La estrategia de Cruce de Medias MΓ³viles utiliza dos medias mΓ³viles de diferentes perΓodos para generar seΓ±ales de compra y venta. Aproxima la idea de un mercado en tendencia usando 2 SMAs, una SMA corta y rΓ‘pida (50) y otra SMA larga y lenta (200). Compra cuando una SMA corta (50) cruza hacia arriba una SMA larga (200), implicando que la direcciΓ³n del mercado ha cambiado. Vende cuando una SMA corta (50) cruza hacia abajo una SMA larga (200). Estas son medias mΓ³viles bastante largas, lo que significa que esta estrategia estΓ‘ naturalmente destinada a capturar movimientos mΓ‘s grandes, y por lo tanto podrΓa no ser adecuada para marcos de tiempo cortos. Β‘Pero suposiciones como esa no significan nada, porque la hemos backtesteado! CompruΓ©balo tΓΊ mismo.
El backtest cubre 12.6 months de datos GLD β’ 10 Minutes (SPDR Gold Trust), desde June 28, 2024 hasta July 11, 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 50/200 SMA cross en 12.6 months de velas GLD β’ 10 Minutes.Β Este backtest resultΓ³ en 28 posiciones, con una tasa de ganancia promedio de 54% y una relaciΓ³n riesgo-recompensa de 3.10.Β Si asumes que la relaciΓ³n riesgo-recompensa de 3.10 se mantiene, necesitas una tasa de ganancia mΓnima de 24.4 para ser rentable. AsΓ que vas bien hasta ahora.Β Sin embargo, 28 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 58% tiempo-en-mercado, obtienes 59.73% del potencial alcista del activo, y 71.08% del potencial bajista del activo.
All of the following: # "Papa" 10min Simple Moving Average (50, 0, close) Crosses β 10min Simple Moving Average (200, 0, close)
All of the following: # "India" 10min Simple Moving Average (50, 0, close) Crosses β 10min Simple Moving Average (200, 0, close)
The backtest results for the 50/200 SMA cross strategy on GLD show some interessting characteristics, but I have concerns about its practical application.
The strategy shows decent risk metrics with a Sharpe of 1.88 and relatively low drawdown of 5.9%. The Risk/Reward ratio of 3.10 combined with 54% win rate is mathematically sound - you only need 24.4% win rate to break even, which gives good safety margin. However, with only 28 trades over 12.6 months (about 4.4 trades per month), the sample size is too small to make statistically significant conclusions. We need minimum 100 trades to have meaningful confidence in these numbers.
What worries me most is that the strategy underperformed buy & hold by quite a margin (26.1% vs 43.7%). This suggests the strategy might be missing important moves while trying to filter noise. The market exposure of 57.5% explains part of this - you are only participating in about half the moves. For a trending instrument like GLD, this could be suboptimal. I would suggest testing variations with faster moving averages to increase trade frequency and capture more moves, maybe 20/50 SMA or even 10/20 SMA.
Total de Operaciones | 28 | Beneficio Neto | 26.1% | Beneficio Compra y MantΓ©n | 43.7% |
Tasa de Ganancia | 54% | Ratio Riesgo/Recompensa | 3.10 | MΓ‘ximo Drawdown | -5.9% |
MΓ‘ximo Drawdown del Activo | -8.3% | ExposiciΓ³n | 57.5% | Promedio de Velas en PosiciΓ³n | 204.3 |
Ratio de Sharpe | 1.88 | Ratio de Sortino | 2.73 | Volatilidad Realizada | 12.98% |
Racha MΓ‘xima de Ganancia | 3 | Racha Promedio de Ganancia | 1.9 | Racha MΓ‘xima de PΓ©rdida | 3 |
Racha Promedio de PΓ©rdida | 1.6 | Promedio de Operaciones por Mes | 4.4 | Promedio de Operaciones por DΓa | 0.1 |
Desv. Est. del Retorno | 2.2 | Desv. Est. de la PΓ©rdida | 0.5 | Desv. Est. de la Ganancia | 2.2 |
Expectativa | 1.2 | Beta | 0.5 |
common.strategy | exposiciΓ³n | rendimiento vs activo | drawdown vs activo | tasa de ganancia | recompensa/ riesgo |
---|---|---|---|---|---|
BTCUSDT β’ 1 Minute | 57% | (5.4%/8.9%) 0.61x | (-2.0%/-1.9%) 1.05x | 39 | 5.4 |
EURUSD β’ 1 Minute | 61% | (-1.1%/-1.0%) 1.10x | (-1.2%/-1.2%) 1.00x | 20 | 1.1 |
GLD β’ 1 Minute | 52% | (1.7%/0.0%) Infinityx | (-2.5%/-5.5%) 0.45x | 36 | 2.5 |
NVDA β’ 1 Minute | 61% | (1.2%/16.7%) 0.07x | (-7.9%/-4.4%) 1.80x | 28 | 2.9 |
SPY β’ 1 Minute | 60% | (0.5%/4.6%) 0.11x | (-2.5%/-2.1%) 1.19x | 33 | 2.3 |
TSLA β’ 1 Minute | 47% | (6.6%/-10.3%) -0.64x | (-11.2%/-21.4%) 0.52x | 39 | 2.1 |
WMT β’ 1 Minute | 41% | (-0.5%/-5.4%) 0.09x | (-3.9%/-6.4%) 0.61x | 29 | 2.4 |
BTCUSDT β’ 10 Minutes | 57% | (18.2%/22.4%) 0.81x | (-8.6%/-12.1%) 0.71x | 41 | 3.1 |
EURUSD β’ 10 Minutes | 55% | (2.5%/5.8%) 0.43x | (-2.2%/-4.3%) 0.51x | 38 | 2.4 |
GLD β’ 10 Minutes | 58% | (26.1%/43.7%) 0.60x | (-5.9%/-8.3%) 0.71x | 54 | 3.1 |
NVDA β’ 10 Minutes | 57% | (5.0%/32.9%) 0.15x | (-33.4%/-42.8%) 0.78x | 44 | 1.4 |
SPY β’ 10 Minutes | 60% | (6.6%/14.3%) 0.46x | (-13.4%/-20.7%) 0.65x | 41 | 1.9 |
TSLA β’ 10 Minutes | 47% | (18.4%/59.0%) 0.31x | (-34.8%/-55.3%) 0.63x | 41 | 1.9 |
WMT β’ 10 Minutes | 60% | (37.4%/40.1%) 0.93x | (-10.3%/-23.8%) 0.43x | 62 | 1.8 |
BTCUSDT β’ 1 Hour | 56% | (36.4%/68.2%) 0.53x | (-31.3%/-30.6%) 1.02x | 43 | 2.2 |
EURUSD β’ 1 Hour | 50% | (6.9%/6.8%) 1.01x | (-5.7%/-9.0%) 0.63x | 42 | 2.4 |
GLD β’ 1 Hour | 60% | (35.8%/117.6%) 0.30x | (-26.6%/-22.2%) 1.20x | 36 | 3.0 |
NVDA β’ 1 Hour | 61% | (783.4%/3126.3%) 0.25x | (-51.4%/-68.0%) 0.76x | 52 | 3.5 |
SPY β’ 1 Hour | 64% | (85.7%/106.7%) 0.80x | (-19.0%/-35.1%) 0.54x | 61 | 2.3 |
TSLA β’ 1 Hour | 55% | (2930.2%/1395.5%) 2.10x | (-38.7%/-75.1%) 0.52x | 56 | 6.0 |
WMT β’ 1 Hour | 60% | (33.6%/138.2%) 0.24x | (-28.4%/-26.9%) 1.06x | 50 | 1.6 |
BTCUSDT β’ Daily | 59% | (638.7%/1337.5%) 0.48x | (-61.1%/-76.6%) 0.80x | 83 | 7.3 |
EURUSD β’ Daily | 35% | (4.8%/10.8%) 0.44x | (-12.2%/-23.3%) 0.52x | 71 | 0.7 |
GLD β’ Daily | 61% | (242.9%/595.1%) 0.41x | (-36.4%/-45.3%) 0.80x | 46 | 6.4 |
NVDA β’ Daily | 65% | (83183.3%/373678.5%) 0.22x | (-57.1%/-90.0%) 0.63x | 77 | 16.0 |
SPY β’ Daily | 72% | (1127.3%/1316.3%) 0.86x | (-32.5%/-56.7%) 0.57x | 87 | 3.8 |
TSLA β’ Daily | 57% | (3139.0%/24185.2%) 0.13x | (-65.4%/-75.0%) 0.87x | 38 | 25.3 |
WMT β’ Daily | 64% | (1143.9%/13022.2%) 0.09x | (-57.1%/-50.6%) 1.13x | 39 | 8.1 |