Finalle.ai

Finalle.ai does one thing and does it legibly: it turns a financial news wire into a scored, sortable table. Each row is a ticker, a type, a timestamp, a title, a sentiment score out of five, a significance score out of five, and the market context — price, percent change, market cap, volume, EPS, P/E. In the scrape, DKNG at $22.02 (+3.53%, $10.92B market cap, 20.45M volume, EPS 0.68, P/E 32.38) scores 4/5 sentiment and 2/5 significance, while Eli Lilly at $1,183.72 (+0.15%, $1.11T market cap, EPS 31.49, P/E 37.59) scores 2/5 and 2/5. That contrast is the product's entire argument: two headlines, same day, very different signal, and you can see it in a glance rather than reading both stories. Strengths: the significance score is the differentiating idea. Most sentiment tools give you bullish/bearish and stop; adding an impact rating lets you separate a noisy 4/5-bullish micro-cap story from a genuinely market-moving event. The filter set backs it up — sentiment, significance, type, and price alongside change percent, market cap, volume, EPS and P/E — with a one-click Clear Filters, so you can build a narrow view (high significance, bullish, large cap) and reset it without friction. Market data inline with the headline removes the alt-tab to your broker for context, and multi-asset coverage across listed instruments means it isn't a single-exchange tool. Weaknesses and honest boundaries: the feed is the product, so anything downstream of the headline is out of scope. There is no charting, no historical backtesting, no fundamentals workbench, no portfolio accounting. The output is a 1-to-5 number, which means you are trusting the scoring model's calibration — and the tool gives you no visible way to audit how a score was derived. Anyone treating a 4/5 sentiment print as an instruction rather than a filter is misusing it. This is also a headline-density tool: it rewards people who already know what a P/E of 37 or a $1.11T market cap implies, and it will be close to useless to someone who doesn't. Where it fits: a trader's pre-open scan, an analyst's morning triage of a crowded wire, a PM's quick sanity check on why a name is moving. Where it doesn't: as your only market data source, as a research archive, or as a signal generator you pipe straight into a strategy without your own validation layer.