when i run the code: share = bb.Share('YAHOO', 'GOOGL')
then i get the following result? Do you have the same problem?

TypeError Traceback (most recent call last)
in ()
----> 1 share = bb.Share('YAHOO', 'GOOGL')

/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/bulbea-0.1.0-py2.7.egg/bulbea/entity/share.pyc in init(self, source, ticker, start, end, latest, cache)
164
165 if not _check_environment_variable_set(envvar):
--> 166 message = Color.warn("Environment variable {envvar} for Quandl hasn't been set. A maximum of {max_calls} calls per day can be made. Visit {url} to get your API key.".format(envvar = envvar, max_calls = QUANDL_MAX_DAILY_CALLS, url = ABSURL_QUANDL))
167
168 warnings.warn(message)

TypeError: unbound method warn() must be called with Color instance as first argument (got str instance instead)

scaler, Xtrain, Xtest, ytrain, ytest = split(share, 'Close', normalize = True)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-16-6857080bc17c> in <module>()
----> 1 scaler, Xtrain, Xtest, ytrain, ytest = split(share, 'Close', normalize = True)

ValueError: not enough values to unpack (expected 5, got 4)

I receive the below issue when running

import bulbea as bb
share = bb.Share('YAHOO', 'GOOGL')
share.data

module 'bulbea' has no attribute 'Share'

I found that majority implementations of stock prediction toke only one parameter as input, either 'Open' or 'Close' price. While I wonder if it is possible to combine 'Open' price and 'Volume' value together as input to the network to learn the relationship in between?

quandl already not update WIKI source anymore.

Please change exmaple to EOD, which can fetch the latest prices.

Received this from Quandl Support April 11, 2018:

I'm emailing you because you've downloaded US stock price data from the WIKI data feed in the past.

As you know, WIKI is a community-maintained data feed based on public sources. Unfortunately, one of the main sources of that data is no longer available, and our community volunteers have been unable to find a suitable alternative source.

As a result, the WIKI data feed is likely to be a lot less reliable in the future, with potentially missing or incorrect data or delayed updates.

We will continue to host this data feed on Quandl, but we no longer recommend using it for investment or analysis.

Unfortunately, we don't have any free stock price data feeds that can replace WIKI at this time. The closest alternative we have is EOD, which is a value-priced end-of-day US stock price data feed.

Thank you for your understanding.

I'll be honest. This repo happens to be a Bachelor's Project Thesis for a pal of mine that I built in a week's time. Never expected sudden interest for it. Apologies for not looking into issues. I'm just expecting to find dedicated time for this too. I really appreciate your interest in bulbea and I'm looking for more improvements - right from data extraction to a UI (long-term goal). Hopefully, I find time to dedicate within a month or two.

Calling out for Maintainers!

blubea.txt
Ubuntu 22.04 LTS
Python 3.10.4

Once again, as many repositories in github, I am not able to run the code/project.
Kindly see the attached file.

When I am trying to install the requirements, it appear this message.
It is normal or is something missing?

When I do
`>>>share = bb.Share('YAHOO', 'GOOGL')'

I get
File "<stdin>", line 1, in <module> File "bulbea/entity/share.py", line 166, in __init__ message = Color.warn("Environment variable {envvar} for Quandl hasn't been set. A maximum of {max_calls} calls per day can be made. Visit {url} to get your API key.".format(envvar = envvar, max_calls = QUANDL_MAX_DAILY_CALLS, url = ABSURL_QUANDL)) TypeError: unbound method warn() must be called with Color instance as first argument (got str instance instead)

I want to use the model to predict prices for the next day. How can I acheive this?

QuandL does not provide any more free tier stock or ETF pricing & their premiums are insane. I assume share.py is the main file needed to be modified but I'm wondering if it's possible (if QuandL is absolutely necessary).

Any thoughts?

@achillesrasquinha I would like to contribute to this issue as I have already tested the above-mentioned functionality locally. Can you help me out further in order to make my code effective as it did not reflect even though I added the proper methods?

Is the Repo is still maintained ? Is it production level ? Which deep learning Framework is used Tensorflow / Pytorch ?

When I import bulbea
import bulbea as bb

I got an error below.

OSError: 'seaborn' not found in the style library and input is not a valid URL or path. See style.available for list of available styles.

Could give me an advice? I installed all dependency.

can you tell me how can i use all this line of code to make predictions about the stock cause i cant actually find anything about that please. i need your help . :)

When I tried to import RNN as shown in the example, I got the following error message. I use Anaconda with Python 3.7 on Windows 10. I installed all components as described in the manual. Does anyone has a similar issue?

from bulbea.learn.models import RNN

Using TensorFlow backend.
ERROR:root:Internal Python error in the inspect module.
Below is the traceback from this internal error.

ERROR:root:Internal Python error in the inspect module.
Below is the traceback from this internal error.

Hi, Im getting this eror, I installed all the requirements, tensorflow. Installed form latest master as instructed in docs

In [1]: import bulbea as bb

In [2]: share = bb.Share(source = 'YAHOO', ticker = 'GOOGL')
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-2-bcc4c21f9124> in <module>()
----> 1 share = bb.Share(source = 'YAHOO', ticker = 'GOOGL')

/home/mahendra/workspace/dev/envs/bulbea/bulbea/bulbea/entity/share.py in __init__(self, source, ticker, start, end, latest, cache)
    164 
    165         if not _check_environment_variable_set(envvar):
--> 166             message = Color.warn("Environment variable {envvar} for Quandl hasn't been set. A maximum of {max_calls} calls per day can be made. Visit {url} to get your API key.".format(envvar = envvar, max_calls = QUANDL_MAX_DAILY_CALLS, url = ABSURL_QUANDL))
    167 
    168             warnings.warn(message)

TypeError: unbound method warn() must be called with Color instance as first argument (got str instance instead)

In [3]: 

I would like to understand how to use the trained predictor with the latest data.
I am not sure about how I should normalize/denormalize the data and at what stage this has to be done.
Could you just give a few hints, please?

All the best,

Hi, I am having a problem where the data has a few NaN entries and it causes the code to crash. I may be mistaken, but it does not appear to be any handling of NaN in data. I tried to replace all NaN entries with 0, but it still got treated as NaN.

I don't understand why.. But dependencies are not getting installed in here by pip.

if someone could help me with this issue, I would very much appreciate:

C:\WINDOWS\system32>C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py install
Traceback (most recent call last):
File "C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py", line 107, in
main()
File "C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py", line 104, in main
setup(**metadata)
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\site-packages\setuptools_init_.py", line 144, in setup
return distutils.core.setup(**attrs)
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\distutils\core.py", line 108, in setup
_setup_distribution = dist = klass(attrs)
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\site-packages\setuptools\dist.py", line 425, in init
_Distribution.init(self, {
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\distutils\dist.py", line 292, in init
self.finalize_options()
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\site-packages\setuptools\dist.py", line 717, in finalize_options
ep(self)
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\site-packages\setuptools\dist.py", line 724, in _finalize_setup_keywords
ep.load()(self, ep.name, value)
File "C:\Users\kanzl\AppData\Local\Programs\Python\Python38\lib\site-packages\setuptools\dist.py", line 327, in check_packages
for pkgname in value:
TypeError: 'module' object is not iterable

Right now the Share could be created only by source and ticket. Could bulbea add support to create Share from existing DataFrame?, something like:

pre_existing_dataframe = load_some_data()
share = bb.Share(data=pre_existing_dataframe)

It could help bb to work with 3rd party data sources

I'm getting these errors when trying to run the setup:

C:\Windows\System32>C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py install
C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py:65: SyntaxWarning: "is" with a literal. Did you mean "=="?
content += '{prepend}{content}'.format(prepend = '' if i is 0 else '\n\n', content = raw)
Traceback (most recent call last):
File "C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py", line 107, in
main()
File "C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py", line 89, in main
long_description = get_long_description(package.long_description),
File "C:\Users\kanzl\Downloads\bulbea-master\bulbea-master\setup.py", line 71, in get_long_description
raise FileNotFoundError('No such file found: {filepath}'.format(filepath = filepath))
FileNotFoundError: No such file found: README.md

If you could help I would appreciate, thanks

Excuse me, can this project be used to predict the economic prosperity index? My data is: X-axis refers to time, and Y-axis refers to a type of economic data. Can it be used to predict?

Hi,

When I try to follow the example, I have the following errors. Please help.

share = bb.Share('YAHOO', 'GOOGL')
Traceback (most recent call last):
File "", line 1, in
File "/home/edison/bulbea/bulbea/entity/share.py", line 175, in init
self.update(start = start, end = end, latest = latest, cache = cache)
File "/home/edison/bulbea/bulbea/entity/share.py", line 189, in update
code = self.ticker
File "/home/edison/.local/lib/python3.5/site-packages/quandl/get.py", line 48, in get
data = Dataset(dataset_args['code']).data(params=kwargs, handle_column_not_found=True)
File "/home/edison/.local/lib/python3.5/site-packages/quandl/model/dataset.py", line 47, in data
return Data.all(**updated_options)
File "/home/edison/.local/lib/python3.5/site-packages/quandl/operations/list.py", line 14, in all
r = Connection.request('get', path, **options)
File "/home/edison/.local/lib/python3.5/site-packages/quandl/connection.py", line 36, in request
return cls.execute_request(http_verb, abs_url, **options)
File "/home/edison/.local/lib/python3.5/site-packages/quandl/connection.py", line 44, in execute_request
cls.handle_api_error(response)
File "/home/edison/.local/lib/python3.5/site-packages/quandl/connection.py", line 85, in handle_api_error
raise klass(message, resp.status_code, resp.text, resp.headers, code)
quandl.errors.quandl_error.NotFoundError: (Status 404) (Quandl Error QECx02) You have submitted an incorrect Quandl code. Please check your Quandl codes and try again.

Thanks.
Best Regards,
Edison

Is there a way to load data from a local CVS file rather than retrieve it from Quandl?

Hello, today I attempted to install the library and run into an issue.
after importing bulbea with >>> import bulbea as bb everything seamed normal but when trying to run
>>> share = bb.Share('YAHOO', 'GOOGL')
I get this following error:
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "bulbea/entity/share.py", line 166, in __init__ message = Color.warn("Environment variable {envvar} for Quandl hasn't been set. A maximum of {max_calls} calls per day can be made. Visit {url} to get your API key.".format(envvar = envvar, max_calls = QUANDL_MAX_DAILY_CALLS, url = ABSURL_QUANDL)) TypeError: unbound method warn() must be called with Color instance as first argument (got str instance instead)
Now I have no clue what exactly went wrong or why it isn't working, can someone help me with this?

UserWarning: Environment variable BULBEA_QUANDL_API_KEY for Quandl hasn't been set. A maximum of 50000 calls per day can be made. Visit https://www.quandl.com to get your API key.
warnings.warn(message)

NotFoundError: (Status 404) (Quandl Error QECx02) You have submitted an incorrect Dataset code. Please check your Dataset codes and try again.

import bulbea as bb
share = bb.Share('Wiki','GOOGL')
share.data

with this code i get this error

Warning (from warnings module):
File "C:\Users\Caste\AppData\Local\Programs\Python\Python37\lib\site-packages\bulbea-0.1.0-py3.7.egg\bulbea\entity\share.py", line 168
UserWarning: �[01m�[33mEnvironment variable BULBEA_QUANDL_API_KEY for Quandl hasn't been set. A maximum of 50000 calls per day can be made. Visit https://www.quandl.com to get your API key.�[0m

what i can do helpppppp meeeeeeee!

My Fault, missing textblob package.

The normalized Close data is very different from the original close price, because we are using cumulative returns.

The first picture is Google stock price. The second picture is the keras RNN prediction on the normalized data. It looks very different
how do I convert the prediction back to the original price?

In split() when setting normalize to true, bulbea will use cummulative returns to normalize the data first and then split the data. How about use log returns instead of cummulative returns for normalization?

Log returns are more useful in quant world than cummulative returns.

Cummulative returns hides the short term relative returns. How today's price comparing with yestoday or last month is more important than comparing with the very first inital price (maybe several years before), IMOH.

Hi, I have been trying to set this up and I receive this error after running the script in the readme. Please let me know how to fix; I am not very familiar with python. Thanks!

File "main.py", line 16, in
rnn = RNN([1, 100, 100, 1]) # number of neurons in each layer
File "/usr/local/lib/python3.7/site-packages/bulbea-0.1.0-py3.7.egg/bulbea/learn/models/ann.py", line 29, in init
TypeError: init() missing 1 required positional argument: 'units'

The whole script:

import bulbea as bb
share = bb.Share('WIKI', 'GOOGL')
share.data

from bulbea.learn.evaluation import split
Xtrain, Xtest, ytrain, ytest = split(share, 'Close', normalize = True)

import numpy as np
Xtrain = np.reshape(Xtrain, (Xtrain.shape[0], Xtrain.shape[1], 1))
Xtest = np.reshape(Xtest, (Xtest.shape[0], Xtest.shape[1], 1))

from bulbea.learn.models import RNN
rnn = RNN([1, 100, 100, 1]) # number of neurons in each layer
rnn.fit(Xtrain, ytrain)

from sklearn.metrics import mean_squared_error
p = rnn.predict(Xtest)
mean_squared_error(ytest, p)

import matplotlib.pyplot as pplt
pplt.plot(ytest)
pplt.plot(p)
pplt.show()

facing this since the latest updates to tensorflow any solution??

Issue Type

[x] Bug (Typo)

Steps to Replicate

1. Examine docs/blog/data-data-everywhere.rst.
2. Search for seperated.

Expected Behaviour

1. Should read separated.

Semi-automated issue generated by
https://github.com/timgates42/meticulous/blob/master/docs/NOTE.md

To avoid wasting CI processing resources a branch with the fix has been
prepared but a pull request has not yet been created. A pull request fixing
the issue can be prepared from the link below, feel free to create it or
request @timgates42 create the PR.

https://github.com/timgates42/bulbea/pull/new/bugfix_typo_separated

Thanks.