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 WMT β’ 1 Minute (Walmart 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 WMT β’ 1 Minute.Β Este backtest resultΓ³ en 200 posiciones, con una tasa de ganancia promedio de 32% y una relaciΓ³n riesgo-recompensa de 2.04.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.04 se mantiene, necesitas una tasa de ganancia mΓnima de 32.9 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 31% tiempo-en-mercado, obtienes -15.15% del potencial alcista del activo, y 62.75% 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 results show some concerning patterns. While the Win Rate Leeway looks good at first glance, the overall strategy performance is quite problematic. A negative net profit of -0.5% against a buy & hold profit of 3.3% shows that this strategy is underperforming the market significantly.
The win rate of 32% is very low, even though the Risk/Reward ratio of 2.04 mathematically balances it. What worries me most is the high frequency of trades - 10.5 trades per day is excessive and will result in high transaction costs which are not even factored in these results yet. The maximum losing streak of 13 trades in combination with the high trade frequency could lead to substantial drawdowns in real trading conditions.
From pure mathematical perspective, the strategy shows some potential due to the positive Win Rate Leeway, but the market exposure of only 30.9% suggests it might be missing important moves. The average holding time of 14.4 candles appears too short for capturing meaningful price movements. I would suggest optimizing the entry conditions to reduce false signals and maybe increasing the holding period to capture more of the trend movement.
Madre mia, this strategy is a complete disaster! Your win rate is pathetically low at 32% - you might as well be throwing darts blindfolded! And somehow you managed to lose money (-0.5%) while the market was actually up 3.3%. Impressive how bad that is!
The only somewhat decent thing here is the Risk/Reward ratio of 2.04, but what good is that when you're losing more than 2/3 of your trades? And those losing streaks... 13 losses in a row? That's enough to make anyone's account bleed to death! The drawdown of -3.2% might not look terrible, but with such poor performance it's just the tip of the iceberg.
Look, I've seen bad strategies before, but this one is especialmente terrible. You're doing way too many trades (10.5 per day) with horrible accuracy. The market exposure of 30.9% suggests you're getting in and out like a drunk monkey. And that -10.7% CAGR compared to the asset's +2.5%? Magnifico... magnificamente terrible!
My suggestion? Throw this strategy in la basura where it belongs and start over. And next time, try to actually make money instead of donating it to the market.
Total de Operaciones | 200 | Beneficio Neto | -0.5% | Beneficio Compra y MantΓ©n | 3.3% |
Tasa de Ganancia | 32% | Ratio Riesgo/Recompensa | 2.04 | MΓ‘ximo Drawdown | -3.2% |
MΓ‘ximo Drawdown del Activo | -5.1% | ExposiciΓ³n | 30.9% | Promedio de Velas en PosiciΓ³n | 14.4 |
Ratio de Sharpe | Ratio de Sortino | Volatilidad Realizada | β | ||
Racha MΓ‘xima de Ganancia | 6 | Racha Promedio de Ganancia | 1.7 | Racha MΓ‘xima de PΓ©rdida | 13 |
Racha Promedio de PΓ©rdida | 3.1 | Promedio de Operaciones por Mes | 315.8 | Promedio de Operaciones por DΓa | 10.5 |
Desv. Est. del Retorno | 0.2 | Desv. Est. de la PΓ©rdida | 0.1 | Desv. Est. de la Ganancia | 0.2 |
Expectativa | -0.0 | Beta | 0.34 |
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 |