Core Concepts
News Impact Scoring
How Swingtrader turns raw news into structured, ticker-specific impact signals using nine independent scoring heads.
News Impact Scoring
Most news is noise. A headline about interest rates might tank growth stocks and boost banks at the same time. Traditional sentiment tools miss this entirely: they label a headline as "positive" or "negative" without answering two critical questions:
- Negative for whom?
- Negative about what?
News Impact Scoring is what makes Swingtrader different. Instead of a single sentiment number, every article is transformed into a structured impact vector that maps news to the specific mechanics that move stock prices.
How it works
When a news article is ingested, it is scored across nine independent dimension clusters simultaneously. Each scoring head focuses on a different part of market mechanics and returns:
- Direction – positive or negative
- Magnitude – how strong the effect is
- Confidence – how sure the model is
- Plain-language explanation – why it scored that way
These heads run in parallel and together form a multi-dimensional view of how the article interacts with the market.
1. Macro Sensitivity
Question: How does this news affect macro exposures like interest rates, dollar strength, inflation, credit spreads, and commodity costs?
A Fed rate decision hits companies with floating-rate debt very differently from cash-rich businesses. This head evaluates:
- Rate sensitivity (growth vs value, levered vs cash-heavy)
- FX exposure (stronger/weaker dollar implications)
- Inflation and input cost pressures
- Credit conditions and spread risk