Parabolic SAR fliplong
Backtest Results @ PLTR β€’ 10 Minutes

Equity Curve

Backtest covers 12.5 months of PLTR β€’ 10 Minutes (Palantir Technologies Inc.) data, from July 22, 2024 to July 31, 2025.

Equity curve is the strategy's performance over time. You should compare it to the asset's Buy & Hold performance. In general, you want the blue area to be well above the gray area.

Drawdown is how much losses (realized or unrealized) the strategy has had if compared to the highest equity peak. Compare this to the asset's drawdown to see whether your strategy does a decent job of isolating you from downside volatility. In general, the red area must be well within the gray area.

Equity Curve
Strategy
Asset
Strategy Drawdown
Asset Drawdown

So, we have backtested Parabolic SAR flip on 12.5 months of PLTR β€’ 10 Minutes candles.Β This backtest resulted in 390 positions, with the average win rate of 47% and reward-risk ratio of 1.53.Β If you assume that 1.53 reward-to-risk ratio holds, you need a minimum win rate of 39.5 to be profitable. So you're looking good so far.Β The key metrics are as follows:

  1. Total Return: Total Return: 121.10% vs 459.20% for the asset
  2. Max Drawdown: Max Drawdown: -45.70% vs -46.50% for the asset
  3. Exposure: Exposure: 59.70% time in the market
  4. Win Rate: Win Rate: 47.0%, vs 39.5% minimum
  5. Reward/Risk Ratio: Reward/Risk Ratio: 1.53

With that exposure in mind, you can tell that for 60% time-in-market, you get 26.37% of the asset upside potential, and 98.28% of the asset downside potential.

Parabolic SAR flip: enter a position when

All of the following: # India
  10min Parabolic SAR (0.02, 0.02, 0.2, 0) < 10min Chart(close)

Parabolic SAR flip: exit a position when

Exits as soon as None of the entry conditions are true any more.

Parabolic SAR flip @ PLTR β€’ 10 Minutes (121.1%) backtest results explained by Alex C, Sarah

Alex C

Author

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.

Sarah

Author

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.

Tabular metrics of Parabolic SAR flip backtested on PLTR β€’ 10 Minutes

Total Trades390Net Profit121.1%Buy & Hold Profit459.2%
Win Rate47%Reward/Risk Ratio1.53Max Drawdown-45.7%
Asset Max Drawdown-46.5%Exposure59.7%Avg Candles in Position14.3
Sharpe Ratio2.40Sortino Ratio2.44Realized Volatility47.26%
Max Winning Streak6Avg Winning Streak1.8Max Losing Streak10
Avg Losing Streak2.0Avg Trades per Month62.6Avg Trades per Day2.1
Return Std Dev2.4Loss Std Dev1.4Win Std Dev2.2
Expectancy0.2Beta0.48

All backtests for Parabolic SAR flip

backtestexposurepeformance vs assetdrawdown vs assetwin%reward/risk
BTCUSDT β€’ 1 Minute
55%(-2.7%/0.5%) -5.40x(-3.4%/-4.4%) 0.77x361.5
EURUSD β€’ 1 Minute
55%(-1.7%/-2.7%) 0.63x(-1.9%/-3.3%) 0.58x371.3
GLD β€’ 1 Minute
56%(-4.4%/-0.9%) 4.89x(-4.9%/-4.8%) 1.02x411.1
NVDA β€’ 1 Minute
56%(11.3%/20.6%) 0.55x(-3.2%/-5.3%) 0.60x402.0
PLTR β€’ 1 Minute
56%(-4.0%/10.4%) -0.38x(-8.6%/-12.9%) 0.67x381.5
SPY β€’ 1 Minute
58%(1.4%/4.0%) 0.35x(-2.0%/-1.5%) 1.33x411.6
TSLA β€’ 1 Minute
55%(-5.0%/-9.9%) 0.51x(-11.0%/-15.9%) 0.69x381.5
WMT β€’ 1 Minute
55%(-0.8%/-0.7%) 1.14x(-2.9%/-5.1%) 0.57x371.6
BTCUSDT β€’ 10 Minutes
57%(3.2%/4.7%) 0.68x(-10.6%/-11.7%) 0.91x391.6
EURUSD β€’ 10 Minutes
56%(-1.3%/0.6%) -2.17x(-2.3%/-3.6%) 0.64x401.4
GLD β€’ 10 Minutes
57%(22.1%/37.4%) 0.59x(-8.4%/-8.3%) 1.01x461.6
NVDA β€’ 10 Minutes
58%(24.3%/45.0%) 0.54x(-28.0%/-42.8%) 0.65x441.4
PLTR β€’ 10 Minutes
60%(121.1%/459.2%) 0.26x(-45.7%/-46.5%) 0.98x471.5
SPY β€’ 10 Minutes
59%(7.9%/14.1%) 0.56x(-16.1%/-20.7%) 0.78x441.4
TSLA β€’ 10 Minutes
56%(86.8%/24.4%) 3.56x(-30.8%/-55.3%) 0.56x431.7
WMT β€’ 10 Minutes
58%(37.0%/38.7%) 0.96x(-12.4%/-23.8%) 0.52x451.7
BTCUSDT β€’ 1 Hour
55%(40.1%/65.5%) 0.61x(-25.5%/-30.6%) 0.83x421.6
EURUSD β€’ 1 Hour
55%(-3.2%/3.5%) -0.91x(-7.5%/-9.0%) 0.83x391.5
GLD β€’ 1 Hour
55%(61.4%/118.5%) 0.52x(-21.7%/-22.2%) 0.98x431.8
NVDA β€’ 1 Hour
58%(1284.1%/3304.6%) 0.39x(-42.2%/-68.0%) 0.62x471.8
PLTR β€’ 1 Hour
55%(538.0%/1459.0%) 0.37x(-77.3%/-86.6%) 0.89x422.0
SPY β€’ 1 Hour
61%(70.4%/104.7%) 0.67x(-14.9%/-35.1%) 0.42x451.6
TSLA β€’ 1 Hour
56%(5558.2%/1240.0%) 4.48x(-40.4%/-75.1%) 0.54x442.4
WMT β€’ 1 Hour
57%(100.4%/142.7%) 0.70x(-18.3%/-26.9%) 0.68x431.8
BTCUSDT β€’ Daily
57%(379.6%/1339.3%) 0.28x(-68.0%/-76.6%) 0.89x432.3
EURUSD β€’ Daily
55%(-1.5%/8.0%) -0.19x(-17.8%/-23.3%) 0.76x371.7
GLD β€’ Daily
57%(301.4%/585.6%) 0.51x(-23.7%/-45.3%) 0.52x461.9
NVDA β€’ Daily
59%(14739.3%/417479.9%) 0.04x(-76.5%/-90.0%) 0.85x462.0
PLTR β€’ Daily
57%(559.1%/1476.3%) 0.38x(-50.4%/-84.9%) 0.59x492.7
SPY β€’ Daily
65%(117.1%/1354.3%) 0.09x(-48.3%/-56.7%) 0.85x471.4
TSLA β€’ Daily
57%(440.9%/25131.3%) 0.02x(-75.3%/-75.0%) 1.00x372.6
WMT β€’ Daily
59%(476.7%/10620.7%) 0.04x(-60.7%/-50.6%) 1.20x451.6