Trend + Mean Reversion Hybrid
Combines trend following with mean reversion. First confirms long-term trend direction, then enters on short-term oversold pullbacks within that trend. Captures trend moves at better entry points.
At a glance
What the backtest shows
- Beat buy-and-hold on 4 of 10 markets by annual return over 5 years.
- Had a smaller maximum drawdown than buy-and-hold on 10 of 10 markets.
- Best market by Sharpe ratio: ETH-USD (Sharpe 0.57, CAGR 11.6%).
- Weakest market: UNG (Sharpe -0.67, CAGR -10.7%).
Equity curve
Score and risk profile
Each bar is a percentile against every strategy on the same market and window (100 = best).
How it held up in sell-offs (SPY)
| Period | Strategy | Buy & hold |
|---|---|---|
| Q4 2018 sell-off | -3.0% | -19.2% |
| COVID crash (Feb–Mar 2020) | -2.9% | -33.7% |
| 2022 bear market | -3.0% | -24.5% |
| Market above its 200-day average (annualized) · 81% | +3.5% | +12.5% |
| Market below its 200-day average (annualized) · 19% | +0.3% | +19.8% |
Sell-off dates follow the US stock market. Above/below the 200-day average uses the previous day's position, so there is no look-ahead.
Out-of-sample check (SPY)
| Check | Value |
|---|---|
| Chosen parameters on their 3-year training windows (average Sharpe) | 0.83 |
| Same parameters in the following 6 months, when traded (Sharpe) | 0.67 |
| Default parameters over the same months (Sharpe) | 0.51 |
| Parameter re-selections / changes | 28 / 11 |
| Parameter settings with a positive Sharpe (full history) | 9 of 9 |
| Sharpe across settings: worst / median / best | 0.08 / 0.42 / 0.56 |
Out-of-sample periods start on 2013-01-04. Training-window figures are flattered by picking the best of 9 settings; the out-of-sample figure is what the strategy actually earned. A large drop, or a result that depends on one setting, points to overfitting. How walk-forward testing works.
Results by market (5 years)
| Market | CAGR | Buy & hold CAGR | Sharpe | Max drawdown | Buy & hold max DD | Volatility | Arena Score |
|---|---|---|---|---|---|---|---|
| ETH-USDEthereum | 11.6% | -15.1% | 0.57 | -14.1% | -79.0% | 15.3% | 83 |
| SPYSPDR S&P 500 | 2.0% | 11.6% | 0.38 | -8.8% | -24.5% | 5.5% | 46 |
| DBAInvesco DB Agriculture | 1.8% | 8.8% | 0.31 | -9.4% | -15.9% | 6.5% | 42 |
| BTC-USDBitcoin | 4.6% | 2.6% | 0.29 | -26.8% | -75.9% | 13.6% | 65 |
| SLViShares Silver Trust | 1.2% | 15.2% | 0.16 | -17.0% | -57.8% | 14.8% | 44 |
| EURUSD=XEUR/USD | 0.3% | -0.7% | 0.14 | -4.5% | -17.2% | 2.2% | 72 |
| USOUnited States Oil Fund | -2.1% | 20.2% | -0.11 | -27.8% | -36.2% | 12.3% | 23 |
| GLDSPDR Gold Shares | -1.3% | 16.4% | -0.17 | -16.6% | -28.3% | 6.7% | 22 |
| DBCInvesco DB Commodity Index | -3.8% | 10.8% | -0.57 | -21.1% | -27.3% | 6.8% | 11 |
| UNGUnited States Natural Gas | -10.7% | -30.7% | -0.67 | -45.7% | -93.3% | 15.5% | — |
Strategy metrics use daily returns without trading costs. Buy-and-hold figures are for the same market and window. Rows are sorted by Sharpe ratio.
SPY across time windows
Rules
Entry
Price > 200 MA (uptrend) AND RSI < 35 (pullback)
Exit
RSI > 50 (recovered) OR Price < 200 MA (trend break)
Indicators
Long-term MA for trend RSI for mean reversion
Inputs
Trend_MA = 200 Short_MA = 20 RSI_Period = 14 RSI_Oversold = 35
Position sizing
Fixed 100% allocation
Risk controls
Only trade in direction of trend
Strategy evidence
- BTC-USD · Inspect evidence 2026-11-10
- DBA · Inspect evidence 2026-11-10
- DBC · Inspect evidence 2026-11-10
- ETH-USD · Inspect evidence 2026-11-10
- EURUSD=X · Inspect evidence 2026-11-10
- GLD · Inspect evidence 2026-11-10
- SLV · Inspect evidence 2026-11-10
- SPY · Inspect evidence 2026-11-10
- UNG · Inspect evidence 2026-11-10
- USO · Inspect evidence 2026-11-10
Only available, validated bundles appear below. Missing evidence is not a passing validation result.
Evidence coverage
10 / 10 declared strategy–market pairs validated
Notes
- Buy the dip in an uptrend
- Trend filter prevents fighting the market
- Better entries than pure trend following
Related strategies
Embed this score
Add the live badge to a blog post, README or forum signature. It updates with the daily data.
<a href="https://quantarenas.com/strategy/combo-04-trend-mean-reversion-hybrid/"><img src="https://quantarenas.com/badge/combo-04-trend-mean-reversion-hybrid.svg" alt="Trend + Mean Reversion Hybrid Arena Score on Quant Arena" height="20"></a>
[](https://quantarenas.com/strategy/combo-04-trend-mean-reversion-hybrid/)
Backtests are historical simulations on daily data and do not include commissions or slippage. They do not guarantee future results and are not investment advice. See the methodology for how every strategy is tested.