Hungary National (BIS) Historical Replay: 2006-10 to 2014-01
Replay 30 monthly bars of Hungarian property markets from 2006-10 to 2014-01, navigating an 8.7% decline and 17.8% max drawdown. Step through each crisis-era decision point, defend your choices, and receive an AI coach review in this simulated training environment.
30 monthly bars · 6 decision points · 2006-10 to 2014-01 · Property
Key facts
Peak-to-trough drawdown of 17.8% with a 9.0% run-up.
- Max drawdown
- −17.8%
- Max run-up
- +9.0%
- Largest single-month move
- +4.0%
- 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 Hungarian property market replay transports participants to one of Central Europe's most challenging economic periods. From October 2006 through January 2014, 30 monthly bars trace a market navigating the aftermath of global financial turmoil and the European sovereign debt crisis. With 6 decision points embedded—2 deemed critical—participants must act without full knowledge of how events would unfold. The stakes are clear: preserving capital during a 17.8% maximum drawdown while learning to distinguish signal from noise in an environment of sustained volatility.
The period delivered a -8.7% overall decline, closing at 91.49 from an opening of 100.19. Yet this headline figure obscures the true market stress: a 17.8% peak-to-trough drawdown that tested even disciplined investors. The largest single monthly move of 4.0% demonstrates how quickly sentiment could shift, punishing those caught without a clear framework. Each bar represents a decision moment where position sizing, conviction, and risk management intersected.
This scenario excels as decision-training because it forces participants to confront three recurring challenges: the temptation to act during drawdowns, the difficulty of holding a reasoned thesis through volatility spikes, and the psychological weight of watching capital erode. By replaying this stretch, trainees build experience with crisis-era judgment calls—without real-world consequences. The lesson is not about predicting Hungarian property's next move, but about refining the process that would govern any similar environment.