Other exchanges

[pvjpavankumar]

First of all, your prediction algorithms are very good.

But the current implementation is looking into only NASDAQ I guess. How can I get the stock predictions for the tickers/symbols (companies) which are in other exchanges like Singapore, China, India, London ?

I tried with those. But they are not working.

[WillKoehrsen]

I am using the Quandl Wiki database which has over 3000 stocks. You can view the complete list under data/stock_list.csv.

I am definitely open to including other stock exchanges. If you can find them on Quandl I can put them in Stocker!

[WillKoehrsen]

Do you have any specific tickers in mind?

[pvjpavankumar]

Hi Will,

TECHM, INFY etc which are based out of India (NSE and BSE).

Regards

Pavan

On 23-01-2018 08:02, Will Koehrsen wrote:

Do you have any specific tickers in mind?

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[WillKoehrsen]

It looks like the National Stock Exchange of India (NSE) and Bombay Stock Exchange (BSE) are available on Quandl! The data looks like it will work, and I will try to integrate these.

[WillKoehrsen]

Stocker now supports both the NSE and BSE. When you want to use a different exchange, pass it as a keyword argument when instantiating the class.

techm = Stocker(ticker='TECHM', exchange='NSE')

[pvjpavankumar]

Great. Thanks a lot for the quick turnaround Will.

You saved my day :)

Regards Pavan

On Thu, Feb 1, 2018 at 3:22 AM, Will Koehrsen notifications@github.com wrote:

Closed #9 https://github.com/WillKoehrsen/Data-Analysis/issues/9.

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[garagnoth]

Would it be possible to include IDX? Tried using pandas_datareader instead of Quandl but failed.

Did that by adding parameter to the init function where user can select whether to use quandl or pandas_datareader: try: if ABC == 'quandl': stock = quandl.get('%s/%s' % (exchange, ticker)) elif ABC == 'pdr': stock =...

[pvjpavankumar]

Hi,

Thanks. I will test this.

Regards Pavan

On Sat, Mar 3, 2018 at 1:06 PM, garagnoth notifications@github.com wrote:

Would it be possible to include IDX? Tried using pandas_datareader instead of Quandl but failed.

Did that by adding parameter to the init function where user can select whether to use quandl or pandas_datareader: try: if ABC == 'quandl': stock = quandl.get('%s/%s' % (exchange, ticker)) elif ABC == 'pdr': stock =...

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