AI News Sentiment
Last updated
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Last updated
Was this helpful?
The Runbot AI News Sentiment Indicator analyzes real-time market news from reliable sources to deliver actionable sentiment insights. Using advanced AI models, it detects whether incoming news is likely to be bullish, bearish, or volatile, and measures how confident it is in that analysis. This helps traders quickly understand market sentiment and anticipate possible price reactions, offering a valuable edge alongside traditional technical indicators.
This indicator outputs three distinct sentiment score lines:
Bullish/Bearish Sentiment Score: Indicates the AI's assessment of positive or negative market sentiment.
Volatility Score: Measures the anticipated market volatility based on recent news.
+100
Strong confidence in a positive/bullish sentiment or high volatility. (e.g. strongly bullish or highly volatile news).
0
AI is unsure or detects neutral sentiment.
-100
Strong confidence in a negative/bearish sentiment or low volatility.
The AI continuously recalibrates its analysis by comparing predicted outcomes with actual market movements, enhancing its accuracy over time.
Alerts users when bids or asks sustain certain levels for a predefined number of candles, helping traders detect persistent buying or selling pressure, such as significant buy/sell walls.
In practice and as examples:
Use Bullish signals for directional long strategies.
Use Bearish signals for short bias or hedging.
Use Volatility signals to dynamically adjust position sizing.
Each can be used in a rule such as:
“If Bullish Sentiment > 70, then enter long.”
“Only enter trades when Volatility Sentiment < 40.”
“Exit if Bearish Sentiment rises above 50.”
You can also combine them with price action indicators, trend signals, or timing filters for layered strategies.
This indicator does not read tweets, Reddit, or forum posts, only verified and curated crypto news sources.
It's not a signal on its own, always use it as part of a broader system for best results.
Like any news-based system, it performs best in trending or reactive market environments.
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