Hang Seng Tech Uptrend Replay (2022-05-24 to 2022-06-08)
Replay 30 daily bars of the Hang Seng Tech from 2022-05-10 to 2022-06-21, capturing a 22.4% rise from 3.84 to 4.7. Step through 7 decision points, including 3 critical ones, and receive an AI coach review of your choices in this simulated market training scenario.
30 daily bars · 7 decision points · 2022-05 to 2022-06 · Stocks
Key facts
This window spans 42 days with a peak-to-trough drawdown of 5.9% and a 24.9% run-up.
- Max drawdown
- −5.9%
- Max run-up
- +24.9%
- Duration
- 42 days
- Largest single-day move
- +6.0%
- Bars
- 30 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
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 Hang Seng Tech Index in the spring of 2022 presented a compelling case study in post-pandemic market recovery. Investors were navigating a landscape marked by shifting monetary policy expectations, regulatory developments, and shifting risk appetites across Asian equity markets. This replay places you inside the 2020s, covering 30 daily bars from May 10 to June 21, 2022, when a sustained technical uptrend offered both opportunity and the inevitable volatility that accompanies any meaningful recovery.
The index climbed from 3.84 to 4.7, delivering a 22.4% return over the full span. Yet the journey was far from linear. Traders faced a maximum drawdown of 5.9% and encountered sharp single-day reversals, with the largest single-bar move reaching 6.0%. Seven decision points punctuated this replay, three of which were critical junctures where directional conviction and risk management separated resilient strategies from reactive ones.
This scenario sharpens the ability to maintain discipline through volatility and conviction during recovery phases. It stresses process over prediction, showing how absorbing a 5.9% drawdown within a larger 22.4% advance is a normal cost of participation. The three critical decisions test whether participants can size positions appropriately and resist emotional responses to sharp swings. Ultimately, the replay demonstrates that navigating a rally requires the same rigor as surviving a selloff.