AI market research built for faster, clearer retail investor decisions.
MarketPicks.ai combines market data, news sentiment, momentum, unusual activity, earnings context, and AI research summaries into a single dashboard. It is designed to explain why stocks are moving without promising outcomes or replacing independent research.
Our research engine processes live price feeds, news sentiment, volatility signals, and historical pattern analysis to surface actionable context for each stock, cryptocurrency, commodity, or futures contract you research. Every signal includes the underlying data sources and reasoning, so you can evaluate the analysis yourself rather than relying on a black box.
MarketPicks.ai was built because retail investors deserve access to the same caliber of market research that institutional investors use. We focus on process and methodology rather than predictions, because the goal is to help you build better research habits, not to tell you what to buy or sell.
Market Context
Price, trend velocity, sentiment, and recent headlines are evaluated together.
AI Research
Bull cases, bear cases, and risk notes are generated from available market signals.
Risk First
Every page states that this is not financial advice and that AI can be wrong.
How the engine actually works
The pipeline is deliberately boring. Scheduled jobs pull quotes, news, earnings dates, and calendar data from public market-data and news providers and cache them so every visitor reads the same underlying numbers. When you open a ticker, the page combines what it has: recent price behaviour, momentum, news sentiment, unusual activity, earnings context, and how the symbol has behaved in similar conditions before. Those inputs are scored, the scores are compared rather than averaged blindly, and the disagreement between them is kept visible instead of hidden inside one confident number.
The written output — the summary, the bull case, the bear case, the risk note — is generated last, from the numbers already computed. It is a translation of the signal into plain English, not the signal itself. That ordering is the point: if the prose and the numbers ever disagree, the numbers came first, and the confidence shown next to a rating is meant to tell you how much of the reading rests on thin or missing data. The methodology page documents what the engine weighs, what it suppresses, and which inputs are good enough to trust in a given market.
What it deliberately does not do
MarketPicks does not route orders, hold funds, connect to your brokerage, or track your portfolio. It has no view of your positions, so it cannot give advice tailored to you, and it will not pretend otherwise. It does not promise returns, rate its own historical calls as proof of future performance, or quietly delete predictions that aged badly — the receipts page keeps the record, including the misses.
A sensible way to use it
Start wide with the heatmap or the trending scanner to see what is actually moving. Narrow to one ticker and read the bull case, the bear case, and the risk note before reading the rating. Check the data timestamp, confirm anything decisive against the primary filing or quote, then decide whether it belongs on your watchlist. Used that way, the engine compresses the reading step of research and leaves the judgement step where it belongs — with you.
Corrections and standards
If a page states something wrong — a stale price, a mislabelled company, an AI summary that misread the data — report it through the contact form with the URL and the value you believe is correct. Corrections are part of the product, not an embarrassment. We do not accept payment for coverage, do not rank anything by who pays us, and label advertising where it appears. Ads are never signals. For the full picture of how signals are built, read the methodology page; for the boundaries on how this site may be used, read the terms of use and the risk disclaimer.