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bukosabino
Technical Analysis Library using Pandas and Numpy
I think ATR indicator is not working as expected for the first n elements. It always throws 0.0 for the first values. https://colab.research.google.com/drive/1fw1CE3e5abeR7Tqwt6e1YK0dpY125U_S?usp=sharing Probably, I should fix to return NaN...
Traceback (most recent call last): File "/home/brianszekely/Desktop/ProjectsResearch/technical-analysis-crypto/find_best_strategies.py", line 756, in main() File "/home/brianszekely/Desktop/ProjectsResearch/technical-analysis-crypto/find_best_strategies.py", line 683, in main df_features = ta.add_all_ta_features( File "/home/brianszekely/anaconda3/envs/ta/lib/python3.9/site-packages/ta/wrapper.py", line 589, in add_all_ta_features df = add_trend_ta( File...
Hi All, Trying to get some idea on how to debug this. Just started to use backtesting.py + TA to conduct some backtesting. Seems to work for just an EMA...
Code: ta_all_indicators_df = ta.add_all_ta_features(ohlc[["open","high","low","close","volume"]], open="open", high="high", low="low", close="close", volume="volume", fillna=True) - No NaNs or any other problems in the data - Python version 3.10.13 (latest by conda) - ta 0.11.0...
This PR is to replace the for loop used to calculate the average part of Average True Range. The result of the calculation is exactly the same, but it runs...
Do let me know after taking a look, see here's I'm not getting an error moreover, if you'll see, ping me 
Little nuance: it keeps the index of high column. 
Added pivot points indicator with three levels of additional support and resistances for each row in the data frame. Cannot figure out how to fix the run linter test error...
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Technical Analysis Library using Pandas and Numpy