USD/NGN Historical Replay: 2024-11 to 2025-05
Replay USD/NGN across 128 daily bars from November 2024 to May 2025, absorbing a 12.6% drawdown on the naira. Work through 22 decision points, including 8 critical ones, and receive AI coach feedback on each choice. Simulated capital, educational training only.
128 daily bars · 22 decision points · 2024-11 to 2025-05 · Forex
Key facts
This window spans 181 days with a peak-to-trough drawdown of 12.6% and a 8.5% run-up.
- Max drawdown
- −12.6%
- Max run-up
- +8.5%
- Duration
- 181 days
- Largest single-day move
- −1.8%
- Bars
- 128 Daily bars
- Decision points
- 22
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
USD/NGN represents one of the most volatile pairs in emerging-market forex. From November 2024 to May 2025, the naira faced severe pressure in a period marked by policy uncertainty and external imbalances. This six-month window became a case study in how exchange-rate risk can compound quietly before erupting into sharp drawdowns. The market environment demanded disciplined position management and a clear-eyed view of policy-driven catalysts.
Over 128 daily bars, the USD/NGN rate contracted 4.6%, falling from 1679.46 to 1601.4399. The journey, however, was anything but linear—a maximum drawdown of 12.6% tested holders' conviction, while the largest single-bar move of 1.8% reminded participants that tail-risk events can materialize without warning. Navigating this required absorbing volatility rather than reacting to it.
This replay compresses 22 decision points—including 8 critical junctures—into an interactive training session. Each choice receives AI coach feedback, turning real price action into a laboratory for building process discipline, managing risk under pressure, and recognizing the psychological traps that accompany large drawdowns. The goal is not to predict the next move but to sharpen the decision-making framework that holds up when markets turn hostile.