Parabolic SAR fliplong
Resultados de Backtest @ WMT β€’ Daily

Curva de Equidad

El backtest cubre 38.8 years de datos WMT β€’ Daily (Walmart Inc.), desde October 20, 1986 hasta July 31, 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 Parabolic SAR flip en 38.8 years de velas WMT β€’ Daily.Β Este backtest resultΓ³ en 426 posiciones, con una tasa de ganancia promedio de 45% y una relaciΓ³n riesgo-recompensa de 1.63.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.63 se mantiene, necesitas una tasa de ganancia mΓ­nima de 38.0 para ser rentable. AsΓ­ que vas bien hasta ahora.Β Las mΓ©tricas clave son las siguientes:

  1. Retorno Total: Retorno Total: 476.70% vs 10620.70% para el activo
  2. MΓ‘ximo Drawdown: MΓ‘ximo Drawdown: -60.70% vs -50.60% para el activo
  3. ExposiciΓ³n: ExposiciΓ³n: 59.00% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 45.0%, vs 38.0% mΓ­nimo
  5. RelaciΓ³n Riesgo/Recompensa: RelaciΓ³n Riesgo/Recompensa: 1.63

Con esa exposiciΓ³n en mente, puedes ver que para 59% tiempo-en-mercado, obtienes 4.49% del potencial alcista del activo, y 119.96% del potencial bajista del activo.

Parabolic SAR flip: entrar en una posiciΓ³n cuando

All of the following: # India
  D Parabolic SAR (0.02, 0.02, 0.2, 0) < D Chart(close)

Parabolic SAR flip: salir de una posiciΓ³n cuando

Exits as soon as None of the entry conditions are true any more.

Parabolic SAR flip @ WMT β€’ Daily (476.7%) explicado por Alex C, Sarah

Alex C

Autor

The numbers show some interesting patterns here. The strategy has a decent win rate leeway of 44.62% above the minimal required win rate, which is mathematically significant. However, I notice some concerning issues with the risk metrics.

The Sharpe ratio of 0.16 is quite poor - we typically want to see at least 1.0 for a strategy to be considered mathematically sound. The maximum drawdown of -60.7% is also problematic, as it exceeds even the asset's own drawdown of -50.6%. This suggests the strategy is actually amplifying risk rather than managing it effectively.

What really catches my attention is that despite having 426 trades over nearly 39 years (which is statistically significant sample size), the strategy significantly underperforms buy & hold (476.7% vs 10620.7%). The market exposure of 59% suggests this is meant to be a trend-following system, but the Beta of 0.49 indicates it's not capturing the upside moves effectively. I would classify this as a sub-optimal implementation of the Parabolic SAR concept.

Sarah

Autor

Madre mΓ­a, this strategy is absolute garbage! A net profit of 476.7% over 38 years when buy & hold did 10,620%? That's pathetic! You would have made 22 times more money by simply buying and holding.

The win rate is terrible - only 45%! Even though you have a decent risk/reward ratio of 1.63, your maximum drawdown is -60.7%, which is worse than the asset's drawdown of -50.6%. This means your strategy is actually adding more risk than just holding the asset! And that Sharpe ratio of 0.16? Mi dios, that's embarrasingly bad.

The most alarming thing is that you're only right 45% of the time with a strategy that needs to be right 38% of the time to break even. That's cutting it way too close for comfort. Yes, technically you have "leeway" but it's like trying to cross a highway blindfolded - just because you can doesn't mean you should!

Look, if you want to lose money slower than throwing it directly into trash, maybe this strategy works for you. But with only 1.8 trades per month, horrible risk-adjusted returns, and massive underperformance versus buy & hold, you should seriously reconsider your life choices if you think this is worth trading.

MΓ©tricas tabulares de Parabolic SAR flip sometido a backtest en WMT β€’ Daily

Total de Operaciones426Beneficio Neto476.7%Beneficio Compra y MantΓ©n10620.7%
Tasa de Ganancia45%Ratio Riesgo/Recompensa1.63MΓ‘ximo Drawdown-60.7%
MΓ‘ximo Drawdown del Activo-50.6%ExposiciΓ³n59.0%Promedio de Velas en PosiciΓ³n12.5
Ratio de Sharpe0.16Ratio de Sortino0.54Volatilidad Realizada17.10%
Racha MΓ‘xima de Ganancia6Racha Promedio de Ganancia1.9Racha MΓ‘xima de PΓ©rdida11
Racha Promedio de PΓ©rdida2.3Promedio de Operaciones por Mes1.8Promedio de Operaciones por DΓ­a0.1
Desv. Est. del Retorno5.1Desv. Est. de la PΓ©rdida2.4Desv. Est. de la Ganancia4.5
Expectativa0.2Beta0.49

Todos los backtests para Parabolic SAR flip

common.strategyexposiciΓ³nrendimiento vs activodrawdown vs activotasa de gananciarecompensa/ riesgo
BTCUSDT β€’ 1 Minute
55%(-2.7%/0.5%) -5.40x(-3.4%/-4.4%) 0.77x361.5
EURUSD β€’ 1 Minute
55%(-1.7%/-2.7%) 0.63x(-1.9%/-3.3%) 0.58x371.3
GLD β€’ 1 Minute
56%(-4.4%/-0.9%) 4.89x(-4.9%/-4.8%) 1.02x411.1
NVDA β€’ 1 Minute
56%(11.3%/20.6%) 0.55x(-3.2%/-5.3%) 0.60x402.0
PLTR β€’ 1 Minute
56%(-4.0%/10.4%) -0.38x(-8.6%/-12.9%) 0.67x381.5
SPY β€’ 1 Minute
58%(1.4%/4.0%) 0.35x(-2.0%/-1.5%) 1.33x411.6
TSLA β€’ 1 Minute
55%(-5.0%/-9.9%) 0.51x(-11.0%/-15.9%) 0.69x381.5
WMT β€’ 1 Minute
55%(-0.8%/-0.7%) 1.14x(-2.9%/-5.1%) 0.57x371.6
BTCUSDT β€’ 10 Minutes
57%(3.2%/4.7%) 0.68x(-10.6%/-11.7%) 0.91x391.6
EURUSD β€’ 10 Minutes
56%(-1.3%/0.6%) -2.17x(-2.3%/-3.6%) 0.64x401.4
GLD β€’ 10 Minutes
57%(22.1%/37.4%) 0.59x(-8.4%/-8.3%) 1.01x461.6
NVDA β€’ 10 Minutes
58%(24.3%/45.0%) 0.54x(-28.0%/-42.8%) 0.65x441.4
PLTR β€’ 10 Minutes
60%(121.1%/459.2%) 0.26x(-45.7%/-46.5%) 0.98x471.5
SPY β€’ 10 Minutes
59%(7.9%/14.1%) 0.56x(-16.1%/-20.7%) 0.78x441.4
TSLA β€’ 10 Minutes
56%(86.8%/24.4%) 3.56x(-30.8%/-55.3%) 0.56x431.7
WMT β€’ 10 Minutes
58%(37.0%/38.7%) 0.96x(-12.4%/-23.8%) 0.52x451.7
BTCUSDT β€’ 1 Hour
55%(40.1%/65.5%) 0.61x(-25.5%/-30.6%) 0.83x421.6
EURUSD β€’ 1 Hour
55%(-3.2%/3.5%) -0.91x(-7.5%/-9.0%) 0.83x391.5
GLD β€’ 1 Hour
55%(61.4%/118.5%) 0.52x(-21.7%/-22.2%) 0.98x431.8
NVDA β€’ 1 Hour
58%(1284.1%/3304.6%) 0.39x(-42.2%/-68.0%) 0.62x471.8
PLTR β€’ 1 Hour
55%(538.0%/1459.0%) 0.37x(-77.3%/-86.6%) 0.89x422.0
SPY β€’ 1 Hour
61%(70.4%/104.7%) 0.67x(-14.9%/-35.1%) 0.42x451.6
TSLA β€’ 1 Hour
56%(5558.2%/1240.0%) 4.48x(-40.4%/-75.1%) 0.54x442.4
WMT β€’ 1 Hour
57%(100.4%/142.7%) 0.70x(-18.3%/-26.9%) 0.68x431.8
BTCUSDT β€’ Daily
57%(379.6%/1339.3%) 0.28x(-68.0%/-76.6%) 0.89x432.3
EURUSD β€’ Daily
55%(-1.5%/8.0%) -0.19x(-17.8%/-23.3%) 0.76x371.7
GLD β€’ Daily
57%(301.4%/585.6%) 0.51x(-23.7%/-45.3%) 0.52x461.9
NVDA β€’ Daily
59%(14739.3%/417479.9%) 0.04x(-76.5%/-90.0%) 0.85x462.0
PLTR β€’ Daily
57%(559.1%/1476.3%) 0.38x(-50.4%/-84.9%) 0.59x492.7
SPY β€’ Daily
65%(117.1%/1354.3%) 0.09x(-48.3%/-56.7%) 0.85x471.4
TSLA β€’ Daily
57%(440.9%/25131.3%) 0.02x(-75.3%/-75.0%) 1.00x372.6
WMT β€’ Daily
59%(476.7%/10620.7%) 0.04x(-60.7%/-50.6%) 1.20x451.6