Dow Jones Ind. Uptrend Replay (1997-04-11 to 1997-08-06)
Replay the 1997 Dow Jones Industrial rally from February to September, a 15.1% climb across 150 daily bars. Step through each session, face 4 critical decision points, and receive an AI coach review of every simulated choice.
150 daily bars · 11 decision points · 1997-02 to 1997-09 · Stocks
Key facts
This window spans 215 days with a peak-to-trough drawdown of 9.8% and a 29.2% run-up.
- Max drawdown
- −9.8%
- Max run-up
- +29.2%
- Duration
- 215 days
- Largest single-day move
- +3.4%
- Bars
- 150 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
Between February and September of 1997, the Dow Jones Industrial Average entered a phase that every serious student of market history eventually circles back to. The replay window covers 150 daily bars beginning on 1997-02-20 and stretching through 1997-09-23, a stretch long enough to outlast most short-term narratives and to test how a participant holds a position when conviction is required rather than convenient. The setting is a benchmark US equity index during a period when global capital was actively repricing risk, and the stake for the trainee is process discipline rather than headline returns.
When the data is unfolded bar by bar, the index advances from a 6927.38 close at the start of the window to 7970.1 at the end, a 15.1% climb measured strictly from the facts provided. Embedded in that climb sits a 9.8% maximum drawdown and a largest single-bar move of 3.4%, meaning the path was far from smooth. Four of the eleven flagged decision points are marked as critical, the moments where the simulation asks the user to commit, hold, or step aside under genuine ambiguity. The trajectory illustrates that the headline gain and the lived experience of holding through the move are very different problems.
For decision-training purposes, the value of this replay lies less in the 15.1% endpoint than in the gap between the endpoint and the drawdown. A learner is forced to confront the psychology of watching a 9.8% pullback appear inside an otherwise rising trend, and to practice sizing and stop logic before the next 3.4% single-bar move arrives. The four critical nodes are essentially checkpoints for risk governance: do you pre-commit rules, or improvise after the fact? Walking through the same bars that real participants faced, with simulated capital and an AI coach review at each node, converts a famous historical run into a repeatable rehearsal of process.
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