Esta estrategia entra una vez que la acciΓ³n del precio rompe el rango de las ΓΊltimas 20 velas, acompaΓ±ada de un volumen de negociaciΓ³n elevado. Sale una vez que el precio cierra por debajo de una SMA(20). La idea es seguir las tendencias, aprovechando el impulso confirmado por el volumen.
El backtest cubre 12.5 months de datos WMT β’ 10 Minutes (Walmart Inc.), desde July 16, 2024 hasta July 25, 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 Range breakout en 12.5 months de velas WMT β’ 10 Minutes.Β Este backtest resultΓ³ en 209 posiciones, con una tasa de ganancia promedio de 41% y una relaciΓ³n riesgo-recompensa de 2.10.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.10 se mantiene, necesitas una tasa de ganancia mΓnima de 32.3 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 32% tiempo-en-mercado, obtienes 58.73% del potencial alcista del activo, y 22.27% del potencial bajista del activo.
All of the following: # Papa 10min Chart(high) > 10min Range (20, 0), High (1 candles ago) All of the following: (within 5 candles) 10min Relative Volume (20, SMA, 1) > 1.5
All of the following: # Delta 10min Chart(close) < 10min Range (20, 0), Middle
The results look quite solid from mathematical perspective. I see a few interesting patterns here which make me think this strategy has good potential.
First thing that catches my eye is the Risk/Reward ratio of 2.10 combined with 41% win rate. This is mathematically viable setup - you need only 32.3% win rate to break even, and you are achieving 41%. That's quite good margin of safety. The win rate leeway of 40.68 is significant enough to account for potential market changes without breaking the strategy.
However, I notice some concerning things in the data. The strategy underperforms buy & hold (23.2% vs 39.5%), which is not optimal. Also the maximum drawdown of -5.3% seems bit too optimistic for such long backtest period - I would expect higher drawdowns in real trading conditions. The correlation of 0.55 to underlying asset suggests strategy might not provide enough diversification benefit.
I would recommend to test this on different time periods and maybe add some position sizing rules. The average of 1.1 trades per day is good - not too frequent to make commission costs problem, but enough trades to have statistical significance. Just make sure to account for spread and commission in your real trading calculations.
Total de Operaciones | 209 | Beneficio Neto | 23.2% | Beneficio Compra y MantΓ©n | 39.5% |
Tasa de Ganancia | 41% | Ratio Riesgo/Recompensa | 2.10 | MΓ‘ximo Drawdown | -5.3% |
MΓ‘ximo Drawdown del Activo | -23.8% | ExposiciΓ³n | 32.3% | Promedio de Velas en PosiciΓ³n | 14.4 |
Ratio de Sharpe | 1.48 | Ratio de Sortino | 2.65 | Volatilidad Realizada | 11.57% |
Racha MΓ‘xima de Ganancia | 3 | Racha Promedio de Ganancia | 1.5 | Racha MΓ‘xima de PΓ©rdida | 6 |
Racha Promedio de PΓ©rdida | 2.2 | Promedio de Operaciones por Mes | 33.5 | Promedio de Operaciones por DΓa | 1.1 |
Desv. Est. del Retorno | 0.9 | Desv. Est. de la PΓ©rdida | 0.4 | Desv. Est. de la Ganancia | 0.9 |
Expectativa | 0.3 | Beta | 0.25 |
common.strategy | exposiciΓ³n | rendimiento vs activo | drawdown vs activo | tasa de ganancia | recompensa/ riesgo |
---|---|---|---|---|---|
BTCUSDT β’ 1 Minute | 26% | (0.4%/-0.5%) -0.80x | (-2.3%/-4.5%) 0.51x | 46 | 1.3 |
EURUSD β’ 1 Minute | 22% | (-0.5%/0.9%) -0.56x | (-0.6%/-0.7%) 0.86x | 22 | 2.8 |
GLD β’ 1 Minute | 32% | (0.6%/-1.4%) -0.43x | (-1.9%/-4.1%) 0.46x | 38 | 1.8 |
NVDA β’ 1 Minute | 25% | (7.8%/20.4%) 0.38x | (-3.7%/-5.3%) 0.70x | 34 | 3.0 |
PLTR β’ 1 Minute | 28% | (1.3%/15.0%) 0.09x | (-5.4%/-12.9%) 0.42x | 36 | 1.9 |
SPY β’ 1 Minute | 32% | (1.6%/6.6%) 0.24x | (-1.1%/-1.5%) 0.73x | 35 | 2.4 |
TSLA β’ 1 Minute | 26% | (0.7%/-0.2%) -3.50x | (-12.8%/-19.2%) 0.67x | 35 | 1.9 |
WMT β’ 1 Minute | 31% | (-0.5%/3.3%) -0.15x | (-3.2%/-5.1%) 0.63x | 32 | 2.0 |
BTCUSDT β’ 10 Minutes | 33% | (10.5%/14.3%) 0.73x | (-4.9%/-12.1%) 0.40x | 36 | 2.4 |
EURUSD β’ 10 Minutes | 23% | (1.1%/1.8%) 0.61x | (-1.2%/-4.3%) 0.28x | 39 | 1.8 |
GLD β’ 10 Minutes | 38% | (9.4%/35.8%) 0.26x | (-5.4%/-8.3%) 0.65x | 37 | 2.2 |
NVDA β’ 10 Minutes | 30% | (19.8%/37.4%) 0.53x | (-28.5%/-42.8%) 0.67x | 46 | 1.4 |
PLTR β’ 10 Minutes | 31% | (43.5%/467.7%) 0.09x | (-32.3%/-46.5%) 0.69x | 40 | 1.9 |
SPY β’ 10 Minutes | 33% | (5.1%/13.1%) 0.39x | (-9.7%/-20.7%) 0.47x | 39 | 1.8 |
TSLA β’ 10 Minutes | 28% | (30.7%/25.4%) 1.21x | (-21.4%/-55.3%) 0.39x | 40 | 1.9 |
WMT β’ 10 Minutes | 32% | (23.2%/39.5%) 0.59x | (-5.3%/-23.8%) 0.22x | 41 | 2.1 |
BTCUSDT β’ 1 Hour | 34% | (0.5%/70.3%) 0.01x | (-18.7%/-30.6%) 0.61x | 34 | 2.0 |
EURUSD β’ 1 Hour | 30% | (1.6%/7.1%) 0.23x | (-6.8%/-9.0%) 0.76x | 34 | 2.1 |
GLD β’ 1 Hour | 38% | (39.3%/122.5%) 0.32x | (-19.5%/-22.2%) 0.88x | 39 | 2.2 |
NVDA β’ 1 Hour | 44% | (555.6%/3243.4%) 0.17x | (-52.5%/-68.0%) 0.77x | 46 | 2.1 |
PLTR β’ 1 Hour | 38% | (449.7%/1466.7%) 0.31x | (-56.3%/-86.6%) 0.65x | 43 | 2.4 |
SPY β’ 1 Hour | 36% | (28.0%/107.0%) 0.26x | (-17.4%/-35.1%) 0.50x | 40 | 2.0 |
TSLA β’ 1 Hour | 39% | (1353.0%/1305.7%) 1.04x | (-40.8%/-75.1%) 0.54x | 39 | 3.1 |
WMT β’ 1 Hour | 33% | (60.9%/145.2%) 0.42x | (-15.7%/-26.9%) 0.58x | 39 | 2.4 |
BTCUSDT β’ Daily | 35% | (549.0%/1346.8%) 0.41x | (-54.7%/-76.6%) 0.71x | 47 | 3.3 |
GLD β’ Daily | 32% | (83.3%/592.8%) 0.14x | (-21.7%/-45.3%) 0.48x | 48 | 1.8 |
NVDA β’ Daily | 32% | (6469.1%/396269.9%) 0.02x | (-55.8%/-90.0%) 0.62x | 50 | 2.7 |
SPY β’ Daily | 22% | (90.1%/1344.4%) 0.07x | (-15.9%/-56.7%) 0.28x | 49 | 2.3 |
TSLA β’ Daily | 30% | (2791.1%/24273.6%) 0.11x | (-42.7%/-75.0%) 0.57x | 42 | 4.8 |
WMT β’ Daily | 30% | (30.4%/10116.3%) 0.00x | (-67.6%/-50.6%) 1.34x | 39 | 1.8 |