Your investment thesis, built and tested with research-grade discipline.
AIMADDS builds systematic strategies to each client's own thesis and backtests them the way an investment committee expects: point-in-time data, realistic costs, walk-forward testing and complete documentation.
You keep every investment decision. We do not trade, manage money or sell signals.
How a thesis becomes a tested strategy
The same evidence discipline behind our diligence products, applied to systematic research.
Your thesis, written as rules
We turn the idea into a written specification (universe, signals, weighting, rebalancing and constraints) and agree it with you before any test runs.
Point-in-time data
Backtests use data as it was known at the time, including delisted companies, so results are free of look-ahead and survivorship bias.
Realistic costs
Commissions, spreads, market impact and, where relevant, taxes are modeled, so the test reflects what a real portfolio would have kept.
Out-of-sample and walk-forward testing
Every variant tried is recorded, so data mining is visible instead of hidden behind a single attractive result.
Stress and regime analysis
Drawdown, volatility, concentration, liquidity and capacity examined across different market regimes.
Full documentation
Code, data versions and parameters are stored with every result, so your committee or allocators can reproduce and review the work.
Strategies we research
Factor and multi-factor
Value, quality, profitability, low volatility and custom factors
Momentum and trend
Cross-sectional and time-series momentum with confirmation rules
Thematic universes
Rules-based universes for a theme, ranked on fundamentals and momentum
Values-based screens
Faith-based, Sharia-compliant and ESG screens with documented methodology
Due diligence
Private-company diligence when a thesis leads beyond public markets
Research you can defend
A backtest is only as useful as the scrutiny it survives. Every engagement is built so your investment committee, your allocators or your own skeptics can trace each result back to its data and code.
You own the thesis, the strategy and every investment decision
No performance promises: results are research, labeled hypothetical, with assumptions stated
Your ideas and data stay in your engagement and are never used for other clients
Deterministic code does the math; AI assists research and never invents numbers
Have a thesis you want tested?
Tell us the idea. We will scope the research, agree the specification with you and show you what a rigorous test looks like.