ticker | Terminal stock ticker with live updates | Business library
kandi X-RAY | ticker Summary
kandi X-RAY | ticker Summary
Terminal stock watcher and stock position tracker.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ticker
ticker Key Features
ticker Examples and Code Snippets
import yfinance as yf
msft = yf.Ticker("MSFT")
# get stock info
msft.info
# get historical market data
hist = msft.history(period="max")
# show actions (dividends, splits)
msft.actions
# show dividends
msft.dividends
# show splits
msft.splits
def load_data(ticker, n_steps=60, scale=True, split=True, balance=False, shuffle=True,
lookup_step=1, test_size=0.15, price_column='Price', feature_columns=['Price'],
target_column="future", buy_sell=False):
"""Loa
@Override
public void onTickerUpdate(TickerDTO ticker) {
logger.info("Received a new ticker : {}", ticker);
if (new BigDecimal("56000").compareTo(ticker.getLast()) == -1) {
if (canBuy(new CurrencyPairDTO(BTC,
public Publisher newTicker() {
return Streams.periodically(executorService, Duration.ofSeconds(2), (t) -> {
return randomQuote();
}
Community Discussions
Trending Discussions on ticker
QUESTION
I have a dataframe output from the python script which gives following output
Datetime High Low Time 546 2021-06-15 14:30:00 15891.049805 15868.049805 14:30:00 547 2021-06-15 14:45:00 15883.000000 15869.900391 14:45:00 548 2021-06-15 15:00:00 15881.500000 15866.500000 15:00:00 549 2021-06-15 15:15:00 15877.750000 15854.549805 15:15:00 550 2021-06-15 15:30:00 15869.250000 15869.250000 15:30:00i Want to remove all rows where time is equal to 15:30:00. tried different things but unable to do. Help please.
...ANSWER
Answered 2021-Jun-15 at 15:55The way I did was the following,
First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.
Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.
rm_time = dt.time(15,30)
With this, we can go about using the DataFrame.drop()
df.drop(df[df.Datetime.dt.time == rm_time].index)
QUESTION
Running this code to normalize json:
...ANSWER
Answered 2021-Jun-15 at 10:59This is not consumed by json_normalize
directly (after my tries). Since the number of BUY
and SELL
are different, and these record do not neccessarily should match each other (located on a same row), suggestions is to split into two dataframes and then concatenate.
QUESTION
I'm trying to understand best practices for Golang concurrency. I read O'Reilly's book on Go's concurrency and then came back to the Golang Codewalks, specifically this example:
https://golang.org/doc/codewalk/sharemem/
This is the code I was hoping to review with you in order to learn a little bit more about Go. My first impression is that this code is breaking some best practices. This is of course my (very) unexperienced opinion and I wanted to discuss and gain some insight on the process. This isn't about who's right or wrong, please be nice, I just want to share my views and get some feedback on them. Maybe this discussion will help other people see why I'm wrong and teach them something.
I'm fully aware that the purpose of this code is to teach beginners, not to be perfect code.
Issue 1 - No Goroutine cleanup logic
...ANSWER
Answered 2021-Jun-15 at 02:48It is the
main
method, so there is no need to cleanup. Whenmain
returns, the program exits. If this wasn't themain
, then you would be correct.There is no best practice that fits all use cases. The code you show here is a very common pattern. The function creates a goroutine, and returns a channel so that others can communicate with that goroutine. There is no rule that governs how channels must be created. There is no way to terminate that goroutine though. One use case this pattern fits well is reading a large resultset from a database. The channel allows streaming data as it is read from the database. In that case usually there are other means of terminating the goroutine though, like passing a context.
Again, there are no hard rules on how channels should be created/closed. A channel can be left open, and it will be garbage collected when it is no longer used. If the use case demands so, the channel can be left open indefinitely, and the scenario you worry about will never happen.
QUESTION
i have tried the below code to normalize JSON, but getting error - " AttributeError: 'int' object has no attribute 'values'"
Code:
...ANSWER
Answered 2021-Jun-15 at 03:07If you check the help of pd.json_normalize(...)
, it says
QUESTION
import yfinance as yf
msft = yf.Ticker('MSFT')
data = msft.history(period='6mo')
import mplfinance as mpf
data['30 Day MA'] = data['Close'].rolling(window=20).mean()
data['30 Day STD'] = data['Close'].rolling(window=20).std()
data['Upper Band'] = data['30 Day MA'] + (data['30 Day STD'] * 2)
data['Lower Band'] = data['30 Day MA'] - (data['30 Day STD'] * 2)
apdict = (
mpf.make_addplot(data['Upper Band'])
, mpf.make_addplot(data['Lower Band'])
)
mpf.plot(data, volume=True, addplot=apdict)
...ANSWER
Answered 2021-Jun-15 at 01:49- As per Adding plots to the basic mplfinance plot(), section Plotting multiple additional data sets
- Aside from the example below, for two columns from a dataframe, the documentation shows a number of ways to configure an appropriate object for the
addplot
parameter. apdict = [mpf.make_addplot(data['Upper Band']), mpf.make_addplot(data['Lower Band'])]
works as well. Note it's alist
, not atuple
.
- Aside from the example below, for two columns from a dataframe, the documentation shows a number of ways to configure an appropriate object for the
- mplfinance/examples
QUESTION
I trying to calculate ADX indicator using using library called ta
- link
I am using yahoo finance API to get the data.
this is my code
...ANSWER
Answered 2021-Jun-14 at 21:21You can concat them:
QUESTION
I am trying to dynamically add items to the list in Flutter so this list runs indefinitely. (I am trying to achieve this using a ListView.builder and the Future class).
The end-effect I am seeking is an endless auto-scrolling of randomly generated images along the screen at a smooth rate (kind of like a news ticker).
Is this possible? I have been reworking for ages (trying AnimatedList etc) but cant seem to make it work!
Would love any help to solve this problem or ideas.
...ANSWER
Answered 2021-Jun-14 at 21:06In the following example code, which you can also run in DartPad, a new item is added to the list every two seconds. The ScrollController
is then used to scroll to the end of the list within one second.
The timer is only used to continuously add random items to the list, you could, of course, listen to a stream (or similar) instead.
QUESTION
I am trying to update my fetch, when new inputs come from this.state.values, but it does not work when using a textInput but re-renders when i manually place value in the this.state.values
...ANSWER
Answered 2021-Jun-14 at 15:22You called the API in componentWillMount()
which is only triggered just before mounting occurs.
To reuse the fetch API, make it a method and call it where necessary.
Like this:
QUESTION
I am trying to build a Tkinter program that displays vertically stacked text fields with labels. Next to each of these fields there are two other text fields with labels. I want to be able to add vertically and horizontally add more fields with labels.
In a Data
class I have store a list assets
that is build like this:
ANSWER
Answered 2021-Jun-13 at 21:37looks like you go one level too deep with your subscripts:
ticker = asset[1][0]
gives you
ticker = [horizontal_label_1, horizontal_input_1]
so I think with ticker[0][0] you get the first letter of your horizontal label not the label itself.
I guess what you want is
ticker = asset[1]
before the line that throws the error and then it should be fine.
QUESTION
after search on csv
im try calculating operation in row :
...ANSWER
Answered 2021-Jun-13 at 13:35Are you trying to iterate both on "df" and "base" rows? If so, you have to slice the "df" to get the value for the columns at the row (using iloc - https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.iloc.html - or loc - https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.loc.html). The comparissons on the if and elif conditions returns Series, not a single boolean. If you absolutely have to take this approach on having both "df" and "base", I'd sugest:
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