El backtest cubre 7 days de datos BTCUSDT β’ 1 Minute (Bitcoin vs Tether, Binance US), desde July 25, 2025 hasta July 31, 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 Parabolic SAR flip en 7 days de velas BTCUSDT β’ 1 Minute.Β Este backtest resultΓ³ en 284 posiciones, con una tasa de ganancia promedio de 36% y una relaciΓ³n riesgo-recompensa de 1.47.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.47 se mantiene, necesitas una tasa de ganancia mΓnima de 40.5 para ser rentable. Β‘AsΓ que estΓ‘s jodido!Β Las mΓ©tricas clave son las siguientes:
Con esa exposiciΓ³n en mente, puedes ver que para 55% tiempo-en-mercado, obtienes -540.00% del potencial alcista del activo, y 77.27% del potencial bajista del activo.
All of the following: # India 1min Parabolic SAR (0.02, 0.02, 0.2, 0) < 1min Chart(close)
Exits as soon as None of the entry conditions are true any more.
The backtest results show some serious problems. First thing I notice is the high frequency - 94.7 trades per day is way too much. This causes high exposure to spreads and fees which will eat your profits in real trading.
The win rate of 36% combined with risk/reward of 1.47 is mathematically not viable. Even though the average win (0.14%) is larger than average loss (-0.09%), the low win rate makes it impossible to be profitable in the long run. The negative expectancy of -0.1 confirms this. You are basically losing money with statistical certainty.
The drawdown of -3.4% might look small, but considering this is only 7 days of data, it is quite significant. The strategy underperformed buy & hold by 3.2% which is not good. Also the market exposure of 55% suggests the strategy misses lot of moves, while still managing to lose money when it trades.
I would completely reject this strategy. The mathematical metrics show it has no edge. My suggestion would be to either increase the timeframe to reduce noise trading, or implement stronger filters for entry/exit conditions. But in current form, this strategy should not be traded with real money.
Yo fam, this SAR flip strategy on BTC is giving me some mixed feelings! π€ The volume is insane with almost 100 trades per day, which is exactly what I'm looking for as a scalper trying to make those quick gains! π
But I gotta keep it real - that 36% win rate with a -2.7% net loss over just a week is kinda rough. Even though we're getting bigger wins than losses (0.14% vs -0.09%), we're just not winning often enough to make it work. The strategy's underperforming buy & hold too, which ain't great.
That said, I'm seeing some potential here! π The risk/reward ratio is decent at 1.47, and we've got good win rate leeway according to the stats. Maybe with some tweaking on the entry/exit conditions and maybe adding some filters for choppy markets, this could be turned into something profitable. Might experiment with this during my Wendy's breaks! Let me know if anyone's got suggestions for improving it - we're all gonna make it! π
Total de Operaciones | 284 | Beneficio Neto | -2.7% | Beneficio Compra y MantΓ©n | 0.5% |
Tasa de Ganancia | 36% | Ratio Riesgo/Recompensa | 1.47 | MΓ‘ximo Drawdown | -3.4% |
MΓ‘ximo Drawdown del Activo | -4.4% | ExposiciΓ³n | 55.0% | Promedio de Velas en PosiciΓ³n | 11.6 |
Ratio de Sharpe | Ratio de Sortino | Volatilidad Realizada | β | ||
Racha MΓ‘xima de Ganancia | 6 | Racha Promedio de Ganancia | 1.5 | Racha MΓ‘xima de PΓ©rdida | 10 |
Racha Promedio de PΓ©rdida | 2.7 | Promedio de Operaciones por Mes | 2840.0 | Promedio de Operaciones por DΓa | 94.7 |
Desv. Est. del Retorno | 0.2 | Desv. Est. de la PΓ©rdida | 0.1 | Desv. Est. de la Ganancia | 0.1 |
Expectativa | -0.1 | Beta | 0.47 |
common.strategy | exposiciΓ³n | rendimiento vs activo | drawdown vs activo | tasa de ganancia | recompensa/ riesgo |
---|---|---|---|---|---|
BTCUSDT β’ 1 Minute | 55% | (-2.7%/0.5%) -5.40x | (-3.4%/-4.4%) 0.77x | 36 | 1.5 |
EURUSD β’ 1 Minute | 55% | (-1.7%/-2.7%) 0.63x | (-1.9%/-3.3%) 0.58x | 37 | 1.3 |
GLD β’ 1 Minute | 56% | (-4.4%/-0.9%) 4.89x | (-4.9%/-4.8%) 1.02x | 41 | 1.1 |
NVDA β’ 1 Minute | 56% | (11.3%/20.6%) 0.55x | (-3.2%/-5.3%) 0.60x | 40 | 2.0 |
PLTR β’ 1 Minute | 56% | (-4.0%/10.4%) -0.38x | (-8.6%/-12.9%) 0.67x | 38 | 1.5 |
SPY β’ 1 Minute | 58% | (1.4%/4.0%) 0.35x | (-2.0%/-1.5%) 1.33x | 41 | 1.6 |
TSLA β’ 1 Minute | 55% | (-5.0%/-9.9%) 0.51x | (-11.0%/-15.9%) 0.69x | 38 | 1.5 |
WMT β’ 1 Minute | 55% | (-0.8%/-0.7%) 1.14x | (-2.9%/-5.1%) 0.57x | 37 | 1.6 |
BTCUSDT β’ 10 Minutes | 57% | (3.2%/4.7%) 0.68x | (-10.6%/-11.7%) 0.91x | 39 | 1.6 |
EURUSD β’ 10 Minutes | 56% | (-1.3%/0.6%) -2.17x | (-2.3%/-3.6%) 0.64x | 40 | 1.4 |
GLD β’ 10 Minutes | 57% | (22.1%/37.4%) 0.59x | (-8.4%/-8.3%) 1.01x | 46 | 1.6 |
NVDA β’ 10 Minutes | 58% | (24.3%/45.0%) 0.54x | (-28.0%/-42.8%) 0.65x | 44 | 1.4 |
PLTR β’ 10 Minutes | 60% | (121.1%/459.2%) 0.26x | (-45.7%/-46.5%) 0.98x | 47 | 1.5 |
SPY β’ 10 Minutes | 59% | (7.9%/14.1%) 0.56x | (-16.1%/-20.7%) 0.78x | 44 | 1.4 |
TSLA β’ 10 Minutes | 56% | (86.8%/24.4%) 3.56x | (-30.8%/-55.3%) 0.56x | 43 | 1.7 |
WMT β’ 10 Minutes | 58% | (37.0%/38.7%) 0.96x | (-12.4%/-23.8%) 0.52x | 45 | 1.7 |
BTCUSDT β’ 1 Hour | 55% | (40.1%/65.5%) 0.61x | (-25.5%/-30.6%) 0.83x | 42 | 1.6 |
EURUSD β’ 1 Hour | 55% | (-3.2%/3.5%) -0.91x | (-7.5%/-9.0%) 0.83x | 39 | 1.5 |
GLD β’ 1 Hour | 55% | (61.4%/118.5%) 0.52x | (-21.7%/-22.2%) 0.98x | 43 | 1.8 |
NVDA β’ 1 Hour | 58% | (1284.1%/3304.6%) 0.39x | (-42.2%/-68.0%) 0.62x | 47 | 1.8 |
PLTR β’ 1 Hour | 55% | (538.0%/1459.0%) 0.37x | (-77.3%/-86.6%) 0.89x | 42 | 2.0 |
SPY β’ 1 Hour | 61% | (70.4%/104.7%) 0.67x | (-14.9%/-35.1%) 0.42x | 45 | 1.6 |
TSLA β’ 1 Hour | 56% | (5558.2%/1240.0%) 4.48x | (-40.4%/-75.1%) 0.54x | 44 | 2.4 |
WMT β’ 1 Hour | 57% | (100.4%/142.7%) 0.70x | (-18.3%/-26.9%) 0.68x | 43 | 1.8 |
BTCUSDT β’ Daily | 57% | (379.6%/1339.3%) 0.28x | (-68.0%/-76.6%) 0.89x | 43 | 2.3 |
EURUSD β’ Daily | 55% | (-1.5%/8.0%) -0.19x | (-17.8%/-23.3%) 0.76x | 37 | 1.7 |
GLD β’ Daily | 57% | (301.4%/585.6%) 0.51x | (-23.7%/-45.3%) 0.52x | 46 | 1.9 |
NVDA β’ Daily | 59% | (14739.3%/417479.9%) 0.04x | (-76.5%/-90.0%) 0.85x | 46 | 2.0 |
PLTR β’ Daily | 57% | (559.1%/1476.3%) 0.38x | (-50.4%/-84.9%) 0.59x | 49 | 2.7 |
SPY β’ Daily | 65% | (117.1%/1354.3%) 0.09x | (-48.3%/-56.7%) 0.85x | 47 | 1.4 |
TSLA β’ Daily | 57% | (440.9%/25131.3%) 0.02x | (-75.3%/-75.0%) 1.00x | 37 | 2.6 |
WMT β’ Daily | 59% | (476.7%/10620.7%) 0.04x | (-60.7%/-50.6%) 1.20x | 45 | 1.6 |