ticker | Terminal stock ticker with live updates | Business library

 by   achannarasappa Go Version: v4.5.14 License: GPL-3.0

kandi X-RAY | ticker Summary

kandi X-RAY | ticker Summary

ticker is a Go library typically used in Web Site, Business, React applications. ticker has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

Terminal stock watcher and stock position tracker.
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              ticker has a medium active ecosystem.
              It has 4584 star(s) with 256 fork(s). There are 63 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 24 open issues and 138 have been closed. On average issues are closed in 86 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ticker is v4.5.14

            kandi-Quality Quality

              ticker has no bugs reported.

            kandi-Security Security

              ticker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ticker is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              ticker releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ticker
            Get all kandi verified functions for this library.

            ticker Key Features

            No Key Features are available at this moment for ticker.

            ticker Examples and Code Snippets

            The Ticker module
            pypidot img1Lines of Code : 93dot img1no licencesLicense : No License
            copy iconCopy
            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
            
              
            Load data for a given ticker .
            pythondot img2Lines of Code : 124dot img2License : Permissive (MIT License)
            copy iconCopy
            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  
            Handle a ticker update
            javadot img3Lines of Code : 16dot img3License : Permissive (MIT License)
            copy iconCopy
            @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,  
            Creates a new ticker that will trigger a new quote
            javadot img4Lines of Code : 5dot img4License : Permissive (MIT License)
            copy iconCopy
            public Publisher newTicker() {
                    return Streams.periodically(executorService, Duration.ofSeconds(2), (t) -> {
                       
                        return randomQuote();
                    }  

            Community Discussions

            QUESTION

            Deleting columns with specific conditions
            Asked 2021-Jun-15 at 16:53

            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 15:30:00

            i 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 15:55

            The 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)

            Source https://stackoverflow.com/questions/67989337

            QUESTION

            Pandas Json Normalize - not getting desired output
            Asked 2021-Jun-15 at 10:59

            Running this code to normalize json:

            ...

            ANSWER

            Answered 2021-Jun-15 at 10:59

            This 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.

            Source https://stackoverflow.com/questions/67984246

            QUESTION

            Golang Concurrency Code Review of Codewalk
            Asked 2021-Jun-15 at 06:03

            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 02:48
            1. It is the main method, so there is no need to cleanup. When main returns, the program exits. If this wasn't the main, then you would be correct.

            2. 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.

            3. 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.

            Source https://stackoverflow.com/questions/67979304

            QUESTION

            Pandas JSON_normalize (nested json) - int object error
            Asked 2021-Jun-15 at 03:07

            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 03:07

            If you check the help of pd.json_normalize(...), it says

            Source https://stackoverflow.com/questions/67979101

            QUESTION

            How to add multiple dataframe columns to the basic mplfinance plot()
            Asked 2021-Jun-15 at 01:49
            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 a list, not a tuple.
            • mplfinance/examples

            Source https://stackoverflow.com/questions/67978325

            QUESTION

            How to combine three pandas series into one dataframe by date?
            Asked 2021-Jun-14 at 21:27

            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 21:21

            QUESTION

            How to create an indefinite smooth-scrolling list of images in Flutter?
            Asked 2021-Jun-14 at 21:06

            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 21:06

            In 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.

            Source https://stackoverflow.com/questions/67965129

            QUESTION

            react native fetch api value not updating after new state change
            Asked 2021-Jun-14 at 15:22

            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 15:22

            You 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:

            Source https://stackoverflow.com/questions/67971136

            QUESTION

            'TypeError: can only concatenate str (not "int") to str' when accessing nested lists
            Asked 2021-Jun-14 at 03:59

            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 21:37

            looks 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.

            Source https://stackoverflow.com/questions/67962172

            QUESTION

            how fixed this (error after imp from csv)?
            Asked 2021-Jun-13 at 13:35

            after search on csv

            im try calculating operation in row :

            ...

            ANSWER

            Answered 2021-Jun-13 at 13:35

            Are 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:

            Source https://stackoverflow.com/questions/67958505

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ticker

            Download the pre-compiled binaries from the releases page and copy to a location in PATH or see quick installs below. Note: config file can be mounted from the host machine by using a bind mount with -v ~/.ticker.yaml:/.ticker.yaml. Note: config file will need to be set with --config $HOME/ticker.yaml since Snap does not allow access to dotfiles.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/achannarasappa/ticker.git

          • CLI

            gh repo clone achannarasappa/ticker

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            git@github.com:achannarasappa/ticker.git

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