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 39.4 years de datos WMT β’ Daily (Walmart Inc.), desde March 4, 1986 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 39.4 years de velas WMT β’ Daily.Β Este backtest resultΓ³ en 31 posiciones, con una tasa de ganancia promedio de 39% y una relaciΓ³n riesgo-recompensa de 8.05.Β Si asumes que la relaciΓ³n riesgo-recompensa de 8.05 se mantiene, necesitas una tasa de ganancia mΓnima de 11.1 para ser rentable. AsΓ que vas bien hasta ahora.Β Sin embargo, 31 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 64% tiempo-en-mercado, obtienes 8.78% del potencial alcista del activo, y 112.85% del potencial bajista del activo.
All of the following: # "Papa" D Simple Moving Average (50, 0, close) Crosses β D Simple Moving Average (200, 0, close)
All of the following: # "India" D Simple Moving Average (50, 0, close) Crosses β D Simple Moving Average (200, 0, close)
Madre mΓa, this strategy is complete garbage! I can't believe someone would even consider trading this. 31 trades in 39 years? Are you running a trading strategy or collecting rare stamps?
The win rate is pathetic - only 39%! Yes, yes, I see the "healthy leeway" above minimal win rate, but that's just because your winners are huge compared to losers. This is pure luck, not skill. You're basically waiting for a lottery ticket while bleeding money most of the time. The max drawdown of -57.1% is horrific - you could lose more than half your money! Who can stomach that?
Look at the exposure - 64.1% market exposure but you're massively underperforming buy & hold (1143.9% vs 13022.2%). This means you're basically sitting there like an idiot, missing out on most of the gains while still taking on huge risks. And those losing streaks! 5 losses in a row will make you want to jump out the window.
The only reason this doesn't look completely terrible is because you're testing it on WMT which has been a monster stock for decades. Put this on any other stock and watch your account go to zero. Do yourself a favor and either buy and hold or find a real strategy. This is embarassing.
Total de Operaciones | 31 | Beneficio Neto | 1143.9% | Beneficio Compra y MantΓ©n | 13022.2% |
Tasa de Ganancia | 39% | Ratio Riesgo/Recompensa | 8.05 | MΓ‘ximo Drawdown | -57.1% |
MΓ‘ximo Drawdown del Activo | -50.6% | ExposiciΓ³n | 64.1% | Promedio de Velas en PosiciΓ³n | 203.8 |
Ratio de Sharpe | 0.16 | Ratio de Sortino | 0.52 | Volatilidad Realizada | 16.88% |
Racha MΓ‘xima de Ganancia | 5 | Racha Promedio de Ganancia | 1.7 | Racha MΓ‘xima de PΓ©rdida | 5 |
Racha Promedio de PΓ©rdida | 3.2 | Promedio de Operaciones por Mes | 0.1 | Promedio de Operaciones por DΓa | 0.0 |
Desv. Est. del Retorno | 69.4 | Desv. Est. de la PΓ©rdida | 5.6 | Desv. Est. de la Ganancia | 100.8 |
Expectativa | 2.5 | Beta | 0.61 |
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 |