AI-Powered Stock Analysis & Investing

Why AI augmentation, not AI replacement

AI does not pick stocks for you. AI ranks the universe so you spend your screen time on the names most likely to matter. That distinction is the whole TradeDots thesis. Every five to ten minutes the Heat List re-ranks 1,000 US equities against an AI Score that blends technicals, volume, and sentiment. The score is the input to your decision; you are still the trader.

The pillar below collects the analyses and playbooks that show what that augmentation looks like in practice — sector calls, single-stock teardowns, portfolio strategy, and how to read a Heat List rank against your own conviction.

Three levels of stock analysis

Macro-and-sector: what is the regime, where is the rotation, what sector earns the next dollar. The articles in this cluster tagged sector or industry-outlook live here. Pair them with a Heat List filter on the sectors you are leaning into.

Single-stock: the deep dive — fundamentals plus technicals plus catalyst. The TradeDots approach is to use fundamentals to qualify the ticker, then use TradingView indicators and the AI Score to time the entry. Several of the articles in this pillar walk this end-to-end on a specific name.

Portfolio: position sizing, diversification, risk budgeting. The hardest part of any retail track record is what happens after a good trade — the strategy pieces in this cluster cover holding, scaling, and rotating without giving back the edge.

The AI Score in your workflow

Think of the AI Score as a probabilistic prior. A ticker scoring 85 is not a buy signal; it is a ticker the model believes is more likely to outperform than a ticker scoring 35. Your job is to bring the qualitative judgment the model cannot — earnings context, narrative risk, position-sizing discipline, and the trade plan if you are wrong.

Cluster posts below show this pattern applied across growth stocks, dividend stocks, sector plays, and macro-tilt portfolios. Read them as worked examples, not as buy-and-hold tips.

Where to start

If you are new to AI-augmented stock analysis, begin with the introductory pieces on how the AI Score is built and what it does and does not capture. If you are deep in the workflow already, jump into the sector and single-stock teardowns — they are where the framework meets reality.