Sentiment analysis API that aggregates social, news, and analyst signals into a single quantitative view. Track stock sentiment momentum shifts, conviction divergence, and crowd-vs-analyst disagreement across any watchlist.
from axion import Axion, utils, visualize
client = Axion(api_key="your_api_key")
tickers = ["NVDA", "TSLA", "META", "AMZN", "MSFT"]
def fetch_sentiment(row):
t = row["ticker"]
social = client.sentiment.social(t)
news = client.sentiment.news(t)
analyst = client.sentiment.analyst(t)
return (t, {
"ticker": t,
"social": social["score"],
"news": news["score"],
"analyst": analyst["score"],
})
df_tickers = utils.df([{"ticker": t} for t in tickers])
signal_map = {}
utils.work(df_tickers, fetch_sentiment, signal_map)
df_signals = utils.df(list(signal_map.values()))
visualize.scatter(
df_signals,
x="social",
y="analyst",
hover=["ticker", "news"],
)
Current news sentiment analysis and scoring from 500+ financial news sources with entity-level granularity. Filter by ticker, industry, or region for targeted analysis.
Track stock sentiment from Twitter, Reddit, StockTwits, and other social platforms. Capture crowd psychology and retail-driven momentum before it hits the tape.
Analyze management tone and sentiment from earnings call transcripts using NLP. Detect hesitation, optimism, and subtle shifts in language patterns.
Track daily sentiment signals for tracked securities. Integrate into research workflows, dashboards, or risk models, with decades of history for backtesting.
Precision sentiment tagging for companies, executives, products, and geopolitical events. Isolate the signal relevant to your specific holdings or watchlist.
Identify abnormal spikes in volume, sentiment divergence, and emerging narratives. Surface the sentiment breaks that have historically preceded price moves.
Global Sentiment Coverage
Aggregate sentiment data from financial news, social chatter, and analyst reports across every major market - normalized, scored, and refreshed daily.
Transform unstructured news, social chatter, filings, and analyst reports into actionable sentiment data and quantitative signals. Track market mood, momentum shifts, and controversy risk with current daily signals and decades of history.
From Reddit threads to research desks, see exactly how the world is talking about AAPL - broken down by source, scored for confidence, and updated daily.
Current sentiment analysis from 500+ financial news sources with entity-level granularity. Track market sentiment across social platforms, analyze management tone from earnings call transcripts using NLP, and surface sentiment shifts across decades of history.
Get Started Today142k posts analyzed · 24h
Mentions up 18% vs 7-day average
Composite market emotion
Greed
You can track sentiment from financial news, social media, and earnings calls with daily updates.
MULTI-SOURCE COMPOSITE
Options
82Surveys
61Social
74Flows
551W change
+11
Signal agreement
3 / 4
You never miss a market-moving story with our massive content ingestion pipeline.
PRICE VS POSITIONING
78
optimism
Price trend
RisingPositioning
CrowdedYou can monitor Twitter, Reddit, and StockTwits for crowd-sourced sentiment signals.
SEMANTIC CLUSTERS
AI capex overtook rate cuts as the dominant cross-market narrative 46 minutes ago.
You get a truly global view of market narrative with multilingual sentiment analysis.
NEXT 36 HOURS · S&P 500
Macro
CPI release
Policy
Powell testimony
Earnings
TSMC sales
Macro
Jobless claims
News intensity is 1.8× normal ahead of the CPI print.
You can track how sentiment shifts across days, quarters, and years for your tracked securities.
Four families: social media posts, news flow, journalist tone and sell-side analyst commentary; each scored per ticker.
Source-specific signals are normalised onto comparable scales so you can test which family carries alpha for your horizon before weighting them together.
Yes, each source family is available through its own endpoint with a normalised score, so you can weight social, news and analyst signals to fit your horizon and strategy rather than relying on a fixed black-box blend.
History is retained per source so you can validate signal efficacy over long windows before deploying it live.
Flexible plans for developers, startups, and enterprises. Access comprehensive market data, fundamental data, and alternative data through a single financial data API.
Join thousands of developers and quants using AxionQuant to power financial applications with market data, fundamentals, and alternative data. Grab your free API key and start pulling stock market data in minutes.
No credit card required • free tier is free foreverThe latest on our financial data API, market data, fundamentals, and quantitative research, sent to your inbox.