BEL 20 Downtrend Replay (1998-07-20 to 1998-09-01)
Replay 62 daily bars of the 1998 BEL 20 as it slid 11.4% from 3387.04 to 3002.24. Walk through each session, navigate 11 decision points, and receive an AI coach review of your timing, all in a simulated, educational environment.
62 daily bars · 11 decision points · 1998-06 to 1998-09 · Stocks
Key facts
This window spans 88 days with a peak-to-trough drawdown of 17.3% and a 7.8% run-up.
- Max drawdown
- −17.3%
- Max run-up
- +7.8%
- Duration
- 88 days
- Largest single-day move
- +4.3%
- Bars
- 62 Daily bars
- Decision points
- 11
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 BEL 20, Belgium's benchmark equity index, entered the summer of 1998 amid an uncertain global backdrop. As the decade progressed, markets faced shifting dynamics that would test investor conviction. This replay simulates 62 daily bars spanning from late June through late September 1998, inviting participants to navigate an 11.4% correction that unfolded across nearly three months of trading. The scenario presents 11 decision points, four of which are flagged as critical, demanding disciplined analysis through a sustained downside move.
During the simulated period, the BEL 20 retreated from 3387.04 to 3002.24, translating to an 11.4% decline. The maximum drawdown reached 17.3%, revealing the depth of intraday and multi-session losses that characterized this correction. The largest single-bar move of 4.3% underscores the volatility spikes that can materialize during trending selloffs, where momentum accelerates beyond initial expectations. Navigating these conditions required participants to distinguish between noise and genuine trend continuation while managing exposure through uncertain terrain.
This replay hones the ability to maintain analytical discipline during extended declines, a skillset that distinguishes seasoned practitioners from reactive ones. The scenario's multi-month duration and series of decision points mirror real-world conditions where conviction must be continuously re-evaluated against evolving price action. For educational purposes, the historical 1990s context provides a lens for understanding how correction phases develop, how volatility clusters, and how emotional management becomes as critical as technical analysis when facing sustained losses in a simulated training environment.
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