Disclaimer

Important Notice

This Disclaimer clarifies the nature of Tokalpha Labs' work and the limitations of our research, models, and any systems or outputs described on our Website (tokalpha.ai).

1. No Financial or Investment Advice

Tokalpha Labs does not provide investment advice, trading advice, or recommendations to buy, sell, or hold any security, commodity, or digital asset. All content on our Website is for educational and informational purposes only.

Any research, backtests, simulations, models, or example results are intended to demonstrate methodology and explore concepts, not to predict future performance or serve as a basis for investment decisions.

Users are strongly encouraged to consult a qualified financial advisor, investment professional, broker, accountant, or attorney before making any investment or trading decisions. The research presented does not account for individual financial situations, risk tolerance, investment objectives, or tax circumstances and is not a substitute for personalized professional advice.

2. Risk Warning

Trading and investing carry substantial risk. You may lose some or all of your capital. Factors affecting trading outcomes include:

• Market volatility and unforeseen economic events
• Model limitations and assumptions
• Execution risks and slippage
• Regulatory or policy changes
• Technology failures
• Cybersecurity threats

Past performance does not guarantee future results.

3. Limitations of AI and Autonomous Agents

The research and systems described on this Website leverage large language models (LLMs), AI-powered reasoning, and autonomous trading agents, which inherently rely on:

• Historical data, which may not reflect future market conditions or unprecedented events
• Algorithmic assumptions and probabilistic models that may contain errors, biases, or incomplete information
• Computational outputs that cannot predict sudden market changes, geopolitical events, regulatory shifts, black swan events, or regime changes

AI-driven insights and autonomous agent outputs are not infallible and may be inaccurate, incomplete, or fail entirely in volatile, novel, or extreme market conditions. LLM-based systems may produce unexpected behavior, hallucinations, or incorrect reasoning. Users must recognize these inherent limitations when evaluating our research and should not rely solely on AI-generated outputs for decision-making.

4. Research Prototypes and Experimental Systems

Any models, algorithms, code, trading systems, or demonstrations described or provided are:

• Experimental and developmental in nature
• Not guaranteed to work as described or to generate profitable results
• May fail, malfunction, or produce unexpected results in live market conditions
• Subject to change, modification, or discontinuation without notice

We make no warranty that our systems will:

• Execute trades correctly or as intended
• Adapt to real-market conditions or changing environments
• Comply with regulations in all jurisdictions
• Preserve capital or generate returns

5. Backtesting and Historical Data Limitations

Backtesting results are theoretical, simulated, and based on historical data. Backtests may not account for:

• Execution slippage and transaction commissions
• Market microstructure, liquidity constraints, and order book dynamics
• Regulatory restrictions, trading halts, or circuit breakers
• Regime changes, structural breaks, or unprecedented market conditions
• Look-ahead bias, survivorship bias, or data-snooping bias

Backtesting results do not predict live trading performance.

6. No Guarantee of Accuracy or Completeness

We make no representations or warranties regarding:

• The accuracy, completeness, reliability, or timeliness of any data, research, or analysis published
• The absence of errors, omissions, bugs, or vulnerabilities in code or systems
• The suitability of our research for your specific use case, jurisdiction, or regulatory environment

7. Third-Party Data and Content

The Website and research may incorporate data, analysis, or content from third-party providers, including:

• Market data vendors and financial APIs
• Academic sources and published research
• Open-source datasets and libraries
• External tools and platforms

Tokalpha Labs does not endorse, verify, or assume responsibility for the accuracy, completeness, reliability, or legality of third-party data or content. We are not responsible for third-party policies, practices, or service availability. Users must independently verify information and perform their own due diligence.

8. Regulatory and Legal Considerations

Automated trading and AI-driven investment strategies may be subject to:

• Securities regulations (SEC, FINRA, etc., if trading in the U.S.)
• Commodity regulations (CFTC, if trading futures or derivatives)
• International regulations depending on jurisdiction and asset class
• MiFID II, GDPR, or other regional compliance requirements
• Licensing requirements for investment advisors or broker-dealers

You are solely responsible for ensuring your use of Tokalpha Labs' research, code, models, and systems complies with all applicable laws, regulations, and industry standards in your jurisdiction. We do not provide legal or compliance advice. Tokalpha Labs is not liable for any legal, regulatory, or compliance consequences arising from your use of the research or systems.

9. Limitation of Liability

To the maximum extent permitted by law, Tokalpha Labs, its founders, employees, contributors, and agents will not be liable for:

• Any losses, damages, or expenses arising from your use of our Website, research, code, models, or systems
• Indirect, incidental, consequential, special, or punitive damages
• Loss of profits, revenue, data, opportunity, or business
• Trading losses, missed trading opportunities, or investment losses
• System failures, downtime, or security breaches

You use all materials, systems, and information at your own risk.

10. No Professional Relationship

Use of the Website does not create an attorney-client, financial advisor-client, broker-client, or any other professional relationship with Tokalpha Labs. You are not entitled to professional advice, fiduciary duty, or duty of care unless explicitly agreed in a separate written agreement.

11. Changes and Updates

Tokalpha Labs may update, modify, or discontinue any research, models, code, or systems without notice. This Disclaimer may be updated at any time; the "Last Updated" date reflects the current version. Continued use of the Website after changes constitutes acceptance of the revised Disclaimer.

12. Indemnification

You agree to indemnify, defend, and hold harmless Tokalpha Labs, its founders, employees, contributors, and agents from any claims, damages, losses, liabilities, or expenses (including reasonable legal fees) arising from:

• Your use of the Website, research, models, code, or systems
• Your violation of this Disclaimer, the Terms of Use, or applicable law
• Your trading, investment, or business decisions
• Any misuse or unauthorized distribution of our materials

13. User Acknowledgment

By accessing or using this Website or our research materials, you confirm that you have read, understood, and agreed to this Disclaimer. You acknowledge that:

• Tokalpha Labs provides research for educational and informational purposes only
• All trading and investing involves substantial risk of loss
• AI and autonomous systems have inherent limitations and may fail
• You are solely responsible for your own decisions and compliance with applicable laws
• Tokalpha Labs, its founders, contributors, and affiliates are not liable for any direct, indirect, incidental, consequential, or punitive damages arising from your use of the Website, research, models, or systems

14. Contact

If you have questions about this Disclaimer, contact:

Tokalpha Labs

Email: contact@tokalpha.ai

Location: Chattanooga, Tennessee, USA