State the assumptions
A result needs context: data, time period, costs and constraints.
OUR APPROACH
Evidence first.
Engineering throughout.
We treat a strategy as a complete operating system: its assumptions, decision rules, capital behavior and execution all belong in the same conversation.
CMA TECHNOLOGIESRESEARCH / RISK / ENGINEERING
FROM QUESTION TO SYSTEM
A deliberate path
from idea to application.
- 01
Frame the question
Start with a clear market hypothesis, an intended behavior and the conditions under which the idea could fail.
- 02
Challenge the evidence
Examine data quality, cost assumptions and behavior across different periods and market environments.
- 03
Design the risk
Consider sizing, concentration and capital constraints at both strategy and portfolio level.
- 04
Connect the implementation
Translate the decision rules into executable logic with explicit settings and observable behavior.
- 05
Review what actually happens
Compare expected and observed behavior. Separate historical tests from live results and make the differences visible.
HOW WE THINK
Clarity is an
engineering requirement.
See the portfolio
A strategy-level result does not explain aggregate portfolio risk.
Separate result types
Historical tests, simulations and live observations answer different questions.
Keep the limits visible
Model uncertainty, execution costs and adverse conditions remain part of the assessment.
“
A backtest is a research instrument. A live system is an operational responsibility.
CMA TECHNOLOGIES / TECHNICAL OVERVIEWSTART A CONVERSATION
Good systems begin
with the right questions.
Talk to us about algorithmic systems, capital and risk modules, investor visibility or a tailored software product.