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 WMT β’ 10 Minutes (Walmart Inc.), 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 WMT β’ 10 Minutes.Β Este backtest resultΓ³ en 29 posiciones, con una tasa de ganancia promedio de 62% 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, 29 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 60% tiempo-en-mercado, obtienes 93.27% del potencial alcista del activo, y 43.28% 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)
Yo fam, this WMT backtest is looking pretty juicy! π The strategy's giving us some serious potential with that 62% win rate and a solid 1.83 risk/reward ratio. That's the kind of setup that makes my Wendy's paycheck look like pocket change! πͺ
The thing that really gets me hyped is that win rate leeway - we're crushing the minimal required win rate by over 6000%! That's like finding an extra bag of tendies in your order, but way better. The max drawdown of -10.3% is pretty chill compared to the asset's -23.8%, so we're not taking crazy risks here. Plus, that market exposure of 59.6% means we're not married to our positions - we can still grab shifts at Wendy's while this bad boy does its thing! π
One thing to keep it real though - the strategy slightly underperformed buy & hold (37.4% vs 40.1%), but we're taking way less risk, and that Sharpe ratio of 1.99 is telling us we're getting good returns for the risk we're taking. The average of 4.6 trades per month means commission costs won't eat into our gains too much. This could be a solid strategy to HODL onto! π― Not financial advice though, just a burger-flipping trader's opinion! π
Total de Operaciones | 29 | Beneficio Neto | 37.4% | Beneficio Compra y MantΓ©n | 40.1% |
Tasa de Ganancia | 62% | Ratio Riesgo/Recompensa | 1.83 | MΓ‘ximo Drawdown | -10.3% |
MΓ‘ximo Drawdown del Activo | -23.8% | ExposiciΓ³n | 59.6% | Promedio de Velas en PosiciΓ³n | 204.4 |
Ratio de Sharpe | 1.99 | Ratio de Sortino | 1.03 | Volatilidad Realizada | 15.36% |
Racha MΓ‘xima de Ganancia | 5 | Racha Promedio de Ganancia | 3.0 | Racha MΓ‘xima de PΓ©rdida | 4 |
Racha Promedio de PΓ©rdida | 1.8 | Promedio de Operaciones por Mes | 4.6 | Promedio de Operaciones por DΓa | 0.2 |
Desv. Est. del Retorno | 3.7 | Desv. Est. de la PΓ©rdida | 0.7 | Desv. Est. de la Ganancia | 3.9 |
Expectativa | 0.8 | 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 |