Der Backtest umfasst 12.5 months von PLTR β’ 10 Minutes (Palantir Technologies Inc.) Daten, von July 22, 2024 bis July 31, 2025.
Die Eigenkapitalkurve zeigt die Leistung der Strategie im Zeitverlauf. Sie sollten sie mit der Buy & Hold Performance des Assets vergleichen. Im Allgemeinen sollte der blaue Bereich deutlich ΓΌber dem grauen Bereich liegen.
Drawdown zeigt, wie viel Verluste (realisiert oder nicht realisiert) die Strategie im Vergleich zum hΓΆchsten Eigenkapitalpeak hatte. Vergleichen Sie dies mit dem Drawdown des Assets, um zu sehen, ob Ihre Strategie eine anstΓ€ndige Arbeit leistet, Sie von AbwΓ€rtsvolatilitΓ€t zu isolieren. Im Allgemeinen muss der rote Bereich gut innerhalb des grauen Bereichs liegen.
Also haben wir Parabolic SAR flip ΓΌber 12.5 months von PLTR β’ 10 Minutes Kerzen getestet.Β Dieser Backtest ergab 390 Positionen, mit einer durchschnittlichen Gewinnrate von 47% und einem Risiko-Rendite-VerhΓ€ltnis von 1.53.Β Wenn Sie annehmen, dass das 1.53 Risiko-Rendite-VerhΓ€ltnis gilt, benΓΆtigen Sie eine Mindestgewinnrate von 39.5, um profitabel zu sein. Sie stehen also gut da.Β Die wichtigsten Metriken sind wie folgt:
Mit dieser Exposition kΓΆnnen Sie erkennen, dass Sie bei 60% Marktzeit 26.37% des Asset-AufwΓ€rtspotenzials und 98.28% des Asset-AbwΓ€rtspotenzials erhalten.
All of the following: # India 10min Parabolic SAR (0.02, 0.02, 0.2, 0) < 10min Chart(close)
Exits as soon as None of the entry conditions are true any more.
The strategy shows some interesting metrics, but I am not completely convinced. The win rate of 47% combined with a 1.53 risk/reward ratio mathematically makes sense - this explains why the strategy is profitable despite losing more trades than it wins. However, the market exposure of 59.7% while achieving only 121.1% when buy & hold did 459.2% is concerning.
The high number of trades - 390 over the period - gives us statistical significance, which is good. The average trade duration of 14.3 candles suggests the strategy catches medium-term moves rather than noise. But what worries me is the maximum drawdown of 45.7%, which is quite severe. Even though the Sharpe ratio of 2.40 and Sortino ratio of 2.44 are decent, I would want to see how the strategy performs in different market conditions.
From mathematical perspective, the strategy is viable since the actual win rate is higher than the minimal sufficient win rate (47% vs 39.5%). But I would recommend to test it with different SAR parameters to check if it's not overfitted to this specific configuration. Also, the correlation of 0.67 to the underlying suggests the strategy might struggle in bear markets - something to consider before deploying it with real money.
Madre mΓa, this strategy is like a drunk person trying to dance salsa! Let me tell you why it's terrible.
First of all, you're getting crushed by buy & hold - 121% vs 459%? That's pathetic! You're basically paying commission fees to lose money compared to simply holding. And that 47% win rate with such mediocre reward ratio? Por favor, it's like bringing a butter knife to a gunfight. The only decent thing here is that your win rate is above the minimal required 39.5%, but that's hardly something to celebrate.
Look at those losing streaks - 10 losses in a row! That's enough to make most traders jump off el puente. And that 45.7% drawdown? Dios mΓo, it's almost as bad as the asset itself. You're not even reducing risk significantly with your fancy strategy. The exposure of 59.7% suggests you're missing half the moves while still eating almost all the drawdown.
The only thing that doesn't make me want to throw my computer out the window is the decent Sharpe ratio of 2.40. But with such poor overall performance, it's like putting lipstick on un cerdo. My advice? Either completely rebuild this strategy or save yourself the tiempo and just buy and hold.
Gesamttrades | 390 | Nettogewinn | 121.1% | Buy & Hold Gewinn | 459.2% |
Gewinnrate | 47% | Risiko/Rendite-VerhΓ€ltnis | 1.53 | Maximaler Drawdown | -45.7% |
Asset Maximaler Drawdown | -46.5% | Exposition | 59.7% | Durchschn. Kerzen in Position | 14.3 |
Sharpe-Ratio | 2.40 | Sortino-Ratio | 2.44 | Realisierte VolatilitΓ€t | 47.26% |
Max. Gewinnserie | 6 | Durchschn. Gewinnserie | 1.8 | Max. Verlustserie | 10 |
Durchschn. Verlustserie | 2.0 | Durchschn. Trades pro Monat | 62.6 | Durchschn. Trades pro Tag | 2.1 |
Rendite Std Dev | 2.4 | Verlust Std Dev | 1.4 | Gewinn Std Dev | 2.2 |
Erwartungswert | 0.2 | Beta | 0.48 |
common.strategy | Exposition | Leistung vs Asset | Drawdown vs Asset | Gewinnrate | Risiko/Rendite |
---|---|---|---|---|---|
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 |