Backtest Retail Sales
Backtest strategies around retail sales data. Test consumer spending momentum strategies, analyze holiday season patterns, and evaluate control group retail sales as a GDP input.
Retail Sales Backtesting Features
Historical Data
Access comprehensive historical price data for Retail Sales (RSTL). Includes open, high, low, close, and volume data across multiple timeframes from 1-minute to monthly.
Custom Indicators
Apply 100+ built-in technical indicators to RSTL data, or create your own custom indicators. From simple moving averages to complex volatility models.
Strategy Builder
Build Retail Sales trading strategies visually or with Python code. Define entry/exit rules, stop losses, take profits, and position sizing rules.
Risk Analytics
Get comprehensive risk metrics for your RSTL strategy: Sharpe ratio, Sortino ratio, max drawdown, VaR, and expected shortfall analysis.
Correlation Analysis
Analyze how Retail Sales correlates with other assets. Build multi-asset strategies and test portfolio diversification across market regimes.
Walk-Forward Testing
Validate your RSTL strategy with out-of-sample walk-forward analysis. Avoid overfitting and ensure robust performance across time periods.
About Retail Sales (RSTL) Backtesting
Retail Sales (RSTL) is one of the most actively traded instruments in the macroeconomic indicators space. Backtesting your RSTL trading strategies is crucial for understanding how your approach would have performed across different market conditions.
With TestToTrade, you can backtest Retail Sales strategies using decades of historical data. Our platform supports a wide range of strategy types including trend following, mean reversion, momentum, breakout, and statistical arbitrage — all with realistic transaction cost modeling and slippage simulation.
Whether you're a discretionary trader looking to validate your intuition, or a quantitative researcher building systematic strategies, TestToTrade provides the tools you need to test, optimize, and deploy RSTL trading strategies with confidence.
Key Metrics Available for RSTL
- Total return and annualized return
- Sharpe ratio and Sortino ratio
- Maximum drawdown and recovery time
- Win rate and profit factor
- Value at Risk (VaR) and Expected Shortfall
- Rolling performance across market regimes
- Benchmark comparison (Macroeconomic Indicators index)
- Monte Carlo simulation results
Backtest Retail Sales for $10/mo
Join the beta and be the first to test your RSTL trading strategies when we launch.