13/26 EMA crosslong
Resultados de Backtest @ BTCUSDT • Daily

La estrategia de Cruce de Medias Móviles utiliza dos medias móviles de diferentes períodos para generar señales de compra y venta. Aproxima la idea de un mercado en tendencia usando 2 medias móviles exponenciales, una EMA corta y rápida (13) y otra EMA larga y lenta (26). Compra cuando una EMA corta (13) cruza hacia arriba una EMA larga (26), implicando que la dirección del mercado ha cambiado. Vende cuando una EMA corta (13) cruza hacia abajo una EMA larga (26).

Curva de Equidad

El backtest cubre 5.7 years de datos BTCUSDT • Daily (), desde October 8, 2019 hasta July 5, 2025.

La curva de equidad es el rendimiento de la estrategia a lo largo del tiempo. Debes compararla con el rendimiento de Compra y Mantén del activo. En general, quieres que el área azul esté bien por encima del área gris.

El drawdown es cuántas pérdidas (realizadas o no realizadas) ha tenido la estrategia si se compara con el pico más alto de equidad. Compara esto con el drawdown del activo para ver si tu estrategia hace un trabajo decente de aislarte de la volatilidad bajista. En general, el área roja debe estar bien dentro del área gris.

Curva de Equidad
Estrategia
Activo
Drawdown de Estrategia
Drawdown de Activo

Entonces, hemos hecho backtest de 13/26 EMA cross en 5.7 years de velas BTCUSDT • Daily. Este backtest resultó en 27 posiciones, con una tasa de ganancia promedio de 48% y una relación riesgo-recompensa de 5.61. Si asumes que la relación riesgo-recompensa de 5.61 se mantiene, necesitas una tasa de ganancia mínima de 15.1 para ser rentable. Así que vas bien hasta ahora. Sin embargo, 27 posiciones es una muestra pequeña, así que toma los resultados con mucha cautela. Las métricas clave son las siguientes:

  1. Retorno Total: Retorno Total: 1428.50% vs 1223.30% para el activo
  2. Máximo Drawdown: Máximo Drawdown: -57.50% vs -76.60% para el activo
  3. Exposición: Exposición: 55.30% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 48.0%, vs 15.1% mínimo
  5. Relación Riesgo/Recompensa: Relación Riesgo/Recompensa: 5.61

Con esa exposición en mente, puedes ver que para 55% tiempo-en-mercado, obtienes 116.77% del potencial alcista del activo, y 75.07% del potencial bajista del activo.

13/26 EMA cross: entrar en una posición cuando

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

13/26 EMA cross: salir de una posición cuando

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

13/26 EMA cross @ BTCUSDT • Daily (1428.5%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The 13/26 EMA cross strategy shows some interesting characteristics, but I have concerns about its statistical robustness. 27 trades over 5.7 years is quite low - that's less than 0.8 trades per month. This small sample size makes it difficult to draw reliable conclusions.

The win rate of 48% combined with the impressive risk/reward ratio of 5.61 looks mathematically promising. The strategy shows good alpha with 1428.5% net profit versus 1223.3% buy & hold return. However, the max drawdown of -57.5% is significant, even though it's better than the asset's -76.6%. What worries me most is the 6-trade losing streak - with such infrequent trading, this could mean several months of consecutive losses which could be psychologically challenging to handle.

From pure mathematics perspective, the strategy shows promise with its high expectancy of 2.2 and substantial win rate leeway of 47.85%. But I would want to see how stable these metrics remain across different market conditions. The low trade frequency makes me skeptical about the strategy's reliability in real-world application. I would suggest testing it on different timeframes to potentially increase the sample size without compromising the edge.

Mike

Autor

Yo fam, this EMA cross strategy is looking pretty juicy! 🚀 We're talking about beating buy & hold by like 200% over 5+ years, that's some serious tendies right there! 💎🙌

The risk/reward ratio of 5.61 is absolutely bonkers - when we win, we're bagging an average of 50% gains, but our losses are kept tight at around -9%. That's the kind of asymmetric betting I live for at Wendy's! And check this out - we only need a 15% win rate to break even, but we're hitting 48%. That's like having a 4x safety cushion! 🎯

Not gonna lie though, that 6-trade losing streak and -57.5% drawdown is pretty rough. You'd need diamond hands to hold through that, but that's what separates the paper hands from the real degenerates lol. Plus we're only in the market about 55% of the time, so we're not constantly exposed to those nasty BTC dumps. 📉

This is the kind of strategy that could turn my Wendy's paycheck into a Lambo fund if I size my positions right and don't get too greedy. Not financial advice though - I'm just a dude who flips burgers and dreams big! 🍔🏎️

Sarah

Autor

Oh Dios mío, let me tell you what's wrong with this backtest - and there's plenty wrong here!

First off, only 27 trades in almost 6 years? That's ridiculously low! You're basically sitting on your hands most of the time, which explains that pathetic 55.3% market exposure. And with a 48% win rate, you're literally losing more often than winning - it's like throwing darts blindfolded!

The most alarming thing here is that -57.5% drawdown. Are you prepared to lose more than half your money? Because that's what this strategy is showing you! Just because you got lucky with some big winners (50.42% average win vs -8.98% average loss) doesn't mean this is sustainable. That 6-trade losing streak should make anyone nervous!

Look, I know the total return looks impressive at 1428.5%, but let's be real - you're barely beating buy & hold (1223.3%) while taking on all this extra risk and complexity. And with less than 1 trade per month, you could literally go on vacation for months and not miss anything.

This is exactly the kind of strategy that looks good on paper but will absolutely destroy your account in real trading. The sample size is too small, the drawdowns are too big, and the win rate is mediocre at best. Back to the drawing board!

Métricas tabulares de 13/26 EMA cross sometido a backtest en BTCUSDT • Daily

Total de Operaciones27Beneficio Neto1428.5%Beneficio Compra y Mantén1223.3%
Tasa de Ganancia48%Ratio Riesgo/Recompensa5.61Máximo Drawdown-57.5%
Máximo Drawdown del Activo-76.6%Exposición55.3%Promedio de Velas en Posición41.8
Ratio de Sharpe0.81Ratio de Sortino1.41Volatilidad Realizada41.10%
Racha Máxima de Ganancia3Racha Promedio de Ganancia1.9Racha Máxima de Pérdida6
Racha Promedio de Pérdida2.3Promedio de Operaciones por Mes0.8Promedio de Operaciones por Día0.0
Desv. Est. del Retorno70.6Desv. Est. de la Pérdida5.9Desv. Est. de la Ganancia93.8
Expectativa2.2Beta0.48

Todos los backtests para 13/26 EMA cross

common.strategyexposiciónrendimiento vs activodrawdown vs activotasa de gananciarecompensa/ riesgo
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