Range breakoutlong
Backtest Results @ PLTR β€’ 1 Hour

This strategy enters once price action beraks through the range of the last 20 candles, while accompanied with elevated trading volume. It exits once price closes below an SMA(20). The idea is to follow trends, riding momentum confirmed by volume.

Equity Curve

Backtest covers 4.8 years of PLTR β€’ 1 Hour (Palantir Technologies Inc.) data, from September 30, 2020 to July 25, 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 Range breakout on 4.8 years of PLTR β€’ 1 Hour candles.Β This backtest resulted in 192 positions, with the average win rate of 43% and reward-risk ratio of 2.35.Β If you assume that 2.35 reward-to-risk ratio holds, you need a minimum win rate of 29.9 to be profitable. So you're looking good so far.Β The key metrics are as follows:

  1. Total Return: Total Return: 449.70% vs 1466.70% for the asset
  2. Max Drawdown: Max Drawdown: -56.30% vs -86.60% for the asset
  3. Exposure: Exposure: 37.80% time in the market
  4. Win Rate: Win Rate: 43.0%, vs 29.9% minimum
  5. Reward/Risk Ratio: Reward/Risk Ratio: 2.35

With that exposure in mind, you can tell that for 38% time-in-market, you get 30.66% of the asset upside potential, and 65.01% of the asset downside potential.

Range breakout: enter a position when

All of the following: # Papa
  60min Chart(high) > 60min Range (20, 0), High (1 candles ago)
  All of the following: (within 5 candles)
      60min Relative Volume (20, SMA, 1) > 1.5

Range breakout: exit a position when

All of the following: # Delta
  60min Chart(close) < 60min Range (20, 0), Middle

Range breakout @ PLTR β€’ 1 Hour (449.7%) backtest results explained by Alex C

Alex C

Author

The data shows some interesting patterns, but I have concerns about the strategy's robustness. While the R/R ratio of 2.35 and win rate leeway of 42.7% look mathematicaly solid, the max drawdown of 56.3% is too high for my taste. This indicates high risk exposure that could be problematic in real trading situations.

The market exposure of 37.8% combined with only 0.2 trades per day suggests this is a relatively selective strategy, which is good. However, the 11-trade losing streak is concerning - this could psychologicaly break many traders even if they follow the system perfectly. The low Sharpe ratio of 0.34 also indicates suboptimal risk-adjusted returns, especialy when compared to the buy & hold performance which outperformed the strategy by more than 3x.

From pure mathematical perspective, the strategy shows statistical edge with its 43% win rate against 29.9% minimal required win rate. But I would want to see how sensitive these metrics are to parameter changes - even small adjustments to the 20-period range or 1.5 volume threshold could dramaticaly impact performance. Before considering real money implementation, I would suggest extensive robustness testing across different market regimes.

Tabular metrics of Range breakout backtested on PLTR β€’ 1 Hour

Total Trades192Net Profit449.7%Buy & Hold Profit1466.7%
Win Rate43%Reward/Risk Ratio2.35Max Drawdown-56.3%
Asset Max Drawdown-86.6%Exposure37.8%Avg Candles in Position15.6
Sharpe Ratio0.34Sortino Ratio0.51Realized Volatility37.37%
Max Winning Streak5Avg Winning Streak1.8Max Losing Streak11
Avg Losing Streak2.5Avg Trades per Month6.5Avg Trades per Day0.2
Return Std Dev6.1Loss Std Dev2.0Win Std Dev6.5
Expectancy0.4Beta0.38

All backtests for Range breakout

backtestexposurepeformance vs assetdrawdown vs assetwin%reward/risk
BTCUSDT β€’ 1 Minute
26%(0.4%/-0.5%) -0.80x(-2.3%/-4.5%) 0.51x461.3
EURUSD β€’ 1 Minute
22%(-0.5%/0.9%) -0.56x(-0.6%/-0.7%) 0.86x222.8
GLD β€’ 1 Minute
32%(0.6%/-1.4%) -0.43x(-1.9%/-4.1%) 0.46x381.8
NVDA β€’ 1 Minute
25%(7.8%/20.4%) 0.38x(-3.7%/-5.3%) 0.70x343.0
PLTR β€’ 1 Minute
28%(1.3%/15.0%) 0.09x(-5.4%/-12.9%) 0.42x361.9
SPY β€’ 1 Minute
32%(1.6%/6.6%) 0.24x(-1.1%/-1.5%) 0.73x352.4
TSLA β€’ 1 Minute
26%(0.7%/-0.2%) -3.50x(-12.8%/-19.2%) 0.67x351.9
WMT β€’ 1 Minute
31%(-0.5%/3.3%) -0.15x(-3.2%/-5.1%) 0.63x322.0
BTCUSDT β€’ 10 Minutes
33%(10.5%/14.3%) 0.73x(-4.9%/-12.1%) 0.40x362.4
EURUSD β€’ 10 Minutes
23%(1.1%/1.8%) 0.61x(-1.2%/-4.3%) 0.28x391.8
GLD β€’ 10 Minutes
38%(9.4%/35.8%) 0.26x(-5.4%/-8.3%) 0.65x372.2
NVDA β€’ 10 Minutes
30%(19.8%/37.4%) 0.53x(-28.5%/-42.8%) 0.67x461.4
PLTR β€’ 10 Minutes
31%(43.5%/467.7%) 0.09x(-32.3%/-46.5%) 0.69x401.9
SPY β€’ 10 Minutes
33%(5.1%/13.1%) 0.39x(-9.7%/-20.7%) 0.47x391.8
TSLA β€’ 10 Minutes
28%(30.7%/25.4%) 1.21x(-21.4%/-55.3%) 0.39x401.9
WMT β€’ 10 Minutes
32%(23.2%/39.5%) 0.59x(-5.3%/-23.8%) 0.22x412.1
BTCUSDT β€’ 1 Hour
34%(0.5%/70.3%) 0.01x(-18.7%/-30.6%) 0.61x342.0
EURUSD β€’ 1 Hour
30%(1.6%/7.1%) 0.23x(-6.8%/-9.0%) 0.76x342.1
GLD β€’ 1 Hour
38%(39.3%/122.5%) 0.32x(-19.5%/-22.2%) 0.88x392.2
NVDA β€’ 1 Hour
44%(555.6%/3243.4%) 0.17x(-52.5%/-68.0%) 0.77x462.1
PLTR β€’ 1 Hour
38%(449.7%/1466.7%) 0.31x(-56.3%/-86.6%) 0.65x432.4
SPY β€’ 1 Hour
36%(28.0%/107.0%) 0.26x(-17.4%/-35.1%) 0.50x402.0
TSLA β€’ 1 Hour
39%(1353.0%/1305.7%) 1.04x(-40.8%/-75.1%) 0.54x393.1
WMT β€’ 1 Hour
33%(60.9%/145.2%) 0.42x(-15.7%/-26.9%) 0.58x392.4
BTCUSDT β€’ Daily
35%(549.0%/1346.8%) 0.41x(-54.7%/-76.6%) 0.71x473.3
GLD β€’ Daily
32%(83.3%/592.8%) 0.14x(-21.7%/-45.3%) 0.48x481.8
NVDA β€’ Daily
32%(6469.1%/396269.9%) 0.02x(-55.8%/-90.0%) 0.62x502.7
SPY β€’ Daily
22%(90.1%/1344.4%) 0.07x(-15.9%/-56.7%) 0.28x492.3
TSLA β€’ Daily
30%(2791.1%/24273.6%) 0.11x(-42.7%/-75.0%) 0.57x424.8
WMT β€’ Daily
30%(30.4%/10116.3%) 0.00x(-67.6%/-50.6%) 1.34x391.8