Commodity Shock · Bovespa Index (2015)
Replay the Bovespa's 2015 commodity shock across 144 daily bars, where the index fell 13.3% from 55,535 to 48,150 amid China demand fears. Step through each session, tackle 25 decision points including 9 critical ones, and receive an AI coach review of your simulated choices.
144 daily bars · 25 decision points · 2015-04 to 2015-11 · Stocks
Key facts
This window spans 210 days with a peak-to-trough drawdown of 24.3% and a 12.2% run-up.
- Max drawdown
- −24.3%
- Max run-up
- +12.2%
- Duration
- 210 days
- Largest single-day move
- +4.8%
- Bars
- 144 Daily bars
- Decision points
- 25
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
In April 2015, Brazil's Bovespa Index stood at 55,535 points as one of the world's major emerging markets. The period from April 27 to November 23, 2015 was marked by mounting concerns over China's economic slowdown and its impact on commodity demand—a critical issue for Brazil, a major commodity exporter. Traders faced the challenge of navigating a market where global growth fears collided with domestic pressures.
Over 144 trading days, the index fell to 48,150, a decline of 13.3%. The journey was brutal: a maximum drawdown of 24.3% tested portfolio endurance, while the largest single session saw a 4.8% swing. Nine critical decision points forced traders to choose between holding, cutting, or repositioning amid relentless negative momentum.
This replay sharpens decision-making under sustained stress, where market consensus can diverge sharply from fundamental indicators. Participants learn to manage volatility thresholds, balance conviction against risk management, and control behavioral responses to large drawdowns. The scenario tests how well traders execute strategy when external shocks create prolonged pressure and position sizing becomes a critical determinant of survival.