The long-only mean-reversion strategy for trading SPY and QQQ is based on two popular indicators.
The strategy rules are available with a purchase of the strategy bundle. This offer may end at any time.
For all backtests in this article, we used Norgate data. We highly recommend this data service (we do not have a referral arrangement with the company).
Name of strategy: MRFREE
Timeframe: Daily (adjusted data)
Markets: SPY and QQQ ETFs
Strategy type: Long-only mean-reversion
Position size: 100% of available equity.
Execution: All trades are executed at the open of the next bar
Backtest range: 01/29/1993 – 06/14/2023 (SPY) and 01/2/2002 –06/14/2023 (QQQ)
Note that the strategy is not optimized for the highest annualized return.
SPY: Equity curve, yearly returns, drawdown profile, and histogram of daily returns
There are only two losing years. The annualized return is 10.5%, and Sharpe is 0.68.
QQQ: Equity curve, yearly returns, drawdown profile, and histogram of daily returns
There are four losing years. The annualized return is 11.8%, and Sharpe is 0.61.
|SPY ETF||QQQ ETF|
|AVG. BARS IN TRADE||4.1||4.5|
|# OF LOSING YEARS||2||4|
About the risks of mean-reversion strategies
Mean-reversion methods are risky since the trades typically go against the short-term trend, and stop-loss orders cannot be employed efficiently because, in the majority of instances, they destroy profitability.
Mean-reversion strategies are only good for experienced traders who know how to manage risk and are willing to take on big risks.
When using a profitable mean-reversion strategy, inexperienced traders may lose money because they are afraid to act on signals that are risky at first but pay off in the long run.
Disclaimer: No part of the analysis in this blog constitutes a trade recommendation. The past performance of any trading system or methodology is not necessarily indicative of future results. Read the full disclaimer here.
Charting and backtesting program: Amibroker. Data provider: Norgate Data