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 5.7 years de datos WMT β’ 1 Hour (Walmart Inc.), desde November 8, 2019 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 5.7 years de velas WMT β’ 1 Hour.Β Este backtest resultΓ³ en 190 posiciones, con una tasa de ganancia promedio de 39% y una relaciΓ³n riesgo-recompensa de 2.41.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.41 se mantiene, necesitas una tasa de ganancia mΓnima de 29.3 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 33% tiempo-en-mercado, obtienes 41.94% del potencial alcista del activo, y 58.36% del potencial bajista del activo.
All of the following: # Papa 60min Chart(high) > 60min Range (20, 0), High (1 candles ago) All of the following: (within 5 candles) 60min Relative Volume (20, SMA, 1) > 1.5
All of the following: # Delta 60min Chart(close) < 60min Range (20, 0), Middle
The strategy shows some interesting charakteristics, but I am not fully convinced. The win rate of 39% is acceptable since we have a good risk/reward ratio of 2.41, making the strategy mathematically viable. However, the net profit of 60.9% over 5.7 years is significantly below the buy & hold return of 145.2%, which is concerning.
The market exposure of 33.4% suggests this is a relatively conservative strategy, which explains the lower volatility (9.85% vs asset's 20.10%). The max drawdown of -15.7% is quite decent compared to the asset's -26.9%. But the Sharpe ratio of 0.18 is quite poor - I would expect at least 0.5 for a strategy worth implementing. The average of 5.5 trades per month gives us enough statistical significance with 190 total trades, so these metrics should be fairly reliable.
From my mathematical perspective, while the strategy shows some promise with its risk management (good risk/reward, controlled drawdown), the poor risk-adjusted returns (low Sharpe) and significant underperformance versus buy & hold make it hard to justify implementing as is. I would suggest optimizing the entry conditions to improve the win rate while maintaining the good risk/reward ratio. Perhaps adjusting the volume threshold from 1.5 to something more selective could help.
Madre mΓa, this strategy is like a sick dog that needs to be put down! Let me tell you why.
First, the strategy significantly underperforms buy & hold (60.9% vs 145.2%). That's pathetic! You're basically losing money by being too clever, when you could have just bought and forget about it. And with a market exposure of just 33.4%, you're not even taking full advantage of the market movements.
The win rate is absolutely terrible - 39%! Even though your Risk/Reward ratio looks decent at 2.41, you're still getting beaten up constantly. Yes, you're technically above your minimal sufficient win rate, but why would you want to trade something that loses 61% of the time? That's masochistic!
The risk metrics are embarrasing - a Sharpe ratio of 0.18 is laughably bad. The strategy's volatility is lower than the asset's, but that's only because you're sitting out of the market most of the time like a scared cat. And that 15.7% drawdown? For such low market exposure, that's actually quite terrible.
Look, if you want to waste your time with mediocre results, be my guest. But this strategy needs either a complete overhaul or should be thrown in the garbage where it belongs. And I'm being kind here!
Total de Operaciones | 190 | Beneficio Neto | 60.9% | Beneficio Compra y MantΓ©n | 145.2% |
Tasa de Ganancia | 39% | Ratio Riesgo/Recompensa | 2.41 | MΓ‘ximo Drawdown | -15.7% |
MΓ‘ximo Drawdown del Activo | -26.9% | ExposiciΓ³n | 33.4% | Promedio de Velas en PosiciΓ³n | 16.6 |
Ratio de Sharpe | 0.18 | Ratio de Sortino | 0.70 | Volatilidad Realizada | 9.85% |
Racha MΓ‘xima de Ganancia | 5 | Racha Promedio de Ganancia | 1.6 | Racha MΓ‘xima de PΓ©rdida | 7 |
Racha Promedio de PΓ©rdida | 2.6 | Promedio de Operaciones por Mes | 5.5 | Promedio de Operaciones por DΓa | 0.2 |
Desv. Est. del Retorno | 1.8 | Desv. Est. de la PΓ©rdida | 0.7 | Desv. Est. de la Ganancia | 1.9 |
Expectativa | 0.3 | 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 |