A Signal Starts With A Scoring Process

Before a setup becomes a public SwiftSignals alert, it first has to earn its way through a structured scoring process. The point is not to react to every stock that looks active on a chart. The point is to filter for cleaner setups with better structure and stronger context.

That scoring step creates discipline. It helps reduce random trade selection and keeps the process focused on names that show multiple signs of quality rather than a single attractive feature.

What The Score Looks At

SwiftSignals evaluates a setup using several pieces of market information together, not one indicator in isolation. That includes price action, trend structure, momentum, breakout quality, relative volume, and overall risk context.

A stock can look strong in one area but still fall short if the rest of the picture is weak. That is intentional. The model is meant to reward confluence, not isolated strength.

  • Price action
  • EMA structure
  • RSI
  • MACD
  • Breakout quality
  • Relative volume
  • Risk context

Why Confluence Matters More Than One Indicator

Many weak trading ideas look convincing if you only focus on one signal. A chart might have momentum, but be too extended. It might be trending well, but be running into poor timing. It might break out, but without the right supporting context.

That is why SwiftSignals uses a scoring model instead of a single-rule trigger. The goal is to look for setups where multiple parts of the picture make sense together.

The Score Is Only The First Gate

A stock still has to do more than just score well on the daily process. SwiftSignals requires a score of at least 11 before the setup can move forward, but that is not the end of the pipeline.

After the daily score, the setup still has to pass the 30-minute pullback filter. Only then can it be classified into one of the tiers: A, B, C+, or C.

Why This Helps Traders

The scoring process helps traders focus on setups that deserve a closer look instead of treating every active stock the same way.

That is what the SwiftSignals score is designed to do. It builds structure before the signal, instead of leaving all of the filtering to the trader after the alert arrives.