Exemplo n.º 1
0
 def get_stock_1d_k_data(provider: Provider, sleep, desc, pc, lock, region,
                         batch):
     # 日线
     Stock1dKdata.record_data(provider=provider,
                              share_para=(desc, pc, lock, True, region),
                              sleeping_time=sleep,
                              batch_size=batch)
Exemplo n.º 2
0
def report_vol_up_250():
    while True:
        error_count = 0
        email_action = EmailInformer()

        try:
            # 抓取k线数据
            StockTradeDay.record_data(provider='joinquant')
            Stock1dKdata.record_data(provider='joinquant')

            latest_day: StockTradeDay = StockTradeDay.query_data(
                order=StockTradeDay.timestamp.desc(),
                limit=1,
                return_type='domain')
            if latest_day:
                target_date = latest_day[0].timestamp
            else:
                target_date = now_pd_timestamp()

            # 计算均线
            my_selector = TargetSelector(start_timestamp='2018-01-01',
                                         end_timestamp=target_date)
            # add the factors
            factor1 = VolumeUpMa250Factor(start_timestamp='2018-01-01',
                                          end_timestamp=target_date)

            my_selector.add_filter_factor(factor1)

            my_selector.run()

            long_targets = my_selector.get_open_long_targets(
                timestamp=target_date)
            if long_targets:
                stocks = get_entities(provider='joinquant',
                                      entity_schema=Stock,
                                      entity_ids=long_targets,
                                      return_type='domain')
                info = [f'{stock.name}({stock.code})' for stock in stocks]
                msg = ' '.join(info)
            else:
                msg = 'no targets'

            logger.info(msg)

            email_action.send_message("*****@*****.**",
                                      f'{target_date} 放量突破年线选股结果', msg)

            break
        except Exception as e:
            logger.exception('report_vol_up_250 error:{}'.format(e))
            time.sleep(60 * 3)
            error_count = error_count + 1
            if error_count == 10:
                email_action.send_message(
                    "*****@*****.**", f'report_vol_up_250 error',
                    'report_vol_up_250 error:{}'.format(e))
Exemplo n.º 3
0
            ]

        df = StockActorSummary.query_data(filters=filters)

        if pd_is_not_null(df):
            self.logger.info(f'{df}')
            self.finish_date = recent_report_date

        long_df = df[df['change_ratio'] > 0.05]
        short_df = df[df['change_ratio'] < -0.5]
        try:
            self.trade_the_targets(
                due_timestamp=timestamp,
                happen_timestamp=timestamp,
                long_selected=set(long_df['entity_id'].to_list()),
                short_selected=set(short_df['entity_id'].to_list()))
        except Exception as e:
            self.logger.error(e)


if __name__ == '__main__':
    entity_id = 'stock_sh_600519'
    Stock1dKdata.record_data(entity_id=entity_id, provider='em')
    StockActorSummary.record_data(entity_id=entity_id, provider='em')
    FollowIITrader(start_timestamp='2002-01-01',
                   end_timestamp='2021-01-01',
                   entity_ids=[entity_id],
                   provider='em',
                   adjust_type=AdjustType.qfq,
                   profit_threshold=None).run()