Mikeardy

Yes, sure. Here is the code: import pandas as pd import pandas_ta as ta import ccxt import mplfinance as mpf import heikin_ashi as ha pd.set_option("display.max_rows", None) pd.set_option("display.max_columns", None) pd.set_option("display.expand_frame_repr", False)...

Thanks Daniel! It works! I used the following approach to convert data into floats: re["open"] = re["HA-open"] re["high"] = re["HA-high"] re["low"] = re["HA-low"] re["close"] = re["HA-close"] re["open"] = pd.to_numeric(re["open"], downcast="float")...