Example One: Opening Range Breakout on Liquid Gappers
Rules: universe average volume above one million, gap two to eight percent, opening range first fifteen minutes, long on break of range high with stop below range low, exit at two R or session close. Backtest on one-minute data, two years, commission and one tick slippage per side. Sample results might show profit factor one point three five with forty-two percent win rate and max drawdown twelve percent—acceptable if trade count exceeds eighty. Review losing streaks around low-volume summer days. Example teaches: session time rules and liquidity filters dominate ORB edge; without them, backtest inflates on a few huge winners.
Compare ORB results on trend days versus range days by tagging index ADX—regime splits reveal hidden weakness.
Example Two: Daily Moving Average Pullback in Uptrend
Rules: price above rising fifty-day SMA on daily chart, entry when price touches twenty-day SMA and closes green, stop below ten-day low, target prior swing high, max hold twenty days. Universe S&P five hundred constituents, five years daily data. Might yield lower win rate near forty-five percent but average win larger than loss. Drawdown clusters in correction years—note 2022-style periods. Example shows swing backtests need adjustment for dividends and survivorship in index membership. Out-of-sample last year tests whether pullback edge survived recent volatility regime.
Swing examples should report average hold time—turnover affects real-world tax and commission drag.
Example Three: Short-Term Mean Reversion at Bollinger Extremes
Rules: five-minute bars, price closes below lower Bollinger band, RSI below thirty, long on next bar if price reclaims band, stop one ATR below entry, target middle band, only trade ten to fifteen Eastern. Intraday mean reversion often shows high win rate but frequent small losses and tail risk on trend days. Backtest must tag trend days—filter index above VWAP and disable shorts against trend. Without regime filter, example strategy looks profitable in chop and bleeds on trend days. Trade log review essential.
Mean reversion backtests without a trend filter are the most common source of live disappointment for new system traders.
What Do These Examples Share?
Explicit rules, defined universe, stated costs, metrics beyond net profit, and regime awareness. Each example fails if you copy parameters without testing your symbols and costs. Use examples as templates for structure—hypothesis, rules, costs, metrics, critique—not as ready-made systems. Document differences when you replicate: your slippage, your session, your broker.
Rebuild one example from scratch in your platform before trusting any third-party performance claim.
How Should You Run Your Own Example Backtest?
Pick the strategy closest to your live style. Clone rule structure. Run three years minimum. Export trades. Compare your profit factor and drawdown to example ranges—large divergence means implementation bug or universe mismatch. Revise one variable at a time. Save report as baseline before optimization. Examples accelerate learning when you treat them as lab exercises, not products to purchase.
Write a one-paragraph post-mortem on each example—what transferred to your market and what did not.