Strategy specification and code
Documented signals, entry and exit rules, sizing, risk controls and configuration for the agreed research or execution platform.
AIMADDS designs, codes and backtests trading and investment strategies around your objectives, markets, timeframes and risk constraints. Receive a documented strategy and evidence of how it performed under the agreed test conditions.
You make the investment decisions. Backtests are hypothetical; development targets are evaluation criteria, not promised returns or future risk limits.
Agree the specification, build the strategy, evaluate the results and deliver the code and research needed to review the outcome.
We agree the markets, instruments, timeframes, entry and exit rules, sizing, leverage, risk limits and evaluation criteria with you before development begins.
We assess data coverage, corporate actions, timestamps and delisted instruments where relevant. Data limitations and checks for look-ahead and survivorship bias are documented.
Agreed assumptions for commissions, spreads, slippage and execution constraints are included in the backtest. Sensitivity analysis shows how estimated costs affect results.
We separate development and evaluation periods where data permits, document the variants tested and assess parameter stability. The validation plan is agreed in advance.
We compare the strategy with agreed benchmarks and examine drawdown, volatility, exposure, turnover and behavior across market regimes against your requirements.
The agreed handoff includes strategy code, parameters, data references, a backtest report and reproducibility instructions. Data delivery depends on source licensing.
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
Portfolio rotation and risk overlays
Ranking, rebalancing, position sizing, exposure caps and drawdown controls
Client-defined strategies
Your own rules, instrument universe and trading sessions, scoped to available data and the agreed platform
Scope and formats are agreed before development. Results include weaknesses and failed tests, so you can decide whether a strategy merits further work.
Documented signals, entry and exit rules, sizing, risk controls and configuration for the agreed research or execution platform.
Performance, drawdown, trade statistics, exposure and cost assumptions, with out-of-sample or walk-forward results where the data supports them.
A review dashboard, PDF or editable Word report, and Excel results workbook as agreed for the engagement. Include assumptions, methodology and limitations.
Reproduction instructions, acceptance criteria and, where in scope, a paper-trading plan to evaluate behavior before any live use.
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.
Your requirements guide development; code ownership and delivery are agreed in the engagement scope
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
Share your strategy idea, preferred markets, timeframe, risk constraints and benchmark. We will agree the development scope, data requirements and deliverables with you.