USD/CNY Historical Replay: 2013-11 to 2014-04
Replay 106 daily bars of USD/CNY from November 2013, when the pair climbed from 6.0806 to 6.2023 as policy news reshaped the tape. Step through each session, weigh in at 19 decision points, and receive an AI coach review of your reasoning in this simulated training exercise.
106 daily bars · 19 decision points · 2013-11 to 2014-04 · Forex
Key facts
This window spans 146 days with a peak-to-trough drawdown of 0.9% and a 3.1% run-up.
- Max drawdown
- −0.9%
- Max run-up
- +3.1%
- Duration
- 146 days
- Largest single-day move
- −0.5%
- 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
In late 2013, USD/CNY entered a pivotal phase as the Federal Reserve signaled a shift in its monetary stance, creating uncertainty across global currency markets. The replay covers 106 daily bars spanning November 11, 2013 to April 6, 2014, placing traders in the 2010s era where policy divergence between the world's two largest economies was reshaping forex dynamics. Participants must navigate this stretch without knowing the future path, weighing macroeconomic signals against intraday volatility.
Over the period, the pair climbed from 6.0806 to 6.2023, recording a 2.0% gain. The journey was not smooth: a maximum drawdown of 0.9% tested conviction, while the largest single-day swing reached 0.5%. This modest apparent move conceals a demanding training ground, where 19 decision points—7 deemed critical—punctuated the tape, demanding disciplined entry and exit reasoning under evolving policy expectations.
The scenario sharpens process awareness: participants must articulate why they act rather than rely on outcome. The limited volatility reinforces that risk management applies even in gradual trends, and the frequency of critical junctures exposes psychological pressure points—doubting a position after a pullback, or overextending after a win. Reviewing AI-generated feedback after each choice transforms hindsight into pattern recognition, building durable decision habits for real market conditions.