The Moving Average Crossover strategy uses two moving averages of different periods to generate buy and sell signals. It appoximates the idea of a trending market by using 2 exponential moving averages, one short fast EMA(13) and another slow longer EMA(26). It buys whenever a short EMA(13) crosses up a long EMA(26), thereby implying that the direction of the market has changed. It sells once a short EMA(13) crosses down a long EMA(26).
Backtest covers 19.5 months of EURUSD β’ 1 Hour () data, from November 27, 2023 to July 6, 2025.
Equity curve is the strategy's performance over time. You should compare it to the asset's Buy & Hold performance. In general, you want the blue area to be well above the gray area.
Drawdown is how much losses (realized or unrealized) the strategy has had if compared to the highest equity peak. Compare this to the asset's drawdown to see whether your strategy does a decent job of isolating you from downside volatility. In general, the red area must be well within the gray area.
So, we have backtested 13/26 EMA cross on 19.5 months of EURUSD β’ 1 Hour candles.Β This backtest resulted in 167 positions, with the average win rate of 31% and reward-risk ratio of 2.68.Β If you assume that 2.68 reward-to-risk ratio holds, you need a minimum win rate of 27.2 to be profitable. So you're looking good so far.Β The key metrics are as follows:
With that exposure in mind, you can tell that for 53% time-in-market, you get 53.33% of the asset upside potential, and 84.44% of the asset downside potential.
All of the following: # "Mike" 60min Exponential Moving Average (13, 0, close) Crosses β 60min Exponential Moving Average (26, 0, close)
All of the following: # "Kilo" 60min Exponential Moving Average (13, 0, close) Crosses β 60min Exponential Moving Average (26, 0, close)
The backtest shows some interesting mathematical patterns, but I see several red flags that need attention. First thing I notice is the Win Rate of 31% - this looks terrible at first, but when we consider the Risk/Reward ratio of 2.68 and average win size of 0.54% versus average loss of -0.20%, the strategy actually makes mathematical sense.
The most concerning metric is the maximum losing streak of 18 trades. This would require very strict risk management and psychological strength to endure. Even though the strategy has positive expectancy of 0.1 and good win rate leeway of 30.73%, the negative Sharpe (-0.80) and Sortino (-0.85) ratios indicate suboptimal risk-adjusted returns. The market exposure of 53.3% is quite reasonable for this type of strategy.
I would suggest to implement additional filters to improve entry precision. Maybe adding RSI or other momentum indicators could help reduce the false signals. The strategy underperforms buy & hold (4.0% vs 7.5%), which is not optimal for the amount of trades it generates. But the lower drawdown (-7.6% vs -9.0%) shows it has some merit in risk management perspective. Overall, I would classify this as mathematically viable but needs optimization before real trading.
Yo fam, let me break down this EMA cross strategy on EURUSD! π
The strategy's showing some interesting potential with that 4% profit, but TBH the buy & hold did better at 7.5%. What's got me hyped though is that risk/reward ratio of 2.68 - when we win, we win BIG! πͺ The win rate's only 31%, but check this out - we only needed 27.2% to break even, so we're actually crushing it on that front. That's what I call living on the edge and making it work! π―
The drawdown's not too scary at -7.6%, which is actually better than the market's -9%. But that 18-trade losing streak... oof, that would test anyone's diamond hands! ππ The strategy's pretty active with about 17 trades per month, which means plenty of action but not too crazy on the commissions. Looking at those monthly returns, it's been steadily climbing - that 6-month performance of 8.5% is pretty sweet!
This is giving me some serious "slow and steady wins the race" vibes. Not quite YOLO material, but definitely something I might throw some Wendy's paychecks at. Just gotta have the stomach for those losing streaks! ππ΅
Madre mΓa, this strategy is like watching paint dry, but somehow even more disappointing!
The win rate of 31% is pathetically low, even though technically it's above the minimal required 27.2%. Yes, the Risk/Reward ratio of 2.68 makes it mathematically viable, but just barely. It's like trying to cross a bridge made of dental floss - technically possible, but why would you want to?
The most alarming thing is that 18-trade losing streak. Dios mΓo! This would destroy most traders psychologically before they ever get to see any profit. And that -7.6% drawdown? Not terrible in isolation, but combined with the other metrics, it's like adding insult to injury.
The performance is mediocre at best - 4% net profit over 19.5 months when buy & hold gave 7.5%? This is embarassing, amigo. You're essentially paying commission and spending time to underperform the market. The negative Sharpe and Sortino ratios are just screaming "stay away" in your face.
Look, if you want to waste your time with this strategy, that's your choice. But don't come crying to me when your account bleeds slowly to death from a thousand paper cuts of small losses. There are better ways to trade EMA crosses, if you must use them at all.
Total Trades | 167 | Net Profit | 4.0% | Buy & Hold Profit | 7.5% |
Win Rate | 31% | Reward/Risk Ratio | 2.68 | Max Drawdown | -7.6% |
Asset Max Drawdown | -9.0% | Exposure | 53.3% | Avg Candles in Position | 29.5 |
Sharpe Ratio | -0.80 | Sortino Ratio | -0.85 | Realized Volatility | 4.55% |
Max Winning Streak | 3 | Avg Winning Streak | 1.4 | Max Losing Streak | 18 |
Avg Losing Streak | 3.1 | Avg Trades per Month | 17.1 | Avg Trades per Day | 0.6 |
Return Std Dev | 0.5 | Loss Std Dev | 0.1 | Win Std Dev | 0.7 |
Expectancy | 0.1 | Beta | 0.53 |
backtest | exposure | peformance vs asset | drawdown vs asset | win% | reward/risk |
---|---|---|---|---|---|
SPY β’ 10 Minutes | 60% | (7.3%/14.0%) 0.52x | (-10.2%/-20.7%) 0.49x | 34 | 2.3 |
BTCUSDT β’ 1 Hour | 55% | (46.4%/66.0%) 0.70x | (-32.0%/-30.6%) 1.05x | 34 | 2.6 |
EURUSD β’ 1 Hour | 53% | (4.0%/7.5%) 0.53x | (-7.6%/-9.0%) 0.84x | 31 | 2.7 |
SPY β’ 1 Hour | 62% | (51.8%/109.4%) 0.47x | (-17.6%/-35.1%) 0.50x | 43 | 1.9 |
BTCUSDT β’ Daily | 55% | (1428.5%/1223.3%) 1.17x | (-57.5%/-76.6%) 0.75x | 48 | 5.6 |
EURUSD β’ Daily | 47% | (7.7%/11.3%) 0.68x | (-14.5%/-23.3%) 0.62x | 31 | 2.9 |
SPY β’ Daily | 68% | (324.3%/1315.7%) 0.25x | (-33.7%/-56.7%) 0.59x | 45 | 2.4 |