Hang Seng Tech Downtrend Replay (2023-09-04 to 2023-10-04)
Replay a Hang Seng Tech correction spanning 42 daily bars, where the index slipped 9.5% from 4.1 to 3.71. Walk through each trading day, navigate eight decision points, and receive an AI coach review of your choices in this simulated market-training exercise.
42 daily bars · 8 decision points · 2023-08 to 2023-10 · Stocks
Key facts
This window spans 62 days with a peak-to-trough drawdown of 12.8% and a 9.3% run-up.
- Max drawdown
- −12.8%
- Max run-up
- +9.3%
- Duration
- 62 days
- Largest single-day move
- −4.1%
- Bars
- 42 Daily bars
- Decision points
- 8
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
This scenario replays a correction in the Hang Seng Tech Index during the early autumn of 2023. The dataset spans 42 daily bars from mid-August to mid-October, capturing a period when tech valuations faced renewed scrutiny. Participants enter the replay at a critical juncture: the index hovering near 4.1, with market sentiment shifting from cautious optimism to defensive posturing. The era—the 2020s—had already witnessed significant tech volatility, making this correction a valuable training ground for traders navigating rapid sentiment shifts.
The index declined from 4.1 to 3.71, representing a -9.5% correction. During this 42-bar journey, the maximum drawdown reached 12.8%, testing participants' risk management as positions moved against them. The largest single-bar move of 4.1% demonstrated how quickly sentiment could reverse, creating both panic and opportunity. Eight decision points punctuated this period, with three deemed critical—moments where participants faced binary choices that could significantly alter their portfolio outcomes.
This replay teaches that process discipline trumps prediction accuracy. The -9.5% decline and 12.8% drawdown illustrate the importance of predefined exit rules and position sizing. The three critical decision points force participants to confront the psychological cost of holding versus cutting losses. Ultimately, the scenario reveals that managing fear during drawdowns and resisting overtrading during volatility are skills that only improve through deliberate practice in simulated environments.