Diese Strategie steigt ein, sobald die Preisaktion aus der Spanne der letzten 20 Kerzen ausbricht, begleitet von erhΓΆhtem Handelsvolumen. Sie steigt aus, sobald der Preis unter einer SMA(20) schlieΓt. Die Idee ist es, Trends zu folgen und den durch Volumen bestΓ€tigten Momentum zu nutzen.
Der Backtest umfasst 38 days von TSLA β’ 1 Minute (Tesla, Inc.) Daten, von June 17, 2025 bis July 25, 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 Range breakout ΓΌber 38 days von TSLA β’ 1 Minute Kerzen getestet.Β Dieser Backtest ergab 155 Positionen, mit einer durchschnittlichen Gewinnrate von 35% und einem Risiko-Rendite-VerhΓ€ltnis von 1.91.Β Wenn Sie annehmen, dass das 1.91 Risiko-Rendite-VerhΓ€ltnis gilt, benΓΆtigen Sie eine Mindestgewinnrate von 34.4, 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 26% Marktzeit -350.00% des Asset-AufwΓ€rtspotenzials und 66.67% des Asset-AbwΓ€rtspotenzials erhalten.
All of the following: # Papa 1min Chart(high) > 1min Range (20, 0), High (1 candles ago) All of the following: (within 5 candles) 1min Relative Volume (20, SMA, 1) > 1.5
All of the following: # Delta 1min Chart(close) < 1min Range (20, 0), Middle
The backtest shows some interesting characteristics, but I am not fully convinced about the strategy robustness. Let me explain why.
The positive aspects are the good Risk/Reward ratio of 1.91 and that the strategy outperforms buy & hold slightly. Also the win rate of 35% is above the minimal required win rate, which is mathematically good. But the maximal drawdown of -12.8% is quite high for such a short timeframe, and with 8.2 trades per day the strategy seems bit overactive, which could lead to high transaction costs in real trading.
The most concerning part is the -7.1% performance in last month with -59.3% CAGR. This indicates the strategy might be curve fitted to earlier data periods and fails to perform in more recent market conditions. I would recommend to test with different lookback periods and maybe reduce trade frequency to improve quality of signals. Also the strategy seems to work better in ranging markets than trending ones, so you should consider adding trend filters.
Gesamttrades | 155 | Nettogewinn | 0.7% | Buy & Hold Gewinn | -0.2% |
Gewinnrate | 35% | Risiko/Rendite-VerhΓ€ltnis | 1.91 | Maximaler Drawdown | -12.8% |
Asset Maximaler Drawdown | -19.2% | Exposition | 25.6% | Durchschn. Kerzen in Position | 15.5 |
Sharpe-Ratio | Sortino-Ratio | Realisierte VolatilitΓ€t | β | ||
Max. Gewinnserie | 4 | Durchschn. Gewinnserie | 1.6 | Max. Verlustserie | 8 |
Durchschn. Verlustserie | 2.8 | Durchschn. Trades pro Monat | 244.7 | Durchschn. Trades pro Tag | 8.2 |
Rendite Std Dev | 1.0 | Verlust Std Dev | 0.6 | Gewinn Std Dev | 1.3 |
Erwartungswert | 0.0 | Beta | 0.28 |
common.strategy | Exposition | Leistung vs Asset | Drawdown vs Asset | Gewinnrate | Risiko/Rendite |
---|---|---|---|---|---|
BTCUSDT β’ 1 Minute | 26% | (0.4%/-0.5%) -0.80x | (-2.3%/-4.5%) 0.51x | 46 | 1.3 |
EURUSD β’ 1 Minute | 22% | (-0.5%/0.9%) -0.56x | (-0.6%/-0.7%) 0.86x | 22 | 2.8 |
GLD β’ 1 Minute | 32% | (0.6%/-1.4%) -0.43x | (-1.9%/-4.1%) 0.46x | 38 | 1.8 |
NVDA β’ 1 Minute | 25% | (7.8%/20.4%) 0.38x | (-3.7%/-5.3%) 0.70x | 34 | 3.0 |
PLTR β’ 1 Minute | 28% | (1.3%/15.0%) 0.09x | (-5.4%/-12.9%) 0.42x | 36 | 1.9 |
SPY β’ 1 Minute | 32% | (1.6%/6.6%) 0.24x | (-1.1%/-1.5%) 0.73x | 35 | 2.4 |
TSLA β’ 1 Minute | 26% | (0.7%/-0.2%) -3.50x | (-12.8%/-19.2%) 0.67x | 35 | 1.9 |
WMT β’ 1 Minute | 31% | (-0.5%/3.3%) -0.15x | (-3.2%/-5.1%) 0.63x | 32 | 2.0 |
BTCUSDT β’ 10 Minutes | 33% | (10.5%/14.3%) 0.73x | (-4.9%/-12.1%) 0.40x | 36 | 2.4 |
EURUSD β’ 10 Minutes | 23% | (1.1%/1.8%) 0.61x | (-1.2%/-4.3%) 0.28x | 39 | 1.8 |
GLD β’ 10 Minutes | 38% | (9.4%/35.8%) 0.26x | (-5.4%/-8.3%) 0.65x | 37 | 2.2 |
NVDA β’ 10 Minutes | 30% | (19.8%/37.4%) 0.53x | (-28.5%/-42.8%) 0.67x | 46 | 1.4 |
PLTR β’ 10 Minutes | 31% | (43.5%/467.7%) 0.09x | (-32.3%/-46.5%) 0.69x | 40 | 1.9 |
SPY β’ 10 Minutes | 33% | (5.1%/13.1%) 0.39x | (-9.7%/-20.7%) 0.47x | 39 | 1.8 |
TSLA β’ 10 Minutes | 28% | (30.7%/25.4%) 1.21x | (-21.4%/-55.3%) 0.39x | 40 | 1.9 |
WMT β’ 10 Minutes | 32% | (23.2%/39.5%) 0.59x | (-5.3%/-23.8%) 0.22x | 41 | 2.1 |
BTCUSDT β’ 1 Hour | 34% | (0.5%/70.3%) 0.01x | (-18.7%/-30.6%) 0.61x | 34 | 2.0 |
EURUSD β’ 1 Hour | 30% | (1.6%/7.1%) 0.23x | (-6.8%/-9.0%) 0.76x | 34 | 2.1 |
GLD β’ 1 Hour | 38% | (39.3%/122.5%) 0.32x | (-19.5%/-22.2%) 0.88x | 39 | 2.2 |
NVDA β’ 1 Hour | 44% | (555.6%/3243.4%) 0.17x | (-52.5%/-68.0%) 0.77x | 46 | 2.1 |
PLTR β’ 1 Hour | 38% | (449.7%/1466.7%) 0.31x | (-56.3%/-86.6%) 0.65x | 43 | 2.4 |
SPY β’ 1 Hour | 36% | (28.0%/107.0%) 0.26x | (-17.4%/-35.1%) 0.50x | 40 | 2.0 |
TSLA β’ 1 Hour | 39% | (1353.0%/1305.7%) 1.04x | (-40.8%/-75.1%) 0.54x | 39 | 3.1 |
WMT β’ 1 Hour | 33% | (60.9%/145.2%) 0.42x | (-15.7%/-26.9%) 0.58x | 39 | 2.4 |
BTCUSDT β’ Daily | 35% | (549.0%/1346.8%) 0.41x | (-54.7%/-76.6%) 0.71x | 47 | 3.3 |
GLD β’ Daily | 32% | (83.3%/592.8%) 0.14x | (-21.7%/-45.3%) 0.48x | 48 | 1.8 |
NVDA β’ Daily | 32% | (6469.1%/396269.9%) 0.02x | (-55.8%/-90.0%) 0.62x | 50 | 2.7 |
SPY β’ Daily | 22% | (90.1%/1344.4%) 0.07x | (-15.9%/-56.7%) 0.28x | 49 | 2.3 |
TSLA β’ Daily | 30% | (2791.1%/24273.6%) 0.11x | (-42.7%/-75.0%) 0.57x | 42 | 4.8 |
WMT β’ Daily | 30% | (30.4%/10116.3%) 0.00x | (-67.6%/-50.6%) 1.34x | 39 | 1.8 |