StockGenie
Your Daily AI Market Whisper
Learn more
↓
Your Daily AI Market Whisper
Every weekday morning, our advanced AI analyzes thousands of data points to identify stocks with the highest potential for growth. Get actionable insights delivered straight to your device before the market opens.
Get instant access to our top AI-selected stock every trading day, completely free. No required subscriptions, no hidden fees. Just pure market intelligence delivered with precision and clarity.
Unlock the full power of StockGenie. Get the top five picks on each trading day, track AI performance over the last 7 days, and make smarter investment decisions.
Every trading day, our AI-powered system processes vast amounts of market data from multiple sources and distills it into a single, actionable recommendation.
We aggregate market signals from financial newspapers, analyst reports, and financial article feeds across multiple providers.
Every article is embedded into a 384-dimensional vector. Near-identical syndicated reposts collapse into a single story, and articles are ranked by relevance to each company's thesis — no keyword matching, no random sampling.
We cluster the day's coverage and measure how tightly it focuses on a single story. One tight cluster across many sources is the real "strong narrative" signal — scattered chatter is noise.
We weight quality signals over raw volume, penalize mega-caps to surface hidden gems, and boost stocks with focused, high-concentration narratives.
The top-ranked stock is delivered to your phone at 9AM EST on trading days. Premium subscribers get the full top-5 list at the same time.
// 1. Embed every article once (Cloudflare Workers AI, bge-small-en-v1.5)
const vectors = await embed(articles.map(a => a.title + a.summary));
// 2. Collapse syndicated reposts (cosine ≥ 0.88 = same story)
const unique = dedupByCosine(articles, vectors, 0.88);
// 3. Cluster what's left → narrative concentration (0..1)
const clusters = clusterByCosine(unique, 0.78);
const narrativeConc = 1 - (clusters.length - 1) / (unique.length - 1);
// 4. Rank "top reasons" by relevance to the ticker thesis,
// not by random sampling
const anchor = await embed([ticker + " " + sector + " outlook"]);
const topReasons = unique
.map(a => ({ a, sim: cosine(a.vec, anchor) }))
.sort((x, y) => y.sim - x.sim)
.slice(0, 3);
// 5. Combined score uses the measured narrative signal
let score = (confidence × 0.45)
+ (sentiment × 0.20)
+ (narrativeConc × 0.20)
+ (qualitySources × 0.05);
if (isMegaCap) score *= 0.75; // -25%: deprioritize obvious picks
if (isSmallCap) score *= 1.35; // +35%: surface hidden gems
if (isPurePlay) score *= 1.30; // +30%: focused exposure