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Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a hard difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Optiver.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Optiver during technical interviews.

Design and backtest a trading strategy | Optiver Interview Question

Quick Overview

This question evaluates a candidate's ability to design and rigorously evaluate a minute-level mean-reversion trading strategy, encompassing quantitative finance competencies such as signal construction, risk controls, position sizing, transaction-cost modeling, reproducible backtesting, and statistical validation; it belongs to the Analytics & Experimentation category within financial time-series and backtesting. It is commonly asked because it tests both practical implementation skills (reproducible backtests and walk-forward validation) and conceptual understanding (overfitting, data-snooping, and statistical significance testing), requiring a mix of practical application and conceptual statistical reasoning.

Minute-Level Mean-Reversion Strategy: Design, Backtest, Validation, and Significance

Context

You are given minute-level OHLCV data (open, high, low, close, volume) for a single equity over 180 regular trading days. Assume the data are split-adjusted and cover regular trading hours (no overnight trading).

Task

Design and implement a simple mean-reversion strategy and evaluate it rigorously.

Specify the complete strategy specification:
- Entry/exit rules based on a mean-reversion signal.
- Risk controls (e.g., time stop, stop-loss, daily stop, position caps, no-trade windows).
- Position sizing (e.g., volatility targeting) with explicit formulas/parameters.
- Transaction costs and slippage model.
Implement a reproducible backtest that outputs at minimum:
- Total and per-day PnL, win rate, average trade PnL, max drawdown, realized volatility, Sharpe ratio, and turnover.
Perform out-of-sample validation using a hold-out split or walk-forward (rolling) validation. If you tune parameters, do so only on in-sample windows and freeze them for the test windows.
Discuss overfitting risks and apply a suitable statistical test (e.g., bootstrap-based White’s Reality Check or similar) to assess whether performance is statistically significant given data-snooping.

Deliver a clear, step-by-step solution with code or pseudocode, including assumptions and guardrails to avoid look-ahead and survivorship biases.

Quick Overview

Task

Design and implement a simple mean-reversion strategy and evaluate it rigorously.

Specify the complete strategy specification:

Entry/exit rules based on a mean-reversion signal.
Risk controls (e.g., time stop, stop-loss, daily stop, position caps, no-trade windows).
Position sizing (e.g., volatility targeting) with explicit formulas/parameters.
Transaction costs and slippage model.

Implement a reproducible backtest that outputs at minimum:

Total and per-day PnL, win rate, average trade PnL, max drawdown, realized volatility, Sharpe ratio, and turnover.

Perform out-of-sample validation using a hold-out split or walk-forward (rolling) validation. If you tune parameters, do so only on in-sample windows and freeze them for the test windows.

Discuss overfitting risks and apply a suitable statistical test (e.g., bootstrap-based White’s Reality Check or similar) to assess whether performance is statistically significant given data-snooping.

Deliver a clear, step-by-step solution with code or pseudocode, including assumptions and guardrails to avoid look-ahead and survivorship biases.

Design and backtest a trading strategy

Quick Overview

Minute-Level Mean-Reversion Strategy: Design, Backtest, Validation, and Significance

Context

Task

Solution

Comments (0)

Design and backtest a trading strategy

Quick Overview

Minute-Level Mean-Reversion Strategy: Design, Backtest, Validation, and Significance

Context

Task

Solution

Comments (0)