<p>据我所知,可以引用<code>msft.financials</code>来查看股票可以提前获得什么样的数据。例如,是否存在调整后的收盘价以及数据可用的时间。您可以使用<code>msft.history(period='max')</code>检查这一点</p>
<pre><code>print(msft.history(period="max"))
Open High Low Close Volume Dividends \
Date
1986-03-13 0.06 0.06 0.06 0.06 1031788800 0.0
1986-03-14 0.06 0.07 0.06 0.06 308160000 0.0
1986-03-17 0.06 0.07 0.06 0.07 133171200 0.0
1986-03-18 0.07 0.07 0.06 0.06 67766400 0.0
1986-03-19 0.06 0.06 0.06 0.06 47894400 0.0
... ... ... ... ... ... ...
2020-09-25 203.55 209.04 202.54 207.82 29437300 0.0
2020-09-28 210.88 212.57 208.06 209.44 32004900 0.0
2020-09-29 209.35 210.07 206.81 207.26 24221900 0.0
2020-09-30 207.73 211.98 206.54 210.33 33829100 0.0
2020-10-01 213.49 213.99 211.32 212.46 27115800 0.0
</code></pre>
<p>您可以按如下方式获得实际数据</p>
<pre><code>data = yf.download("MSFT", start="2019-01-01", end="2019-04-30")
data
Open High Low Close Adj Close Volume
Date
2018-12-31 101.290001 102.400002 100.440002 101.570000 99.300156 33173800
2019-01-02 99.550003 101.750000 98.940002 101.120003 98.860214 35329300
2019-01-03 100.099998 100.190002 97.199997 97.400002 95.223351 42579100
2019-01-04 99.720001 102.510002 98.930000 101.930000 99.652115 44060600
2019-01-07 101.639999 103.269997 100.980003 102.059998 99.779205 35656100
... ... ... ... ... ... ...
2019-04-23 124.099998 125.580002 123.830002 125.440002 123.160469 24025500
2019-04-24 125.790001 125.849998 124.519997 125.010002 122.738281 31257000
2019-04-25 130.059998 131.369995 128.830002 129.149994 126.803055 38033900
2019-04-26 129.699997 130.520004 129.020004 129.889999 127.529594 23654900
2019-04-29 129.899994 130.179993 129.350006 129.770004 127.411781 16324200
</code></pre>