50/200 SMA crosslong
Resultados de Backtest @ NVDA β€’ 1 Hour

La estrategia de Cruce de Medias MΓ³viles utiliza dos medias mΓ³viles de diferentes perΓ­odos para generar seΓ±ales de compra y venta. Aproxima la idea de un mercado en tendencia usando 2 SMAs, una SMA corta y rΓ‘pida (50) y otra SMA larga y lenta (200). Compra cuando una SMA corta (50) cruza hacia arriba una SMA larga (200), implicando que la direcciΓ³n del mercado ha cambiado. Vende cuando una SMA corta (50) cruza hacia abajo una SMA larga (200). Estas son medias mΓ³viles bastante largas, lo que significa que esta estrategia estΓ‘ naturalmente destinada a capturar movimientos mΓ‘s grandes, y por lo tanto podrΓ­a no ser adecuada para marcos de tiempo cortos. Β‘Pero suposiciones como esa no significan nada, porque la hemos backtesteado! CompruΓ©balo tΓΊ mismo.

Curva de Equidad

El backtest cubre 5.7 years de datos NVDA β€’ 1 Hour (NVIDIA Corporation), desde October 25, 2019 hasta July 11, 2025.

La curva de equidad es el rendimiento de la estrategia a lo largo del tiempo. Debes compararla con el rendimiento de Compra y MantΓ©n del activo. En general, quieres que el Γ‘rea azul estΓ© bien por encima del Γ‘rea gris.

El drawdown es cuΓ‘ntas pΓ©rdidas (realizadas o no realizadas) ha tenido la estrategia si se compara con el pico mΓ‘s 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 Γ‘rea roja debe estar bien dentro del Γ‘rea gris.

Curva de Equidad
Estrategia
Activo
Drawdown de Estrategia
Drawdown de Activo

Entonces, hemos hecho backtest de 50/200 SMA cross en 5.7 years de velas NVDA β€’ 1 Hour.Β Este backtest resultΓ³ en 27 posiciones, con una tasa de ganancia promedio de 52% y una relaciΓ³n riesgo-recompensa de 3.52.Β Si asumes que la relaciΓ³n riesgo-recompensa de 3.52 se mantiene, necesitas una tasa de ganancia mΓ­nima de 22.1 para ser rentable. AsΓ­ que vas bien hasta ahora.Β Sin embargo, 27 posiciones es una muestra pequeΓ±a, asΓ­ que toma los resultados con mucha cautela.Β Las mΓ©tricas clave son las siguientes:

  1. Retorno Total: Retorno Total: 783.40% vs 3126.30% para el activo
  2. MΓ‘ximo Drawdown: MΓ‘ximo Drawdown: -51.40% vs -68.00% para el activo
  3. ExposiciΓ³n: ExposiciΓ³n: 61.00% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 52.0%, vs 22.1% mΓ­nimo
  5. RelaciΓ³n Riesgo/Recompensa: RelaciΓ³n Riesgo/Recompensa: 3.52

Con esa exposiciΓ³n en mente, puedes ver que para 61% tiempo-en-mercado, obtienes 25.06% del potencial alcista del activo, y 75.59% del potencial bajista del activo.

50/200 SMA cross: entrar en una posiciΓ³n cuando

All of the following: # "Papa"
  60min Simple Moving Average (50, 0, close) Crosses β†— 60min Simple Moving Average (200, 0, close)

50/200 SMA cross: salir de una posiciΓ³n cuando

All of the following: # "India"
  60min Simple Moving Average (50, 0, close) Crosses β†˜ 60min Simple Moving Average (200, 0, close)

50/200 SMA cross @ NVDA β€’ 1 Hour (783.4%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The backtest results show some interesting metrics, but I have concerns about the reliability. The strategy seems to produce very few trades - only 27 over 5.7 years. This is problematic from statistical perspective, as we need more data points for reliable conclusions.

The win rate of 52% combined with a good risk/reward ratio of 3.52 looks promising at first glance. However, the max drawdown of 51.4% is quite high, which could be difficult to handle psychologically. The strategy significantly underperforms buy & hold (783.4% vs 3126.3%), which is not optimal for a stock like NVDA that has been in strong uptrend.

I see red flags in the trading frequency - with only 0.8 trades per month, this strategy might be too passive. Also, the performance metrics across different timeframes are inconsistent - showing both extremely high gains and significant losses. This suggests the strategy might not be robust enough. I would recommend either adjusting the parameters to generate more signals or looking for additional confirmation indicators to improve reliability.

Mike

Autor

Yo fam, check out these juicy NVDA results! πŸš€ This 50/200 SMA cross strategy is showing some serious potential, even though it's not beating the insane buy & hold returns (I mean, it's NVIDIA we're talking about, that thing's been on fire! πŸ”₯).

The stats are actually pretty sweet - 3.52 risk/reward ratio is no joke, and that 52% win rate with 33% average wins vs 9% average losses is looking clean! What really gets me hyped is that win rate leeway - we only need 22% to break even, but we're hitting 52%. That's like having a massive safety net under our trading bridge, fam! πŸ’ͺ

But keeping it real though - that 51% max drawdown is pretty scary (though still better than holding through NVDA's 68% drops), and we're only getting like 1 trade per month. Plus that -198% performance in the 1Y period is kinda sus. Still, looking at those 2Y+ returns (350-720% gains) makes me wanna YOLO my next paycheck into this! πŸ€‘ Just kidding... unless?

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, only 27 trades in almost 6 years? That's ridiculous! You're making less than 1 trade per month - might as well go play bingo with your abuela. And look at that pathetic 783% return compared to buy & hold's 3126%. You're literally losing money by trying to be clever instead of just holding the damn stock.

The risk metrics are absolutely horrible. A -51.4% drawdown? Are you trying to give yourself a heart attack? And that Sharpe ratio of 0.74 is embarassingly bad - it means you're taking on massive risk for mediocre returns. Even worse, your Sortino ratio is 0.28 which shows you're handling downside risk like a drunk torero.

The only semi-decent thing here is the Risk/Reward ratio of 3.52, but it's completely meaningless with such few trades. And don't get me excited about that 52% win rate - it's barely better than flipping a coin!

Anyone who trades this strategy deserves to lose their money. My advice? Either buy and hold or find a strategy that actually trades more than once in a blue moon. This is just painful to look at.

MΓ©tricas tabulares de 50/200 SMA cross sometido a backtest en NVDA β€’ 1 Hour

Total de Operaciones27Beneficio Neto783.4%Beneficio Compra y MantΓ©n3126.3%
Tasa de Ganancia52%Ratio Riesgo/Recompensa3.52MΓ‘ximo Drawdown-51.4%
MΓ‘ximo Drawdown del Activo-68.0%ExposiciΓ³n61.0%Promedio de Velas en PosiciΓ³n225.0
Ratio de Sharpe0.74Ratio de Sortino0.28Volatilidad Realizada34.86%
Racha MΓ‘xima de Ganancia4Racha Promedio de Ganancia2.0Racha MΓ‘xima de PΓ©rdida4
Racha Promedio de PΓ©rdida2.2Promedio de Operaciones por Mes0.8Promedio de Operaciones por DΓ­a0.0
Desv. Est. del Retorno36.6Desv. Est. de la PΓ©rdida6.2Desv. Est. de la Ganancia41.2
Expectativa1.3Beta0.55

Todos los backtests para 50/200 SMA cross

common.strategyexposiciΓ³nrendimiento vs activodrawdown vs activotasa de gananciarecompensa/ riesgo
BTCUSDT β€’ 1 Minute
57%(5.4%/8.9%) 0.61x(-2.0%/-1.9%) 1.05x395.4
EURUSD β€’ 1 Minute
61%(-1.1%/-1.0%) 1.10x(-1.2%/-1.2%) 1.00x201.1
GLD β€’ 1 Minute
52%(1.7%/0.0%) Infinityx(-2.5%/-5.5%) 0.45x362.5
NVDA β€’ 1 Minute
61%(1.2%/16.7%) 0.07x(-7.9%/-4.4%) 1.80x282.9
SPY β€’ 1 Minute
60%(0.5%/4.6%) 0.11x(-2.5%/-2.1%) 1.19x332.3
TSLA β€’ 1 Minute
47%(6.6%/-10.3%) -0.64x(-11.2%/-21.4%) 0.52x392.1
WMT β€’ 1 Minute
41%(-0.5%/-5.4%) 0.09x(-3.9%/-6.4%) 0.61x292.4
BTCUSDT β€’ 10 Minutes
57%(18.2%/22.4%) 0.81x(-8.6%/-12.1%) 0.71x413.1
EURUSD β€’ 10 Minutes
55%(2.5%/5.8%) 0.43x(-2.2%/-4.3%) 0.51x382.4
GLD β€’ 10 Minutes
58%(26.1%/43.7%) 0.60x(-5.9%/-8.3%) 0.71x543.1
NVDA β€’ 10 Minutes
57%(5.0%/32.9%) 0.15x(-33.4%/-42.8%) 0.78x441.4
SPY β€’ 10 Minutes
60%(6.6%/14.3%) 0.46x(-13.4%/-20.7%) 0.65x411.9
TSLA β€’ 10 Minutes
47%(18.4%/59.0%) 0.31x(-34.8%/-55.3%) 0.63x411.9
WMT β€’ 10 Minutes
60%(37.4%/40.1%) 0.93x(-10.3%/-23.8%) 0.43x621.8
BTCUSDT β€’ 1 Hour
56%(36.4%/68.2%) 0.53x(-31.3%/-30.6%) 1.02x432.2
EURUSD β€’ 1 Hour
50%(6.9%/6.8%) 1.01x(-5.7%/-9.0%) 0.63x422.4
GLD β€’ 1 Hour
60%(35.8%/117.6%) 0.30x(-26.6%/-22.2%) 1.20x363.0
NVDA β€’ 1 Hour
61%(783.4%/3126.3%) 0.25x(-51.4%/-68.0%) 0.76x523.5
SPY β€’ 1 Hour
64%(85.7%/106.7%) 0.80x(-19.0%/-35.1%) 0.54x612.3
TSLA β€’ 1 Hour
55%(2930.2%/1395.5%) 2.10x(-38.7%/-75.1%) 0.52x566.0
WMT β€’ 1 Hour
60%(33.6%/138.2%) 0.24x(-28.4%/-26.9%) 1.06x501.6
BTCUSDT β€’ Daily
59%(638.7%/1337.5%) 0.48x(-61.1%/-76.6%) 0.80x837.3
EURUSD β€’ Daily
35%(4.8%/10.8%) 0.44x(-12.2%/-23.3%) 0.52x710.7
GLD β€’ Daily
61%(242.9%/595.1%) 0.41x(-36.4%/-45.3%) 0.80x466.4
NVDA β€’ Daily
65%(83183.3%/373678.5%) 0.22x(-57.1%/-90.0%) 0.63x7716.0
SPY β€’ Daily
72%(1127.3%/1316.3%) 0.86x(-32.5%/-56.7%) 0.57x873.8
TSLA β€’ Daily
57%(3139.0%/24185.2%) 0.13x(-65.4%/-75.0%) 0.87x3825.3
WMT β€’ Daily
64%(1143.9%/13022.2%) 0.09x(-57.1%/-50.6%) 1.13x398.1