Contact person: Business Client

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Location: Brisbane, Australia

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"AI + Algorithmic Disclosure Scanner for ASX & US Microcaps
Project Overview
I’m looking for a developer to build a modular dashboard that scans ASX and US-listed micro, small, and mid-cap company Stock filings (e.g., quarterly reports, investor presentations, 10-Q, 8-K) using AI/NLP and algorithmic logic. The goal is to extract forward-looking disclosures that may act as price catalysts — such as new contracts, acquisitions, offtake agreements, JV formations, and strategic outlooks.

Key Features
• Keyword Scanner: Configurable terms like “offtake”, “acquisition”, “JV”, “contract”, “guidance”, “expects”, “ramp-up”
• AI/NLP Context Extractor: Pull full paragraph or section where keyword appears, prioritizing future-oriented language
• Algorithmic Filtering: Filter by date, company size (micro/small/mid-cap), filing type, and relevance score
• Dashboard UI: Sortable, filterable table with export options (CSV, JSON)
• Ticker Mapping: Link results to ASX and US stock codes
• Date Filter: Filter by filing date (e.g., last 7 days, last quarter)
• Source Tagging: Identify document type (ASX quarterly, 10-Q, 8-K, investor deck)
• Catalyst Scoring: Optional scoring based on strategic tone and future-oriented language" (client-provided description)