IBPY获得正确的历史卷数据

Question

我试图从IBPY获得历史数据。我明白，但是音量太低了，一点也没有用。我想知道如何得到正确的历史体积估计。

我正在执行以下代码：

from ib.opt import Connection, message
from ib.ext.Contract import Contract
from ib.ext.Order import Order
from time import sleep, strftime

def historical_data_handler(msg):
    print(msg)

connection = Connection.create(port=7496, clientId=999)
connection.register(historical_data_handler, message.historicalData)
connection.connect()

req = Contract()
req.m_secType = "STK"
req.m_symbol = "TSLA"
req.m_currency = "USD"
req.m_exchange = "AMEX"
endtime = strftime('%Y%m%d %H:%M:%S')
connection.reqHistoricalData(1,req,endtime,"1 D","1 hour","TRADES",1,1)

sleep(5)
connection.disconnect()

这是输出：

<historicalData reqId=1, date=20181123  16:30:00, open=333.21, high=333.33, low=331.04, close=332.92, volume=22, count=21, WAP=332.233, hasGaps=False>
<historicalData reqId=1, date=20181123  16:30:00, open=333.21, high=333.33, low=331.04, close=332.92, volume=22, count=21, WAP=332.233, hasGaps=False>
<historicalData reqId=1, date=20181123  17:00:00, open=332.93, high=334.2, low=327.0, close=328.2, volume=42, count=39, WAP=329.755, hasGaps=False>
<historicalData reqId=1, date=20181123  17:00:00, open=332.93, high=334.2, low=327.0, close=328.2, volume=42, count=39, WAP=329.755, hasGaps=False>
<historicalData reqId=1, date=20181123  18:00:00, open=329.0, high=330.37, low=327.96, close=327.96, volume=17, count=17, WAP=329.375, hasGaps=False>
<historicalData reqId=1, date=20181123  18:00:00, open=329.0, high=330.37, low=327.96, close=327.96, volume=17, count=17, WAP=329.375, hasGaps=False>
<historicalData reqId=1, date=20181123  19:00:00, open=328.5, high=328.6, low=326.07, close=326.07, volume=25, count=25, WAP=327.498, hasGaps=False>
<historicalData reqId=1, date=20181123  19:00:00, open=328.5, high=328.6, low=326.07, close=326.07, volume=25, count=25, WAP=327.498, hasGaps=False>

数据到达，但每一行的容量都不可能很低(每小时条为22)。

在他们的网站：显示

声明指出：

注:IB的历史数据提要是为某些类型的交易过滤的，这些交易通常发生在远离NBBO的交易中，如combos、块交易和衍生品。由于这个原因，历史数据卷将低于未经过滤的历史数据提要。

但是，检索到的卷太低了，没有用。

我想我不是第一个需要历史卷数据的人，而且可能有一种方法可以得到它。你能告诉我怎么做吗？谢谢!

Answer 1

报告数量达数百份。例如，22股是2,200股。

有关参考资料，请参阅Trader参考指南或联机这里。