The best indicator for Uber (UBER)
We backtested 382 indicators across daily, weekly and hourly charts on real Uber (UBER) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where Uber (UBER) 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.
Order-Flow Reversion
On the daily chart, this is the strongest risk-adjusted edge we found for Uber (UBER) over ~7.4 years — beating buy-and-hold by 14.4% CAGR.
Uber (UBER) 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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Best multi-indicator combo
Going long only when all 2 agree was the strongest confluence setup we found for Uber (UBER) — beating buy-and-hold by 9.0% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.
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 | 21.6% | 0.85 | -27.0% | 72.7% | 33 | 14.4% |
| 2 | Connors RSI ✓ | Weekly | 15.3% | 0.67 | -19.7% | 59.1% | 22 | 8.3% |
| 3 | Detrended Price Osc. ✓ | Weekly | 16.1% | 0.66 | -35.5% | 51.2% | 41 | 9.1% |
| 4 | Percentage Price Osc. | Daily | 16.1% | 0.64 | -33.4% | 43.8% | 64 | 8.9% |
| 5 | PPO Cross | Daily | 16.1% | 0.64 | -33.4% | 43.8% | 64 | 8.9% |
| 6 | Hammer | Daily | 10.5% | 0.64 | -33.9% | 62.8% | 43 | 3.3% |
| 7 | Stochastic Fast (5,3) ✓ | Daily | 15.8% | 0.6 | -44.0% | 44.7% | 246 | 8.6% |
| 8 | MACD | Daily | 14.6% | 0.59 | -36.3% | 40.6% | 64 | 7.5% |
| 9 | Chaikin Volatility ✓ | Daily | 10.7% | 0.56 | -36.8% | 52.4% | 103 | 3.5% |
| 10 | Lorentzian Classification ✓ | Weekly | 13.4% | 0.56 | -41.6% | 44.2% | 52 | 6.4% |
| 11 | Keltner Mean-Reversion ✓ | Daily | 12.0% | 0.54 | -57.1% | 83.3% | 24 | 4.8% |
| 12 | Pring's Special K | Daily | 9.8% | 0.54 | -42.7% | 37.3% | 51 | 2.6% |
| 13 | Keltner 50 (x2.0) | Daily | 8.7% | 0.54 | -24.6% | 46.8% | 47 | 1.5% |
| 14 | Zero-Lag EMA Cross ✓ | Daily | 12.4% | 0.53 | -44.6% | 42.4% | 85 | 5.2% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Uber (UBER)
53 of 379 tested setups beat buy-and-hold on Uber (UBER) outright. Another 4 could get there with leverage they would survive — but 2 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Camarilla Pivots | 2 | none needed | 4.27× |
| Markov Regime | 2 | none needed | 4.39× |
| Markov Regime (Confirmed) | 2 | none needed | 5.24× |
| Pivot Points (Standard) | 1 | 5.0× | 4.68× |
| Bollinger Mean-Reversion | 1 | none needed | 7.3× |
| Stochastic | 1 | none needed | 5.15× |
Out-of-sample, costs included. A setup is only listed if the leverage it needs is less than the leverage its own worst drawdown survives — when it isn't, no amount of leverage gets there. Volatility drag isn't modelled, so these are the optimistic case. Every indicator, ranked this way
For Uber (UBER), Order-Flow Reversion 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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