El backtest cubre 9 days de datos EURUSD β’ 1 Minute (Euro vs USD spot (Interactive Brokers)), desde July 23, 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 9 days de velas EURUSD β’ 1 Minute.Β Este backtest resultΓ³ en 431 posiciones, con una tasa de ganancia promedio de 37% y una relaciΓ³n riesgo-recompensa de 1.28.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.28 se mantiene, necesitas una tasa de ganancia mΓnima de 43.9 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 62.96% del potencial alcista del activo, y 57.58% 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 for this Parabolic SAR strategy show some interesting patterns, but I have serious concerns about its viability.
First the positives: The strategy shows good activity with 431 trades over 9 days, which gives us statistical relevance. The market exposure of 54.5% is reasonable, and the strategy actually outperformed buy & hold by 1%. The win rate leeway being positive is also nice to see.
However, the fundamentals are problematic. A 37% win rate combined with nearly equal average win/loss sizes (both around 0.03%) creates negative expectancy of -0.1. This means the strategy loses money systematically. The high trading frequency (107.8 trades per day!) would also result in significant transaction costs in real trading which would make the -1.7% net loss even worse. The maximum drawdown of -1.9% relative to the small average trade size indicates poor risk management.
I would not recommend trading this strategy live. The mathematical foundation is not sound - you need either higher win rate or better reward/risk ratio to achieve positive expectancy. I would suggest optimizing the exit conditions to let winners run longer while cutting losses quicker. The entry signal might also need refinement since current win rate is too low for profitable trading.
Yo fam, this SAR flip strategy on EURUSD is pretty wild! π’ Running over 100 trades per day is some serious action, reminds me of my first week behind the Wendy's grill! π
Looking at these numbers though, I'm getting some mixed vibes. The -1.7% net profit isn't exactly lambo territory π, but check this out - it's actually beating buy & hold by a full percent! The max drawdown is only -1.9% which is super chill compared to some of the YOLO plays I've seen on the forums. Plus that 36.56% win rate leeway is actually kinda fire π₯ - means the strategy has room to breathe even when the market gets choppy.
Here's what's got me thinking though - with a 37% win rate and basically equal average wins and losses (both around 0.03%), we might need to tweak this bad boy a bit. Maybe tighten up those exits or let the winners run longer? Still, the fact that it's staying competitive with the market while only being exposed 54.5% of the time is pretty based. Might be worth paper trading this for a bit before going in with real tendies. ππ
Total de Operaciones | 431 | Beneficio Neto | -1.7% | Beneficio Compra y MantΓ©n | -2.7% |
Tasa de Ganancia | 37% | Ratio Riesgo/Recompensa | 1.28 | MΓ‘ximo Drawdown | -1.9% |
MΓ‘ximo Drawdown del Activo | -3.3% | ExposiciΓ³n | 54.5% | Promedio de Velas en PosiciΓ³n | 11.4 |
Ratio de Sharpe | Ratio de Sortino | Volatilidad Realizada | β | ||
Racha MΓ‘xima de Ganancia | 6 | Racha Promedio de Ganancia | 1.6 | Racha MΓ‘xima de PΓ©rdida | 11 |
Racha Promedio de PΓ©rdida | 2.5 | Promedio de Operaciones por Mes | 3232.5 | Promedio de Operaciones por DΓa | 107.8 |
Desv. Est. del Retorno | 0.0 | Desv. Est. de la PΓ©rdida | 0.0 | Desv. Est. de la Ganancia | 0.0 |
Expectativa | -0.1 | Beta | 0.46 |
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 |