astro30/valinvest

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

valinvest's Issues

No provision to find f score for a scpecific date

How to find f score for a specific date?

KeyError: 'financials'

Run on all stocks

How do I run this on all stocks?

Error KeyError: 'financials'

module 'valinvest' has no attribute 'Fundamental'

Followed instructions in readme. Getting this error

AttributeError: module 'valinvest' has no attribute 'Fundamental'

Launching from Visual Studio using the following code

import valinvest

aapl = valinvest.Fundamental('AAPL', 'my key)
aapl.fscore()

FutureWarning: The behavior of `series[i:j]` with an integer-dtype index is deprecated.

Hi,
Just tried the package and I get this warning.

/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:469: FutureWarning: The behavior of series[i:j] with an integer-dtype index is deprecated. In a future version, this will be treated as label-based indexing, consistent with e.g. series[i] lookups. To retain the old behavior, use series.iloc[i:j]. To get the future behavior, use series.loc[i:j].
return property[-years:].sum() / years
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:469: FutureWarning: The behavior of series[i:j] with an integer-dtype index is deprecated. In a future version, this will be treated as label-based indexing, consistent with e.g. series[i] lookups. To retain the old behavior, use series.iloc[i:j]. To get the future behavior, use series.loc[i:j].
return property[-years:].sum() / years
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:469: FutureWarning: The behavior of series[i:j] with an integer-dtype index is deprecated. In a future version, this will be treated as label-based indexing, consistent with e.g. series[i] lookups. To retain the old behavior, use series.iloc[i:j]. To get the future behavior, use series.loc[i:j].
return property[-years:].sum() / years
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:374: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
stmt[stmt["header"] == "net_income"].groupby(
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:435: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
stmt[stmt["header"] == "net_income"].groupby(
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:469: FutureWarning: The behavior of series[i:j] with an integer-dtype index is deprecated. In a future version, this will be treated as label-based indexing, consistent with e.g. series[i] lookups. To retain the old behavior, use series.iloc[i:j]. To get the future behavior, use series.loc[i:j].
return property[-years:].sum() / years
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:291: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
stmt[stmt["header"] == "net_income"].groupby(
/usr/local/lib/python3.9/dist-packages/valinvest/fundamentals.py:336: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
stmt[stmt["header"] == "net_income"].groupby(

AttributeError: module 'pandas' has no attribute 'json_normalize'

File "", line 1, in
aapl = valinvest.Fundamental('AMD', '2e90d2fed0a9dc605ffcea7ef76954ff')

File "C:\Users\Tin\Anaconda3\lib\site-packages\valinvest\fundamentals.py", line 57, in init
self.statements = self._get_financial_statements()

File "C:\Users\Tin\Anaconda3\lib\site-packages\valinvest\fundamentals.py", line 116, in _get_financial_statements
res = pd.concat([res, self._get_financial_statement(statement)])

File "C:\Users\Tin\Anaconda3\lib\site-packages\valinvest\fundamentals.py", line 80, in _get_financial_statement
df = pd.json_normalize(res["financials"])

AttributeError: module 'pandas' has no attribute 'json_normalize'