13/26 EMA crosslong
Backtest-Ergebnisse @ SPY • Daily

Die Moving Average Crossover Strategie verwendet zwei gleitende Durchschnitte unterschiedlicher Perioden, um Kauf- und Verkaufssignale zu generieren. Sie nähert sich der Idee eines trendigen Marktes durch die Verwendung von 2 exponentiellen gleitenden Durchschnitten, einem kurzen schnellen EMA(13) und einem anderen langsamen längeren EMA(26). Sie kauft, wenn ein kurzer EMA(13) einen langen EMA(26) nach oben kreuzt, was impliziert, dass sich die Richtung des Marktes geändert hat. Sie verkauft, sobald ein kurzer EMA(13) einen langen EMA(26) nach unten kreuzt.

Eigenkapitalkurve

Der Backtest umfasst 32.4 years von SPY • Daily () Daten, von January 29, 1993 bis July 3, 2025.

Die Eigenkapitalkurve zeigt die Leistung der Strategie im Zeitverlauf. Sie sollten sie mit der Buy & Hold Performance des Assets vergleichen. Im Allgemeinen sollte der blaue Bereich deutlich über dem grauen Bereich liegen.

Drawdown zeigt, wie viel Verluste (realisiert oder nicht realisiert) die Strategie im Vergleich zum höchsten Eigenkapitalpeak hatte. Vergleichen Sie dies mit dem Drawdown des Assets, um zu sehen, ob Ihre Strategie eine anständige Arbeit leistet, Sie von Abwärtsvolatilität zu isolieren. Im Allgemeinen muss der rote Bereich gut innerhalb des grauen Bereichs liegen.

Eigenkapitalkurve
Strategie
Asset
Strategie Drawdown
Asset Drawdown

Also haben wir 13/26 EMA cross über 32.4 years von SPY • Daily Kerzen getestet. Dieser Backtest ergab 125 Positionen, mit einer durchschnittlichen Gewinnrate von 45% und einem Risiko-Rendite-Verhältnis von 2.44. Wenn Sie annehmen, dass das 2.44 Risiko-Rendite-Verhältnis gilt, benötigen Sie eine Mindestgewinnrate von 29.1, um profitabel zu sein. Sie stehen also gut da. Die wichtigsten Metriken sind wie folgt:

  1. Gesamtrendite: Gesamtrendite: 324.30% vs 1315.70% für das Asset
  2. Maximaler Drawdown: Maximaler Drawdown: -33.70% vs -56.70% für das Asset
  3. Exposition: Exposition: 68.10% Zeit im Markt
  4. Gewinnrate: Gewinnrate: 45.0%, vs 29.1% Minimum
  5. Risiko/Rendite-Verhältnis: Risiko/Rendite-Verhältnis: 2.44

Mit dieser Exposition können Sie erkennen, dass Sie bei 68% Marktzeit 24.65% des Asset-Aufwärtspotenzials und 59.44% des Asset-Abwärtspotenzials erhalten.

13/26 EMA cross: Position eingehen wenn

All of the following: # "Mike"
  D Exponential Moving Average (13, 0, close) Crosses ↗ D Exponential Moving Average (26, 0, close)

13/26 EMA cross: Position verlassen wenn

All of the following: # "Kilo"
  D Exponential Moving Average (13, 0, close) Crosses ↘ D Exponential Moving Average (26, 0, close)

13/26 EMA cross @ SPY • Daily (324.3%) erklärt von Alex C, Mike, Sarah

Alex C

Autor

The backtest results show some interesting metrics, but I am not very convinced about this strategy's real-world applicability. Let me explain why.

The strategy shows decent risk metrics with a 2.44 risk/reward ratio and good win rate leeway of 44.71% above the minimal required win rate. However, the overall performance significantly underperforms buy & hold (324.3% vs 1315.7%) over this long 32-year period. This is problematic since we are trading SPY, which has strong upward bias. The strategy's market exposure of 68.1% means we are missing out on significant upside moves.

What worries me most is the low trading frequency - only 0.6 trades per month on average. With just 125 trades over 32 years, the statistical significance is questionable. The max drawdown of -33.7% is also concerning, especially given the limited number of trades. The Sharpe ratio of 0.12 is quite poor, indicating the strategy is not delivering good risk-adjusted returns. I would want to see at least 0.5 here for a long-term strategy.

My recommendation would be to either modify the strategy to increase trade frequency while maintaining the positive risk/reward characteristics, or look for different entry/exit conditions altogether. The current implementation, despite some positive metrics, does not appear robust enough for real trading.

Mike

Autor

Yo fam, let me break down this EMA cross strategy on SPY! 🚀

This is one of those OG strategies that's been around forever, and I can see why. We're looking at a solid 324% gain over 32 years, which isn't gonna get us a Lambo tomorrow, but it's definitely better than my Wendy's paycheck! The win rate is sitting at 45% with a juicy 2.44 risk/reward ratio - that's actually pretty sweet because we're making more on winners than we're losing on the L's. 💪

The thing that's got me hyped is that 44.7% win rate leeway - means we've got tons of room for error and the strategy would still be profitable. That's like having a safety net while walking on the moon! But keeping it real, the 33.7% max drawdown might make some paper hands shake. Though compared to SPY's raw 56.7% drawdown, we're actually protecting our tendies better. 📈

Only bummer is we're underperforming buy & hold (1315% vs our 324%), but hey, we're only exposed to the market 68% of the time, so we're taking way less risk. Plus those recent returns are looking spicy - 40.7% in the last year? That's what I'm talking about! 🔥 Would I YOLO my life savings into this? Probably not, but it's definitely worth keeping in the strategy toolkit, especially for managing risk in choppy markets.

Sarah

Autor

Madre de Dios, this strategy is a complete disaster! I can't believe someone would even consider trading this garbage. Let me tell you why this is terrible.

First of all, the strategy severely underperforms buy & hold - 324% vs 1315% over 32 years? That's pathetic! You'd be better off putting your money under your pillow. The market exposure of 68% means you're missing out on a third of the potential gains, while still eating all that risk.

The win rate is absolutely horrible - 45%? Even with a decent risk/reward ratio of 2.44, this is just barely keeping the strategy's head above water. Yes, you have some "leeway" above minimal win rate, but who cares when the overall performance is so mediocre? Having 7 consecutive losing trades is just waiting to destroy someone's account or their nerve.

And let me tell you about those risk metrics - a Sharpe ratio of 0.12 is embarassingly bad! This means you're taking on enormous risk for minimal returns. The 33.7% drawdown is just unaccectable for such poor returns.

The only slightly positive thing I can see is the recent performance in the last 1-2 years, but this is probably just luck and market conditions. Any monkey could have made money in this bull market.

My advice? Delete this strategy and start over. This is amateur hour trading at its finest.

Tabellarische Metriken von 13/26 EMA cross getestet auf SPY • Daily

Gesamttrades125Nettogewinn324.3%Buy & Hold Gewinn1315.7%
Gewinnrate45%Risiko/Rendite-Verhältnis2.44Maximaler Drawdown-33.7%
Asset Maximaler Drawdown-56.7%Exposition68.1%Durchschn. Kerzen in Position43.5
Sharpe-Ratio0.12Sortino-Ratio0.44Realisierte Volatilität10.59%
Max. Gewinnserie4Durchschn. Gewinnserie1.6Max. Verlustserie7
Durchschn. Verlustserie2.0Durchschn. Trades pro Monat0.6Durchschn. Trades pro Tag0.0
Rendite Std Dev6.3Verlust Std Dev2.0Gewinn Std Dev6.5
Erwartungswert0.5Beta0.37

Alle Backtests für 13/26 EMA cross

common.strategyExpositionLeistung vs AssetDrawdown vs AssetGewinnrateRisiko/Rendite
SPY • 10 Minutes
60%(7.3%/14.0%) 0.52x(-10.2%/-20.7%) 0.49x342.3
BTCUSDT • 1 Hour
55%(46.4%/66.0%) 0.70x(-32.0%/-30.6%) 1.05x342.6
EURUSD • 1 Hour
53%(4.0%/7.5%) 0.53x(-7.6%/-9.0%) 0.84x312.7
SPY • 1 Hour
62%(51.8%/109.4%) 0.47x(-17.6%/-35.1%) 0.50x431.9
BTCUSDT • Daily
55%(1428.5%/1223.3%) 1.17x(-57.5%/-76.6%) 0.75x485.6
EURUSD • Daily
47%(7.7%/11.3%) 0.68x(-14.5%/-23.3%) 0.62x312.9
SPY • Daily
68%(324.3%/1315.7%) 0.25x(-33.7%/-56.7%) 0.59x452.4