Hungary National (BIS) Historical Replay: 2002-10 to 2010-01
Replay 30 monthly bars of Hungarian property history from 2002-10 to 2010-01, capturing a 37.5% climb and a 9.7% drawdown. You navigate six decision points day by day in this simulated market, then receive an AI coach review of each call.
30 monthly bars · 6 decision points · 2002-10 to 2010-01 · Property
Key facts
Peak-to-trough drawdown of 9.7% with a 48.5% run-up.
- Max drawdown
- −9.7%
- Max run-up
- +48.5%
- Largest single-month move
- +8.3%
- Bars
- 30 Monthly bars
- Decision points
- 6
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 replay places you inside Hungarian residential property from October 2002 through January 2010, a span that captures the country on the cusp of European Union membership and the turbulent years that followed. Thirty monthly bars carry you through six distinct decision points—two of them marked as critical—demanding your response to shifting momentum and macro signals. The backdrop is a market transitioning from pre-accession optimism through global financial upheaval.
The index rose from 73.52 to 101.09, delivering a 37.5% total return over the full period. A 9.7% peak-to-trough drawdown tested patience, while the most violent single month pushed 8.3%. This was not a straight ascent; volatility was embedded throughout, demanding that participants distinguish between temporary fluctuations and genuine trend shifts.
For decision training, this scenario exposes the trap of anchoring to early gains in a volatile long-term uptrend. The drawdown and sharp monthly drops teach that managing downside risk and controlling position sizing are more critical than chasing every upward move. Practicing the discipline to distinguish between noise and signal sharpens the judgment needed to navigate markets through geopolitical transitions.