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USD/THB Historical Replay: 2022-01 to 2022-05

ForexEmerging MarketsRUWar2022-01 to 2022-05Difficulty 1/5FreeView charts

USD/THB edged 3.2% higher from 33.284 to 34.361 between January and May 2022, as emerging-market currencies absorbed war-driven volatility across 72 trading days. Replay this EMFX stretch day-by-day, navigate 13 decision points, and receive an AI coach review under simulated capital only.

72K lines
13Decision points
1Difficulty
DailyGranularity

72 daily bars · 13 decision points · 2022-01 to 2022-05 · Forex

Key facts

This window spans 100 days with a peak-to-trough drawdown of 3.9% and a 7.3% run-up.

Max drawdown
−3.9%
Max run-up
+7.3%
Duration
100 days
Largest single-day move
+0.9%
Bars
72 Daily bars
Decision points
13

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 scene is USD/THB, an emerging-market currency pair navigating one of the most volatile geopolitical stretches of the early 2020s. From January 28 to May 8, 2022, traders faced a 72-day replay window that coincided with the outbreak of the Russia-Ukraine conflict. Thirteen decision points—five flagged as critical—were embedded across this span, testing participants' ability to read shifting EMFX sentiment as safe-haven flows rippled through developing-nation currencies.

The closing level moved from 33.284 to 34.361, a modest 3.2% move that masks a more textured intraperiod reality. The maximum drawdown reached 3.9%, while the largest single-bar swing hit 0.9%. This was not a dramatic directional event but rather a gradual grind higher punctuated by pockets of volatility—exactly the kind of environment where overconfidence in a directional bias can erode capital before a thesis has time to play out.

For decision training, the scenario strips away the comfort of clean narratives. Geopolitical shocks rarely produce textbook spikes; they create sustained directional pressure with intermittent noise. The key takeaways are threefold: disciplined position sizing to weather a 3.9% drawdown without panic, systematic processing of ambiguous signals across thirteen distinct choice points, and psychological resilience to avoid forcing action when the market itself offers no compelling catalyst. Success here is measured not by predicting the endpoint but by navigating the journey with consistent process discipline.