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Where Markets
Are Discussed

Join the Symposium—a focused community where every discourse is anchored to an instrument. No noise, just high-signal market discussion on stocks, ETFs, and crypto.

Symposium Focused Discussion
Developer API Dev API Financial Sentiment Analysis Financial Sentiment
Q
quantguild Columbia 2m ago
NVDA

Earnings beat estimates. Data center revenue up 154% YoY. AI demand continues to exceed supply. Long term bullish.

42 8 12
O
options_flow Millennium 5m ago
SPY

Unusual call activity on SPY Dec 600s. Large block at ask. Someone's making a bet on year-end rally.

89 23 31
A
alpha_trader Trader 12m ago
BTC

Bitcoin breaking through key resistance levels. Institutional inflows accelerating with ETF demand.

156 47 28

Focused Market
Discussion

A better way to discuss markets. Here's how it works.

Start With an Instrument 01

Every discourse begins with a ticker. Start with any stock, ETF, or crypto—then share your thesis. This keeps every conversation actionable.

Build Your Watchlist 02

Follow the instruments you trade. Your watchlist powers a personalized feed.

NVDA
TSLA
AAPL

Live Sentiment 03

Every post is analyzed in real-time. See bullish or bearish signals instantly.

Bearish Bullish

Personalized Feed 04

See discourses on your watchlist. Follow top traders for alpha-generating insights.

TM
OF
EA
+42

What's Moving 05

Real-time trending shows which tickers are capturing attention right now.

Start a
Discourse

From idea to discussion in seconds.

1

Select Instrument

Start with any stock, ETF, or crypto

NVDA Stock
2

Write Your Thesis

Share your analysis with conviction

NVDA 423/500
3

Publish & Engage

Watch the engagement roll in

42
12
8
Live
Start Your First Discourse

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Discourses discourses

Language API

Institutional-grade sentiment intelligence and financial NLP

Core Engine

Financial Sentiment Analysis

Transform unstructured text into actionable sentiment signals. Our proprietary aurelius model processes news, social media, and filings with sub-50ms latency.

response.json
{
  "sentiment": {
    "score": 0.847,
    "label": "bullish",
    "confidence": 0.94
  }
}

Era-Calibrated Lexicons 01

Our model adapts to semantic drift across 4 market eras—from pre-2016 to meme stock vernacular.

Primitive Ramp Meme Present

Batch Processing 02

Analyze up to 1,000 texts per request. Perfect for backtesting strategies and news feed processing.

Sub-50ms Latency 03

Real-time processing for live trading systems. Optimized for high-frequency applications.

47ms avg response

Developer SDKs 04

Official libraries for Python, Node.js, and REST. Get started in minutes with comprehensive docs.

Python Node.js REST

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