aaronYes — and you can do it without becoming an engineer. Good question: focusing AI on only the firms and signals you care about beats broad news summaries.
Problem: news streams are noisy — you get dozens of stories a day but only a few actually affect your holdings. That’s wasted time and missed opportunities.
Why this matters: timely, relevant alerts improve decision speed and reduce regret. If you cut reading time by 70% and catch the two real events a month that matter to your portfolio, that’s measurable value.
Short lesson: I’ve helped non-technical execs set up portfolio-specific news alerts that reduced false positives by >60% within two weeks by combining simple filters, entity matching, sentiment scoring and a human-review loop.
- What you need
- Your portfolio list (tickers, company names, sectors).
- News sources (RSS feeds, financial news APIs, optional Twitter/X lists) or an aggregator.
- An AI service with text-analysis (GPT-style or enterprise model) and a way to run it (Zapier/Make, small script, or vendor product).
- Delivery channel: email, Slack, SMS, or app notifications.
- How to build it (step-by-step)
- Ingest: Pull headlines and full-text articles in real time from your chosen feeds.
- Normalize: Match mentions to your portfolio (ticker, company aliases). Use exact and fuzzy matching.
- Analyze: Run an AI prompt that (a) summarizes the article, (b) extracts events (merger, earnings, guidance, executive change, regulatory), and (c) scores relevance to each ticker.
- Score & threshold: Apply a relevance score and only alert if above threshold (e.g., score ≥ 0.7) or if event is high-impact (earnings miss, CEO exit).
- Deliver & act: Send concise alert with 2-sentence summary, impact tag, and next-action suggestion to your delivery channel.
- Feedback loop: Allow quick human thumbs-up/down to retrain thresholds and reduce noise.
What to expect: initial false positives while tuning filters, then a steady stream of 5–20 targeted alerts/week depending on portfolio size.
Core AI prompt (copy-paste):
Read the article below. 1) Summarize it in two sentences. 2) List any companies mentioned and map them to these tickers: [AAPL, MSFT, TSLA]. 3) Identify events (earnings beat/miss, guidance change, M&A, management change, regulatory action, product launch). 4) Rate the relevance to each ticker on a 0–1 scale and give a short rationale. 5) Suggest a one-line action (watch, buy-more, sell, investigate) for each relevant ticker.
Variants
- Brief alert mode: require 1-sentence summary and only return events and a single relevance score.
- Deep mode: include extracted quotes, sentiment trend vs. last 30 days, and risk level.
Metrics to track
- Time-to-alert (seconds/minutes).
- Precision of alerts (relevant/total alerts).
- False positive rate and user-dismiss rate.
- Action conversion (alerts that led to portfolio action).
Common mistakes & fixes
- Over-alerting: raise relevance threshold or group similar alerts.
- Noisy sources: prune feeds and add trusted outlets only.
- AI hallucinations: include source excerpt in every alert and require extractive answers (quotes).
- 1-week action plan
- Day 1: List portfolio tickers and decide alert delivery channel.
- Day 2: Connect 3–5 news sources (RSS/APIs).
- Day 3: Implement ingestion and basic matching (exact aliases).
- Day 4: Plug in AI prompt above and test on 20 past articles.
- Day 5: Set thresholds; configure alert format.
- Day 6: Run in parallel with manual review; collect feedback.
- Day 7: Adjust thresholds and go live for limited subset of portfolio.
Your move.