StockScreen.artKnowledge Base

How should I use StockScreen.art? #

A practical workflow starts with the Market Screener, moves into MarketEngine™ for individual ticker analysis, compares multiple opportunities, reviews AlphaEngine™ weekly quantitative stock rankings and ends with an independent investment decision. When a concept is unfamiliar, the Foundation Path provides a structured explanation before the user returns to the research workflow.

The Market Screener helps users discover research candidates. MarketEngine™ explains one ticker in detail. Comparing opportunities helps users evaluate relative strength, expected upside and risk/reward across candidates. AlphaEngine™ provides a weekly ranked view of selected U.S. equities. The final decision should always include independent research, personal risk assessment and judgment.

What is MarketEngine™? #

MarketEngine™ is StockScreen.art's real-time technical research engine for individual stock analysis. It evaluates one ticker at a time using technical indicators, expected upside, quality ratings, confidence, probability, market regime analysis and risk/reward levels.

MarketEngine™ is designed for detailed ticker research on the Stock Analysis page. It helps users understand the current technical setup, not simply whether a ticker has gone up or down recently. Readers who want the broader conceptual explanation can first review how AI stock analysis works, then return to MarketEngine™ to analyze a specific ticker.

How does MarketEngine™ analyze stocks? #

MarketEngine™ reviews trend, momentum, moving averages, volatility, relative strength, expected upside, market regime, technical quality and risk/reward to produce structured research output.

These inputs are evaluated together. A ticker may score well in one area and poorly in another, which is why the final output should be read as a synthesis of several technical conditions.

Why doesn't MarketEngine™ rely on one indicator? #

Single indicators can be noisy or incomplete. MarketEngine™ uses multiple signals so a recommendation-style output reflects broader evidence rather than one isolated data point. This multi-signal approach is one of the distinctions explained in the broader AI stock analysis methodology guide.

For example, momentum can look strong while risk/reward is unattractive, or a moving average trend can look healthy while expected upside is limited. Multiple indicators help show those tradeoffs.

Why can recommendations, targets and prices change? #

Recommendations, targets and prices can change because market data changes. Price movement, volatility, trend structure, momentum, relative strength and market regime can improve or weaken from one refresh to the next.

Targets can also change because model-generated levels depend on current reference price, volatility and technical structure. Price differences may occur when data refresh timing differs between views.

Why can two similar companies receive different recommendations? #

Two similar companies can receive different recommendations because their current price action, volatility, trend strength, expected upside, risk/reward and relative strength may be different.

The platform evaluates the current technical setup of each ticker. Similar businesses can have very different charts, momentum profiles and downside risk at the same time.

What is Quality Hold? #

A Quality Hold indicates strong technical quality but insufficient current expected upside or risk/reward to qualify as a Buy or Strong Buy.

Quality Hold exists because quality and opportunity are not the same thing. A strong company or strong chart may still be too extended, too close to its target or unattractive from a risk/reward perspective.

Why does StockScreen.art use Quality Hold instead of simply Hold? #

StockScreen.art uses Quality Hold to separate strong technical quality from current opportunity timing. A ticker can have a strong technical structure while lacking enough expected upside or risk/reward for a Buy or Strong Buy.

A simple Hold label can hide that distinction. Quality Hold tells users that the technical quality is notable, but the current setup may not offer enough reward relative to risk.

What is the difference between a Recommendation and a Quality Rating? #

A Recommendation describes opportunity timing, while a Quality Rating describes the underlying technical quality of the stock. A high-quality stock can still lack enough upside to qualify as Buy or Strong Buy.

This distinction helps users avoid treating every technically strong stock as an immediate opportunity. Quality Rating asks how strong the setup is. Recommendation asks whether the current setup also offers enough upside and risk/reward.

What is Expected Upside? #

Expected Upside estimates the percentage difference between the current reference price and the model-generated target. It is intended as a research comparison metric, not a prediction or guarantee.

Expected Upside helps users compare opportunities on a consistent basis. It should be interpreted alongside technical quality, risk/reward, confidence and market regime rather than in isolation.

Why isn't Expected Upside a prediction? #

Expected Upside is not a prediction because it describes the distance between a current reference price and a model-generated target under current technical conditions. It does not mean the target will be reached.

Price, volatility, trend, market regime and risk/reward can change. When those inputs change, Expected Upside can change as well.

What do confidence and probability mean? #

Confidence reflects how strongly technical signals agree with one another. Probability is a research estimate based on the overall signal mix. Neither should be treated as a guarantee.

Confidence can be higher when trend, momentum, relative strength and risk/reward are aligned. Probability should be read as decision support, not as certainty.

What do entry, target and stop levels mean? #

Entry is the current reference area, target is a model-generated upside level and stop is a risk-management reference level. These levels help users compare potential reward and downside.

The levels are research references. They are not instructions to trade, and they may change when price, volatility or technical structure changes.

Why do Buy and Strong Buy require upside thresholds? #

Buy and Strong Buy require upside thresholds because strong technical quality alone is not enough. The platform also checks whether the current setup offers enough expected upside and acceptable risk/reward.

A Strong Buy represents one of the highest-ranked opportunities identified by the platform after evaluating multiple technical factors. The threshold helps separate strong quality from a current research opportunity.

What is StockScreen.art Learning? #

StockScreen.art Learning is the educational side of the platform. It explains how markets, instruments, valuation, technical analysis, derivatives, portfolio risk and economic forces fit together so users can understand the concepts behind the research tools rather than simply reading outputs.

The emphasis is practical understanding in plain English, supported by examples, graphics and connected concepts. Learning content is educational and does not provide personalized financial advice.

What is the Foundation Path? #

The Foundation Path is the first structured StockScreen.art Learning curriculum. It builds from fundamental market mechanics into valuation, stock analysis, derivatives, portfolio risk and real-world market behavior.

Lessons are designed to work in sequence, but each topic also has its own stable page so users can jump directly to a concept when they need a refresher while using StockScreen.art research tools.

How many lessons are in the Foundation Path? #

The Foundation Path contains 36 lessons across six modules. The curriculum progresses from how markets and financial instruments work through valuation, stock analysis, derivatives, portfolio and risk concepts, and finally the economic forces that influence real-world markets.

Browse the complete curriculum on the Foundation Path overview.

How does StockScreen.art Learning relate to AlphaEngine™? #

AlphaEngine™ applies quantitative research methods; StockScreen.art Learning explains many of the concepts underneath those methods. Users can move from an AlphaEngine™ term or ranking into a lesson, understand the concept, and then return to the research output with better context.

Particularly relevant lessons include How Stock Screening Works, Understanding Relative Strength, Volume, Breakouts and Confirmation, Risk/Reward and Position Planning, Position Sizing and Economic Cycles and Market Regimes.

Is the Foundation Path free to read? #

Yes. The current Foundation Path lessons are publicly available to read without a paid subscription. Registration is used for protected StockScreen.art features such as AlphaEngine™ and will also provide the user identity needed for assessment and certificate eligibility once certification is live.

What is the most important reminder? #

No model predicts the future, no recommendation guarantees success and independent research remains essential. StockScreen.art is designed to organize research and compare opportunities using a consistent methodology.

Use the platform as decision support. Review the About page for platform context, visit the Home page to begin screening, read the AI stock analysis guide for a focused explanation of AI-assisted stock research, follow the Foundation Path for structured market education, read the Blog for educational research context, use MarketEngine™ for individual ticker analysis and contact StockScreen.art with platform questions.