What are predictions?
Every time you log in, Sinalis automatically records which signals are active as timestamped predictions. After 30 days, each prediction is graded against the actual price move using live Yahoo Finance data.

Correct — price moved in the predicted direction by more than 2%.
Partial — price moved in the predicted direction but less than 2%.
Incorrect — price moved against the prediction.

Predictions come from 4 sources: Flagged Stocks (curated), Today's Signals (AI), Asset Search (AI), and Anomaly Detection (price threshold breach). Confidence scores are stored at log time — they reflect what Sinalis knew then, not now.

Why macro matters first Before looking at any individual stock or sector signal, understand the macro environment. A strong dollar, inverted yield curve, and widening credit spreads create a headwind for almost everything. Getting the macro environment right is the foundation every other signal is built on.

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Signal Score (0–100) is a hand-curated, weighted score across 8 dimensions specific to each stock. It measures how strong and aligned the current signals are. It is not a buy/sell recommendation — it reflects signal strength.

80–100: Strong aligned signals — multiple factors pointing the same direction.
55–79: Moderate signals — some supporting evidence but not fully aligned.
Under 55: Weak or conflicting signals — watch for more clarity.

The same underlying signal scores now power both this view and Asset Search, so a ticker reads consistently in both places. Asset Search adds an AI-estimated overall read on top. Research only — not financial advice.

Why this is here: VIX and options positioning reveal market fear levels and where institutional traders are hedging risk. Low VIX means complacency — markets expect smooth sailing. High VIX means panic and forced selling — which historically creates buying opportunities for prepared investors.

⚠️ Important: Options activity can reflect hedging, speculation, or informed positioning — it is never a guaranteed directional signal. Unusual options volume means something significant may be happening, not necessarily that the stock will move in that direction. Always treat options signals as one data point among many. Not financial advice.

Why banking rates matter Interest rates set the cost of money for everyone — mortgages, car loans, business credit, and corporate bonds. When rates rise, borrowing costs go up across the entire economy. When they fall, spending and investment typically expand. These rates directly affect what consumers pay and what companies earn.

Why this is here: Institutional traders are required to report their futures positions weekly. Extreme positioning often precedes reversals — this tells you what the big money is actually doing, not saying. When hedge funds are maximally long a commodity, there's often nobody left to buy.

What is the COT report? Every Friday the CFTC (Commodity Futures Trading Commission) publishes the Commitments of Traders report — showing how large speculators (hedge funds), commercial hedgers, and small traders are positioned across futures markets. When hedge funds are extremely long or short, reversals often follow. This is free government data that most retail investors never see.

How to use this Earnings are the single biggest short-term price mover for individual stocks. The AI preview tells you what consensus expects, what to watch beyond the headline EPS, and what a beat or miss would likely mean for the stock price.

How is this list chosen? ▾

Why sports & events matter to markets Major sporting events and cultural moments drive predictable spending patterns, advertising demand, travel, media consumption, and consumer behavior — all of which show up in earnings. These are not random correlations — they are structural seasonal effects backed by decades of data.

⚠️ Lockup expirations create predictable selling pressure. When a lockup expires, early investors and employees who received shares before the IPO can finally sell. This often creates a stock price dip in the days surrounding expiration — not always, but historically enough to watch closely. This is research only — not financial advice.

Why this matters Most signal tools never follow up. Sinalis grades every prediction after the timeframe expires — right, wrong, early, or right signal wrong stock. Honest tracking builds a better model over time and builds trust with users.