50/200 SMA crosslong
Resultados de Backtest @ BTCUSDT 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 5.8 years de datos BTCUSDT β€’ Daily (Bitcoin vs Tether, Binance US), desde October 8, 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 5.8 years de velas BTCUSDT β€’ Daily.Β Este backtest resultΓ³ en 6 posiciones, con una tasa de ganancia promedio de 83% y una relaciΓ³n riesgo-recompensa de 7.27.Β Si asumes que la relaciΓ³n riesgo-recompensa de 7.27 se mantiene, necesitas una tasa de ganancia mΓ­nima de 12.1 para ser rentable. AsΓ­ que vas bien hasta ahora.Β Sin embargo, 6 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: 638.70% vs 1337.50% para el activo
  2. MΓ‘ximo Drawdown: MΓ‘ximo Drawdown: -61.10% vs -76.60% para el activo
  3. ExposiciΓ³n: ExposiciΓ³n: 58.80% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 83.0%, vs 12.1% mΓ­nimo
  5. RelaciΓ³n Riesgo/Recompensa: RelaciΓ³n Riesgo/Recompensa: 7.27

Con esa exposiciΓ³n en mente, puedes ver que para 59% tiempo-en-mercado, obtienes 47.75% del potencial alcista del activo, y 79.77% 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 @ BTCUSDT β€’ Daily (638.7%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The backtest shows some interesting characteristics, but I am not very convinced by these results. The main problem I see is the very low number of trades - only 6 trades over 5.8 years. This makes the statistical significance quite questionable, even though the win rate looks good at first glance.

The risk metrics are not particularly impressive. A Sharpe ratio of 0.70 is below what I would consider acceptable for a trading strategy, especially in crypto markets. The maximum drawdown of 61.1% is also concerning - this kind of drawdown could be psychologically very difficult to handle in real trading, even if the strategy eventually recovers. What is also worth noting is that the strategy underperforms buy & hold by quite a margin (638.7% vs 1337.5%).

From a mathematical perspective, while the Risk/Reward ratio of 7.27 looks good on paper, I would be very careful about putting too much weight on these numbers given the tiny sample size. The strategy also shows very low trading frequency with only 0.2 trades per month - this makes it difficult to rely on the law of large numbers to smooth out variance. I would want to see at least 100 trades before making any serious conclusions about the strategy's statistical validity.

Mike

Autor

Yo fam, this 50/200 SMA cross strategy on BTC is giving some pretty interesting vibes! πŸš€ Those numbers are actually kinda fire, even though it's not beating buy & hold (but hey, who does in a mega bull run? πŸ˜…).

What's super sweet here is that 83% win rate with a crazy 7.27 risk/reward ratio - that's the kind of setup that makes my Wendy's paycheck dreams go wild! The strategy only needs a 12.1% win rate to break even, and we're crushing that by like 70% more than needed. That's some serious cushioning for when the market decides to get spicy! 🌢️

But keeping it real though - only 6 trades over almost 6 years is pretty low-key, almost too low-key. πŸ’€ And that 61% max drawdown is no joke - you'd need diamond hands to hold through that kind of dip. But hey, if you're looking for a long-term, low-maintenance strategy that keeps you in during the big moves while protecting you from some of the worst dumps, this might be worth a closer look! Just remember to size those positions right, because when you're only getting a few trades, each one needs to count! πŸ’ŽπŸ™Œ

Sarah

Autor

This strategy is absolute garbage, and I'm shocked anyone would even consider it. Let me tell you why, amigo.

First of all, only 6 trades in almost 6 years? Are you kidding me? That's pathetically low - you're basically sitting on your hands doing nothing most of the time. And despite all that waiting, you still managed to underperform buy & hold by almost 700%! That's embarassing, mi amigo.

The win rate looks impressive at 83%, but it's meaningless with such a tiny sample size. It's like saying you're a professional football player because you scored 5 goals out of 6 shots in your backyard. And that 61% maximum drawdown? Madre mΓ­a! You might as well go to the casino - at least they give you free drinks while you lose your money.

The most ridiculous part is the market exposure of only 58.8%. You're missing out on nearly half the market moves while still eating massive drawdowns. This is like trying to cross the street with your eyes closed half the time - stupid and dangerous.

Look, if you want to throw away money, there are faster ways to do it. This strategy is slow torture. The sample size is too small, the drawdowns are too big, and the performance is inferior to simply buying and holding. Back to the drawing board, por favor.

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

Total de Operaciones6Beneficio Neto638.7%Beneficio Compra y MantΓ©n1337.5%
Tasa de Ganancia83%Ratio Riesgo/Recompensa7.27MΓ‘ximo Drawdown-61.1%
MΓ‘ximo Drawdown del Activo-76.6%ExposiciΓ³n58.8%Promedio de Velas en PosiciΓ³n204.3
Ratio de Sharpe0.70Ratio de Sortino1.07Volatilidad Realizada38.80%
Racha MΓ‘xima de Ganancia4Racha Promedio de Ganancia2.5Racha MΓ‘xima de PΓ©rdida1
Racha Promedio de PΓ©rdida1.0Promedio de Operaciones por Mes0.2Promedio de Operaciones por DΓ­a0.0
Desv. Est. del Retorno98.4Desv. Est. de la PΓ©rdidaDesv. Est. de la Ganancia103.6
Expectativa5.9Beta0.53

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