fbp_news_merge_positions.py

# Adding sentiment positions to the forecast DF
positions = pred_df.merge(
    sent_df, 
    right_index=True, 
    left_index=True, 
    how='inner'
)

# Getting forecast prophet positions
positions['fbp_positions'] = positions.apply(
    lambda x: fbpPositions(x, short=True), 
    axis=1
)

# Getting the overall positions of prophet and sentiment
positions['news_and_fbp'] = positions.apply(
    lambda x: overallPosition(x), 
    axis=1
)

# Buy and hold position
positions['buy_hold'] = 1

# Random positions
positions['random_positions'] = random.choices(
    [1,0,-1], k=len(positions)
)