Volatility Indicators

In the example below, you can explore volatility indicators and how to create them using the LightningChart Python Trader. Full code and dataset are provided at the bottom of the page.

Download example dataset

from lightningchart_trader import TAChart

LICENSE_KEY_PATH = "license_key.txt"
DATA_PATH = "Tesla.csv"

# Load the license key
license_key = open(LICENSE_KEY_PATH).read()

# Initializing
volatility_chart = TAChart(license_key=license_key)
volatility_chart.load_csv(csv=DATA_PATH)
volatility_chart.set_price_chart_type('CandleStick')
volatility_chart.set_chart_title('Tesla Data - Volatility Indicators')

# Add volatility indicators to the chart
volatility_chart.add_average_true_range(period_count=14)
volatility_chart.add_chaikin_volatility()
volatility_chart.add_ehler_fisher_transform()
volatility_chart.add_high_minus_low()
volatility_chart.add_historical_volatility_index()
volatility_chart.add_mass_index(period_count=25)
volatility_chart.add_z_value(period_count=20)

# Open chart
volatility_chart.open()