El backtest cubre 5.7 years de datos TSLA β’ 1 Hour (Tesla, Inc.), desde November 14, 2019 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 5.7 years de velas TSLA β’ 1 Hour.Β Este backtest resultΓ³ en 359 posiciones, con una tasa de ganancia promedio de 44% y una relaciΓ³n riesgo-recompensa de 2.36.Β Si asumes que la relaciΓ³n riesgo-recompensa de 2.36 se mantiene, necesitas una tasa de ganancia mΓnima de 29.8 para ser rentable. AsΓ que vas bien hasta ahora.Β Las mΓ©tricas clave son las siguientes:
Con esa exposiciΓ³n en mente, puedes ver que para 56% tiempo-en-mercado, obtienes 448.24% del potencial alcista del activo, y 53.79% del potencial bajista del activo.
All of the following: # India 60min Parabolic SAR (0.02, 0.02, 0.2, 0) < 60min Chart(close)
Exits as soon as None of the entry conditions are true any more.
The strategy shows interesting mathematical characteristics, but I have some concerns about its stability. The win rate of 44% combined with a risk/reward ratio of 2.36 gives us a positive expectancy of 0.5, which is theoretically viable. The win rate leeway of 43.7% above the minimal required win rate is quite robust - this provides good statistical buffer for strategy deterioration.
However, I notice problematic volatility patterns. The max drawdown of 40.4% is significant, and the realized volatility of 44.51% suggests high risk exposure. What worries me most is the inconsistent performance across different timeframes - especially the dramatic swings in recent periods (-936.3% in 1M vs +2035.5% in 1Y). Such extreme variance indicates potential instability in the underlying mathematical model.
From pure statistical perspective, the strategy shows alpha with 5558.2% net profit vs 1240.0% buy & hold over 5.7 years. But the Sharpe ratio of 1.30 and Sortino of 0.67 are mediocre for such high returns, suggesting inefficient risk-adjusted performance. I would recommend implementing stricter position sizing rules and adding some momentum filters to improve the risk metrics before considering real trading implementation.
Yo fam, this backtest on TSLA is looking pretty fire! π Let me break it down for my trading homies.
First off, we're crushing the buy & hold strategy with a 5558% gain vs 1240% - that's some serious tendies right there! π The Win Rate might look kinda mid at 44%, but check this out: our winners are hitting 6.83% while losses are only -2.90%. That's a juicy 2.36 Risk/Reward ratio, which means we're playing this smart. Plus, we've got a 43.7% cushion above the minimum win rate needed - that's some solid margin for error!
The drawdown of -40.4% is a bit spicy πΆοΈ, but hey, it's TSLA we're talking about - the stock itself dropped 75.1% during the same period. We're getting decent exposure at 56% market time, and averaging about 10 trades per month, which keeps those commission costs reasonable for us Wendy's warriors trying to make it big.
The most bullish thing here is the consistent performance over different timeframes, especially those 3-5 year numbers. Sure, there's some volatility in the shorter terms, but that's just part of the game when you're trying to catch those parabolic moves! ππ
Madre mΓa, this strategy is like a rollercoaster with some serious issues! Let me tell you what's really wrong here.
First, that 5558% total return looks impressive, but don't let it fool you - it's built on very shaky foundation. The win rate is terrible - only 44%! Yes, yes, I know the Risk/Reward ratio of 2.36 mathematically makes it work, but why would anyone want to be wrong more than half the time? This is like playing Russian roulette with your money, pero con mΓ‘s balas!
The drawdown of 40.4% is absolutely horrifying. No professional trader would touch a strategy with such a massive drawdown potential. And look at those losing streaks - 9 losses in a row! This would destroy most traders psychologically before they could ever see those supposedly amazing returns.
The recent performance is even more concerning - that -936% in the last month and -1077% over 6 months should make anyone run away screaming. The volatility metrics are through the roof too. This is exactly the kind of strategy that works beautifully in backtests until it completely destroys your account in real trading.
If you're seriously considering trading this, you either have nerves of steel or you're completely loco. My professional advice? Back to the drawing board. This is not a strategy, this is a gambling addiction waiting to happen.
Total de Operaciones | 359 | Beneficio Neto | 5558.2% | Beneficio Compra y MantΓ©n | 1240.0% |
Tasa de Ganancia | 44% | Ratio Riesgo/Recompensa | 2.36 | MΓ‘ximo Drawdown | -40.4% |
MΓ‘ximo Drawdown del Activo | -75.1% | ExposiciΓ³n | 56.0% | Promedio de Velas en PosiciΓ³n | 14.6 |
Ratio de Sharpe | 1.30 | Ratio de Sortino | 0.67 | Volatilidad Realizada | 44.51% |
Racha MΓ‘xima de Ganancia | 6 | Racha Promedio de Ganancia | 2.0 | Racha MΓ‘xima de PΓ©rdida | 9 |
Racha Promedio de PΓ©rdida | 2.6 | Promedio de Operaciones por Mes | 10.3 | Promedio de Operaciones por DΓa | 0.3 |
Desv. Est. del Retorno | 7.2 | Desv. Est. de la PΓ©rdida | 2.0 | Desv. Est. de la Ganancia | 7.7 |
Expectativa | 0.5 | Beta | 0.49 |
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 |