Wheat Historical Replay: 2023-07 to 2023-10
Replay a 64-bar wheat slide from July to October 2023, watching price fall 22.6% from 757.5 to 586. Step through each day, face 11 decision points including 4 critical ones, and receive an AI coach review of your simulated choices.
64 daily bars · 11 decision points · 2023-07 to 2023-10 · Commodities
Key facts
This window spans 88 days with a peak-to-trough drawdown of 28.8% and a 9.7% run-up.
- Max drawdown
- −28.8%
- Max run-up
- +9.7%
- Duration
- 88 days
- Largest single-day move
- +6.5%
- Bars
- 64 Daily bars
- Decision points
- 11
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
Wheat futures in the summer of 2023 presented traders with one of the decade's more punishing downtrends in agricultural commodities. The 64-bar period from late July through October tested every dimension of decision-making under pressure. Participants faced the challenge of navigating a market where macroeconomic forces, supply dynamics, and currency movements converged to drive prices steadily lower.
The numbers tell the story of an unforgiving slide: prices fell from 757.5 to 586, a decline of 22.6% over the data span. The maximum drawdown reached 28.8%, and traders had to contend with a largest single-bar move of 6.5% that could quickly erode position sizing assumptions. Across the replay, 11 decision points punctuated the trend, with 4 critical nodes demanding the sharpest judgment about position management and risk exposure.
This scenario sharpens recognition of trend deterioration signals and reinforces disciplined risk protocols under extended drawdown conditions. Traders learn to separate emotional reactions to losses from objective assessment of market structure, building the psychological resilience necessary when facing sustained downside momentum in volatile commodity markets.