A Rigorous Approach to Historical Strategy Validation

Every validation project begins with a commitment to process discipline and transparency, ensuring clients receive analysis grounded in best practices.

Sipho Dlamini

Sipho Dlamini

Lead Technical Analyst

Methodology Walkthrough
We apply each step with precision, turning market questions into clear, testable outcomes and actionable summaries.
1
Strategy Definition & Objectives
Clarify intent, rules, and what success looks like for your requirements.
This step anchors your validation by clearly defining inputs, criteria, and measurable goals. We document every aspect of your strategic question, ask targeted clarifying questions, and adapt the review to ensure it focuses on your genuine interests. All strategy details are recorded to enable transparent tracking throughout the full process.
2
Data Acquisition & Quality Check

Select and verify reliable market datasets, removing errors and inconsistencies.

We prioritize data integrity by sourcing historical datasets from robust platforms. Clean, validated data is foundational, so all records undergo consistency screening for gaps, outliers, or suspicious events. Irregularities are flagged and either rectified or excluded, and sources are always documented. Only after thorough review does data move forward in the backtesting pipeline.
3
Test Construction & Execution
Simulate real‑market application with signals, filters, and event tracking.
Methodology here involves replicating each scenario with user-defined rules and conditions. Our system applies these rules consistently to every data point in the test window. Metrics are calculated in real time, and checkpoints are built in for procedural verification. The entire process is repeatable and logs are available for review, promoting both reproducibility and accountability.
4
Outcome Reporting & Evaluation
Deliver clear, accessible reports emphasizing findings and implications.
After execution, results are compiled into intuitive charts, tables, and narrative form. Each report includes context for the findings—relative performance, conditions influencing outcomes, and possible areas of adjustment. Our review highlights key strengths and flags limitations so decisions can be made based on realistic, data-supported evidence. Past performance doesn’t guarantee future results.

Milestones Timeline

Continuous improvement in process

  1. Research Foundations

    Initial framework developed based on robust, locally sourced datasets.

  2. Automation Launch

    Testing moved to semi-automated workflow for speed and traceability.

  3. Expanded Market Data

    Broader South African equities and asset data added to research pipeline.

  4. Methodology Review

    Full process audit—improvements in documentation and transparency.

  5. New Metrics Added

    Additional analytical metrics introduced for deeper model evaluation.

Frequently Asked

Get answers on the process and what to expect

Quality checks, error detection routines, and transparent documentation support accuracy, but results may vary as past performance cannot ensure future outcomes.

You can select from multiple years or specific historic events, subject to data availability and the focus of your strategic requirements.

Yes, we comply with applicable privacy legislation and treat all client data with the utmost confidentiality and respect.

We offer analytical reporting, highlighting findings and context, but do not provide investment advice or specific financial recommendations.