Multi-Agent Market Sentiment & News Ingestion Terminal
Ingest Fed speeches, SEC 10-K filings, and Bloomberg wire streams with sub-second LLMs to trigger automated trades.
π Financial & Retainer Economics
π― Market Opportunity & Why Clients Pay For This
When the Federal Reserve releases an interest rate decision, or an S&P 500 company drops an unexpected 8-K filing, stock prices move 3% to 8% within 15 seconds. Human traders cannot read a 20-page Fed statement in 500 milliseconds. A multi-agent sentiment terminal ingests raw text streams via WebSockets, breaks the text into semantic propositions, scores hawkish/dovish sentiment using DeepSeek-V4.1, and dispatches automated buy/sell orders via Tradier or Alpaca before retail traders even open Twitter.
Target Customer Niches (Ideal Customer Profile):
- Full-time equity day traders & prop firm funded traders
- Boutique hedge funds trading macro economic announcements (CPI, FOMC)
- Earnings report momentum traders trading post-market releases
- Commodity and forex traders reacting to geopolitical breaking news
π§° Required AI Models & Infrastructure
π Step-by-Step Execution Roadmap
βοΈ Technical Architecture & Prompt Recipes
graph LR
News[News Stream / SEC EDGAR] --> Socket[WebSocket Consumer]
Socket --> LLM[DeepSeek-V4.1 Sentiment Scorer]
LLM --> Filter[Risk & Confidence Validator]
Filter --> Broker[Tradier / Alpaca REST API]
Broker --> Fill[Fill Execution in < 450ms]
Sub-Second Sentiment Scoring Prompt:
You are a High-Frequency Macro Quant Analyst.
Evaluate the following financial announcement:
Headline: '${news_text}'
Output JSON strictly:
{
'ticker': 'SPY / AAPL',
'macro_bias': 'HAWKISH | DOVISH | NEUTRAL',
'sentiment_score': 0.85,
'immediate_volatility_impact': 'HIGH | LOW'
}
Technical Execution Stack & Developer Resources
Everything you need to code, test, and deploy this blueprint to production.
Test, simulate, and debug Python algorithms, JS scripts, and SQL schemas for this model with zero local setup.
βοΈ Copy-Paste Client Acquisition Outreach Script
Subject: Trade earnings & Fed news 10 seconds before CNBC Hi [Trader Name], During yesterday's FOMC announcement, the S&P 500 moved 45 points in 30 seconds. Trying to manually read the Fed statement and click buy/sell is impossible against Wall Street algorithms. We built an automated AI sentiment terminal powered by DeepSeek-V4.1. It reads SEC filings and Fed releases in 350 milliseconds, scores sentiment, and sends instant execution webhooks directly to your broker. Here is our live execution log from yesterday's release: [Link]. We are opening 25 beta seats at $199/mo with a 7-day money-back guarantee. Would you like to test it during this Thursday's CPI print? Best, [Your Name]
β Frequently Asked Questions
What is the end-to-end latency?
From news ingestion to order dispatch on Alpaca or Tradier, total pipeline latency averages between 420ms and 680ms.