S")
                if 92900 < int(time_str) < 95000:
                    # logger_kpl_jingxuan_in 打印的日志专用于开盘了数据的存储分析,不能轻易删除
                    logger_kpl_jingxuan_in.info(f"耗时:{time.time() - start_time}  数据:{its_stock_power}")
                    logger_kpl_jingxuan_in.info(f"耗时:{time.time() - start_time}  数据:{its_stock_power[0]}")
                callback(its_stock_power)
                # print(f"精选板块拉升个股更新===={its_stock_power}")
        except Exception as e: