AIQ Score
A composite stock signal across momentum, valuation, quality, and risk.
AI Stock Signals
AIQ turns stock data into a plain-English signal using momentum, valuation, quality, risk, and market context. Start with a ticker, compare alternatives, then decide what deserves deeper research.
A composite stock signal across momentum, valuation, quality, and risk.
Plain-English reasoning that explains why a stock setup is strengthening or weakening.
Side-by-side stock comparisons for investors choosing between two names.
An AI stock signal is a data-driven verdict on whether a stock has a stronger Buy, Hold, or Sell setup at the current moment. Unlike a traditional analyst rating, it is generated from quantitative inputs — price momentum, earnings quality, valuation multiples, and risk metrics — without human recency bias or coverage gaps.
AIQ signals are designed for the first filter, not the last word. They answer the question investors ask before deep research: does this stock deserve attention right now? The signal is refreshed from live market data so it reflects current conditions, not a six-month-old thesis.
Quick reference
AIQ scores each stock across four independent factors, then combines them into a single composite signal. Each factor is scored relative to peers so the result is always a ranking, not an absolute judgment. A stock with a 75 AIQ Score is in the top quartile of its peer universe — stronger on balance than 75% of comparable names.
Measures price trend strength and direction across short and medium timeframes. Strong momentum means a stock is outperforming peers on a risk-adjusted basis — not just moving up, but moving up relative to the market and sector.
Compares the stock's current price to fundamentals including earnings, revenue, and free cash flow. High valuation scores indicate the stock is attractively priced relative to peers — low scores flag stretched multiples that raise the cost of being wrong.
Evaluates business durability through margin stability, earnings consistency, and balance sheet health. High-quality companies sustain performance across cycles; low-quality companies often have structural weaknesses that only become visible under pressure.
Quantifies downside exposure through volatility, earnings surprise history, and macro sensitivity. A lower risk score means the stock historically moves violently or unpredictably. Higher risk scores indicate more controlled, lower-variance behavior.
The composite AIQ Score is not a simple average — factors are weighted based on market regime and sector context so the signal reflects what actually drives returns in the current environment.
The AIQ Score runs from 0 to 100. The Buy/Hold/Sell label is derived from the score but adjusted for sector context and factor composition — so two stocks with the same score can have different labels if one is in a high-momentum sector and the other is in a defensive one.
| AIQ Score Range | Signal | What it means |
|---|---|---|
| 70 – 100 | Buy setup | Strong on balance across most factors. Warrants research priority. |
| 40 – 69 | Hold setup | Mixed signals. Factor context determines whether this is a patient Hold or an exit to consider. |
| 0 – 39 | Sell setup | Weak on most factors relative to peers. Risk of further underperformance is elevated. |
When you are deciding between two names — NVDA or AMD, GOOGL or MSFT — the comparison view shows where the edge actually comes from. Instead of just comparing prices or P/E ratios, you get the full factor breakdown side by side: which stock has stronger momentum, which is better valued, which is higher quality, and which carries less risk.
Go to a compare page
Navigate to /compare/[left]-vs-[right], such as /compare/nvda-vs-amd. The page loads both AIQ Scores and factor spreads automatically.
Read the factor spreads
Each factor shows a spread — the gap between the two stocks' scores on that dimension. A +20 momentum spread means one stock is materially stronger on trend.
Check the edge summary
The page synthesizes which stock has the more durable advantage and what conditions would change that verdict.
Decide and dig deeper
Use the compare verdict as a starting filter. If the edge is clear, go to the winner's AIQ page for full signal context before making a position decision.
An AI stock signal is a data-driven verdict on whether a stock has a stronger Buy, Hold, or Sell setup at the current moment. Unlike analyst ratings, an AI stock signal is updated continuously from quantitative inputs — momentum, valuation, quality, and risk — without human recency bias.
The AIQ Score is a composite signal from 0 to 100 that summarizes a stock's current setup across four factors: momentum, valuation, quality, and risk. Scores above 70 generally indicate a stronger Buy setup; scores below 40 indicate a weaker or Sell-tilted setup. Scores in between are Hold territory, where context matters most.
Analyst ratings are point-in-time opinions that may go months without an update. The AIQ signal is recalculated from fresh market data and updates as conditions change. It also shows the factor-level reasoning behind the signal — you can see whether a Sell setup is driven by momentum decay, valuation risk, or deteriorating quality.
Go to a /compare page such as NVDA vs AMD. The comparison shows AIQ Score spreads, factor-by-factor differences, market context for each stock, and an edge summary that tells you where one stock is materially stronger than the other. This is designed for investors choosing between two names, not for predicting short-term price moves.
AIQ covers US-listed equities across all major sectors. You can search any ticker in the screener or go directly to /algoiq/[ticker]. Signals are most meaningful for liquid, exchange-traded stocks with sufficient price and earnings history.
Momentum in AIQ measures how a stock is trending relative to the broad market and its sector peers, not just whether it went up. A stock that rose 5% while its sector rose 20% has weak relative momentum even though its absolute return was positive.
AIQ is designed for the first decision investors make: whether a stock deserves attention right now. The platform combines signal strength, factor context, and comparison workflows so research starts with a clear verdict instead of another spreadsheet.