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Group Astra

Project Description

Details and available information

Build a Market Neutral Trading Strategy: From Theory to Backtested Model

Client Scenario: A Singapore based Family Office client managed around $150m of investment assets. Around 30% is allocated to active trading strategies across asset classes. CIO is interested in evaluating a Market Neutral Trading framework, primarily around equity asset class. 

Project Objective: Design, backtest, and present a market neutral trading strategy that generates alpha while minimizing market risk exposure. Teams will analyze historical data, identify trading signals, implement hedging mechanisms,  evaluate performance metrics and build a functional model.

Domains Covered: Finance (primary) + Consulting (secondary)

Weekly Plan

Suggested weekly progress plan

Suggested Progress Plan

  • Week 1: Learning + Allocation planning + Data sources
      • Market-Neutral concept understanding
      • Strategy types identified (e.g. pairs trading, statistical arbitrage) 
      • Data infrastructure setup, access to price data sources (Yahoo Finance/Bloomberg)
      • Universe selection: Defined tradable universe (e.g., S&P 500, sector-specific stocks)
  • Week 2: Signal development strategies
      • Identify and validate pairs/baskets of securities for market neutral trading
      • Develop at least 2-3 distinct trading signals with clear entry/exit rules
      • Establish risk parameters and position sizing methodology
        Create initial signal testing framework (foundation for Week 3 backtesting)
  • Week 3: Backtesting + Analysis
      • Functional backtesting engine (usable model) with proper data handling and execution logic
      • Complete multi-year backtest with transaction costs modeled
      • Performance metrics calculated
      • Stress testing completed, performance across different market regimes
      • Strategy refined based on backtest insights (without overfitting)
      • Draft report with visualizations
  • Week 4: Documentation + Presentation
Further suggestions will be added on a weekly basis

Resources

Suggested reference material

Reference Resource List

  • https://www.fidelity.com/learning-center/trading-investing/trading/pairs-trading
  • To be provided on an ongoing basis