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News AI Analysis evaluates how major economic events and headlines influence
different currency pairs.

The system takes a single piece of news — such as:

  • central bank rate decisions
  • inflation and CPI reports
  • employment data
  • geopolitical headlines

— and analyzes how this event affects various currencies and assets.

For every affected pair, the AI provides:

  • sentiment → Positive, Negative, or Neutral
  • a short explanation of why the news matters
  • which currency is strengthening or weakening

This allows traders to instantly understand how the same news impacts multiple
markets at once.

AI analysis is based on verified financial data:

  • central bank announcements
  • inflation and employment reports
  • major news sources
  • historical market reactions

This makes the output highly consistent and useful — but not perfect.

Market reactions can be unpredictable, and the AI may:

  • misinterpret unusual events
  • assign weaker or stronger sentiment than the market ends up showing
  • rely on incomplete news flow during volatile periods

AI is a helpful guide, not a guaranteed prediction.

The StrengthScore summarizes the overall impact of multiple recent news events
on a currency pair:

  • 1–2 → very weak sentiment
  • 3–4 → moderate weakness
  • 5 → neutral, no clear direction
  • 6–8 → moderate to strong support
  • 9–10 → extremely strong bullish momentum

It shows not only direction, but also intensity of the news-driven trend.

  • 3/10 → bearish tone, but not extreme
  • 5/10 → neutral, mixed signals
  • 8/10 → strong positive news supporting the base currency

This helps traders separate noise from real momentum.

The News AI engine is built around macroeconomic events, such as central bank
decisions, CPI, and employment data — all of which directly affect currencies
first.

Because forex is the most sensitive market to economic news, the system
currently focuses on:

  • USD
  • EUR
  • GBP
  • JPY
  • CAD
  • AUD
  • NZD
  • CHF

Crypto, stocks, and indices may be influenced as well, but they require
different data models.

Support for additional asset classes may be added later.

The system evaluates:

  • The meaning of the news (e.g., rate hike = stronger currency)
  • The size and importance of the event
  • How similar events historically impacted that currency
  • Whether other recent news supports or contradicts the direction

Then it assigns sentiment:

  • Positive → currency strengthened
  • Negative → currency weakened
  • Neutral → little or mixed impact

Combined with the StrengthScore, this determines whether the outlook is a:

  • Weak Buy
  • Strong Buy
  • Weak Sell
  • Strong Sell
  • Neutral signal

The label shows which currency in the pair is being affected and how.

For example:

  • Positive (USD) → the news strengthens the U.S. dollar
  • Negative (USD) → the news weakens the U.S. dollar

Since currency pairs move relative to each other:

  • Positive (USD) → bearish pressure on EUR/USD, GBP/USD, XAU/USD, etc.
  • Negative (USD) → bullish pressure on the same pairs

This makes it easy to interpret cross-pair implications at a glance.