Research at Emerald Legacy Systems

From idea to implementation

A useful idea must survive more than its first test. These steps guide investigation and revision; they do not imply every product has completed every stage.

1. 01

   Hypothesis / trading concept

   Identify a market behavior and a question that can be tested.

2. 02

   Signal or execution design

   Define the logic and how to judge whether the idea holds up.

3. 03

   Historical testing

   Test against historical data, noting data quality and execution assumptions.

4. 04

   Sensitivity and robustness analysis

   Explore nearby settings and changing market conditions, not just the best result.

5. 05

   Implementation validation

   Check that the platform implementation behaves as intended.

6. 06

   Forward / demo reference observation

   Observe behavior in a forward or demo setting where appropriate.

7. 07

   Documented results

   Record findings, assumptions and limitations so they can be reviewed.

8. 08

   Revision / iteration

   Use what is learned to refine the idea and repeat the process.

Research principles

Evidence before claims

Investigate the idea before drawing a conclusion.

Context matters

Read findings alongside their assumptions, period and market conditions.

Robustness over isolated results

Look beyond a favorable test to nearby settings and different conditions.

Implementation matters

Check how the method behaves on its intended platform.

Markets change

Revisit assumptions as behavior and conditions evolve.

Clear limitations

Explain what a result supports and what remains uncertain.

What we share

Public research may include methodology articles, market observations, testing approaches and lessons from system development. We share non-proprietary findings without publishing protected formulas, signal thresholds or execution logic.

As Emerald's research program grows, selected public research and community-contributed work may be presented here.

Continuous development

A promising initial test is a starting point, not a finished system. Review, observation and refinement feed back into development. Recording changes and their limitations helps us learn from each iteration.

Research investigates ideas and methods. Technology turns those ideas into engineered tools.

Reading results

Testing can reduce uncertainty, but it does not promise future profitability. For account classifications, records and their limits, use the dedicated performance pages.