FTSE 250 Downtrend Replay (2018-01-05 to 2018-03-26)
Replay a 114-day stretch of the FTSE 250 correction that saw an 8.3% max drawdown from late 2017 into early 2018. You step through each daily bar, face 4 critical decision points, and receive an AI coach review of your choices for educational purposes with simulated capital.
114 daily bars · 11 decision points · 2017-11 to 2018-05 · Stocks
Key facts
This window spans 167 days with a peak-to-trough drawdown of 8.3% and a 7.3% run-up.
- Max drawdown
- −8.3%
- Max run-up
- +7.3%
- Duration
- 167 days
- Largest single-day move
- +2.2%
- Bars
- 114 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 FTSE 250 entered a correction phase from late 2017 into early 2018. This 114-day stretch represented a pivotal moment for UK mid-cap investors navigating heightened uncertainty. The scenario tests your ability to manage positions through elevated volatility while maintaining disciplined risk management.
The replay covers November 22, 2017 to May 8, 2018. The index closed at 20,013.9 and finished at 20,594.7, delivering a net return of 2.9%. Yet this headline figure conceals the turbulence within—an 8.3% maximum drawdown tested portfolios, while the largest single-bar move of 2.2% underscored sudden sentiment shifts. Eleven decision points await, four of them critical moments demanding decisive action.
This replay emphasizes process over prediction. The 2010s correction offers a laboratory for examining how drawdowns erode confidence and how anchoring bias can delay necessary adjustments. Participants practice sizing positions, setting stops, and reassessing thesis under pressure—skills transferable across market environments. The AI coach reviews your choices against historical price action, turning each session into a feedback loop for improved decision-making under uncertainty.