Regulation · Bovespa Index (2014)
Replay 144 trading days of the 2014 Bovespa Index from March to October, navigating a 14.6% drawdown driven by expanding state-enterprise investigations. Make decisions at 25 checkpoints and receive an AI coach review of your choices in this simulated, educational replay.
144 daily bars · 25 decision points · 2014-03 to 2014-10 · Stocks
Key facts
This window spans 207 days with a peak-to-trough drawdown of 14.6% and a 37.7% run-up.
- Max drawdown
- −14.6%
- Max run-up
- +37.7%
- Duration
- 207 days
- Largest single-day move
- −4.5%
- 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
The Bovespa Index entered a turbulent six-month period from March to October 2014, when investigations into state enterprises widened across Brazil. This regulatory crackdown created an environment of heightened policy uncertainty, testing investors' ability to navigate an opaque and rapidly shifting landscape. With 144 daily bars of historical data, participants face the challenge of making sound decisions amid escalating institutional pressure.
The index ultimately rose 19.8%, closing at 54540 from an opening of 45533, yet this headline figure obscures a 14.6% maximum drawdown and a largest single-bar move of 4.5%. These swings reflect the market's fragile confidence as investigations unfolded, rewarding patience for those who held through volatility while punishing reactive selling. The path was neither linear nor predictable.
This replay presents 25 decision points, of which 9 are critical, demanding both process discipline and psychological resilience. Participants must practice separating signal from noise, managing position sizing during uncertainty, and controlling emotional responses to sudden regulatory headlines. The scenario teaches that survival in volatile policy-driven markets requires adhering to a well-tested framework rather than reacting to each new development.