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ATX Downtrend Replay (2008-07-23 to 2008-08-19)

StocksATXATCorrection2008-07 to 2008-09Difficulty 2/5FreeView charts

Replay a 2008 Austrian ATX correction across 38 daily bars with a 10.7% peak drawdown. You step through each trading day, face 7 decision points, and receive an AI coach review, all in simulated capital.

38K lines
7Decision points
2Difficulty
DailyGranularity

38 daily bars · 7 decision points · 2008-07 to 2008-09 · Stocks

Key facts

This window spans 54 days with a peak-to-trough drawdown of 10.7% and a 9.9% run-up.

Max drawdown
−10.7%
Max run-up
+9.9%
Duration
54 days
Largest single-day move
−4.5%
Bars
38 Daily bars
Decision points
7

Every figure above is computed programmatically from this replay’s own candle series — no editorial input, no LLM. Methodology: Methodology

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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

In the summer of 2008, the Austrian ATX index faced a pivotal correction period as global financial markets began showing cracks beneath the surface. This 38-bar daily replay spans from July 9 to September 1, 2008, placing you in a market environment where uncertainty was escalating. What made this period significant was not just the directional move, but the sequence of decisions required as conditions shifted day by day. The stakes involved understanding how institutional and retail participants alike were forced to reassess risk exposure during an emerging crisis.

The ATX declined from 3793.28 to 3574.29, representing a 5.8% overall contraction. However, the journey proved more volatile than the net figure suggests, with peak drawdown reaching 10.7%. The largest single-bar move of 4.5% occurred during this stretch, reminding participants that corrections rarely proceed in orderly increments. Seven decision points were embedded throughout the replay, with three designated as critical junctures where positioning choices carried heightened consequence.

This scenario excels as a decision-training exercise precisely because the numbers tell only part of the story. Participants must navigate process discipline when facing consecutive losing days, manage risk allocation during increasing volatility, and control emotional responses to drawdown accumulation. The three critical decision points force students to commit to positions under uncertainty rather than deferring indefinitely. Psychological resilience, not just technical analysis, determines performance in environments where the edge lies in disciplined execution rather than directional certainty.