USD/MUR Historical Replay: 2024-10 to 2025-01
Replay the USD/MUR market across 64 daily bars from 2024-10-08 to 2025-01-07, navigating an emerging-market FX pair shaped by policy headlines and a 1.7% single-bar move. You make decisions at 11 checkpoints, receive an AI coach review, and learn through simulated capital only.
64 daily bars · 11 decision points · 2024-10 to 2025-01 · Forex
Key facts
This window spans 91 days with a peak-to-trough drawdown of 2.5% and a 3.9% run-up.
- Max drawdown
- −2.5%
- Max run-up
- +3.9%
- Duration
- 91 days
- Largest single-day move
- −1.7%
- Bars
- 64 Daily bars
- Decision points
- 11
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
USD/MUR is an emerging-market currency pair where the Mauritian rupee trades against the US dollar. The replay spans 64 daily bars from 2024-10-08 to 2025-01-07, a period when policy headlines and global risk sentiment create sharp inflection points in thin EM FX markets. What was at stake: navigating a currency vulnerable to external shocks while managing the unique liquidity characteristics of a smaller exotic pair.
Over the 64 daily bars, the market closed at 45.5 from an opening of 44.95, delivering a 1.2% directional move. Beneath that modest net change lay meaningful turbulence: a maximum drawdown of 2.5% tested positions at various stages, and the largest single-bar move of 1.7% could have stopped out inattentive traders or rewarded those with clear contingency plans. Eleven decision points were embedded across the period, with four flagged as critical junctures where the directional bias shifted.
This replay trains decision-making under uncertainty in illiquid markets. Participants practice sizing positions when a single news-driven candle can exceed typical daily ranges, managing the psychological strain of drawdowns without abandoning process, and staying disciplined through clusters of false breakouts. The takeaway is not a prediction but a framework: in policy-sensitive EM FX, the edge lies in preparation, risk calibration, and emotional control rather than directional conviction alone.