Hungary National (BIS) Historical Replay: 2007-10 to 2015-01
Replay 30 monthly bars of a Hungarian property downturn that fell 8.2% from October 2007 to January 2015. Walk through authentic crisis-era decisions, face 6 decision points including 2 critical ones, and receive AI coach feedback on each call using simulated capital.
30 monthly bars · 6 decision points · 2007-10 to 2015-01 · Property
Key facts
Peak-to-trough drawdown of 17.8% with a 11.3% run-up.
- Max drawdown
- −17.8%
- Max run-up
- +11.3%
- Largest single-month move
- −3.4%
- 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 into one of Central Europe's most demanding investment eras, spanning October 2007 to January 2015. This 30-bar monthly scenario unfolds across the 2000s and 2010s, covering the global financial crisis aftermath and the European sovereign debt turbulence that hit emerging markets hard. Six decision points, including two critical ones, demand participants navigate price discovery under stress while managing exposure through a structurally weak macro backdrop. The stakes are clear: preserve capital while learning to recognize when market narratives are shifting against you.
The index closed the period at 99.92, down from 108.89, representing an 8.2% decline. This headline figure understates the real pressure: a maximum drawdown of 17.8% tested portfolio durability, while the largest single monthly move of 3.4% occasionally forced split-second judgments. Unlike a straight-line decline, this market oscillated, creating false recovery signals that could trap overconfident participants. The journey from peak to trough was neither smooth nor predictable, which is precisely what makes it valuable for training.
This scenario excels at teaching process discipline over prediction. Participants must confront cognitive biases: the tendency to hold losing positions hoping for recovery, or to exit prematurely during volatility spikes. The two critical decision points specifically challenge whether you have a rules-based framework before the moment of stress arrives. Risk management here means accepting that a 17.8% drawdown is survivable if position sizing and conviction are properly calibrated. The deeper lesson is that in decade-spanning downturns, survival and information gathering matter more than immediate performance.