USD/RSD Historical Replay: 2014-06 to 2014-09
Replay a 66-day USD/RSD market window from 2014-06-08 to 2014-09-07, when the pair climbed 8.0% from 84.652 to 91.42 against a 1.4% drawdown. Step through each session, tackle 12 decision points with 4 critical, and receive an AI coach review of your simulated choices.
66 daily bars · 12 decision points · 2014-06 to 2014-09 · Forex
Key facts
This window spans 91 days with a peak-to-trough drawdown of 1.4% and a 8.8% run-up.
- Max drawdown
- −1.4%
- Max run-up
- +8.8%
- Duration
- 91 days
- Largest single-day move
- +1.6%
- Bars
- 66 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
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 replay centers on the US dollar against the Serbian dinar during the summer of 2014, a 66-trading-day window spanning June 8 to September 7. Emerging-market currencies often present sharp directional runs punctuated by sudden reversals, and this particular period offered traders a sustained dollar appreciation theme against a relatively illiquid CEE pair. The scenario captures a textbook boom environment where the primary trend remained intact despite intermittent pullbacks.
During these 66 daily bars, the USD/RSD rate advanced 8.0% from 84.652 to 91.42. The journey was not linear: the maximum intraday setback measured just 1.4%, yet individual bars could still produce moves of 1.6%, creating pockets of short-term volatility within the broader advance. Traders faced 12 decision points across the window, four of which were deemed critical junctures where directional bias or position sizing could materially alter outcomes.
For decision training, this scenario emphasizes three core disciplines: trend management in low-liquidity markets, sizing discipline when single-bar spikes can temporarily exceed the prevailing drawdown tolerance, and psychological composure when an apparently straightforward directional move contains embedded trap setups. Navigating the 4 critical nodes without succumbing to either premature exits or reckless oversizing forms the central pedagogical challenge of this historical window.
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