import mplfinance as mpf
import pandas as pd
# Sample data
dates = pd.date_range('2023-01-01', periods=10)
data = {
 'Open': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
 'High': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
 'Low': [0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5],
 'Close': [2, 1, 4, 3, 6, 5, 8, 7, 10, 9],
 'Volume': [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000]
}
df = pd.DataFrame(data, index=dates)
# Get the 'yahoo' style
yahoo_style = mpf.make_mpf_style(base_mpf_style='yahoo')
# Access the 'yahoo' style market colors
yahoo_market_colors = yahoo_style['marketcolors']
# Reverse the colors
reversed_market_colors = mpf.make_marketcolors(
 up=yahoo_market_colors['candle']['down'],
 down=yahoo_market_colors['candle']['up'],
 edge={'up': yahoo_market_colors['edge']['down'], 'down': yahoo_market_colors['edge']['up']},
 wick={'up': yahoo_market_colors['wick']['down'], 'down': yahoo_market_colors['wick']['up']},
 ohlc={'up': yahoo_market_colors['ohlc']['down'], 'down': yahoo_market_colors['ohlc']['up']},
 volume={'up': yahoo_market_colors['volume']['down'], 'down': yahoo_market_colors['volume']['up']}
)
# Define a new style with reversed colors
reversed_style = mpf.make_mpf_style(base_mpf_style='yahoo', marketcolors=reversed_market_colors)
# Plot the candlestick chart
mpf.plot(df, type='candle', volume=True, style=reversed_style)