Create Highest.py

indicators/Highest.py

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+import pandas as pd
+import numpy as np
+import talib
+from talib import MA_Type
+
+def Highest(dataframe, period=14, price="high"):
+    df = dataframe.copy()
+
+    # Select the price column based on the input parameter
+    price_column = df[price]
+
+    # Initialize the indicator values
+    highest_values = np.zeros(len(df))
+
+    for i in range(len(df)):
+        if i < period - 1:
+            highest_values[i] = 0.0
+        else:
+            price_slice = price_column[i - period + 1:i + 1]
+            highest_value = max(price_slice)
+            highest_values[i] = highest_value
+
+    df["Highest"] = highest_values
+    return df
+
+# Example usage:
+# Assuming you have a pandas DataFrame df with columns ["high", "low", "open", "close", "volume"]
+# You can calculate SqHighest as follows:
+# sq_highest_result = Highest(df, period=14, price="high")