AI Data Sources
RightStockAI reports are built from available market, stock, financial, news, chart, and portfolio context. This page explains the kinds of information users may see in reports and how to judge whether a result is fresh enough to rely on.
Not every report uses every input. Always read the specific page you are viewing.
Main Data Categories
Price and Volume Context
Price and volume help reports understand how a stock is moving.
Common examples:
- Latest available price.
- Daily change and percentage movement.
- Trading volume.
- High and low ranges.
- Chart trend.
- Support and resistance areas.
How to use it:
- A price move with higher volume may deserve closer review.
- A price move without volume may be less convincing.
- A report can become stale when price has moved a lot after it was generated.
Market and Index Context
Broad market context helps explain whether a stock is moving alone or with the market.
Examples:
- NIFTY 50 or BSE SENSEX direction.
- BANK NIFTY or sector index movement when available.
- Market open or closed state.
- Gainers, losers, and active-volume names.
- Market breadth such as advances and declines.
How to use it:
- If the whole market is weak, a single stock's decline may not be company-specific.
- If a stock rises while the market is weak, it may deserve deeper research.
- If a whole sector is moving, compare the stock with peers before forming a view.
Fundamental and Company Context
Fundamental context helps explain the company behind the stock.
Examples:
- Revenue, profit, and margins when available.
- Valuation ratios.
- Debt and cash-flow context.
- Market capitalization.
- Financial health indicators.
- Company or business profile information.
How to use it:
- Strong company context can support a longer-term thesis.
- Weak financial context can make a strong chart more fragile.
- Valuation context helps avoid treating every good company as automatically attractive.
Technical and Chart Context
Technical context helps interpret price structure.
Examples:
- Trend direction.
- Momentum indicators.
- Moving averages.
- Support and resistance.
- Volatility.
- Chart-pattern setups.
- Breakout, breakdown, target, and invalidation levels when available.
How to use it:
- Technical context is useful for timing and structure.
- It should be compared with fundamentals and news.
- Chart levels are reference points, not guaranteed future prices.
News and Sentiment Context
News context helps explain recent movement or report disagreement.
Examples:
- Recent company news.
- Sector news.
- Earnings or result-related updates.
- Regulation or policy-related updates.
- Positive, negative, or mixed sentiment summaries.
- Catalyst and risk-event notes.
How to use it:
- Recent news can change the meaning of an older report.
- Repeated articles about the same event should not be treated as many separate catalysts.
- Thin news coverage means the report may have less context than usual.
Portfolio Context
Portfolio context is relevant when you use holdings or portfolio analysis tools.
Examples:
- Holdings and quantities.
- Purchase prices.
- Allocation by stock or sector.
- Portfolio value.
- Saved portfolio reports.
- Concentration or exposure notes.
How to use it:
- A good stock can still increase portfolio risk if you already own similar stocks.
- Saved portfolio reports should be checked against current holdings.
- Portfolio analysis depends on accurate holdings data.
Data Freshness
Always check freshness before relying on a report.
Important freshness questions:
- When was the report generated?
- Has the stock moved sharply since then?
- Has new company or sector news appeared?
- Is the market currently open or closed?
- Did your portfolio holdings change after the saved report?
If the answer to any of these is yes, compare a newer view or generate a fresh report when your plan allows it.
Why Two Pages May Show Different Context
Different tools answer different questions.
| Tool | Data emphasis |
|---|---|
| Traditional Analysis | Fundamentals, technical context, valuation, risk, analyst-style summary. |
| Basic AI Analysis | Fast AI-assisted first read. |
| Advanced AI Analysis | Deeper AI-assisted explanation, confidence, reasons, and risk notes. |
| Smart AI Analysis | Blended Traditional, AI Predictive, and Sentiment inputs. |
| AI News | Recent news, catalysts, and sentiment context. |
| Chart Pattern Analysis | Price structure, patterns, levels, and invalidation context. |
| Portfolio Analysis | Holdings, allocation, concentration, and portfolio-level risk. |
A disagreement does not mean one page is broken. It usually means the tools are weighing different evidence.
Data Limitations
RightStockAI can only analyze available information.
Common limitations:
- Some companies have less available information than others.
- News can appear after a report is generated.
- Market data can update between refreshes.
- Reports can become stale after large price movement.
- Financial statements are released periodically, not every minute.
- AI summaries can miss nuance in unusual situations.
How Users Should Respond
Use this simple checklist:
- Confirm the stock name and symbol.
- Check report date or last update time.
- Read the summary.
- Read the supporting reasons.
- Read the risk notes.
- Compare another tool if the decision matters.
- Use portfolio context before acting on a stock you own.
Privacy Note
Do not share screenshots that expose email addresses, magic links, payment details, holdings, or private reports. If support asks for a screenshot, crop or hide sensitive details first.