What Is Systematic Trading?
Systematic trading is investing by rules instead of opinions. A defined set of measurements is applied to the same universe of securities, in the same way, every single day — and the output, not the mood of the market, decides what looks cheap and what looks rich.
Rules-based versus discretionary
A discretionary investor reads the news, forms a view, and acts on it. A systematic investor writes the rules down first, then lets the data trigger the decision. The difference matters most when markets are stressed: rules do not panic, do not chase, and do not become attached to a position.
What a systematic model actually does
Every model has three moving parts. First, a fixed universe — the list of securities being measured. Second, a set of objective inputs such as price, spread, valuation, earnings and supply. Third, a repeatable scoring method that ranks the universe and flags what has moved away from fair value.
Because the universe and the method never change from day to day, today's output is directly comparable to yesterday's. That comparability is the whole point: it turns market noise into a time series you can act on.
Why systematic trading removes bias
Human judgment is subject to anchoring, recency and confirmation bias. A systematic process does not eliminate risk, but it does eliminate the discretionary drift that causes an investor to make one decision on Monday and the opposite decision on Friday with no new information.
How the G-255 applies it
The G-255 is a systematic trading model built over four decades by Larry Domash and applied to the world's largest issuers of corporate credit and equity. It publishes Daily Trade Indicators, new issue supply and sector work on the same universe every day, using one consistent set of rules across both corporate debt and equities.
You can read the model's daily output in the Daily Trade Indicator reports or browse the full report archive. Related reading: what is systematic credit research.