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 38 days de datos NVDA β’ 1 Minute (NVIDIA Corporation), desde June 3, 2025 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 38 days de velas NVDA β’ 1 Minute.Β Este backtest resultΓ³ en 36 posiciones, con una tasa de ganancia promedio de 28% y una relaciΓ³n riesgo-recompensa de 2.86.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.86 se mantiene, necesitas una tasa de ganancia mΓnima de 25.9 para ser rentable. AsΓ que vas bien hasta ahora.Β Sin embargo, 36 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 61% tiempo-en-mercado, obtienes 7.19% del potencial alcista del activo, y 179.55% del potencial bajista del activo.
All of the following: # "Papa" 1min Simple Moving Average (50, 0, close) Crosses β 1min Simple Moving Average (200, 0, close)
All of the following: # "India" 1min Simple Moving Average (50, 0, close) Crosses β 1min Simple Moving Average (200, 0, close)
These results show some interesting characteristics, but I am not so convinced of the strategy. The low win rate of 28% is compensated by a good risk/reward ratio of 2.86, which mathematically makes sense. But still something bothers me here.
The strategy significantly underperforms buy and hold (1.2% vs 16.7%), which is not good for such an active strategy with 36 trades. Also the maximum drawdown of 7.9% is quite high compared to the asset's drawdown of 4.4%. This means the strategy actually amplifies risk instead of managing it. The longest losing streak of 9 trades in row is also problematic - this would be psychologically very difficult to trade, even if you follow the mathematics.
From pure statistics perspektive, the strategy is viable because actual win rate is above minimal required win rate. But the high market exposure of 60.7% combined with underperformance suggests the timing is not optimal. I would suggest to either look for additional filters to improve entry timing, or consider testing on different timeframes. Maybe 5 minute or 15 minute charts would produce more reliable signals for this type of strategy.
Total de Operaciones | 36 | Beneficio Neto | 1.2% | Beneficio Compra y MantΓ©n | 16.7% |
Tasa de Ganancia | 28% | Ratio Riesgo/Recompensa | 2.86 | MΓ‘ximo Drawdown | -7.9% |
MΓ‘ximo Drawdown del Activo | -4.4% | ExposiciΓ³n | 60.7% | Promedio de Velas en PosiciΓ³n | 167.5 |
Ratio de Sharpe | Ratio de Sortino | Volatilidad Realizada | β | ||
Racha MΓ‘xima de Ganancia | 2 | Racha Promedio de Ganancia | 1.3 | Racha MΓ‘xima de PΓ©rdida | 9 |
Racha Promedio de PΓ©rdida | 3.3 | Promedio de Operaciones por Mes | 56.8 | Promedio de Operaciones por DΓa | 1.9 |
Desv. Est. del Retorno | 1.4 | Desv. Est. de la PΓ©rdida | 0.4 | Desv. Est. de la Ganancia | 1.9 |
Expectativa | 0.1 | Beta | 0.54 |
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 |