Backtesting Before You Trade
The most expensive mistake an investor can make is committing capital to an untested strategy. "It makes sense to me" is not a sufficient reason to trade real money. Historical performance data is.
WealthSignal's backtesting engine lets you run any of six built-in strategies against up to 10 years of historical market data — before risking a single paper dollar, let alone real capital.
The 6 Strategies You Can Backtest
SMA Crossover
A short-term moving average (e.g., 20-day) crossing above or below a long-term moving average (e.g., 50-day). Classic trend-following signal with a long historical track record.
Golden Cross / Death Cross
The 50-day SMA crossing above (Golden) or below (Death) the 200-day SMA. One of the most widely-followed technical signals in institutional trading.
RSI Momentum
Buy when RSI crosses up from oversold territory (30), sell when it crosses down from overbought (70). A momentum-based mean reversion approach.
MACD Trend
Uses MACD line crossovers with the signal line to identify momentum shifts. Widely used for medium-term trend identification.
Bollinger Band Breakout
Identifies volatility breakouts when price breaks above or below the standard deviation bands. Captures trending moves after periods of consolidation.
Mean Reversion
Statistical approach that buys when a stock is more than 2 standard deviations below its moving average, expecting regression to the mean.
What the Backtester Shows You
For each strategy and time period, you'll see:
| Metric | What It Tells You |
|---|---|
| Total Return | Absolute % gain/loss over the period |
| Annualized Return | Return normalized to a yearly rate |
| Sharpe Ratio | Return per unit of risk (higher is better) |
| Max Drawdown | Worst peak-to-trough loss |
| Win Rate | % of trades that were profitable |
| Profit Factor | Total wins ÷ total losses |
| Number of Trades | How frequently the strategy signals |
The Honest Limitations of Backtesting
Backtesting is necessary, but it has limitations you need to understand:
Survivorship bias. Historical data often excludes companies that went bankrupt or were delisted. Past performance of a strategy on the S&P 500 benefits from only seeing companies that survived.
Overfitting. A strategy that was optimized on historical data may have been accidentally tuned to past noise rather than persistent signal. The more parameters you optimize, the more likely this is.
The future is different from the past. Market regimes change. A strategy that worked in 2014-2018 may not work in 2022-2026.
WealthSignal's backtests use out-of-sample validation where possible and surface metrics that help you identify overfitted strategies (suspiciously high Sharpe ratios, very high win rates).
The Right Workflow
- Backtest first. Understand the historical profile of the strategy you're considering.
- Paper trade second. Execute the strategy in real market conditions using your $1M paper portfolio.
- Review after 60-90 days. Compare your actual paper trading results to the backtest.
- Go live only if consistent. If your paper performance aligns with the backtest, you have evidence — not just hope.
Access the backtesting engine on the Strategy Builder page.
Past performance does not guarantee future results. This tool is for educational purposes only.