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?
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
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.
Very nicely made video to explain the library. Thanks you so much
Thanks for removing the clock. It was a source of distraction. Now I can pay better attention to the lecture.
Dear Chad, Thank you for sharing and teaching us. Greetings.
I love your videos. Thanks.
I learned a lot from this video. Best video I have seen today 😍
thanksTyou. The docs aren't too clear but your video helped a lot.
Amazing, love what you are doing. Can't wait for the next one :)
Great tutorial and simple enough for beginners. Thank you
Have you tried this code ?
Precise explanation. Thanks a lot
This method works perfectly .. thanks for sharing ;)
thank you very much for your videos - keep going please
Muy buena Información!!!!
Nice... This could save me a tonne of time.
the close price passed into ta should be 'Close' or 'Adj Close' ?
thanks
thanks for sharing this. very useful video indeed. is it possible to fetch the commodities data and the derivatives data.
I do love pandas 🐼
Me too! Keep up the good work chad :)
lov ya bro !!!
Is the underlying data pulled from Yahoo Finance?
But how do we can make backtest?
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
Should be exactly the same. Just make sure your dataframe looks like the yfinance one
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?
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
Is there any plot function built-in to easily plot the calculated indicators?
Not that I'm aware of. But it's only one line in matplotlib or plotly.
For once, the software is actually really useful
Not working..
Can you be more specific?
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.
Update your version of yfinance. Looks like the issue is resolved now if you check the github issues