Python Quant · Module Two
Research Signal Construction
Signals are study records created by defined conditions, not personal action instructions.
SIGNALS
Four signal-design tasks
Observation
Write the research state being observed.
Condition
Define the exact trigger condition.
Record
Store timestamp, value, and state.
Review
Compare signal quality across samples.
Observation
A research signal begins with a clearly written observation, such as a change in volatility, trend consistency, dispersion, or another measurable market state. The observation should describe what is being studied without implying an action.
Learners practice separating the research question from personal conclusions. This keeps the work suitable for education and makes later review more objective.
Condition
The condition defines exactly when a signal record is created. In Python, this usually means writing a boolean rule that uses named fields and documented thresholds or categories.
Conditions should be transparent enough for another learner to inspect. If a parameter is used, the notebook should explain why it is included and how sensitive the result may be to that choice.
Record
A signal record should include the timestamp, input values, calculated state, and any relevant notes. This turns a momentary observation into a dataset that can be reviewed across samples.
The module emphasizes traceability: learners should be able to identify which fields produced the record and whether the data was complete at that point in the sample.
Review
Review compares signal frequency, stability, and behavior across different periods or samples. The purpose is to understand the characteristics of the research condition, not to make personal recommendations.
Good review notes describe limitations, unusual periods, and whether the signal appears too sparse, too noisy, or too dependent on one sample window.
SIGNAL CHECKLIST
Questions before using a signal record
Is the condition explicit?
The fields, thresholds, and comparison logic should be visible in the notebook and easy to explain.
How often does it appear?
A signal that appears too often or too rarely may need clearer study boundaries before interpretation.
Does it depend on one period?
Review whether the signal behaves very differently across time windows or data samples.
Is wording educational?
Signal notes should remain descriptive and avoid language that sounds like personal instruction.
OUTPUTS
What this module produces
Signal log
A table showing date, input fields, signal state, and quality-control notes.
Frequency view
A simple visual summary that shows when records appear across the historical sample.
Interpretation summary
A short written review that separates observations from conclusions and records key limitations.