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San Diego Historical Replay: 2020-11 to 2023-04

PropertyCity IndexUSBoom2020-11 to 2023-04Difficulty 4/5FreeView charts

Replay San Diego's property surge from 2020-11 to 2023-04, a 36.1% climb punctuated by an 11.4% drawdown. You step through each monthly bar, face six decision points including two critical ones, and receive AI coach feedback.

30K lines
6Decision points
4Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2020-11 to 2023-04 · Property

Key facts

Peak-to-trough drawdown of 11.4% with a 44.8% run-up.

Max drawdown
−11.4%
Max run-up
+44.8%
Largest single-month move
+4.5%
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

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

San Diego's residential market entered a remarkable phase as the post-pandemic era reshaped American real estate. From late 2020, historically low interest rates and shifting demand patterns triggered intense buying activity across Sun Belt cities. For thirty months ending in April 2023, participants replaying this scenario face the question every investor confronts in booming markets: how to navigate prices climbing steadily while remaining prepared for inevitable reversals.

The monthly close moved from 295.48 to 402.02, delivering a total return of 36.1 percent. Yet the trajectory proved anything but smooth. An 11.4 percent drawdown tested conviction at least once, while individual monthly bars swung as much as 4.5 percent in either direction. Participants encountered six decision points across the replay, with two marked as critical moments where positioning and risk tolerance faced their sharpest examinations.

This replay trains the habit of separating analysis from reaction. Boom periods reward conviction, but the same environments punish those who confuse rising prices with infinite runway. Encountering a drawdown equivalent to 11.4 percent forces honest self-assessment: Is the thesis intact, or is position sizing exposing the portfolio to damage beyond tolerance? The two critical decision points sharpen pattern recognition for moments when external conditions shift faster than sentiment adjusts. Mastery here is not about predicting the next boom, but building the judgment to act with discipline when volatility arrives uninvited.