Strategy R&D

Strategy development demands rigorous analysis and systematic testing

Before any investment approach is considered for client implementation, it must pass a multi-phase testing protocol:

  • Algorithmic Modelling: Establishing clear, programmatic entry and exit rules.
  • Back-Testing & Paper Trading: Historical testing followed by live forward-testing to compare simulated results against real-time market data.
  • Stress Testing: Scenario analysis under diverse market shocks and liquidity environments.
  • Multi-Factor Screening: Quantitative review across key metrics, including risk-adjusted returns (Sharpe ratio), historical drawdowns, benchmark correlations, estimated slippage, and strategy scalability.

This multi-month incubation process ensures only strategies meeting defined risk and operational criteria are made available on our platform.

We have tested 100s of strategies

Finding Patterns
Finding Patterns

Momentum

Value

Quality

Size

Fundamental Ranking

Sector Specific

Trend Following

Mean Reversion

Research Papers

Ideas

Statistical Analysis

Technical Analysis

Formulating
Formulating

Trading Universe

Entry And Exit Criteria

Position Sizing

No. of Positions

Profit Targets And Stop Loss Basis

Rebalancing Frequency

Risk/Reward Framework

Testing
Testing

Historical Simulations

Paper Trading

Live Testing

Stress Tests

Scenario Testing

Evaluation
Evaluation

Live vs Simulations

Performance

Drawdowns

Sharpe Ratio

Correlation

Benchmark Comparisons

Scalability

Roster of Strategies
Roster of Strategies

Final Basket of Strategies that cater to different risk profiles, needs and goals.