ADX Uptrend Replay (2016-05-13 to 2016-06-01)
Step into the 2016 ADX uptrend replay and navigate a 4.0% drawdown across 30 daily bars of authentic market history. You make every decision point yourself, then receive an AI coach review of your simulated trading choices.
30 daily bars · 7 decision points · 2016-05 to 2016-06 · Stocks
Key facts
This window spans 42 days with a peak-to-trough drawdown of 4.0% and a 7.2% run-up.
- Max drawdown
- −4.0%
- Max run-up
- +7.2%
- Duration
- 42 days
- Largest single-day move
- +2.6%
- Bars
- 30 Daily bars
- Decision points
- 7
Every figure above is computed programmatically from this replay’s own candle series — no editorial input, no LLM. Methodology: Methodology
The market advances day by day. You only see candles up to the current day — as if you were really there.
At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.
After settlement you get a six-dimension score and an AI coach review. Your result enters the scenario leaderboard.
Related scenarios
- ADX Uptrend Replay (2015-03-26 to 2015-06-01)2015 · Lv.3
- ADX Uptrend Replay (2017-05-02 to 2017-05-31)2017 · Lv.3
- ADX Uptrend Replay (2018-04-30 to 2018-06-06)2018 · Lv.2
- ADX Uptrend Replay (2015-09-28 to 2015-10-23)2015 · Lv.3
- ADX Uptrend Replay (2015-09-01 to 2015-09-16)2015 · Lv.4
- ADX Uptrend Replay (2018-02-08 to 2018-03-12)2018 · Lv.2
Event Replay
What happened — and what it teaches
The Abu Dhabi Exchange in May 2016 presented traders with a classic uptrend replay scenario, set against the backdrop of a market searching for direction in the early summer months of the 2010s. Over 30 daily bars spanning from early May through mid-June, participants faced a market that ultimately delivered a slight decline of -0.2% in closing value. This period offered a controlled environment for examining how uptrends are actually traded, with seven decision points embedded throughout—including three marked as critical—forcing participants to confront the tension between trend direction and actual price outcome.
The market moved from a close of 57.01 to 56.87 across the dataset, a modest net loss that obscures the real action: a maximum drawdown of 4.0% tested participants' conviction, while the largest single-bar move of 2.6% demonstrated how quickly sentiment can shift within an apparently trending market. An investor who assumed the "rally" label meant easy gains would have encountered a far messier reality—a market that rose and fell repeatedly, demanding continuous reassessment rather than passive holding. The discrepancy between the period label and actual performance creates exactly the kind of cognitive challenge this replay aims to surface.
This scenario excels as a decision-training exercise precisely because it refuses to conform to textbook expectations. Participants must practice separating the process of trend identification from the outcome of trend following, managing risk through the 4.0% drawdown without abandoning sound methodology. The psychological discipline required—holding positions through adverse moves while remaining open to reversal signals—mirrors real market pressures. By experiencing this authentic slice of ADX history without financial consequences, traders can build the calibrated instincts needed when similar patterns emerge in live markets.