50/200 SMA crosslong
Backtest-Ergebnisse @ SPY • 10 Minutes

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 SMAs, einem kurzen schnellen SMA(50) und einem anderen langsamen längeren SMA(200). Sie kauft, wenn ein kurzer SMA(50) einen langen SMA(200) nach oben kreuzt, was impliziert, dass sich die Richtung des Marktes geändert hat. Sie verkauft, sobald ein kurzer SMA(50) einen langen SMA(200) nach unten kreuzt. Dies sind ziemlich lange MAs, was bedeutet, dass diese Strategie natürlicherweise dazu gedacht ist, größere Bewegungen zu erfassen, und daher möglicherweise nicht gut für kurze Zeitrahmen geeignet ist. Aber solche Annahmen bedeuten nichts, weil wir es backgetestet haben! Sieh es dir selbst an.

Eigenkapitalkurve

Der Backtest umfasst 12.6 months von SPY • 10 Minutes (SPDR S&P 500) Daten, von June 28, 2024 bis July 11, 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 50/200 SMA cross über 12.6 months von SPY • 10 Minutes Kerzen getestet. Dieser Backtest ergab 29 Positionen, mit einer durchschnittlichen Gewinnrate von 41% und einem Risiko-Rendite-Verhältnis von 1.89. Wenn Sie annehmen, dass das 1.89 Risiko-Rendite-Verhältnis gilt, benötigen Sie eine Mindestgewinnrate von 34.6, um profitabel zu sein. Sie stehen also gut da. Allerdings sind 29 Positionen eine kleine Stichprobe, nehmen Sie die Ergebnisse also mit einer großen Portion Skepsis. Die wichtigsten Metriken sind wie folgt:

  1. Gesamtrendite: Gesamtrendite: 6.60% vs 14.30% für das Asset
  2. Maximaler Drawdown: Maximaler Drawdown: -13.40% vs -20.70% für das Asset
  3. Exposition: Exposition: 59.90% Zeit im Markt
  4. Gewinnrate: Gewinnrate: 41.0%, vs 34.6% Minimum
  5. Risiko/Rendite-Verhältnis: Risiko/Rendite-Verhältnis: 1.89

Mit dieser Exposition können Sie erkennen, dass Sie bei 60% Marktzeit 46.15% des Asset-Aufwärtspotenzials und 64.73% des Asset-Abwärtspotenzials erhalten.

50/200 SMA cross: Position eingehen wenn

All of the following: # "Papa"
  10min Simple Moving Average (50, 0, close) Crosses ↗ 10min Simple Moving Average (200, 0, close)

50/200 SMA cross: Position verlassen wenn

All of the following: # "India"
  10min Simple Moving Average (50, 0, close) Crosses ↘ 10min Simple Moving Average (200, 0, close)

50/200 SMA cross @ SPY • 10 Minutes (6.6%) erklärt von Alex C, Mike, Sarah

Alex C

Autor

The backtest results show some concerning patterns for this classic SMA crossover strategy. The Win Rate of 41% with Risk/Reward of 1.89 looks mathematically viable, but I'm not convinced about its real-world applicability.

The strategy underperforms buy & hold significantly (6.6% vs 14.3%) while still exposing you to significant drawdowns (-13.4%). What worries me most is the low trading frequency - only 29 trades over 12.6 months means we don't have enough statistical significance to trust these numbers. The average trade duration of 205 candles also suggests the strategy is quite slow to react to market changes, which explains the underperformance in volatile periods.

I must say though, the risk metrics are not completely terrible - Beta of 0.34 shows good market independence, and the drawdown is better than the overall market (-13.4% vs -20.7%). But with such low Sharpe (0.36) and Sortino (0.47) ratios, I would not recommend trading this without significant modifications. Perhaps adding momentum filters or optimizing the SMA periods could improve the results, but in its current form, the strategy needs more work to be viable.

Mike

Autor

Yo fam, let me break down this 50/200 SMA cross strategy on SPY! 🚀

Looking at these numbers, it's giving me some mixed vibes tbh. The strategy's got a decent risk/reward ratio of 1.89 and that win rate leeway is absolutely bonkers at 4065% above the minimum - that's some serious cushioning! 💪 Plus, those average wins are nearly double the size of average losses, which is pretty sweet.

But here's the thing bros - we're only catching about 46% of the market's total gains (6.6% vs 14.3% buy & hold), and that 41% win rate could definitely be better. The max drawdown of -13.4% is actually not too shabby compared to the asset's -20.7%, so we're managing risk decent enough. Market exposure at 59.9% means we're staying safe during choppy times, which I dig. 🏄‍♂️

Overall, this strategy isn't exactly YOLO material, but it could be a solid base to build on. Maybe add some momentum indicators or volume confirmation to boost that win rate? I'd probably throw a small portion of my Wendy's checks at this while I keep tweaking it. Just remember, past performance doesn't guarantee future tendies! 🍗

Sarah

Autor

Madre mía, this is one of the most mediocre strategies I have seen in my career! Let me tell you why this is basically throwing money into garbage.

First, your win rate is pathetic - only 41%! Even though your Risk/Reward ratio of 1.89 technically makes this mathematically viable, you're basically hoping to catch big winners while accepting frequent losses. This is mentally exhausting and most traders would break down psychologically before seeing any real profits.

The performance is embarassing - 6.6% net profit when buy & hold gave 14.3%? ¡Qué desastre! You're basically paying commission fees and spending time to make HALF of what you could make by simply buying and forgetting. The Sharpe ratio of 0.36 is terrible - you're taking on risk without adequate compensation.

The only somewhat decent thing here is your Win Rate Leeway being positive, but honestly, that's like being proud of getting a D- instead of failing completely. The strategy produces very few trades (only 29 in over a year!) which means your sample size is too small to be statistically meaningful.

¡Por favor! Do yourself a favor and either stick to buy & hold or develop something that actually adds value instead of destroying it. This strategy belongs in the trash bin.

Tabellarische Metriken von 50/200 SMA cross getestet auf SPY • 10 Minutes

Gesamttrades29Nettogewinn6.6%Buy & Hold Gewinn14.3%
Gewinnrate41%Risiko/Rendite-Verhältnis1.89Maximaler Drawdown-13.4%
Asset Maximaler Drawdown-20.7%Exposition59.9%Durchschn. Kerzen in Position205.7
Sharpe-Ratio0.36Sortino-Ratio0.47Realisierte Volatilität10.65%
Max. Gewinnserie2Durchschn. Gewinnserie1.3Max. Verlustserie4
Durchschn. Verlustserie2.1Durchschn. Trades pro Monat4.6Durchschn. Trades pro Tag0.2
Rendite Std Dev2.1Verlust Std Dev1.2Gewinn Std Dev1.2
Erwartungswert0.2Beta0.34

Alle Backtests für 50/200 SMA cross

common.strategyExpositionLeistung vs AssetDrawdown vs AssetGewinnrateRisiko/Rendite
BTCUSDT • 1 Minute
57%(5.4%/8.9%) 0.61x(-2.0%/-1.9%) 1.05x395.4
EURUSD • 1 Minute
61%(-1.1%/-1.0%) 1.10x(-1.2%/-1.2%) 1.00x201.1
GLD • 1 Minute
52%(1.7%/0.0%) Infinityx(-2.5%/-5.5%) 0.45x362.5
NVDA • 1 Minute
61%(1.2%/16.7%) 0.07x(-7.9%/-4.4%) 1.80x282.9
SPY • 1 Minute
60%(0.5%/4.6%) 0.11x(-2.5%/-2.1%) 1.19x332.3
TSLA • 1 Minute
47%(6.6%/-10.3%) -0.64x(-11.2%/-21.4%) 0.52x392.1
WMT • 1 Minute
41%(-0.5%/-5.4%) 0.09x(-3.9%/-6.4%) 0.61x292.4
BTCUSDT • 10 Minutes
57%(18.2%/22.4%) 0.81x(-8.6%/-12.1%) 0.71x413.1
EURUSD • 10 Minutes
55%(2.5%/5.8%) 0.43x(-2.2%/-4.3%) 0.51x382.4
GLD • 10 Minutes
58%(26.1%/43.7%) 0.60x(-5.9%/-8.3%) 0.71x543.1
NVDA • 10 Minutes
57%(5.0%/32.9%) 0.15x(-33.4%/-42.8%) 0.78x441.4
SPY • 10 Minutes
60%(6.6%/14.3%) 0.46x(-13.4%/-20.7%) 0.65x411.9
TSLA • 10 Minutes
47%(18.4%/59.0%) 0.31x(-34.8%/-55.3%) 0.63x411.9
WMT • 10 Minutes
60%(37.4%/40.1%) 0.93x(-10.3%/-23.8%) 0.43x621.8
BTCUSDT • 1 Hour
56%(36.4%/68.2%) 0.53x(-31.3%/-30.6%) 1.02x432.2
EURUSD • 1 Hour
50%(6.9%/6.8%) 1.01x(-5.7%/-9.0%) 0.63x422.4
GLD • 1 Hour
60%(35.8%/117.6%) 0.30x(-26.6%/-22.2%) 1.20x363.0
NVDA • 1 Hour
61%(783.4%/3126.3%) 0.25x(-51.4%/-68.0%) 0.76x523.5
SPY • 1 Hour
64%(85.7%/106.7%) 0.80x(-19.0%/-35.1%) 0.54x612.3
TSLA • 1 Hour
55%(2930.2%/1395.5%) 2.10x(-38.7%/-75.1%) 0.52x566.0
WMT • 1 Hour
60%(33.6%/138.2%) 0.24x(-28.4%/-26.9%) 1.06x501.6
BTCUSDT • Daily
59%(638.7%/1337.5%) 0.48x(-61.1%/-76.6%) 0.80x837.3
EURUSD • Daily
35%(4.8%/10.8%) 0.44x(-12.2%/-23.3%) 0.52x710.7
GLD • Daily
61%(242.9%/595.1%) 0.41x(-36.4%/-45.3%) 0.80x466.4
NVDA • Daily
65%(83183.3%/373678.5%) 0.22x(-57.1%/-90.0%) 0.63x7716.0
SPY • Daily
72%(1127.3%/1316.3%) 0.86x(-32.5%/-56.7%) 0.57x873.8
TSLA • Daily
57%(3139.0%/24185.2%) 0.13x(-65.4%/-75.0%) 0.87x3825.3
WMT • Daily
64%(1143.9%/13022.2%) 0.09x(-57.1%/-50.6%) 1.13x398.1