El backtest cubre 37 days de datos PLTR β’ 1 Minute (Palantir Technologies Inc.), desde June 24, 2025 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 37 days de velas PLTR β’ 1 Minute.Β Este backtest resultΓ³ en 475 posiciones, con una tasa de ganancia promedio de 38% y una relaciΓ³n riesgo-recompensa de 1.51.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.51 se mantiene, necesitas una tasa de ganancia mΓnima de 39.8 para ser rentable. Β‘AsΓ que estΓ‘s jodido!Β Las mΓ©tricas clave son las siguientes:
Con esa exposiciΓ³n en mente, puedes ver que para 56% tiempo-en-mercado, obtienes -38.46% del potencial alcista del activo, y 66.67% del potencial bajista del activo.
All of the following: # India 1min Parabolic SAR (0.02, 0.02, 0.2, 0) < 1min Chart(close)
Exits as soon as None of the entry conditions are true any more.
The backtest results for this Parabolic SAR strategy on PLTR look quite problematic from mathematical perspective. The negative expectancy is already a red flag - you cannot make money with negative expectancy in long term.
The win rate of 38% combined with risk/reward of 1.51 is mathematically not viable. You need at least 39.8% win rate to break even with this risk/reward ratio, and you are below that threshold. The high number of trades (25.7 per day) makes these statistics quite reliable - this is not just random noise.
What concerns me most is that this strategy underperforms buy & hold by 14.4% (-4% vs +10.4%). The market exposure of 56.4% suggests the strategy is missing big chunks of upward movement while still taking unnecessary risks. With realized volatility data missing (NaN values), I cannot properly assess the risk-adjusted returns, but -8.6% maximum drawdown tells me risk management needs improvement.
I would not recommend trading this strategy in its current form. The mathematics simply don't work out. You either need to improve the win rate significantly or increase the risk/reward ratio. Perhaps adding additional confirmation signals could help filter out some of the losing trades.
Madre de dios, this strategy is a complete disaster! You're losing money in a bull market - that's like failing to sell water in the desert!
The market gave you a beautiful 10.4% move up, and your "brilliant" strategy managed to lose 4%. That's not just bad, that's spectacularly terrible! With 25 trades per day, you're basically paying your broker to help you lose money faster.
The win rate is pathetic - 38% when you need at least 39.8% just to break even? And those losing streaks... madre mΓa, 11 losses in a row! That must have been fun to watch, no? The max drawdown of 8.6% is like a kick in the teeth when the market was actually going up.
Look, I don't know who sold you on this Parabolic SAR nonsense, but they should be arrested for financial malpractice. This is what happens when people think they can just throw some indicators together and make money. The only thing "parabolic" here is how fast you're losing money.
Either completely rebuild this strategy from scratch or, better yet, just buy and hold like a normal person. At least then you'd be up 10.4% instead of down 4%. Sometimes the simplest solution is the best one, ΒΏno?
Total de Operaciones | 475 | Beneficio Neto | -4.0% | Beneficio Compra y MantΓ©n | 10.4% |
Tasa de Ganancia | 38% | Ratio Riesgo/Recompensa | 1.51 | MΓ‘ximo Drawdown | -8.6% |
MΓ‘ximo Drawdown del Activo | -12.9% | ExposiciΓ³n | 56.4% | Promedio de Velas en PosiciΓ³n | 10.9 |
Ratio de Sharpe | Ratio de Sortino | Volatilidad Realizada | β | ||
Racha MΓ‘xima de Ganancia | 7 | Racha Promedio de Ganancia | 1.6 | Racha MΓ‘xima de PΓ©rdida | 11 |
Racha Promedio de PΓ©rdida | 2.5 | Promedio de Operaciones por Mes | 770.3 | Promedio de Operaciones por DΓa | 25.7 |
Desv. Est. del Retorno | 0.4 | Desv. Est. de la PΓ©rdida | 0.2 | Desv. Est. de la Ganancia | 0.4 |
Expectativa | -0.0 | Beta | 0.43 |
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 |