Built for investors who want evidence, not guesswork
Nang Phatdat combines systematic backtesting with AI-assisted pattern analysis to give investors a clearer, data-backed view of market behaviour — without requiring them to build or maintain the models themselves.
Why we started Nang Phatdat
Nang Phatdat was created out of a simple frustration: most individual investors either rely on surface-level commentary or need specialist skills to run their own quantitative analysis. We set out to close that gap — building a platform that applies the same rigorous, data-driven methods used by professional analysts, and presents the results in a format that's actually usable.
Rather than making predictions or offering trading signals, our focus is on structured analysis: testing strategies against historical data, surfacing patterns through AI-assisted models, and reporting the results transparently, including their limitations.
We continue to refine our approach as market conditions, data availability, and modelling techniques evolve, with the same principle guiding every update — give users the clearest possible picture, not the most convenient one.
Making rigorous analysis accessible
We believe investors make better decisions when they can see the data and methodology behind an analysis — not just a conclusion. Our mission is to make that level of rigor available without requiring a background in quantitative finance.
Show the working, not just the result
Every report includes the assumptions, timeframes, and limitations behind the analysis, so you understand what the numbers do and don't tell you.
Backtest before we present
Strategies are tested against historical data before being surfaced, reducing reliance on untested assumptions or short-term noise.
Analysis, not advice
We provide data and modelling output. The decisions — and the responsibility for them — remain entirely with the investor.
Built for real decision-making
Reports are structured to be read and understood quickly, without stripping out the detail that matters.
The values behind our process
Data first
Conclusions follow the data, not the other way around. We avoid shaping analysis to fit a narrative.
Honest limitations
No model predicts markets with certainty. We report confidence levels and caveats alongside every result.
Continuous testing
Strategies and models are re-evaluated as new data comes in, rather than treated as fixed conclusions.
User control
We provide analysis and tools. Every investment decision, and its outcome, stays in the user's hands.
A small, focused group
Nang Phatdat is built by a team with backgrounds spanning quantitative analysis, software engineering, and applied machine learning. We work as a tightly focused unit, prioritising depth of methodology over breadth of features — and we'd rather do a smaller number of things well than spread thin across every market trend.
Analysis & Modelling
Responsible for designing and validating the backtesting frameworks and AI models that power our reports, with an emphasis on testing assumptions rigorously before anything is published.
Product & Reporting
Focused on turning complex analytical output into reports that are clear, well-structured, and genuinely useful for decision-making — without oversimplifying the underlying data.
See the methodology in action
Explore how Nang Phatdat's analysis and reporting process works, and what it can show you about your own strategy.
Learn How It Works