Legal Disclaimers & Risk Warnings
Important information regarding the use of our quantitative data and models
General Disclaimer
The information provided by QuantHQ, including but not limited to stock rankings, HMM regime detection models, and quantitative data, is for informational and educational purposes only. This information should not be construed as investment advice, financial advice, or a recommendation to buy, sell, or hold any security.
Investment Risk Warning
⚠️ PAST PERFORMANCE DOES NOT GUARANTEE FUTURE RESULTS
All investments carry risk, including the potential loss of principal. The quantitative models and rankings provided are based on historical data and mathematical algorithms that may not accurately predict future market movements or security performance.
Market conditions change rapidly, and historical patterns may not repeat. Users should conduct their own research and consult with qualified financial advisors before making any investment decisions.
Model Limitations & Assumptions
Our quantitative models, including Hidden Markov Models (HMM) and stock ranking algorithms, are based on specific assumptions and historical data patterns. These models may not account for:
- Unforeseen market events or black swan events
- Changes in market structure or regulations
- Company-specific news or fundamental changes
- Macroeconomic shifts or geopolitical events
- Market manipulation or algorithmic trading impacts
- Liquidity constraints or market microstructure changes
- Technological disruptions or industry changes
- Central bank policy changes or monetary policy shifts
Data Accuracy & Reliability
While we strive to provide accurate and reliable data, we cannot guarantee the completeness, accuracy, or timeliness of the information provided. Data may be subject to delays, errors, or other technical issues. Users should verify all data independently before making any decisions.
No Financial Advice
📋 NOT A REGISTERED INVESTMENT ADVISOR
QuantHQ is not a registered investment advisor, broker-dealer, or financial advisor. We do not provide personalized investment advice or recommendations. Our services are intended for institutional and professional users who are capable of making their own investment decisions.
Regulatory Compliance
Users are responsible for ensuring their use of our services complies with all applicable laws and regulations, including but not limited to:
- Securities laws and regulations
- Data protection and privacy regulations
- Financial services regulations
- Anti-money laundering (AML) requirements
- Know Your Customer (KYC) obligations
- Market abuse regulations
- Tax reporting requirements
Limitation of Liability
To the maximum extent permitted by law, QuantHQ shall not be liable for any direct, indirect, incidental, special, consequential, or punitive damages arising from the use of our services, including but not limited to:
- Investment losses or missed opportunities
- Data inaccuracies or delays
- Model failures or algorithmic errors
- System outages or technical issues
- Regulatory compliance violations
- Third-party data provider issues
Professional Use Only
Our services are designed for professional traders, quantitative analysts, institutional investors, and sophisticated market participants. Retail investors should exercise extreme caution and consult with qualified financial professionals before using our data for investment decisions.
Backtesting & Forward Testing
Historical performance of our models is based on backtesting and may not reflect actual trading results. Backtesting results are hypothetical and do not account for transaction costs, slippage, or other real-world trading constraints. Forward testing results may differ significantly from backtesting results.
Questions & Concerns
If you have questions about these disclaimers or our services, please contact our support team. Users should also consult with their legal and financial advisors to ensure compliance with applicable regulations and suitability for their specific use case.
Acknowledgment
By using our services, you acknowledge that you have read, understood, and agree to these disclaimers and risk warnings. You accept full responsibility for any decisions made based on our data and models.
Last Updated: September 21, 2025
These disclaimers may be updated periodically. Please check back regularly for the most current version.