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USD/LKR Historical Replay: 2015-11 to 2016-04

ForexEmerging MarketsUSPolicy2015-11 to 2016-04Difficulty 1/5FreeView charts

Replay the USD/LKR climb from 138.34 to 142.04 between November 2015 and April 2016, navigating 19 decision points as the Federal Reserve raised rates. Step through each daily bar, make policy-aware currency calls, and receive AI coach feedback on your simulated historical decisions.

108K lines
19Decision points
1Difficulty
DailyGranularity

108 daily bars · 19 decision points · 2015-11 to 2016-04 · Forex

Key facts

This window spans 150 days with a peak-to-trough drawdown of 3.5% and a 8.0% run-up.

Max drawdown
−3.5%
Max run-up
+8.0%
Duration
150 days
Largest single-day move
+3.7%
Bars
108 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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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 Federal Reserve's first rate hike cycle in years created significant uncertainty. Emerging market currencies like the Sri Lankan rupee faced pressure as capital flows shifted. Traders had to weigh the impact of U.S. monetary policy tightening on developing economies, particularly those with external vulnerabilities.

The USD/LKR rate moved from 138.34 to 142.04 over 108 trading days, representing a modest 2.7% gain for dollar holders. However, this seemingly small move concealed substantial intraday turbulence, with the largest single-day swing reaching 3.7%. Participants navigated through 19 decision points, with 7 marked as critical, demanding constant recalibration of positions and risk exposure. The maximum drawdown of 3.5% tested traders' ability to maintain conviction during temporary setbacks.

This replay trains participants to balance policy awareness with disciplined risk management. The scenario demonstrates how macro themes do not translate into straight-line moves, requiring participants to manage drawdowns without abandoning their analytical framework. Navigating the gap between directional conviction and position sizing discipline sharpens decision-making for high-stakes policy-driven environments.