I Backtested Same-Weekday Return Continuation — Here's What Happened
Turning calendar rhythms into a systematic trading edge sounds appealing, but capturing steady annualized gains required enduring steep drops along the journey. Based on historical simulation, this high-risk strategy generated 12.8% annualized returns while exposing capital to a painful 27.0% peak-to-trough drop. This briefing dissects the rule mechanics, evaluates how it stacks up against the broader market, and examines whether the uneven return path justifies the risk.
📈 Yearly return (CAGR): 12.8%
📉 Worst drop (max drawdown): -27.0%
⚡ Sharpe Ratio: 0.66
💰 Total Return: 230.1%
🆚 S&P 500 (SPY) over the same period: 253.1% — this strategy underperformed by 23.0 points
🎯 Universe: QQQ_TOP100_DYNAMIC
| Metric | Same-Weekday Return Continuation | S&P 500 (SPY) |
|---|---|---|
| Total return | 230.1% | 253.1% |
| Worst drop (max drawdown) | -27.0% | -34.1% |
| Period measured | 2016-10-07 – 2026-09-18 | |
Both columns come from the same backtest run over the identical period. A higher return with a deeper drawdown is not automatically better.
| 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|---|---|
| +5.1% | +22.2% | +7.8% | +28.1% | +1.1% | +13.2% | -7.4% | +41.7% | -2.1% | +14.5% | +10.5% |
How the Rule Works
The model first applies a structural trend filter, taking long positions only when the broad market index trades above its 200-day moving average and holding cash completely when below. Each morning in an eligible market, it scans the top one hundred tech leaders and enters the top performers that exhibited the strongest return continuation on that exact day of the week over past weeks. Rather than holding rigidly until the closing bell, the strategy exits early when intraday price movement extends beyond expected standard-deviation volatility bands to lock in gains. Furthermore, entry signals are paused entirely whenever broad market turbulence spikes, protecting capital from sudden volatility shocks.
Performance Relative to the S&P 500
Over the same backtest period, the strategy underperformed the S&P 500 by 23.0 percentage points, delivering a 230.1% total return compared to the benchmark's 253.1%. However, the index endured a deeper maximum drawdown of -34.1% versus the strategy's -27.0% drop, proving that a higher total return accompanied by greater downside severity is not automatically better. The strategy can beat the market during prolonged downtrends because its 200-day trend filter moves entirely to cash before systemic crashes unfold. Conversely, it loses ground during powerful equity rallies because frequent cash sidelines and intraday volatility stops cap upside participation in runaway tech winners.
Where the Strategy Hurts
The real pain lies in return clustering and painful recovery delays rather than the headline annual average. Despite recording 9 positive years and 2 negative years, the equity curve features severe multi-month drawdowns that test investor discipline. Rapid shifts in market regime trigger whipsaw losses when the trend filter repeatedly enters and exits around the moving average. In addition, rotating daily across tech leaders creates substantial friction through trading costs, spread slippage, and taxable turnover that degrade real-world compounding.
Who This Strategy Fits
With a high-risk verdict and a 27.0% peak-to-trough decline constraint, this rule fits only aggressive quantitative investors capable of withstanding deep capital drawdowns. Traded capital must be sized conservatively so an investor can survive multi-month losing periods without abandoning the systematic model mid-stream. It serves best as a specialized tactical sleeve in a diversified multi-strategy portfolio rather than a core long-term equity allocation. Crucially, investors must treat this as a historical simulation with integrity limits rather than an assurance of future live returns.
Frequently Asked Questions
How risky is the Same-Weekday Return Continuation strategy?
The strategy is classified as high risk due to its volatile universe of tech equities and a simulated maximum drawdown of 27.0%. Investors must endure substantial equity swings and extended recovery periods to capture its returns.
Can this strategy be implemented and traded today?
Yes, but live implementation requires automated infrastructure to execute daily morning rebalancing and monitor intraday volatility exit bands across 100 tech stocks. Traders must also account for transaction fees and real-world order slippage that can diminish performance.
What key assumptions are included in this backtest?
The backtest assumes frictionless daily rebalancing at market opens, zero trading commissions or slippage, and immediate exits at calculated volatility bands. It also assumes the 200-day moving average and weekday momentum anomalies persist consistently across different market regimes.
| Period | 2016-10-07 – 2026-09-18 |
| Universe | QQQ_TOP100_DYNAMIC |
| Years with a gain | 9 of 11 |
| Price data | FinanceDataReader daily bars |
What this does not prove. No out-of-sample split and no parameter-sensitivity test were run, so these figures may be flattered by hindsight. Signals are computed only from bars that closed before the session they trade. Full assumptions, including which integrity checks are unverified: avalonquant.com/methodology.
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▶ Subscribe to Avalon Quant⚠️ Not financial advice. This is for educational purposes only. These results come from a historical backtest — past performance does not guarantee future results. Always do your own research before investing.
📊 Live strategy performance and daily quant briefings: avalonquant.com
📄 Original paper: Same-Weekday Momentum
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