Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
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distplot is a deprecated and will be removed in seaborn v0.14.0. #15
When running get_technical_indicators.py the below warning appears. It's fine for now but we'll have to update this at somepoint in the future.
C:\Users\admin\projects\stocks-prediction-Machine-learning-RealTime-telegram\Utils\Utils_plotter.py:311: UserWarning:
distplot
is a deprecated function and will be removed in seaborn v0.14.0.Please adapt your code to use either
displot
(a figure-level function with similar flexibility) orhistplot
(an axes-level function for histograms).For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751
sns.distplot(df[ele_B][(df[main_label] == 0)], bins=50, label="Nothing", color="#FFCC33") # amarillo huevo C:\Users\admin\projects\stocks-prediction-Machine-learning-RealTime-telegram\Utils\Utils_plotter.py:313: UserWarning:
distplot
is a deprecated function and will be removed in seaborn v0.14.0.Please adapt your code to use either
displot
(a figure-level function with similar flexibility) orhistplot
(an axes-level function for histograms).For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751
sns.distplot(df[ele_B][(df[main_label] == 100)], bins=50, label="Point of Buy", color="#00CC00") # verde C:\Users\admin\projects\stocks-prediction-Machine-learning-RealTime-telegram\Utils\Utils_plotter.py:315: UserWarning:
distplot
is a deprecated function and will be removed in seaborn v0.14.0.Please adapt your code to use either
displot
(a figure-level function with similar flexibility) orhistplot
(an axes-level function for histograms).For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751
sns.distplot(df[ele_B][(df[main_label] == -100)], bins=50, label="Point of Sale ", color="#FF00FF") # Magenta