Everything about what Sentiments Analyzer does, where the data comes from, and how to read it.
Yes. The live terminal is open to everyone with no login required. Creating a free account adds a daily email brief and the AI analyst. There's no credit card and no paywall today.
It's a crypto sentiment and narrative intelligence terminal. It reads hundreds of crypto headlines and posts a day, scores the market's sentiment from 0 to 100, tracks which narratives are heating up, shows sentiment versus price, and lets you ask an AI analyst about the data.
From a broad, live stream of crypto news, social discussion, market and derivatives data and search-trend signals, hundreds of inputs a day, aggregated and scored in real time.
Every headline and post is scored by natural-language sentiment models, then aggregated into a 0-100 index. The reading is compared against a rolling baseline so it reflects whether the mood is genuinely hotter or colder than normal, rather than being permanently optimistic.
When sentiment genuinely shifts into a bullish or bearish regime, that moment is logged as a "call". We then check Bitcoin's price over the next 24 hours. A call is a win if price touched the 1% target in the called direction, or simply ended at least 0.25% in that direction after 24 hours. It's a transparency metric, not a promise of future results.
No. Everything on Sentiments Analyzer is automated market analysis for informational and educational purposes only. Nothing here, including any AI-generated answer, is investment advice. Crypto is volatile and you can lose money, always do your own research.
No. The terminal is fully open. An account only unlocks the daily email brief and the AI analyst, and lets you set your experience level.
Yes, there's a public API endpoint that returns the current market sentiment, trend, confidence, leading narratives, warnings and a short forecast in a fixed JSON structure, refreshed roughly every ten minutes.
The pipeline refreshes continuously, roughly every ten minutes, so the terminal and the public API always reflect the latest reading.
It was built end-to-end by Areeb Ali, an ACCA student and builder, as a real product and a portfolio piece. You can read more on the About page.