USD/RSD Historical Replay: 2018-11 to 2019-05
Replay 130 daily bars of USD/RSD from 2018-11-15 to 2019-05-14, navigating a narrow 0.8% close-to-close drift and a 2.2% drawdown. Make policy-era decisions across 23 checkpoints with AI coach review on simulated capital.
130 daily bars · 23 decision points · 2018-11 to 2019-05 · Forex
Key facts
This window spans 180 days with a peak-to-trough drawdown of 2.2% and a 3.3% run-up.
- Max drawdown
- −2.2%
- Max run-up
- +3.3%
- Duration
- 180 days
- Largest single-day move
- +1.1%
- Bars
- 130 Daily bars
- Decision points
- 23
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/RSD pair represents one of emerging market forex's quieter battlegrounds. Between November 15, 2018 and May 14, 2019, 130 daily bars chart a currency that barely stirred—closing the period just 0.8% higher at 104.81 from 103.96. This six-month stretch coincided with the Federal Reserve's pivot away from its 2018 tightening bias, creating a nuanced policy backdrop for traders navigating an emerging European currency. With 23 decision points—8 deemed critical—participants faced a scenario designed to test discipline in the absence of dramatic price action.
The numbers tell a story of compression: a 2.2% maximum drawdown and the largest single-bar move of only 1.1% define the volatility envelope. For an emerging market pair, this represents unusually muted behavior, yet the drawdown figure reveals that losses arrived swiftly despite the narrow overall drift. The challenge lay not in capturing trending moves but in avoiding whipsaws that carved into capital during quiet spells—a common pitfall when volatility contracts before policy-driven breakouts.
This replay trains traders to manage risk in low-volatility EM environments where position sizing becomes existential. The 8 critical decision points force participants to distinguish between patience and inertia: holding through compression versus exiting before mean reversion locks in losses. Psychological resilience matters as much as technical skill when every trade feels like squeezing blood from stone. The scenario ultimately teaches that surviving range-bound periods with capital intact positions traders to capture the volatility expansions that policy pivots inevitably deliver.
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