USD/LKR Historical Replay: 2014-08 to 2015-01
Replay 106 daily bars of USD/LKR from 2014-08-25 to 2015-01-20, when a 2.3% single-bar surge reshaped the pair's path. Decide step by step through 19 decision points, including 7 critical ones, and receive an AI coach review of your simulated choices.
106 daily bars · 19 decision points · 2014-08 to 2015-01 · Forex
Key facts
This window spans 148 days with a peak-to-trough drawdown of 2.2% and a 3.5% run-up.
- Max drawdown
- −2.2%
- Max run-up
- +3.5%
- Duration
- 148 days
- Largest single-day move
- +2.3%
- Bars
- 106 Daily bars
- Decision points
- 19
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 scenario replays 106 daily bars of USD/LKR from late August 2014 through mid-January 2015, a period when emerging-market currencies faced cross-currents from diverging monetary policies. The Sri Lankan rupee was navigating post-ceasefire economic rebuilding while contending with shifting global capital flows. Participants face the challenge of managing directional exposure through 19 decision points, with 7 designated as critical junctures where positioning choices carry heightened consequence.
The data shows the pair closing at 131.69 after opening at 130.03, representing a modest 1.3% net appreciation over the replay window. However, this headline figure obscures genuine turbulence: a maximum drawdown of 2.2% tested positions, while a single trading day delivered a 2.3% move that could have reshaped any leveraged stance. The gap between the benign net change and the turbulent intraperiod volatility defines the scenario's core tension.
This replay trains decision-makers to distinguish between aggregate performance and path-dependent outcomes. The concentration of critical nodes across the replay demands that participants develop systematic criteria for distinguishing signal from noise. Psychologically, the scenario pressures learners to resist confirmation bias when a modest overall result masks significant intraperiod disruptions. The lesson crystallizes: in volatile emerging-market conditions, process discipline and risk-adjusted thinking matter more than directional accuracy.
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