Atlanta Historical Replay: 1991-01 to 1993-06
Replay Atlanta's property market across 30 monthly bars from 1991-01 to 1993-06, navigating a mild 0.9% drawdown. Walk through six decision points day-by-day and receive an AI coach review in this simulated, educational environment.
30 monthly bars · 6 decision points · 1991-01 to 1993-06 · Property
Key facts
Peak-to-trough drawdown of 0.9% with a 5.6% run-up.
- Max drawdown
- −0.9%
- Max run-up
- +5.6%
- Largest single-month move
- +1.0%
- 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 setting is the Atlanta property market caught in the broader economic downturn of the early 1990s. Between January 1991 and June 1993, students replay thirty monthly bars of data, each decision point offering a chance to test risk management in a market defined by post-recession uncertainty. The scenario's modest 0.9% maximum drawdown creates a controlled environment where participants can explore positioning without the distraction of extreme volatility.
What unfolded across those thirty months was a measured recovery rather than dramatic upheaval. Prices climbed from 69.61 to 72.92, delivering a 4.8% return over the period. The largest single monthly move registered just 1.0%, and the deepest drawdown stayed under 0.9%, reflecting a market that moved deliberately. Six decision points punctuate the replay, two of which the framework designates as critical junctures where choices likely carried heightened consequence.
For decision training, this replay illustrates how calm markets can be equally instructive as volatile ones. Managing small drawdowns and resisting the urge to overtrade in benign conditions builds discipline that transfers to higher-stress environments. Participants must balance the patience required to let positions work against the vigilance needed to exit deteriorating setups, even when the data suggests limited downside.