Does Stochastic oversold bounce actually work on UBER? We tested it
We ran Stochastic oversold bounce on UBER through walk-forward testing and a 100-run random-entry gauntlet. 3 of 4 unseen periods positive. Beat 77 of 100 random-entry runs.
You gave up raw return for a higher win rate and a shallower drawdown. This setup is about timing and staying out of trouble, not beating the index.
Equity curve over May 2019 to Jul 2026. Hover any point for its value. Turn on buy and hold to compare.
The same rules, tested on 28 tickers. Edge held on 6. We ship it on those.
Show every ticker we tested
This strategy made money overall, turning a 112% return on UBER, but the ride was very lumpy. The worst stretch was a painful 24% drawdown that lasted from March to December 2024, which would have tested your patience. Despite that, the win rate was high at 84%, meaning most trades were small winners, but the average gain per trade was only 4.2%. The result is not driven by just a few lucky trades, as the entry timing itself shows a real edge, beating 77% of random entries. The edge was also consistent, showing up in 3 out of 4 test periods, so the performance came from steady execution rather than one hot streak.
Every verdict on this page comes from the same process. How we test.
Sign up free. EdgeStacker runs a fresh backtest for you, then alerts you on the Today screen when the setup fires.