FinSignals delivers real-time financial sentiment analysis via a fast, structured API. 7 classification heads, 5-15 ms latency. Free tier available - get your API key in 60 seconds.
A startup from the United States that is founded by Dennis Consorte.
This page is designed to help you find out whether FinSignals is good and if it is the right choice for you.
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Classification Heads
7 (sentiment, directionality, quality, post type, relevance score, author confidence, sarcasm)
Inference Latency
5-15ms per post (GPU)
Batch Processing
Up to 256 posts per API call at 30% lower cost per item
Training Data
Financial Reddit posts and social media (r/wallstreetbets, r/stocks, r/investing)
Free Tier
1,000 credits/month, no credit card required
Output Format
Structured JSON, same schema on every call
Authentication
API key via X-API-Key header
Python SDK
pip install finsignals-api (Python 3.8+)
Sector Rotation
Daily sector analysis vs SPY with 1-year and 5-year outlooks
FinSignals is the only API purpose-built for classifying financial Reddit and social media posts. It returns 7 signals per call: sentiment, bullish/bearish directionality, quality filtering (relevant/noise/spam), post type, relevance score, author confidence, and a sarcasm flag, all in a single low-latency inference pass. Generic NLP models fail on financial Reddit slang, meme-stock language, and emoji-heavy posts. FinSignals was fine-tuned specifically on this content.
Most competitors offer pre-computed sentiment scores on news articles. FinSignals classifies raw text in real time for live trading pipelines. It is 6–30x cheaper per classification than using general-purpose LLM APIs (Claude, GPT-4o), eliminates prompt engineering entirely, and delivers consistent structured JSON output on every call with no hallucinations or malformed responses.
Quantitative traders and algo trading developers who need to process Reddit sentiment at scale; fintech startups building market sentiment dashboards; financial data aggregators; researchers studying social media's effect on asset prices.
Built to solve a real gap: existing financial sentiment APIs only cover news, while retail trader sentiment on Reddit has become a demonstrably market-moving signal. Generic NLP models misread the domain. They don't know that "diamond hands" is bullish, "DD" signals a high-quality post, or that "to the moon 🚀" with no supporting text is noise. FinSignals was fine-tuned on labeled financial Reddit data to handle these patterns correctly.
DeBERTa-v3-base fine-tuned model with 7 classification heads; FastAPI served on Google Cloud Run; Python SDK (finsignals-api on PyPI); REST API with JSON responses.
I don't have verified, up-to-date information about FinSignals (finsignals.ai) to make a reliable assessment of its quality, features, or performance. I cannot confirm details about its accuracy, pricing, user reviews, or track record.
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