Legal Disclaimer

1. Not Financial or Investment Advice

All content published on this website — including but not limited to research articles, case studies, quantitative analyses, model outputs, scenario forecasts, Monte Carlo simulations, regime assessments, and investment commentary — is provided for informational and educational purposes only.

None of the content on this website constitutes, or should be construed as:

• Financial advice or investment advice of any kind
• A recommendation, solicitation, or offer to buy or sell any security, asset, fund, or financial instrument
• Legal, tax, accounting, or regulatory advice
• A guarantee of future performance or investment outcome
• An endorsement of any specific company, product, or investment strategy

You should always consult a qualified, licensed financial adviser before making any investment decision. VinePeak does not hold a securities licence, investment adviser registration, or any equivalent regulatory authorisation in any jurisdiction.

2. Not a Solicitation or Offer

This website does not constitute a public offering, private placement memorandum, or solicitation of investment in any fund, vehicle, or managed account. Any reference to investment strategies, portfolio construction, or capital allocation is purely descriptive and illustrative.

VinePeak does not currently manage third-party capital, accept client funds, or operate as a registered investment adviser. Nothing on this site should be read as an invitation to invest alongside VinePeak or to entrust capital to any person or entity associated with VinePeak.

3. No Warranty of Accuracy or Completeness

While VinePeak makes reasonable efforts to ensure the accuracy of information presented, all content is provided "as is" without warranty of any kind, express or implied. VinePeak makes no representation as to:

• The accuracy, completeness, or timeliness of any data, price, or model output
• The fitness of any analysis for any particular purpose
• The reliability of third-party data sources referenced or used in research

Market data, price information, and financial statistics cited on this site may be delayed, estimated, or sourced from third-party providers. Always verify data independently before relying on it.

4. Use of Synthetic Data and Quantitative Models

Research published on this site — including the case studies — uses synthetic news data generated by computational methods (Latin Hypercube Sampling, language model templates) and quantitative models (Hidden Markov Models, Monte Carlo simulation, embedding-based regime detection). These are not based on real news events unless explicitly stated.

Model outputs, including probability distributions, scenario forecasts, directional accuracy figures, and regime classifications, are the product of mathematical models operating on historical data. They are inherently subject to:

• Model misspecification and parameter estimation error
• Overfitting to historical regimes that may not repeat
• Structural breaks and tail events not captured in the training window
• Synthetic data bias — news templates do not reflect real information flows

Past model performance, including walk-forward accuracy statistics, does not guarantee future predictive power. All probabilistic forecasts represent a range of possible outcomes, not a prediction of what will occur.

5. Investment Risk Warning

Investing in financial markets involves substantial risk, including the risk of losing all capital invested. The securities discussed on this website — including equities, options, and other instruments — can and do decline significantly in value. Past returns are not indicative of future results.

Specific risks associated with the types of investments discussed on this site include:

• Equity risk: share prices can fall to zero
• Concentration risk: high-conviction positions amplify both gains and losses
• Liquidity risk: some securities may be difficult to exit at a fair price
• Pre-revenue company risk: companies without revenue may fail before commercialisation
• Regulatory risk: regulatory outcomes can be binary and unpredictable
• Model risk: quantitative models may fail under conditions not represented in historical data

You should not invest money you cannot afford to lose. If you are uncertain about the suitability of any investment, seek professional independent advice.

6. Limitation of Liability

To the fullest extent permitted by applicable law, VinePeak and its founders, contributors, and affiliates shall not be liable for any direct, indirect, incidental, special, consequential, or exemplary damages — including but not limited to trading losses, lost profits, or loss of data — arising from:

• Your use of or reliance on any content published on this website
• Any investment decision made based on content from this website
• Errors, inaccuracies, or omissions in any content or data
• Interruption or unavailability of the website

7. Third-Party References

This website may reference or link to third-party data sources, academic research, companies, or tools. Such references are for informational context only. VinePeak does not endorse, warrant, or assume responsibility for any third-party content, products, or services. The inclusion of a company name, ticker symbol, or product in any research piece does not constitute a recommendation to invest in or engage with that company.

8. Jurisdictional Notice

This website is operated from the United States. The content is intended for general informational purposes and is not directed at any specific jurisdiction. It may not be appropriate for, or compliant with the laws of, all countries. Users outside the United States access this site at their own initiative and are responsible for compliance with local laws and regulations regarding the access and use of investment-related information.

9. Updates to This Disclaimer

VinePeak reserves the right to amend this disclaimer at any time without prior notice. Continued use of the website following any changes constitutes acceptance of the revised disclaimer. We recommend reviewing this page periodically.

10. Contact

If you have any questions about this disclaimer or the nature of content published on this site, please contact us at linzhang1126@gmail.com.