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 38 days de datos TSLA β’ 1 Minute (Tesla, Inc.), desde June 17, 2025 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 38 days de velas TSLA β’ 1 Minute.Β Este backtest resultΓ³ en 155 posiciones, con una tasa de ganancia promedio de 35% y una relaciΓ³n riesgo-recompensa de 1.91.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.91 se mantiene, necesitas una tasa de ganancia mΓnima de 34.4 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 26% tiempo-en-mercado, obtienes -350.00% del potencial alcista del activo, y 66.67% del potencial bajista del activo.
All of the following: # Papa 1min Chart(high) > 1min Range (20, 0), High (1 candles ago) All of the following: (within 5 candles) 1min Relative Volume (20, SMA, 1) > 1.5
All of the following: # Delta 1min Chart(close) < 1min Range (20, 0), Middle
The backtest shows some interesting characteristics, but I am not fully convinced about the strategy robustness. Let me explain why.
The positive aspects are the good Risk/Reward ratio of 1.91 and that the strategy outperforms buy & hold slightly. Also the win rate of 35% is above the minimal required win rate, which is mathematically good. But the maximal drawdown of -12.8% is quite high for such a short timeframe, and with 8.2 trades per day the strategy seems bit overactive, which could lead to high transaction costs in real trading.
The most concerning part is the -7.1% performance in last month with -59.3% CAGR. This indicates the strategy might be curve fitted to earlier data periods and fails to perform in more recent market conditions. I would recommend to test with different lookback periods and maybe reduce trade frequency to improve quality of signals. Also the strategy seems to work better in ranging markets than trending ones, so you should consider adding trend filters.
Total de Operaciones | 155 | Beneficio Neto | 0.7% | Beneficio Compra y MantΓ©n | -0.2% |
Tasa de Ganancia | 35% | Ratio Riesgo/Recompensa | 1.91 | MΓ‘ximo Drawdown | -12.8% |
MΓ‘ximo Drawdown del Activo | -19.2% | ExposiciΓ³n | 25.6% | Promedio de Velas en PosiciΓ³n | 15.5 |
Ratio de Sharpe | Ratio de Sortino | Volatilidad Realizada | β | ||
Racha MΓ‘xima de Ganancia | 4 | Racha Promedio de Ganancia | 1.6 | Racha MΓ‘xima de PΓ©rdida | 8 |
Racha Promedio de PΓ©rdida | 2.8 | Promedio de Operaciones por Mes | 244.7 | Promedio de Operaciones por DΓa | 8.2 |
Desv. Est. del Retorno | 1.0 | Desv. Est. de la PΓ©rdida | 0.6 | Desv. Est. de la Ganancia | 1.3 |
Expectativa | 0.0 | Beta | 0.28 |
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 |