50/200 SMA crosslong
Resultados de Backtest @ SPY β€’ Daily

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 32.5 years de datos SPY β€’ Daily (SPDR S&P 500), desde January 29, 1993 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 32.5 years de velas SPY β€’ Daily.Β Este backtest resultΓ³ en 15 posiciones, con una tasa de ganancia promedio de 87% y una relaciΓ³n riesgo-recompensa de 3.82.Β Si asumes que la relaciΓ³n riesgo-recompensa de 3.82 se mantiene, necesitas una tasa de ganancia mΓ­nima de 20.8 para ser rentable. AsΓ­ que vas bien hasta ahora.Β Sin embargo, 15 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: 1127.30% vs 1316.30% para el activo
  2. MΓ‘ximo Drawdown: MΓ‘ximo Drawdown: -32.50% vs -56.70% para el activo
  3. ExposiciΓ³n: ExposiciΓ³n: 71.60% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 87.0%, vs 20.8% mΓ­nimo
  5. RelaciΓ³n Riesgo/Recompensa: RelaciΓ³n Riesgo/Recompensa: 3.82

Con esa exposiciΓ³n en mente, puedes ver que para 72% tiempo-en-mercado, obtienes 85.64% del potencial alcista del activo, y 57.32% del potencial bajista del activo.

50/200 SMA cross: entrar en una posiciΓ³n cuando

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

50/200 SMA cross: salir de una posiciΓ³n cuando

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

50/200 SMA cross @ SPY β€’ Daily (1127.3%) explicado por Mike, Sarah

Mike

Autor

Yo fam, this 50/200 SMA cross strategy is actually pretty lit! πŸ”₯ Looking at those 32.5 years of data, we're seeing some seriously juicy numbers that got me hyped.

The win rate is absolutely bonkers at 87% with a 3.82 risk/reward ratio - that's the kind of setup that makes my Wendy's paycheck look like pocket change! πŸ’ͺ The average winner brings in 25.45% while the average L is only -6.66%. Plus, with only 15 total trades over this period, you're not getting killed by commission fees or having to watch charts 24/7.

One thing that's keeping me from going full YOLO though is that the strategy slightly underperformed buy & hold (1127% vs 1316%). But here's the big brain play - it only had 71.6% market exposure, meaning you're carrying way less risk during rough patches. That -32.5% max drawdown compared to the market's -56.7% is the kind of protection that helps you sleep at night while holding those diamond hands! πŸ’ŽπŸ™Œ The recent performance has been a bit choppy, but looking at those 2-5 year returns got me ready to bet the farm! πŸš€

Sarah

Autor

Dios mΓ­o, this strategy is terrible! 15 trades in 32 years? Are you planning to trade once every two years or what? This is ridiculous!

The win rate looks impressive at first - 87% sounds amazing, no? But with only 15 trades, it's meaningless estadΓ­stica! You could flip a coin 15 times and get 13 heads - it doesn't make it a reliable system. And look at the market exposure - 71.6% means you're basically following the market like a lost puppy, but doing worse than simple buy and hold! You're underperforming by almost 200 percentage points!

The drawdown of -32.5% is atrocious for such a slow strategy. With this kind of performance, you might as well put your money under the mattres! And look at those recent numbers - -91.6% over 6 months? Β‘Madre mΓ­a! This is the kind of performance that makes people jump from buildings!

If you're seriously considering trading this estrategia, I suggest you find a new hobby - maybe collecting stamps or feeding pigeons. At least you won't lose money that way. This is not a trading strategy, it's a retirement plan for snails!

MΓ©tricas tabulares de 50/200 SMA cross sometido a backtest en SPY β€’ Daily

Total de Operaciones15Beneficio Neto1127.3%Beneficio Compra y MantΓ©n1316.3%
Tasa de Ganancia87%Ratio Riesgo/Recompensa3.82MΓ‘ximo Drawdown-32.5%
MΓ‘ximo Drawdown del Activo-56.7%ExposiciΓ³n71.6%Promedio de Velas en PosiciΓ³n388.7
Ratio de Sharpe0.63Ratio de Sortino1.13Volatilidad Realizada11.15%
Racha MΓ‘xima de Ganancia9Racha Promedio de Ganancia4.3Racha MΓ‘xima de PΓ©rdida1
Racha Promedio de PΓ©rdida1.0Promedio de Operaciones por Mes0.1Promedio de Operaciones por DΓ­a0.0
Desv. Est. del Retorno31.5Desv. Est. de la PΓ©rdida3.2Desv. Est. de la Ganancia31.7
Expectativa3.2Beta0.5

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