From Headlines to Conviction: How Stock Intelligent Turns News Into Trades
Originally published on ecupse.com . Nothing here is financial advice. The premise is simple: markets move on news, but most news is noise. If a system could read every headline the moment it lands, throw away the 90% that does not matter, and act only on the signal that remains — calmly, consistently, without the fear or greed that trips up humans — what would it do? Stock Intelligent is our…
Stock Intelligent is an automated system that analyzes news to generate simulated trades. The system reads news, weighs it, forms a conviction, and places trades in a paper portfolio. It starts by continuously pulling company news for the stocks it follows, enriched with sentiment and context from a second data source. Articles are then filtered through a series of gates to separate signal from noise, considering factors like relevance, sentiment, and content.
The articles that pass the filters are analyzed by a large language model to understand the meaning for the stock, producing a structured read with sentiment, price impact, and confidence. The system also checks if the news is already priced in. A conviction score is formed from all recent, weighted signals, determining the action to take - from holding to exiting the position.
Before any trade is placed, the signal must clear safety gates checking for overtrading, price drift, and cash reserve. Only signals that pass all gates are executed in the shadow trading engine, which simulates trades with live market prices using simulated money.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
