# Market data seems strange

**URL:** https://forum.alpaca.markets/t/market-data-seems-strange/7164
**Category:** Alpaca Market Data
**Created:** [October 21, 2021, 12:12pm UTC](https://forum.alpaca.markets/t/market-data-seems-strange/7164 "2021-10-21T12:12:45Z")
**Posts on this page:** 2
**Page:** 1

<div class="post-metadata">

### Author: ![tiqer](https://sea2.discourse-cdn.com/flex020/user_avatar/forum.alpaca.markets/tiqer/32/3188_2.png) [@tiqer](https://forum.alpaca.markets/u/tiqer)
#### Post date: [October 21, 2021, 12:12pm UTC](https://forum.alpaca.markets/t/market-data-seems-strange/7164/1 "2021-10-21T12:12:45Z")

</div>

I ran the following query:

```auto
    df = api_paper.get_bars(
        symbol=['AAPL', 'AMGN', 'AMZN', 'CSCO'],
        start='2017-07-02',
        end='2017-07-04',
        timeframe=cast(TimeFrame, TimeFrame.Day)).df

    print(df)

```

and got the following output:

```auto
                             open high low close volume trade_count vwap symbol
timestamp                                                                                          
2017-07-03 04:00:00+00:00 144.93 646.29 123.45 123.45 14429919 99799 149.231012 AAPL
2017-07-03 04:00:00+00:00 172.63 174.33 84.77 123.45 1443566 15494 170.484227 AMGN
2017-07-03 04:00:00+00:00 972.79 974.49 123.45 123.45 2976058 49962 945.303690 AMZN
2017-07-03 04:00:00+00:00 31.27 123.45 18.38 123.45 14219307 58409 31.352307 CSCO

```

It looks like the value **123.45** (1, 2, 3, 4, 5) appears too many times in the results. Any suggestions?

Thank you

---

<div class="post-metadata">

### Author: ![newbiealpaca](https://avatars.discourse-cdn.com/v4/letter/n/9fc29f/32.png) [@newbiealpaca](https://forum.alpaca.markets/u/newbiealpaca)
#### Post date: [November 3, 2021, 2:29pm UTC](https://forum.alpaca.markets/t/market-data-seems-strange/7164/2 "2021-11-03T14:29:33Z")

</div>

> [@tiqer](#):
>
> `AMGN`

I am seeing the same thing on my end. Have you been able to figure out why this is happening? I tried to pull quotes from 2016 just now to test but it seems they are not there as I am returning a blank dataframe.