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USD/JPY Historical Replay: 2018-11 to 2019-05

ForexG10 MajorsUSPolicy2018-11 to 2019-05Difficulty 1/5FreeView charts

Replay 130 daily bars of USD/JPY from Nov 2018 to May 2019 as the pair slid 3.4% amid a sharp policy pivot. Walk through each session, tackle 8 critical decision points, and receive an AI coach review, simulated capital only.

130K lines
23Decision points
1Difficulty
DailyGranularity

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 5.6% and a 4.4% run-up.

Max drawdown
−5.6%
Max run-up
+4.4%
Duration
180 days
Largest single-day move
−2.0%
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

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 USD/JPY pair entered November 2018 in a complex policy environment as the Federal Reserve Signal a historic pivot from its previous hawkish stance. This 130-bar daily replay spans from 2018-11-15 to 2019-05-14, placing traders inside one of the most consequential monetary policy shifts of the 2010s. The scenario challenges participants to navigate a major G10 currency under pressure from evolving central bank expectations, where the stakes include understanding policy transmission, timing entries, and preserving capital through a sustained directional move.

The pair ultimately closed at 109.671, down from 113.564, a total decline of -3.4%. During the replay, a maximum drawdown of 5.6% tested position management, while the largest single-bar move of 2.0% demanded rapid assessment of news-driven volatility. Participants encountered 23 decision points, of which 8 proved critical—moments where positioning, risk sizing, or exit timing could mean the difference between weathering the storm or suffering outsized losses.

This replay sharpens decision-making under uncertainty, particularly the ability to recognize when a policy pivot creates persistent directional pressure rather than transient noise. Traders learn to balance conviction against drawdown tolerance, avoid overtrading during volatile policy transitions, and manage psychological pressure when a position moves against them. The scenario ultimately trains disciplined risk process over prediction, recognizing that surviving drawdowns and avoiding forced exits is what allows capital to persist until the thesis either confirms or requires reassessment.