Merval Uptrend Replay (2016-08-02 to 2016-09-08)
Replay a 7.9% climb across 54 bars as the Argentine Merval trended higher from 2016-07-13 to 2016-09-27. Step through each day, weigh critical decision points, and receive an AI coach review in a simulated, educational setting.
54 daily bars · 10 decision points · 2016-07 to 2016-09 · Stocks
Key facts
This window spans 76 days with a peak-to-trough drawdown of 5.9% and a 10.5% run-up.
- Max drawdown
- −5.9%
- Max run-up
- +10.5%
- Duration
- 76 days
- Largest single-day move
- −3.3%
- Bars
- 54 Daily bars
- Decision points
- 10
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.
Event Replay
What happened — and what it teaches
During the summer of 2016, the Argentine Merval found itself in a sustained uptrend, navigating a period of renewed optimism in South American equity markets. This replay scenario spans from mid-July through late September, encompassing 54 daily bars of authentic price action. For traders and analysts in training, this environment presented the classic challenge of capturing directional momentum while managing the inevitable pullbacks that accompany any extended move.
The index climbed from 15,145 to 16,349, delivering a 7.9% gain across the full dataset. However, the journey was far from linear. A maximum drawdown of 5.9% tested conviction during intermediate corrections, while the largest single-bar move of 3.3% highlighted the volatility spikes that can abruptly shift intraday dynamics. Ten decision points are embedded throughout, with four marked as critical junctures where directional bias and position sizing decisions carried heightened consequence.
This scenario excels as a decision-training vehicle because it forces participants to confront the psychological tension between staying aligned with the trend and protecting capital during drawdowns. The 5.9% retracement represents a realistic threshold where many participants abandon positions prematurely. By replaying these bars and confronting each decision point without hindsight knowledge, users sharpen their process discipline, risk calibration, and emotional regulation under uncertainty.