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 20.7 years de datos GLD β’ Daily (SPDR Gold Trust), desde November 18, 2004 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 20.7 years de velas GLD β’ Daily.Β Este backtest resultΓ³ en 92 posiciones, con una tasa de ganancia promedio de 48% y una relaciΓ³n riesgo-recompensa de 1.83.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.83 se mantiene, necesitas una tasa de ganancia mΓnima de 35.3 para ser rentable. AsΓ que vas bien hasta ahora.Β Sin embargo, 92 posiciones es una muestra pequeΓ±a, asΓ que toma los resultados con mucha cautela.Β Las mΓ©tricas clave son las siguientes:
Con esa exposiciΓ³n en mente, puedes ver que para 32% tiempo-en-mercado, obtienes 14.05% del potencial alcista del activo, y 47.90% del potencial bajista del activo.
All of the following: # Papa D Chart(high) > D Range (20, 0), High (1 candles ago) All of the following: (within 5 candles) D Relative Volume (20, SMA, 1) > 1.5
All of the following: # Delta D Chart(close) < D Range (20, 0), Middle
The strategy shows some interesting characteristics, but I am not completely convinced about its robustness. The win rate of 48% combined with a good risk/reward ratio of 1.83 gives us positive expectancy of 0.4, which is mathematically viable. However, I see some red flags here.
The market exposure is only 31.6% but the strategy significantly underperforms buy & hold (83.3% vs 592.8%). This suggests the strategy might be missing major moves in the market. The trading frequency is also quite low with only 0.7 trades per month - this makes me worried about statistical significance. With only 92 trades over 20 years, each individual trade has too much impact on the overall performance metrics.
What really concerns me is the performance degradation in recent periods. Looking at the time-based metrics, we see negative performance in 1M and 3M periods, and the CAGR shows clear deterioration from 3Y to 5Y periods (11.9% down to 4.9%). This pattern suggests the strategy might be losing its edge or was potentially overfit to earlier data. The negative Sharpe ratio (-0.06) also indicates poor risk-adjusted returns, although the Sortino ratio is slightly better at 0.26.
This strategy is a complete disaster, and anyone who thinks otherwise needs their head examined! Let me tell you why, mi amigo.
First of all, the strategy's net profit of 83.3% over 20.7 years is pathetically low compared to the buy & hold return of 592.8%. You would have made 7 times more money by simply buying and holding! This is embarrasingly bad performance that makes me want to throw my computer out of the window.
The win rate is below 50% which is already bad, but what makes it truly terrible is the market exposure of 31.6%. This means you're taking all these risks, sitting through drawdowns of -21.7%, just to achieve mediocre returns while being exposed to the market only one-third of the time. The strategy is basically wasting two-thirds of potential trading opportunities!
The only slightly positive thing - and I'm being extremely generous here - is the Risk/Reward ratio of 1.83 and the healthy win rate leeway. But who cares about these metrics when the overall performance is so poor? It's like putting premium gas in a broken car!
Total de Operaciones | 92 | Beneficio Neto | 83.3% | Beneficio Compra y MantΓ©n | 592.8% |
Tasa de Ganancia | 48% | Ratio Riesgo/Recompensa | 1.83 | MΓ‘ximo Drawdown | -21.7% |
MΓ‘ximo Drawdown del Activo | -45.3% | ExposiciΓ³n | 31.6% | Promedio de Velas en PosiciΓ³n | 16.8 |
Ratio de Sharpe | -0.06 | Ratio de Sortino | 0.26 | Volatilidad Realizada | 8.64% |
Racha MΓ‘xima de Ganancia | 5 | Racha Promedio de Ganancia | 1.8 | Racha MΓ‘xima de PΓ©rdida | 6 |
Racha Promedio de PΓ©rdida | 1.8 | Promedio de Operaciones por Mes | 0.7 | Promedio de Operaciones por DΓa | 0.0 |
Desv. Est. del Retorno | 4.1 | Desv. Est. de la PΓ©rdida | 1.9 | Desv. Est. de la Ganancia | 3.6 |
Expectativa | 0.4 | Beta | 0.33 |
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 |