Analyze sentiment of articles about trading assets
Explore and filter language model benchmark results
Explore BERT model interactions
Retrieve news articles based on a query
Playground for NuExtract-v1.5
Open LLM(CohereForAI/c4ai-command-r7b-12-2024) and RAG
Detect emotions in text sentences
ModernBERT for reasoning and zero-shot classification
Predict song genres from lyrics
Deduplicate HuggingFace datasets in seconds
Generate vector representations from text
Find collocations for a word in specified part of speech
Classify Turkish news into categories
Trading Analyst is an AI-powered text analysis tool designed to help traders and analysts gauge market sentiments by examining articles related to various trading assets. It leverages advanced natural language processing (NLP) to deliver actionable insights, enabling users to make informed trading decisions.
What sources does Trading Analyst use for sentiment analysis?
Trading Analyst aggregates data from news articles, blogs, financial reports, and social media to ensure comprehensive sentiment analysis.
How accurate are the sentiment alerts?
The accuracy of alerts depends on the quality and relevance of the source material. Trading Analyst uses advanced AI models to minimize errors, but it’s recommended to cross-check with other data points before making trades.
Can I customize the sentiment analysis parameters?
Yes, users can adjust thresholds and filters to tailor sentiment analysis to their specific trading strategies and asset focuses.
Is Trading Analyst available in multiple languages?
Yes, Trading Analyst supports multiple languages, allowing it to analyze global news and market sentiments effectively.