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, out-of-sample, with costs.
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 ~7.1 years — beating buy-and-hold by 13.8% 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% | 74.2% | 31 | 13.8% |
| 2 | Detrended Price Osc. ✓ | Weekly | 17.5% | 0.7 | -35.5% | 51.3% | 39 | 9.8% |
| 3 | Percentage Price Osc. ✓ | Daily | 17.7% | 0.68 | -33.4% | 44.3% | 61 | 9.9% |
| 4 | PPO Cross ✓ | Daily | 17.7% | 0.68 | -33.4% | 44.3% | 61 | 9.9% |
| 5 | Hammer ✓ | Daily | 11.3% | 0.67 | -33.9% | 63.4% | 41 | 3.5% |
| 6 | Stochastic Fast (5,3) ✓ | Daily | 18.3% | 0.66 | -44.0% | 44.9% | 234 | 10.4% |
| 7 | MACD ✓ | Daily | 16.1% | 0.63 | -36.3% | 41.0% | 61 | 8.3% |
| 8 | Connors RSI ✓ | Weekly | 13.5% | 0.61 | -19.7% | 55.0% | 20 | 5.8% |
| 9 | Chaikin Volatility ✓ | Daily | 11.4% | 0.59 | -36.8% | 52.5% | 99 | 3.6% |
| 10 | Keltner 50 (x2.0) | Daily | 9.8% | 0.59 | -24.6% | 48.9% | 45 | 2.0% |
| 11 | Pring's Special K | Daily | 10.8% | 0.57 | -42.7% | 38.0% | 50 | 3.0% |
| 12 | Zero-Lag MACD | Daily | 14.2% | 0.56 | -38.6% | 47.3% | 148 | 6.4% |
| 13 | Zero-Lag MACD | Daily | 14.2% | 0.56 | -38.6% | 47.3% | 148 | 6.4% |
| 14 | MACD-V | Daily | 12.6% | 0.54 | -37.8% | 34.4% | 64 | 4.8% |
✓ = 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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