Frequently Asked Questions

Welcome to our FAQ section, where we answer the questions everyone asks but few have the courage to voice. From “Is this actually financial advice?” to “Why so sarcastic?”, we’ve got you covered.

About Deep Analyst

What is Deep Analyst?

Deep Analyst is an AI-powered financial analysis platform that creates comprehensive stock research reports. We combine sophisticated artificial intelligence with real-time market data to produce insights that are both analytically rigorous and refreshingly readable. Think of us as your nerdy friend who actually knows finance and isn’t afraid to tell you when a stock is overpriced.

Who created Deep Analyst?

Deep Analyst was created by a team that got tired of reading boring financial reports filled with jargon that nobody understands. Our AI is trained on vast amounts of financial data and market analysis, but with a personality that makes complex topics actually enjoyable to read.

Why the sarcastic tone?

Because finance is already stressful enough without being boring too. Our sarcasm serves a purpose: it keeps you engaged while delivering serious analysis. We’ve found that people remember insights better when they’re entertained, and let’s face it - the financial world gives us plenty of material to work with.

Is Deep Analyst actually powered by AI?

Yes, absolutely. Our content is generated by a sophisticated multi-agent AI system that uses advanced language models, real-time data feeds, and comprehensive fact-checking protocols. You can read about our full technology stack on our Technology page and our analytical approach on our Methodology page.

About Our Analysis

Is this financial advice?

NO. We cannot stress this enough. Deep Analyst provides educational content and entertainment, not personalized financial advice. We’re like that friend who knows a lot about stocks and has strong opinions, but you still need to do your own research and consult with qualified financial professionals before making investment decisions.

How accurate are your predictions?

We aim for accuracy, but we’re not fortune tellers. Our AI analyzes current data and historical patterns to make informed predictions, but markets are inherently unpredictable. We track our performance over time and continuously improve our models, but past performance doesn’t guarantee future results (shocking, we know).

How often do you update your analysis?

We generate new analysis continuously as market conditions change and new data becomes available. Our AI monitors multiple data sources in real-time and can produce updated reports as needed. However, we recommend viewing our analysis as snapshots in time rather than continuously evolving predictions.

What data sources do you use?

We pull from multiple reliable sources including:- Yahoo Finance for real-time stock data

• Tavily API for current news and market sentiment
• Financial statements and SEC filings
• Multiple financial data providers for comprehensive coverage
• Real-time news feeds and market commentary

Do you analyze all stocks or just large caps?

Currently, we focus primarily on S&P 500 companies and other large-cap stocks with sufficient data availability. Our AI needs comprehensive data to produce quality analysis, so we stick to stocks with robust information coverage. We may expand to smaller companies as our capabilities evolve.

Technical Questions

How does your AI actually work?

Our AI uses a multi-agent system where specialized AI agents handle different aspects of analysis:

• Research agents gather and validate data
• Content planning agents structure the analysis
• Writing agents create readable content
• Editor agents review for accuracy and quality
• Fact-checking agents verify all claims

Each agent is optimized for its specific task, and they work together to produce comprehensive analysis. You can read the full technical details on our Technology page.

What makes your AI different from other financial analysis tools?

Three main things:

1. Multi-agent architecture: Instead of one AI trying to do everything, we have specialized agents that excel at specific tasks
2. Real-time fact checking: Every claim is automatically verified against multiple data sources
3. Personality and readability: We prioritize making complex analysis actually enjoyable to read

Can I request analysis of specific stocks?

Currently, our AI generates analysis based on various selection criteria (random picks, alphabetical processing, trending stocks, etc.). We don’t yet have a public system for individual stock requests, but this is something we’re considering for the future.

How do you ensure data accuracy?

We use a multi-layered validation process:

• Data is sourced from multiple reliable providers
• Our fact-checking agents verify all numerical claims
• Claims are cross-referenced against original sources
• We maintain strict quality gates throughout the analysis process
• All sources are properly cited for transparency

Investment and Risk

What’s your investment philosophy?

We believe in data-driven analysis combined with healthy skepticism. Markets are driven by both rational factors and human psychology, so our analysis considers both quantitative metrics and qualitative factors. We’re neither permabulls nor permabears - we follow where the data leads.

How should I use your analysis in my investment decisions?

Think of our analysis as one input among many in your decision-making process:

1. Starting point: Use our analysis to identify interesting opportunities or concerns
2. Additional research: Dig deeper into companies that interest you
3. Professional consultation: Discuss findings with qualified financial advisors
4. Personal situation: Consider your own risk tolerance, timeline, and financial goals
5. Diversification: Never put all your eggs in one basket, no matter how compelling the analysis

What are the biggest risks of following AI-generated analysis?

Several important risks to consider:

• Data dependency: AI analysis is only as good as the underlying data
• Model limitations: AI can miss context or make incorrect assumptions
• Market unpredictability: No analysis can predict black swan events or market irrationality
• Overconfidence bias: Compelling analysis might make you overconfident in predictions
• Lack of personalization: Our analysis doesn’t consider your specific financial situation

Do you provide portfolio management services?

No, we’re purely an analysis and educational platform. We don’t manage money, provide personalized advice, or handle any financial transactions. We create content to help you make more informed decisions, but the decisions themselves are entirely yours.

Content and Updates

How can I stay updated with new analysis?

Currently, the best way is to bookmark our site and check back regularly. We’re working on newsletter and RSS feed options to make it easier to stay updated with our latest analysis.

Can I share your analysis?

Yes! We encourage sharing our content for educational and discussion purposes. Just please maintain proper attribution and don’t present our analysis as your own. Also remember to include our disclaimer that this isn’t financial advice.

Do you take feedback or suggestions?

Absolutely! We’re constantly working to improve our analysis and presentation. While we can’t respond to every piece of feedback individually, we do read everything and use it to enhance our AI and content quality.

Will you add more types of analysis?

We’re always looking to expand our capabilities. Potential future additions might include:

• Options analysis
• Sector rotation insights
• Macro-economic analysis
• International markets
• Cryptocurrency analysis
• Portfolio optimization tools

Privacy and Data

Do you track my reading habits?

We use standard web analytics to understand which content is most helpful and how to improve our site. We don’t track your personal financial information or investment decisions. See our Privacy Policy for complete details.

Do you sell user data?

No, never. We don’t collect sensitive personal information, and we don’t sell any data to third parties. Our business model is based on providing valuable content, not monetizing user data.

Is my information secure?

Yes. We use standard security practices including HTTPS encryption and don’t store sensitive personal information. Our AI analyzes public market data, not private user information.

Troubleshooting

Why does some analysis seem outdated?

Financial markets move quickly, and analysis that was accurate yesterday might be less relevant today. Always check the publication date of our analysis and consider whether any major events have occurred since then.

What if I find an error in your analysis?

Please let us know! While our AI has multiple quality checks, errors can still occur. We take accuracy seriously and investigate all reported issues.

Why can’t I find analysis for a specific stock?

We focus on companies with sufficient data coverage and market significance. If you can’t find analysis for a particular stock, it might be because:

• The company is too small for reliable analysis
• Insufficient public data available
• The stock isn’t in our current coverage universe
• We haven’t analyzed it yet (but might in the future)

The Fine Print

What’s your liability for investment losses?

Zero. None. Nada. We provide educational content and entertainment, not investment advice. Any investment decisions you make are your responsibility, and you bear all the risks and rewards of those decisions.

Can your analysis be wrong?

Yes, absolutely. Markets are unpredictable, data can be misleading, and even sophisticated AI can make mistakes. We strive for accuracy but make no guarantees about the correctness of our analysis or predictions.

Do you have any conflicts of interest?

We don’t own positions in the stocks we analyze (our AI doesn’t have a brokerage account). We don’t receive compensation from companies for positive coverage. Our only interest is in providing useful, accurate analysis to help readers make informed decisions.

How do you make money?

Currently, Deep Analyst is a passion project focused on demonstrating AI capabilities in financial analysis. We may explore monetization options in the future, but any revenue model will prioritize maintaining our independence and analytical integrity.

Still Have Questions?

How can I contact you?

You can reach us through our website contact form. We read all messages but may not be able to respond to every inquiry individually due to volume.

What if my question isn’t answered here?

Check our Methodology page for details about our analytical approach, our Technology page for technical information, or our About page for general information about Deep Analyst.

Can I contribute to Deep Analyst?

We’re always interested in hearing from people with expertise in finance, technology, or content creation. While we don’t currently have formal contribution processes, feel free to reach out with your background and interests.

The Bottom Line

Deep Analyst exists to make financial analysis more accessible, accurate, and entertaining. We use advanced AI to process vast amounts of data and present it in a way that’s actually enjoyable to read. But at the end of the day, we’re a tool to help inform your decisions, not make them for you.

Remember: Investing involves risk, markets are unpredictable, and even the best analysis can’t eliminate the possibility of losses. Use our content as one input among many, do your own research, consult with professionals, and never invest more than you can afford to lose.

And yes, we really are this sarcastic in person too.