Blog

Guides and product thinking on AI-powered investment analysis — how multi-agent systems read markets, write theses, and help you decide with clearer context.

• July 20, 2026AI analysisinvestingbeginners

  What Is AI Stock Analysis? A Practical Guide

  How AI stock analysis works, what data it uses, and how to use multi-agent systems without treating model output as financial advice.

• July 18, 2026multi-agentproductinvesting

  How Multi-Agent Investment Memos Work

  Why Almorex runs several AI agents in parallel — fundamentals, technicals, sentiment, valuation, risk, and a portfolio-style synthesis — instead of one generic chat reply.

• July 15, 2026earningsworkflowAI analysis

  Reading Earnings Season with AI

  A practical workflow for using AI during earnings season — triage headlines, compare reaction vs thesis, and keep human judgment on the numbers that matter.

• July 14, 2026watchlistportfoliobeginners

  Building a Stock Watchlist That Actually Gets Used

  How to build a focused stock watchlist, avoid ticker sprawl, and use AI analysis so every name earns its place.

• July 13, 2026technicalsRSIMACD

  RSI and MACD Explained for AI-Assisted Investing

  A plain-English guide to RSI and MACD — what they measure, common pitfalls, and how to read them alongside an AI investment memo.

• July 12, 2026sentimentnewsinvesting

  Sentiment Analysis for Stocks — What It Can and Cannot Tell You

  How news and market sentiment analysis works for equities, common biases, and how to combine sentiment with fundamentals and technicals.

• July 11, 2026fundamentalstechnicalsinvesting

  Fundamental vs Technical Analysis — You Need Both

  Why fundamental and technical analysis answer different questions, and how multi-agent AI can keep both in the same investment memo.

• July 10, 2026AI analysisworkflowrisk

  How to Read an AI Investment Memo Without Getting Fooled

  A checklist for reading AI-generated stock research — confidence scores, agent disagreement, data freshness, and what to verify yourself.

• July 9, 2026riskportfoliobeginners

  Position Sizing Basics for Retail Investors

  Simple position sizing rules for retail investors — risk per trade, portfolio concentration, and why AI confidence is not a sizing formula.

• July 8, 2026growthvalueinvesting

  Growth vs Value Investing in the Age of AI Research Tools

  How growth and value styles differ, what AI research tools change, and how to keep your process consistent across market regimes.

• July 7, 2026sectorsmacroportfolio

  Sector Rotation — A Practical Framework for Watchlists

  A practical framework for thinking about sector rotation, relative strength, and keeping your watchlist aligned with the macro regime.

• July 6, 2026dividendsincomechecklist

  Dividend Investing Checklist for Busy Investors

  A practical dividend investing checklist — yield traps, payout safety, dividend growth, and how AI research can speed due diligence.

• July 5, 2026ETFsstocksportfolio

  ETF vs Individual Stocks — When Each Makes Sense

  Compare ETFs and individual stocks for diversification, costs, taxes, and research workload — and when AI stock analysis is worth the effort.

• July 4, 2026volatilitypsychologyrisk

  Managing Volatility Without Abandoning Your Thesis

  Practical ways to handle stock volatility — pre-commit rules, thesis reviews, and using AI memos to separate noise from invalidation.

• July 3, 2026catalystsearningsresearch

  Catalyst-Driven Investing — A Research Template

  A simple template for catalyst-driven stock research — event map, base rates, and how to use AI ahead of earnings, FDA dates, and product launches.

• July 2, 2026valuationfundamentalsbeginners

  Understanding P/E, PEG, and When Multiples Mislead

  How to use P/E and PEG ratios responsibly — cycle adjustments, growth assumptions, and why cheap multiples are not always bargains.

• July 1, 2026insidersfundamentalsdata

  Insider Activity — Signal, Noise, and Context

  How to interpret insider buying and selling — clustering, routine sales, and why insider data works best as confirmation, not a standalone strategy.

• June 28, 2026journalpsychologyprocess

  Building an Investment Journal That Improves Decisions

  How to keep an investment journal that actually improves decisions — thesis snapshots, emotion tags, and linking AI memos to outcomes.

• June 25, 2026psychologybiasesinvesting

  Common Behavioral Biases in Stock Investing

  Confirmation bias, loss aversion, anchoring, and recency bias — how they show up in stock decisions and how process (and AI checklists) can counteract them.

• June 22, 2026peersresearchvaluation

  How to Compare Stocks in the Same Sector

  A step-by-step approach to comparing peer stocks — shared drivers, relative valuation, quality, and using AI for consistent side-by-side memos.