USD/PLN Historical Replay: 2022-01 to 2022-05
Replay the USD/PLN market across 72 daily bars from January to May 2022, when the pair climbed 9.1% amid emerging-market war volatility. Step into 13 decision points, five flagged as critical, and receive an AI coach review of your simulated choices.
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 9.3% and a 16.5% run-up.
- Max drawdown
- −9.3%
- Max run-up
- +16.5%
- Duration
- 100 days
- Largest single-day move
- +4.3%
- 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
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 USD/PLN pair tracks the dollar against the Polish zloty, an emerging-market currency particularly sensitive to geopolitical tensions in Eastern Europe. This replay covers 72 daily bars from January 28 to May 8, 2022, a period when the Russia-Ukraine conflict was reshaping risk sentiment across global markets. The scenario challenges participants to navigate an environment where war-driven uncertainty creates sharp and sustained directional moves in cross-border exchange rates.
The closing price climbed from 4.0884 to 4.459, delivering a 9.1% move as the dollar strengthened against the zloty. The market experienced a maximum drawdown of 9.3%, with the largest single-bar move reaching 4.3%, reflecting the abrupt and volatile character of price action during wartime. Thirteen decision points were embedded throughout the replay, five of which were flagged as critical junctures where positioning and risk management decisions carried heightened consequence.
This replay sharpens decision-making under conditions of geopolitical risk, where fundamental valuations can diverge sharply from prevailing price action. Participants encounter the tension between following a directional trend driven by macro forces and protecting capital against sudden reversals that can exceed expectations. The scenario underscores the importance of disciplined position sizing, clear pre-trade contingency planning, and emotional regulation when confronting environments where conventional analytical frameworks face extraordinary stress. Through repeated exposure to these dynamics, learners develop more robust frameworks for evaluating risk-reward tradeoffs during periods of elevated market uncertainty.
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