Loc

import pandas as pd
import ta.volatility as vol

# Load stock price data into a pandas DataFrame
df = pd.read_csv('stock_prices.csv')

# Calculate Bollinger Bands
df, df, df = vol.bollinger_hband(df), vol.bollinger_mavg(df), vol.bollinger_lband(df)

# Filter stock price movements that are above the upper Bollinger Band
df = df > df

# Filter stock price movements that are below the lower Bollinger Band
df = df < df

# Print the filtered stock price movements
print(df[df | df])