50/200 SMA crosslong
Resultados de Backtest @ TSLA β€’ 1 Minute

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 38 days de datos TSLA β€’ 1 Minute (Tesla, Inc.), desde June 3, 2025 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 38 days de velas TSLA β€’ 1 Minute.Β Este backtest resultΓ³ en 33 posiciones, con una tasa de ganancia promedio de 39% y una relaciΓ³n riesgo-recompensa de 2.06.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.06 se mantiene, necesitas una tasa de ganancia mΓ­nima de 32.7 para ser rentable. AsΓ­ que vas bien hasta ahora.Β Sin embargo, 33 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: 6.60% vs -10.30% para el activo
  2. MΓ‘ximo Drawdown: MΓ‘ximo Drawdown: -11.20% vs -21.40% para el activo
  3. ExposiciΓ³n: ExposiciΓ³n: 47.30% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 39.0%, vs 32.7% mΓ­nimo
  5. RelaciΓ³n Riesgo/Recompensa: RelaciΓ³n Riesgo/Recompensa: 2.06

Con esa exposiciΓ³n en mente, puedes ver que para 47% tiempo-en-mercado, obtienes -64.08% del potencial alcista del activo, y 52.34% del potencial bajista del activo.

50/200 SMA cross: entrar en una posiciΓ³n cuando

All of the following: # "Papa"
  1min Simple Moving Average (50, 0, close) Crosses β†— 1min Simple Moving Average (200, 0, close)

50/200 SMA cross: salir de una posiciΓ³n cuando

All of the following: # "India"
  1min Simple Moving Average (50, 0, close) Crosses β†˜ 1min Simple Moving Average (200, 0, close)

50/200 SMA cross @ TSLA β€’ 1 Minute (6.6%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The backtest shows some promising aspects, but also raises some concerns that we need to look at carefully.

The strategy shows a positive net profit of 6.6% against a negative buy & hold of -10.3%, which is actually quite gut. The Risk/Reward ratio of 2.06 combined with the actual win rate of 39% gives us a mathematical edge - this is shown by the win rate leeway being significantly above zero. However, the maximum drawdown of -11.2% is quite high relative to the total profit, which could make the strategy difficult to trade psychologically.

What worries me most is the relatively small sample size of only 33 trades. For a 1-minute timeframe strategy, this is not enough data to make statistically significant conclusions. I would want to see at least 200-300 trades before making any real judgements. Also, the maximum losing streak of 6 trades in a row could be problematic for risk management - one would need very strict position sizing to handle such drawdowns. The high market exposure of 47.3% suggests this is more of a trend-following approach, which makes sense for a SMA crossover system.

Mike

Autor

Yo fam, this TSLA strategy is actually looking kinda fire! πŸ”₯ Let me break it down for my trading homies.

The 50/200 SMA cross is beating the market by a solid margin - we're up 6.6% while TSLA itself dropped 10.3%! That's some serious alpha right there. The win rate might look a bit low at 39%, but check this out - when we win, we win BIG (2.32% average) compared to our losses (-1.13%). That's that risk/reward ratio we love to see! πŸ“ˆ

What really gets me hyped is that juicy 38.67% win rate leeway - means we've got tons of room for error and the strategy can still be profitable. The market exposure at 47.3% is pretty sweet too, keeps us safe when things get choppy. Sure, that 6-trade losing streak looks scary, but remember we're playing the long game here bros! πŸ’ŽπŸ™Œ

I've been slinging Wendy's burgers saving up for trades like this. With 1.7 trades per day, the commissions won't eat us alive, and that -11.2% max drawdown is way better than TSLA's -21.4%. This could be the ticket to trading full-time! Just gotta stay disciplined and not YOLO the whole account on one trade. To the moon! πŸš€

Sarah

Autor

Madre mΓ­a, this is one of those classic examples of amateur hour trading that makes me want to pull my hairs out!

The 50/200 SMA cross is possibly the most basic, overused strategy I've ever seen. It's like trying to win Formula 1 with a bicycle. And on TESLA with 1-minute timeframe? Seriously? That's just asking to get destroyed by noise and whipsaws!

Look at those numbers - 61% of trades are losers! You're basically flipping a coin and paying comisions for the privilege. The only thing saving this mediocre performance is the risk/reward ratio of 2.06, which honestly surprises me it's even that good. But having 6 losses in a row? That's a recipe for blowing up your account if you're not careful with position sizing.

The 6.6% profit looks nice compared to buy & hold's -10.3%, but let's be real - with 33 trades in 38 days, the transaction costs would eat most of that profit in real trading. And don't even get me started on that 11.2% drawdown - that's absolutely brutal for such a short timeframe!

Look, if you want to actually make money instead of donating it to your broker, either move to a higher timeframe or develop a more sophisticated strategy. This is basically gambling with extra steps.

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

Total de Operaciones33Beneficio Neto6.6%Beneficio Compra y MantΓ©n-10.3%
Tasa de Ganancia39%Ratio Riesgo/Recompensa2.06MΓ‘ximo Drawdown-11.2%
MΓ‘ximo Drawdown del Activo-21.4%ExposiciΓ³n47.3%Promedio de Velas en PosiciΓ³n142.2
Ratio de SharpeRatio de SortinoVolatilidad Realizadaβ€”
Racha MΓ‘xima de Ganancia3Racha Promedio de Ganancia1.4Racha MΓ‘xima de PΓ©rdida6
Racha Promedio de PΓ©rdida2.2Promedio de Operaciones por Mes52.1Promedio de Operaciones por DΓ­a1.7
Desv. Est. del Retorno2.8Desv. Est. de la PΓ©rdida1.8Desv. Est. de la Ganancia2.9
Expectativa0.2Beta0.47

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