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USD/UGX Historical Replay: 2023-03 to 2023-06

ForexEmerging MarketsUSCrisis2023-03 to 2023-06Difficulty 1/5FreeView charts

Reprice a stable African currency pair through a 68-day window when the UGX slipped 1.9% against the dollar. Work through 12 decision points across the 2023 banking turmoil, review every move with the AI coach, and learn from simulated historical replay.

68K lines
12Decision points
1Difficulty
DailyGranularity

68 daily bars · 12 decision points · 2023-03 to 2023-06 · Forex

Key facts

This window spans 92 days with a peak-to-trough drawdown of 3.1% and a 1.8% run-up.

Max drawdown
−3.1%
Max run-up
+1.8%
Duration
92 days
Largest single-day move
−0.8%
Bars
68 Daily bars
Decision points
12

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

In the spring of 2023, the foreign exchange market faced a peculiar test when the US dollar softened against the Ugandan shilling, a typically stable East African currency. The 68-day window from March 22 to June 22, 2023 placed traders inside the turbulence created by the collapses of Silicon Valley Bank and Credit Suisse. This was not a crisis of emerging market fundamentals but rather a contagion scare rippling through global confidence, making the USD/UGX pair a useful lens for examining how safe-haven dynamics can briefly reverse.

The closing rate slipped from 3719.269 to 3649.4492, representing a modest -1.9% decline for the dollar against the shilling. The maximum drawdown measured 3.1%, while the largest single trading day moved only 0.8%. These are not dramatic numbers, yet they conceal the psychological weight of navigating 12 decision points, four of which the scenario marks as critical junctures. Each bar demanded a position: hold, adjust, or exit. The historical replay forces a reckoning with how small, quiet moves can still carry opportunity and hazard in equal measure.

This scenario excels as a decision-training vehicle precisely because it refuses to sensationalize. The student learns that volatility is not measured solely in percentage moves but in the quality of judgment under uncertainty. With only 0.8% separating the most volatile day from calm trading, the exercise cultivates discipline in sizing, timing, and emotional regulation. Reviewing each of the 12 decision points with an AI coach reveals where anchoring bias, recency bias, or overconfidence may have clouded the process. The 2020s have already delivered several banking scares; this replay builds the reflexes needed when the next episode arrives.