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
Momentum
Value
Quality
Size
Fundamental Ranking
Sector Specific
Trend Following
Mean Reversion
Research Papers
Ideas
Statistical Analysis
Technical Analysis
Formulating
Trading Universe
Entry And Exit Criteria
Position Sizing
No. of Positions
Profit Targets And Stop Loss Basis
Rebalancing Frequency
Risk/Reward Framework
Testing
Historical Simulations
Paper Trading
Live Testing
Stress Tests
Scenario Testing
Evaluation
Live vs Simulations
Performance
Drawdowns
Sharpe Ratio
Correlation
Benchmark Comparisons
Scalability
Roster of Strategies
Final Basket of Strategies that cater to different risk profiles, needs and goals.