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.
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:
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.
All of the following: # India D Parabolic SAR (0.02, 0.02, 0.2, 0) < D Chart(close)
Exits as soon as None of the entry conditions are true any more.
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.
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.
Total de Operaciones | 426 | Beneficio Neto | 476.7% | Beneficio Compra y MantΓ©n | 10620.7% |
Tasa de Ganancia | 45% | Ratio Riesgo/Recompensa | 1.63 | MΓ‘ximo Drawdown | -60.7% |
MΓ‘ximo Drawdown del Activo | -50.6% | ExposiciΓ³n | 59.0% | Promedio de Velas en PosiciΓ³n | 12.5 |
Ratio de Sharpe | 0.16 | Ratio de Sortino | 0.54 | Volatilidad Realizada | 17.10% |
Racha MΓ‘xima de Ganancia | 6 | Racha Promedio de Ganancia | 1.9 | Racha MΓ‘xima de PΓ©rdida | 11 |
Racha Promedio de PΓ©rdida | 2.3 | Promedio de Operaciones por Mes | 1.8 | Promedio de Operaciones por DΓa | 0.1 |
Desv. Est. del Retorno | 5.1 | Desv. Est. de la PΓ©rdida | 2.4 | Desv. Est. de la Ganancia | 4.5 |
Expectativa | 0.2 | Beta | 0.49 |
common.strategy | exposiciΓ³n | rendimiento vs activo | drawdown vs activo | tasa de ganancia | recompensa/ riesgo |
---|---|---|---|---|---|
BTCUSDT β’ 1 Minute | 55% | (-2.7%/0.5%) -5.40x | (-3.4%/-4.4%) 0.77x | 36 | 1.5 |
EURUSD β’ 1 Minute | 55% | (-1.7%/-2.7%) 0.63x | (-1.9%/-3.3%) 0.58x | 37 | 1.3 |
GLD β’ 1 Minute | 56% | (-4.4%/-0.9%) 4.89x | (-4.9%/-4.8%) 1.02x | 41 | 1.1 |
NVDA β’ 1 Minute | 56% | (11.3%/20.6%) 0.55x | (-3.2%/-5.3%) 0.60x | 40 | 2.0 |
PLTR β’ 1 Minute | 56% | (-4.0%/10.4%) -0.38x | (-8.6%/-12.9%) 0.67x | 38 | 1.5 |
SPY β’ 1 Minute | 58% | (1.4%/4.0%) 0.35x | (-2.0%/-1.5%) 1.33x | 41 | 1.6 |
TSLA β’ 1 Minute | 55% | (-5.0%/-9.9%) 0.51x | (-11.0%/-15.9%) 0.69x | 38 | 1.5 |
WMT β’ 1 Minute | 55% | (-0.8%/-0.7%) 1.14x | (-2.9%/-5.1%) 0.57x | 37 | 1.6 |
BTCUSDT β’ 10 Minutes | 57% | (3.2%/4.7%) 0.68x | (-10.6%/-11.7%) 0.91x | 39 | 1.6 |
EURUSD β’ 10 Minutes | 56% | (-1.3%/0.6%) -2.17x | (-2.3%/-3.6%) 0.64x | 40 | 1.4 |
GLD β’ 10 Minutes | 57% | (22.1%/37.4%) 0.59x | (-8.4%/-8.3%) 1.01x | 46 | 1.6 |
NVDA β’ 10 Minutes | 58% | (24.3%/45.0%) 0.54x | (-28.0%/-42.8%) 0.65x | 44 | 1.4 |
PLTR β’ 10 Minutes | 60% | (121.1%/459.2%) 0.26x | (-45.7%/-46.5%) 0.98x | 47 | 1.5 |
SPY β’ 10 Minutes | 59% | (7.9%/14.1%) 0.56x | (-16.1%/-20.7%) 0.78x | 44 | 1.4 |
TSLA β’ 10 Minutes | 56% | (86.8%/24.4%) 3.56x | (-30.8%/-55.3%) 0.56x | 43 | 1.7 |
WMT β’ 10 Minutes | 58% | (37.0%/38.7%) 0.96x | (-12.4%/-23.8%) 0.52x | 45 | 1.7 |
BTCUSDT β’ 1 Hour | 55% | (40.1%/65.5%) 0.61x | (-25.5%/-30.6%) 0.83x | 42 | 1.6 |
EURUSD β’ 1 Hour | 55% | (-3.2%/3.5%) -0.91x | (-7.5%/-9.0%) 0.83x | 39 | 1.5 |
GLD β’ 1 Hour | 55% | (61.4%/118.5%) 0.52x | (-21.7%/-22.2%) 0.98x | 43 | 1.8 |
NVDA β’ 1 Hour | 58% | (1284.1%/3304.6%) 0.39x | (-42.2%/-68.0%) 0.62x | 47 | 1.8 |
PLTR β’ 1 Hour | 55% | (538.0%/1459.0%) 0.37x | (-77.3%/-86.6%) 0.89x | 42 | 2.0 |
SPY β’ 1 Hour | 61% | (70.4%/104.7%) 0.67x | (-14.9%/-35.1%) 0.42x | 45 | 1.6 |
TSLA β’ 1 Hour | 56% | (5558.2%/1240.0%) 4.48x | (-40.4%/-75.1%) 0.54x | 44 | 2.4 |
WMT β’ 1 Hour | 57% | (100.4%/142.7%) 0.70x | (-18.3%/-26.9%) 0.68x | 43 | 1.8 |
BTCUSDT β’ Daily | 57% | (379.6%/1339.3%) 0.28x | (-68.0%/-76.6%) 0.89x | 43 | 2.3 |
EURUSD β’ Daily | 55% | (-1.5%/8.0%) -0.19x | (-17.8%/-23.3%) 0.76x | 37 | 1.7 |
GLD β’ Daily | 57% | (301.4%/585.6%) 0.51x | (-23.7%/-45.3%) 0.52x | 46 | 1.9 |
NVDA β’ Daily | 59% | (14739.3%/417479.9%) 0.04x | (-76.5%/-90.0%) 0.85x | 46 | 2.0 |
PLTR β’ Daily | 57% | (559.1%/1476.3%) 0.38x | (-50.4%/-84.9%) 0.59x | 49 | 2.7 |
SPY β’ Daily | 65% | (117.1%/1354.3%) 0.09x | (-48.3%/-56.7%) 0.85x | 47 | 1.4 |
TSLA β’ Daily | 57% | (440.9%/25131.3%) 0.02x | (-75.3%/-75.0%) 1.00x | 37 | 2.6 |
WMT β’ Daily | 59% | (476.7%/10620.7%) 0.04x | (-60.7%/-50.6%) 1.20x | 45 | 1.6 |