Corn Historical Replay: 2016-09 to 2017-03
Corn climbed from 329.25 to 358 over 110 days, enduring a 7.2% drawdown amid policy-driven volatility. Replay each trading day, navigate 19 decision points with critical forks, and receive AI coach feedback in this simulated market-training environment.
110 daily bars · 19 decision points · 2016-09 to 2017-03 · Commodities
Key facts
This window spans 162 days with a peak-to-trough drawdown of 7.2% and a 15.0% run-up.
- Max drawdown
- −7.2%
- Max run-up
- +15.0%
- Duration
- 162 days
- Largest single-day move
- −3.8%
- Bars
- 110 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
Corn futures traded on US exchanges faced a volatile six-month stretch as policy uncertainty reshaped agricultural markets. The period from late September 2016 through March 2017 placed traders at the intersection of seasonal supply dynamics and shifting political winds, with the outcome of the US presidential election introducing new questions about trade and farm support. Participants entering this replay step into a market where every policy signal could amplify already-volatile grain prices.
The closing price advanced from 329.25 to 358, delivering an 8.7% return over 110 daily bars. The path was far from linear: a 7.2% maximum drawdown tested conviction, while the largest single-bar move of 3.8% revealed how quickly sentiment could shift. Navigating 19 decision points—7 of them marked as critical forks—demanded disciplined risk management and clear thinking under pressure.
This replay sharpens the ability to act when fundamentals and policy collide. Traders learn to distinguish between noise and signal, respect drawdown limits even when the trend is favorable, and maintain emotional equilibrium through sudden intraday swings. The session rewards those who follow a repeatable process rather than reacting to each headline, building habits that transfer to any market condition where uncertainty dominates.