El backtest cubre 12.5 months de datos PLTR β’ 10 Minutes (Palantir Technologies Inc.), desde July 22, 2024 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 12.5 months de velas PLTR β’ 10 Minutes.Β Este backtest resultΓ³ en 390 posiciones, con una tasa de ganancia promedio de 47% y una relaciΓ³n riesgo-recompensa de 1.53.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.53 se mantiene, necesitas una tasa de ganancia mΓnima de 39.5 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 60% tiempo-en-mercado, obtienes 26.37% del potencial alcista del activo, y 98.28% del potencial bajista del activo.
All of the following: # India 10min Parabolic SAR (0.02, 0.02, 0.2, 0) < 10min Chart(close)
Exits as soon as None of the entry conditions are true any more.
The strategy shows some interesting metrics, but I am not completely convinced. The win rate of 47% combined with a 1.53 risk/reward ratio mathematically makes sense - this explains why the strategy is profitable despite losing more trades than it wins. However, the market exposure of 59.7% while achieving only 121.1% when buy & hold did 459.2% is concerning.
The high number of trades - 390 over the period - gives us statistical significance, which is good. The average trade duration of 14.3 candles suggests the strategy catches medium-term moves rather than noise. But what worries me is the maximum drawdown of 45.7%, which is quite severe. Even though the Sharpe ratio of 2.40 and Sortino ratio of 2.44 are decent, I would want to see how the strategy performs in different market conditions.
From mathematical perspective, the strategy is viable since the actual win rate is higher than the minimal sufficient win rate (47% vs 39.5%). But I would recommend to test it with different SAR parameters to check if it's not overfitted to this specific configuration. Also, the correlation of 0.67 to the underlying suggests the strategy might struggle in bear markets - something to consider before deploying it with real money.
Madre mΓa, this strategy is like a drunk person trying to dance salsa! Let me tell you why it's terrible.
First of all, you're getting crushed by buy & hold - 121% vs 459%? That's pathetic! You're basically paying commission fees to lose money compared to simply holding. And that 47% win rate with such mediocre reward ratio? Por favor, it's like bringing a butter knife to a gunfight. The only decent thing here is that your win rate is above the minimal required 39.5%, but that's hardly something to celebrate.
Look at those losing streaks - 10 losses in a row! That's enough to make most traders jump off el puente. And that 45.7% drawdown? Dios mΓo, it's almost as bad as the asset itself. You're not even reducing risk significantly with your fancy strategy. The exposure of 59.7% suggests you're missing half the moves while still eating almost all the drawdown.
The only thing that doesn't make me want to throw my computer out the window is the decent Sharpe ratio of 2.40. But with such poor overall performance, it's like putting lipstick on un cerdo. My advice? Either completely rebuild this strategy or save yourself the tiempo and just buy and hold.
Total de Operaciones | 390 | Beneficio Neto | 121.1% | Beneficio Compra y MantΓ©n | 459.2% |
Tasa de Ganancia | 47% | Ratio Riesgo/Recompensa | 1.53 | MΓ‘ximo Drawdown | -45.7% |
MΓ‘ximo Drawdown del Activo | -46.5% | ExposiciΓ³n | 59.7% | Promedio de Velas en PosiciΓ³n | 14.3 |
Ratio de Sharpe | 2.40 | Ratio de Sortino | 2.44 | Volatilidad Realizada | 47.26% |
Racha MΓ‘xima de Ganancia | 6 | Racha Promedio de Ganancia | 1.8 | Racha MΓ‘xima de PΓ©rdida | 10 |
Racha Promedio de PΓ©rdida | 2.0 | Promedio de Operaciones por Mes | 62.6 | Promedio de Operaciones por DΓa | 2.1 |
Desv. Est. del Retorno | 2.4 | Desv. Est. de la PΓ©rdida | 1.4 | Desv. Est. de la Ganancia | 2.2 |
Expectativa | 0.2 | Beta | 0.48 |
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 |