13/26 EMA crosslong
Resultados de Backtest @ EURUSD • 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 9.6 years de datos EURUSD • Daily (), desde December 2, 2015 hasta July 3, 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 9.6 years de velas EURUSD • Daily. Este backtest resultó en 39 posiciones, con una tasa de ganancia promedio de 31% y una relación riesgo-recompensa de 2.85. Si asumes que la relación riesgo-recompensa de 2.85 se mantiene, necesitas una tasa de ganancia mínima de 26.0 para ser rentable. Así que vas bien hasta ahora. Sin embargo, 39 posiciones es una muestra pequeña, así que toma los resultados con mucha cautela. Las métricas clave son las siguientes:

  1. Retorno Total: Retorno Total: 7.70% vs 11.30% para el activo
  2. Máximo Drawdown: Máximo Drawdown: -14.50% vs -23.30% para el activo
  3. Exposición: Exposición: 47.30% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 31.0%, vs 26.0% mínimo
  5. Relación Riesgo/Recompensa: Relación Riesgo/Recompensa: 2.85

Con esa exposición en mente, puedes ver que para 47% tiempo-en-mercado, obtienes 68.14% del potencial alcista del activo, y 62.23% 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 @ EURUSD • Daily (7.7%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The backtest results show some concerning patterns that I would not trade with real money. Let me explain why.

The strategy produces very few trades - only 39 over 9.6 years, which is roughly 0.7 trades per month. This is problematic because the sample size is too small to make reliable statistical conclusions. The win rate of 31% is quite low, although it is compensated by a good risk/reward ratio of 2.85. The max losing streak of 10 trades in row is particularly worrying - this could destroy account if position sizing is not careful managed.

The performance metrics are also not convincing. The Sharpe ratio is negative at -0.91, indicating poor risk-adjusted returns. The strategy underperforms buy & hold (7.7% vs 11.3%) while only being exposed to market 47.3% of time. The max drawdown of -14.5% is significant given the low overall return. While the strategy shows better performance in recent periods (last 1-3 months), I would not put much weight on such short timeframes due to small sample size.

I must say in my professional opinion, this strategy needs significant improvements before real money trading. The core idea might have potential, but current implementation lacks statistical robustness. Consider adjusting parameters or adding filters to increase trade frequency and improve win rate.

Mike

Autor

Yo fam, let me break down this EMA cross strategy! 🚀 The numbers are kinda interesting, giving me some mixed feels but there's definitely potential here.

First off, that 31% win rate might look scary low, but check this out - when we win, we win BIG (3.87% average wins vs -1.36% average losses). That's almost a 3:1 reward-to-risk ratio! 💎 Plus we're actually above the minimal required win rate with a solid 30.74% leeway, which is pretty sweet for risk management. The strategy is beating the market in some timeframes, especially in shorter periods where we're seeing some juicy gains.

But here's where it gets a bit rough fam - that 10-trade losing streak is no joke 😬 and the -14.5% max drawdown could shake out paper hands. Market exposure at 47.3% means we're not over-trading, but only 0.7 trades per month might be too slow for us Wendy's warriors looking for more action. The negative Sharpe and Sortino ratios are kinda sus too, suggesting we might need to tune this bad boy up a bit.

🤔 Overall, I'd say this strategy has bones but needs some tweaking. Maybe add some filters to avoid those losing streaks? Still, with proper position sizing and diamond hands through the drawdowns, this could be worth a shot with a small portion of the portfolio. Not exactly YOLO material yet, but definitely has potential for some tendies! 🍗

Sarah

Autor

Madre de Dios, what a piece of garbage strategy! Let me tell you why this is complete waste of time.

First, only 39 trades in 9.6 years? That's like watching paint dry in slow motion! And with a pathetic 31% win rate, you're basically paying to lose money. The only thing saving this estrategy from complete disaster is the risk/reward ratio of 2.85, but even that's not enough to compensate for how terrible everything else is.

The most alarming thing - and this makes me want to throw my computer out the window - is that 10-trade losing streak. Imaginate losing 10 trades in a row! Even with good position sizing, this would destroy most trader's confidence and probably their account too. And your average losing streak is 3 trades - absolutely horrible!

The cherry on top of this disaster cake is that it underperforms buy & hold (7.7% vs 11.3%). Why would anyone waste their time with a strategy that makes less money than simply buying and holding? And those negative Sharpe and Sortino ratios? Por favor, this is amateur hour!

Listen, if you're seriously considering this strategy, you need to reconsider your life choices. It's mathematically viable because of the R/R ratio, but practically speaking, it's pure garbage.

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

Total de Operaciones39Beneficio Neto7.7%Beneficio Compra y Mantén11.3%
Tasa de Ganancia31%Ratio Riesgo/Recompensa2.85Máximo Drawdown-14.5%
Máximo Drawdown del Activo-23.3%Exposición47.3%Promedio de Velas en Posición27.4
Ratio de Sharpe-0.91Ratio de Sortino-0.85Volatilidad Realizada4.78%
Racha Máxima de Ganancia3Racha Promedio de Ganancia1.3Racha Máxima de Pérdida10
Racha Promedio de Pérdida3.0Promedio de Operaciones por Mes0.7Promedio de Operaciones por Día0.0
Desv. Est. del Retorno3.6Desv. Est. de la Pérdida1.0Desv. Est. de la Ganancia4.8
Expectativa0.2Beta0.47

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