USD/SGD Historical Replay: 2018-11 to 2019-05
Replay USD/SGD across 130 daily bars from 2018-11-15 to 2019-05-14 and watch a 2.4% drawdown unfold as the Fed pivots dovish. Step through 23 decision points day-by-day, then receive an AI coach review of your simulated choices.
130 daily bars · 23 decision points · 2018-11 to 2019-05 · Forex
Key facts
This window spans 180 days with a peak-to-trough drawdown of 2.4% and a 1.8% run-up.
- Max drawdown
- −2.4%
- Max run-up
- +1.8%
- Duration
- 180 days
- Largest single-day move
- −0.5%
- Bars
- 130 Daily bars
- Decision points
- 23
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 scene opens on USD/SGD as global currency markets braced for a pivotal shift in Federal Reserve policy. From November 2018 to May 2019, the era of tightening was giving way to a dovish pivot, creating a classic emerging-market volatility scenario. Singapore's dollar, sensitive to both U.S. rate dynamics and regional economic currents, would test the resolve of traders navigating an uncertain macro backdrop. The stakes were clear: positioning ahead of a major central bank reversal, with 23 decision points separating foresight from hindsight.
The numbers tell a story of restrained movement beneath surface calm. Across 130 daily bars spanning 2018-11-15 to 2019-05-14, USD/SGD closed at 1.3788 and drifted to 1.3689, a modest -0.7% decline. Yet this aggregate figure concealed a 2.4% maximum drawdown and a largest single-bar move of 0.5%, revealing pockets of acute stress. Eight of the 23 decision points were flagged as critical, demanding disciplined risk management when volatility surfaced unexpectedly.
This replay sharpens decision training by confronting participants with the psychology of policy transitions. The 2010s episode demonstrates that aggregate returns can mask turbulent interim periods, that max drawdown matters as much as endpoint performance, and that single bars of 0.5% can test conviction. For trainees, the lesson is clear: in markets driven by central bank messaging, process discipline and emotional regulation matter more than directional bets.
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