yf | CLI tool that allows for quick and easy access | Business library

by BillGatesCat Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | yf Summary

yf is a Python library typically used in Web Site, Business applications. yf has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However yf build file is not available. You can download it from GitHub.

yf is a CLI tool that allows for quick and easy access to Yahoo! Finance market data.

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Support

yf has a low active ecosystem.

It has 17 star(s) with 0 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yf is current.

Quality

yf has no bugs reported.

Security

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

License

yf is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

yf releases are not available. You will need to build from source code and install.

yf has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed yf and discovered the below as its top functions. This is intended to give you an instant insight into yf implemented functionality, and help decide if they suit your requirements.

Set the argument parser for the history
Create a subparser
Inserts a function with the given name
Sets the parser for holders
Print subparser
Returns all functions
Print help message
Sets the parser for the given function
Sets the consumption parser
Sets the argument parser
Set the parser for cashflow
Set the balance parser
Set financials parser
Set the actions parser
Sets the parser for dividends
Parse arguments

Get all kandi verified functions for this library.

yf Key Features

No Key Features are available at this moment for yf.

yf Examples and Code Snippets

No Code Snippets are available at this moment for yf.

Community Discussions

Trending Discussions on yf

Deleting columns with specific conditions

How to add multiple dataframe columns to the basic mplfinance plot()

Forward looking average

How to combine three pandas series into one dataframe by date?

Rolling window calculation is added to the dataframe as a column of NaN

if and elif for three conditions

forward min and max in time series

one graph with two diffrent y axis

Getting zeros for and or statement

Conditions True and false and I get None value

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

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

Forward looking average

Asked 2021-Jun-14 at 21:35

I have a data frame and I want to take the average of three points forward.. I know how to do the min but I need the mean any ideas?

...

ANSWER

Answered 2021-Jun-14 at 21:35

You can use numpy.mean() with axis=0 on the numpy.array() consisting of the closing prices of current date plus 2 days ahead to get the mean, as follows:

Source https://stackoverflow.com/questions/67977084

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

You can concat them:

Source https://stackoverflow.com/questions/67977298

QUESTION

Rolling window calculation is added to the dataframe as a column of NaN

Asked 2021-Jun-14 at 15:20

I have a data frame that is indexed from 1 to 100000 and I want to calculate the slope for every 12 steps. Is there any rolling window for that?

I did the following, but it is not working. The 'slope' column is created, but all of the values as NaN.

...

ANSWER

Answered 2021-Jun-14 at 15:14

It's not necessary to use .groupby because there is only 1 record per day.
Don't use .reset_index(0, drop=True) because this is dropping the date index. When you drop the index from the calculation, it no longer matches the index of df, so the data is added as NaN.
- df['Close'].rolling(window=days_back, min_periods=days_back).apply(get_slope, raw=True) creates a pandas.Series. When assigning a pandas.Series to a pandas.DataFrame as a new column, the indices must match.

Source https://stackoverflow.com/questions/67971902

QUESTION

if and elif for three conditions

Asked 2021-Jun-07 at 11:25

I am analyzing stock trend though SMA 15 as follow:

If closing price value leads its MA15 and MA15 is rising for last 5 days then trend is Uptrend i.e. trend signal is 1.
If closing price value lags its MA15 and MA15 is falling for last 5 days then trend is Downtrend i.e. trend signal is 0.
if none of these rules are satisfied then stock market is said to have no trend.

I knoww how to do two conditions the first and the second, but I want to add the third with no trend.

...

ANSWER

Answered 2021-Jun-07 at 11:09

Try this:

Source https://stackoverflow.com/questions/67869908

QUESTION

forward min and max in time series

Asked 2021-Jun-06 at 20:28

How to get the min and max of a time series data?
I know that the rolling gets the values from the past, however, I want to get the data for the next 3 days.

...

ANSWER

Answered 2021-Jun-06 at 20:28

You can use .rolling() with parameter center=True, as follows:

Source https://stackoverflow.com/questions/67862640

QUESTION

one graph with two diffrent y axis

Asked 2021-Jun-03 at 09:45

I would like to ask you please about how to create one graph with two diffrent y axis?

...

ANSWER

Answered 2021-Jun-03 at 09:45

I create a dataframe with 2 columns 'a','b'. Each contains 100 random numbers

Source https://stackoverflow.com/questions/67817792

QUESTION

Getting zeros for and or statement

Asked 2021-Jun-01 at 21:37

I have the following data

...

ANSWER

Answered 2021-Jun-01 at 21:37

It seems you can test it simpler using

Source https://stackoverflow.com/questions/67789616

QUESTION

Conditions True and false and I get None value

Asked 2021-May-31 at 10:16

This is my data

...

ANSWER

Answered 2021-May-31 at 10:16

I believe that the problem is with the indentation of the return.

Source https://stackoverflow.com/questions/67771642

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

Vulnerabilities

No vulnerabilities reported

Install yf

The history subcommand outputs historical prices, volume, dividends, and stock splits. The following command outputs the Microsoft stock data from the past month on a daily interval. (Run yf history --help for an explanation on the subcommand.). To run same command for the uncompiled Python source code, run python bash/src/main.py history -t MSFT. Other subcommands in yf include: actions, calendar, dividends, holders, sustain.

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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