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Commodity Shock · Straits Times Index (2020)

StocksSTISGPolicy2019-11 to 2020-05Difficulty 4/5FreeView charts

The Straits Times Index plunged 22.3% from 3229.43 to 2510.75 between November 2019 and May 2020, shaking Singapore equities through a commodity-driven volatility storm. Replay each trading day step by step, face 25 decision points with an AI coach review, and sharpen your policy-era risk instincts in a fully simulated, educational environment.

144K lines
25Decision points
4Difficulty
DailyGranularity

144 daily bars · 25 decision points · 2019-11 to 2020-05 · Stocks

Key facts

This window spans 210 days with a peak-to-trough drawdown of 32.0% and a 18.0% run-up.

Max drawdown
−32.0%
Max run-up
+18.0%
Duration
210 days
Largest single-day move
−7.4%
Bars
144 Daily bars
Decision points
25

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 Straits Times Index entered November 2019 as a barometer of Southeast Asian economic health, but the months ahead would test every assumption about regional market resilience. As 2020 unfolded, a perfect storm of commodity shocks and policy uncertainty converged on Singapore equities, transforming routine trading into high-stakes decision-making. This 144-day journey through 25 decision points captures the tension between data and instinct during one of the region's most turbulent periods.

By late May 2020, the index had fallen 22.3% from 3229.43 to 2510.75, with a maximum drawdown of 32.0% testing the resolve of even seasoned investors. The largest single-day swing of 7.4% punctuated weeks of grinding volatility, creating moments where rational analysis competed with emotional pressure. Nine of those twenty-five decisions arrived at critical junctures that separated well-prepared participants from those caught unprepared by the speed of events.

The real educational value lies not in predicting the next crisis but in developing the decision-making framework to respond when uncertainty peaks. This replay trains participants to recognize that commodity-driven volatility follows different rules than ordinary corrections, requiring disciplined position sizing and clear pre-commitment to exit conditions. Working through authentic historical data bars, decision-makers practice calibrating risk tolerance against realistic drawdown scenarios, building the psychological resilience needed when markets move 7.4% in a single session. The goal is not to forecast the future but to sharpen the process that serves you regardless of which direction prices move.