Policy · Nifty 50 Index (2015)
Walk through 144 daily bars from September 2014 to April 2015 as the Nifty 50 navigates an 8.7% policy-driven drawdown. Replay each session, weigh choices at 25 decision points, and receive an AI coach review in this simulated training environment.
144 daily bars · 25 decision points · 2014-09 to 2015-04 · Stocks
Key facts
This window spans 224 days with a peak-to-trough drawdown of 8.7% and a 16.1% run-up.
- Max drawdown
- −8.7%
- Max run-up
- +16.1%
- Duration
- 224 days
- Largest single-day move
- −3.0%
- Bars
- 144 Daily bars
- Decision points
- 25
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
The scene opens on September 17, 2014, with the Nifty 50 hovering near historic highs as markets anticipated a policy shift. Over the following months, the Reserve Bank of India unexpectedly pivoted toward an easing cycle, catching many participants off guard. This replay immerses traders in 144 daily bars of authentic historical data, placing them at 25 decision points where policy uncertainty clashed with positioning—nine of which proved critical to outcomes.
The closing level rose from 7975.5 to 8239.75, yielding a modest 3.3% return—yet this headline figure conceals the turbulence beneath. The index endured an 8.7% maximum drawdown as rate expectations oscillated sharply, with a single session moving as much as 3.0%. Navigating these swings demanded both disciplined position sizing and the capacity to act decisively when consensus shifted.
This episode illustrates the difficulty of maintaining conviction during policy-driven volatility, where information arrives in fragments and market consensus can reverse rapidly. Successful participants distinguished themselves through process discipline: adhering to risk parameters even when short-term moves tested resolve, and updating views systematically as new data emerged. The replay teaches that policy surprises create asymmetric opportunities—but only for traders who have rehearsed their responses before uncertainty peaks.