Pandas TA: A complete Guide

We cover the pandas-ta library, how to calculate various technical indicators, how to create strategies, how to use multi-processing, etc.
⭐ Code:
github.com/ChadThackray/panda...
Timestamps:
00:00 - Intro
01:03 - Fetching data from yfinance
03:56 - Pandas-TA documentation
06:42 - Calling TA functions directly
10:12 - Using df.ta accessor
15:19 - Using strategy objects to calculate multiple indicators
18:18 - Misc. Features, Multi-processing, column naming, etc.

[@davidberry8511]

Amazing, love what you are doing. Can't wait for the next one :)

[@ersineser7610]

Dear Chad, Thank you for sharing and teaching us. Greetings.

[@anishsahani1824]

I learned a lot from this video. Best video I have seen today 😍

[@germanslobo]

I love your videos. Thanks.

[@sinan_islam]

Thanks for removing the clock. It was a source of distraction. Now I can pay better attention to the lecture.

[@elu1]

Very nicely made video to explain the library. Thanks you so much

[@vika4396]

Thank you so much this helped a lot!!!! You saved my life

[@shaneburke3156]

This method works perfectly .. thanks for sharing ;)

[@manojprabhu8885]

Precise explanation. Thanks a lot

[@DEChacker]

thank you very much for your videos - keep going please

[@INFODUCTIVA2]

Muy buena Información!!!!

[@J2897Tutorials]

Nice... This could save me a tonne of time.

[@baczkie]

lov ya bro !!!

[@akbarboghani1]

thanks for sharing this. very useful video indeed. is it possible to fetch the commodities data and the derivatives data.

[@amywarke3481]

I do love pandas 🐼

[@lucysproule4643]

Me too! Keep up the good work chad :)

[@rastislavlukac6487]

You do excellent job Chad ! Your videos are very useful. However, I would like to ask one question. Why do I get from following two functions completely different results? Pandas-TA result seems to be wrong...
a = ta.trend.STCIndicator(close=data["close"], window_fast=12, window_slow=26, cycle=10, smooth1=3, smooth2=3, fillna=True).stc()
b = pandas_ta.stc(close=data["close"],tclen=10, fast=12, slow=26 ,factor=0.5)
Is it in the parameters smooth and factor?

[@ChadThackray]

Yes you'll want to make sure that the parameters are the same. In this example I think your smoothing value is off.
If that's still not right then you'll want to check the code between the two repos and see if there's a difference in methodology

[@hedgingera2170]

the close price passed into ta should be 'Close' or 'Adj Close' ?
thanks

[@allentoronto]

For once, the software is actually really useful

[@vatsalshah7557]

Is the underlying data pulled from Yahoo Finance?

[@franky12]

Is there any plot function built-in to easily plot the calculated indicators?

[@ChadThackray]

Not that I'm aware of. But it's only one line in matplotlib or plotly.

[@TheSnath]

Hi Chad, I want to run the ta functions on a df that is not from yfinance. Is that possible? If so, what all do I need to take care of

[@ChadThackray]

Should be exactly the same. Just make sure your dataframe looks like the yfinance one

[@barbann5091]

I tried to import from yfinance exactly as shown above with df.ta.ticker("SPY",...etc) and got an error message "Yahoo has again changed data format, yfinance now unsure which key(s) is for decryption:" plus a page full of stuff -no dataframe.

[@ChadThackray]

Update your version of yfinance. Looks like the issue is resolved now if you check the github issues