Sector Rotation Strategy Tester (Relative Strength)
- Select the number of sectors you want to compare (2-5).
- For each sector and the benchmark, enter a name/ticker.
- Paste historical price data as comma-separated values (e.g.,
100,101,102.5,...
). All series must have the same number of data points and represent the same frequency (e.g., daily, monthly). - Enter the number of data points per year for your data (e.g., 252 for daily, 12 for monthly). This is used for CAGR calculation.
- Set strategy parameters: Momentum Lookback, Rebalancing Frequency (both in number of data periods), and Number of Top Sectors to Hold.
- The backtest starts after enough data is available for the initial momentum calculation. The strategy will hold the selected top sector(s) in equal weights.
Setup
Benchmark Details
Strategy Parameters
Backtest Results
Rotation Log (Last few rotations):
Rotation log will appear here...
In the dynamic world of active investing, strategies like sector rotation and relative strength have long fascinated traders and portfolio managers. Sector rotation involves shifting investments between different economic sectors (e.g., technology, healthcare, financials) in anticipation of outperformance, while relative strength, or momentum, focuses on buying assets that have performed well recently compared to others. The Sector Rotation Strategy Tester (Relative Strength) on WorkTool.com offers a sophisticated platform to backtest such a strategy using your own historical data, allowing you to rigorously evaluate its hypothetical performance over various market cycles. This tool is designed for quantitative investors seeking to understand and validate momentum-driven allocation models.
This tester provides a robust framework for simulating a rules-based relative strength strategy. You begin by setting up your analysis, specifying the “Number of Sectors” you wish to compare (from two up to ten) and the “Data Points Per Year” (e.g., 252 for daily data, 12 for monthly) to ensure accurate annualization. For each sector, you’ll then input its name or ticker and paste its sequential historical price data. Similarly, you’ll provide historical price data for a chosen “Benchmark” (e.g., S&P 500 Index) against which the strategy’s performance will be measured. This comprehensive data input ensures that the backtest is grounded in real historical market movements.
The core of the strategy lies in the “Strategy Parameters.” You’ll define a “Benchmark Lookback Period” in data points, which the tool uses to calculate the relative strength (momentum) of each sector. The strategy then identifies and “holds” a specified “Number of Top Sectors” based on their momentum. You’ll also set the “Rebalancing Frequency” in data points, determining how often the portfolio is re-evaluated and reallocated to the new top-performing sectors. For instance, a strategy might look back 12 months, identify the top 3 performing sectors, and rebalance into them every month. The backtest engine processes these rules against your historical data, simulating buy and sell decisions and tracking the hypothetical portfolio’s growth over time.
The primary benefit of using this Sector Rotation Strategy Tester is its ability to provide data-driven insights into the potential effectiveness of a momentum-based approach. By backtesting, you can observe how the strategy would have performed historically, including periods of market upturns, downturns, and sideways movements. This allows you to assess key metrics such as total return, annualized return, maximum drawdown, and compare these directly against a static benchmark portfolio. It helps answer critical questions like: Does this strategy consistently outperform the market? How does it perform during bear markets? What is its overall risk profile? While past performance is never indicative of future results, historical backtesting offers invaluable educational insights into the dynamics of specific trading strategies.
It’s vital to remember that the results generated by this backtesting tool are purely hypothetical. They do not account for real-world market frictions such as trading commissions, slippage, bid-ask spreads, taxes, or the inherent difficulty of executing trades precisely at historical closing prices. The strategy assumes perfect liquidity and execution. Therefore, this tool should be used for educational and analytical purposes to understand the theoretical performance of a strategy, not as a guarantee of future returns. For personalized investment advice and strategy implementation, always consult with a qualified financial professional. Use this advanced tool to refine your understanding of quantitative investing and explore the potential of momentum-driven sector rotation.