El backtest cubre 4.8 years de datos PLTR β’ 1 Hour (Palantir Technologies Inc.), desde September 30, 2020 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 4.8 years de velas PLTR β’ 1 Hour.Β Este backtest resultΓ³ en 314 posiciones, con una tasa de ganancia promedio de 42% y una relaciΓ³n riesgo-recompensa de 2.05.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.05 se mantiene, necesitas una tasa de ganancia mΓnima de 32.8 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 55% tiempo-en-mercado, obtienes 36.87% del potencial alcista del activo, y 89.26% del potencial bajista del activo.
All of the following: # India 60min Parabolic SAR (0.02, 0.02, 0.2, 0) < 60min Chart(close)
Exits as soon as None of the entry conditions are true any more.
The backtest shows some interesting patterns, but I have several concerns about the strategy's robustness. The win rate of 42% combined with a 2.05 risk/reward ratio mathematically makes sense - it's well above the minimal sufficient win rate of 32.8%. This is actually quite good.
However, the maximum drawdown of 77.3% is extremely problematic. No professional trader would accept such a high drawdown - it's simply too risky. The strategy also underperforms buy & hold significantly (538% vs 1459%), while still exposing you to substantial risk. The Sharpe ratio of 0.50 and Sortino of 0.24 are both quite poor, indicating bad risk-adjusted returns.
I notice the strategy produces relatively few trades - only 0.4 per day on average. This makes me worry about statistical significance, even though we have 314 trades total over the period. The correlation with the underlying asset is 0.68, which suggests this strategy is basically just giving you leveraged exposure to PLTR's movements rather than finding truly independent trading opportunities. In my experience, you want correlation below 0.3 for a truly robust strategy.
Total de Operaciones | 314 | Beneficio Neto | 538.0% | Beneficio Compra y MantΓ©n | 1459.0% |
Tasa de Ganancia | 42% | Ratio Riesgo/Recompensa | 2.05 | MΓ‘ximo Drawdown | -77.3% |
MΓ‘ximo Drawdown del Activo | -86.6% | ExposiciΓ³n | 54.9% | Promedio de Velas en PosiciΓ³n | 13.8 |
Ratio de Sharpe | 0.50 | Ratio de Sortino | 0.24 | Volatilidad Realizada | 46.10% |
Racha MΓ‘xima de Ganancia | 5 | Racha Promedio de Ganancia | 1.7 | Racha MΓ‘xima de PΓ©rdida | 9 |
Racha Promedio de PΓ©rdida | 2.5 | Promedio de Operaciones por Mes | 10.7 | Promedio de Operaciones por DΓa | 0.4 |
Desv. Est. del Retorno | 6.8 | Desv. Est. de la PΓ©rdida | 2.5 | Desv. Est. de la Ganancia | 7.4 |
Expectativa | 0.3 | 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 |