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San Francisco Historical Replay: 2018-03 to 2020-08

PropertyCity IndexUSPolicy2018-03 to 2020-08Difficulty 2/5FreeView charts

Replay San Francisco monthly property bars from 2018-03 to 2020-08, a 7.2% net climb across 30 monthly closes. You walk through each bar, face 6 decision points (2 critical), and receive AI coach review after every move — simulated capital, purely educational.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2018-03 to 2020-08 · Property

Key facts

Peak-to-trough drawdown of 4.5% with a 8.7% run-up.

Max drawdown
−4.5%
Max run-up
+8.7%
Largest single-month move
+2.1%
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

The replay immerses you in San Francisco's monthly property market from 2018-03 to 2020-08, a 30-bar journey across the late 2010s and into the early 2020s. This was a period when Bay Area real estate hung between post-boom valuations and evolving monetary policy, with 6 embedded decision points—2 critical—designed to test your ability to read shifting dynamics. Players must establish their thesis early, then defend it through monthly bars that offer no dramatic windfalls but demand disciplined navigation.

The market closed at 261.55 and ultimately reached 280.4, a net climb of 7.2% across the full span. Yet this aggregate tells only part of the story: the maximum drawdown of 4.5% and largest single-bar move of 2.1% reveal an environment of grinding progress punctuated by temporary reversals. Participants who expected straight-line appreciation would have been frustrated; those who positioned for gradual appreciation with risk buffers could weather the pullbacks.

This scenario trains you to manage capital in slow-grinding, policy-sensitive markets where patience is the primary edge. The two critical decision points demand that you distinguish between noise and genuine inflection, while the drawdown figure reminds you that even modest losses can erode confidence. The key takeaway: in sideways-to-positive environments, process discipline and psychological resilience outlast momentum chasing.