Volatility Targeting: Single Asset

The Volatility Targeting: Single Asset indicator is a risk scaling framework that dynamically adjusts position exposure based on realized market volatility to maintain a stable risk budget. It demonstrates how scaling interacts with trend direction and regime filtering to build a synthetic equity curve for performance analysis.

Usage

The tool allows users to visualize the impact of volatility targeting on a single financial instrument. By scaling exposure up during low-volatility periods and down during high-volatility spikes, the indicator aims to "equalize" risk across different market conditions.

The system utilizes a multi-layered approach for signal generation:

• Directional Signal: Uses a fast and slow EMA cross. When the fast EMA is above the slow EMA, the direction is long (+1); otherwise, it is short (-1).
• Regime Filter: Employs a second set of EMAs (typically 50/200) to act as a top-level gate. If the fast regime EMA is below the slow regime EMA, the system enters a "CASH" state where equity does not compound, effectively protecting the portfolio during sustained bear phases.
• Equity Simulation: The script builds a synthetic equity curve starting from a user-defined date and capital, accounting for volatility-adjusted returns and simple transaction fees.

Details

The indicator follows a specific step-by-step logic for risk calculation:

1. Returns: Computes log returns for the asset.
2. Volatility Estimation: Calculates realized volatility as the standard deviation of returns over a specific lookback window, then annualizes it.
3. Multiplier Calculation: A scaling factor is derived by dividing the target volatility by the realized volatility. This factor is clamped (typically between 0.1 and 5.0) to prevent extreme leverage during ultra-low volatility regimes.
4. Performance Metrics: The script includes a comprehensive table calculating Net Profit, Max Drawdown, Win Rate, Sortino/Sharpe ratios, and Alpha/Beta relative to a chosen benchmark.

Settings

Strategy Settings

• Initial Capital: The starting portfolio value for the equity simulation.
• Trading Days/Year: 252 for traditional markets or 365 for crypto.
• Momentum & Vol Lookback: The window used for volatility and momentum calculations.
• Fast/Slow EMA (Signal): Parameters for determining long/short direction.
• Fast/Slow EMA (Regime): Parameters for the "Active vs. Cash" regime filter.
• Target Volatility (%): The annualized volatility target the system tries to maintain.
• Transaction Fees: A per-bar penalty applied to returns to simulate trading friction.

Backtesting and Metrics

• Start Date: The beginning of the simulation period.
• Risk-Free Rate (%): Used for calculating Sharpe Ratio and Alpha.
• Benchmark: The symbol used for buy-and-hold comparison (e.g., SPX or BTC).

FAQ

How do I access Volatility Targeting: Single Asset?

You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.

What is the purpose of the volatility multiplier clamp?

The clamp serves as a "sanity rail" to ensure that exposure does not go to zero during volatility spikes and does not reach unrealistic leverage levels during periods of extremely low volatility.

How does the regime filter affect the equity curve?

The regime filter is designed to reduce participation in long-term negative trends. When the filter is in "CASH" mode, the strategy's equity remains flat, even if the underlying signal suggests a trade.

Details

This script is intended for research and educational purposes. It demonstrates a risk-parity style framework but does not include realistic execution assumptions like slippage, funding rates, or order fills. Users should transition to a strategy-based implementation for production-ready backtesting.