The best indicator for GitLab
We backtested 382 indicators across daily, weekly and hourly charts on real GitLab history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Where GitLab stands
Computed from our own daily OHLCV history, not quoted from a third party. Moving averages use closing prices; "52-week" is the last 252 trading sessions.
Bullish Harami
On the daily chart, this is the strongest risk-adjusted edge we found for GitLab over ~4.7 years — beating buy-and-hold by 30.1% CAGR.
GitLab on the daily chart
The timeframe our backtest found best for this asset. The chart is live market data; the results above are hypothetical and historical.
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The winner on each chart
Every indicator, ranked
Ranked by Sharpe (risk-adjusted return). Hypothetical, fees included.
| # | Indicator | TF | CAGR | Sharpe | Max DD | Win | Trades | vs B&H |
|---|---|---|---|---|---|---|---|---|
| 1 | Order-Flow Reversion | Daily | 27.4% | 0.82 | -35.5% | 65.0% | 20 | 52.1% |
| 2 | Bollinger Mean-Reversion | Daily | 19.9% | 0.65 | -48.5% | 71.4% | 21 | 44.7% |
| 3 | Fibonacci Bands | Daily | 19.9% | 0.65 | -48.5% | 71.4% | 21 | 44.7% |
| 4 | Intraday Momentum Index | Daily | 16.7% | 0.55 | -61.3% | 62.5% | 16 | 41.5% |
| 5 | VWAP Bands | Daily | 13.6% | 0.54 | -37.3% | 63.2% | 19 | 38.3% |
| 6 | Keltner Mean-Reversion | Daily | 12.4% | 0.5 | -41.9% | 62.5% | 16 | 37.2% |
| 7 | Connors RSI-2 | Weekly | 17.0% | 0.52 | -60.3% | 64.3% | 14 | 43.1% |
| 8 | Murrey Math Lines | Daily | 10.2% | 0.44 | -57.9% | 73.3% | 15 | 34.9% |
| 9 | Stochastic Momentum Index | Daily | 7.4% | 0.38 | -55.6% | 60.0% | 25 | 32.1% |
| 10 | DeMarker | Daily | 6.5% | 0.37 | -55.3% | 60.0% | 20 | 31.2% |
| 11 | MA Envelope | Weekly | 6.4% | 0.38 | -57.9% | 50.0% | 14 | 32.5% |
| 12 | Stochastic | Daily | 3.1% | 0.33 | -53.2% | 56.0% | 25 | 27.9% |
| 13 | MA Envelope | Daily | 2.7% | 0.33 | -64.1% | 69.6% | 56 | 27.5% |
| 14 | Bullish Harami ✓ | Daily | 5.4% | 0.32 | -31.3% | 46.2% | 52 | 30.1% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
The question doesn't apply here. Buy-and-hold on GitLab lost money across the out-of-sample window in 259 of 259 tests, so there is no positive benchmark to lever toward — clearing a negative bar is a much weaker claim than beating a real one, and we keep the two apart rather than counting it as a win. How we compute that
For GitLab, Bullish Harami on the daily timeframe gave the best balance of return and risk in our test. It beat buy-and-hold — but remember: this is a hypothetical backtest of a standard rule, not a recommendation. Markets change. See the methodology and disclaimer.
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