What Are Market Briefs and How They Are Created

The Problem Market Briefs Solve

On an active trading day, dozens of articles may cover the same developing story from different angles. Reading each one individually is inefficient. Market Briefs solve this by automatically clustering related articles and synthesizing them into a single, structured intelligence document.

How Briefs Are Generated

The Brief generation pipeline runs automatically throughout the day using a two-stage LLM process:

Stage 1: Topic Clustering

• Model: Google Gemma-3-12b (fast, cost-efficient)
• Input: article titles from the last 24 hours, filtered by credibility ≥ 0.5 and importance ≥ 0.4
• Output: identified topic clusters — groups of 5+ articles covering the same story
• Maximum 5 clusters per run (to avoid overwhelming the platform with minor stories)

Stage 2: Brief Writing

• Model: Google Gemma-3-27b (larger, higher quality)
• Input: full content of 5-10 top articles from each cluster
• Output: structured brief with headline, summary, key points, and market impact assessment

The process includes duplicate prevention: if a brief covering the same topic and time window was generated within the last 6 hours, a new one is skipped.

Where Briefs Appear

• Homepage sidebar — 5 most recent briefs with headline, sentiment label (bullish/bearish/neutral), and timestamp
• /briefs page — full browsable archive of all briefs, filterable by asset class
• Asset pages — briefs relevant to that specific asset

Brief Metadata

Each brief carries aggregate statistics from its source articles:

• avg_sentiment — average general_sentiment across all source articles
• avg_quality — average quality_score
• avg_importance — average importance_score
• time_window_start / end — the temporal span of the news cluster (e.g., "stories from the last 4 hours")
• article_count — number of source articles synthesized

Who Should Use Briefs

Market Briefs are designed for:

• Time-pressed traders who need a 30-second overview of market developments
• Macro-oriented investors tracking developing stories across multiple sources
• Narrative analysts who want to track how a story evolves over days or weeks

If you have more time, complement briefs with in-depth Articles for detailed topic analysis.