Risk Disclaimer
Last updated: June 15, 2026
Important: Please read this entire disclaimer before using AlgoThesis.
AlgoThesis is an AI-powered market workbench that turns a thesis into a researched basket of securities, with a fundamentals screener, ticker cards, a news Wire, and AI-generated text responses to market questions. It is not a registered broker-dealer, investment advisor, or financial planner. Nothing on this platform — including screener results, ticker cards, AI text responses, or strategy outputs — constitutes financial advice, investment advice, trading advice, or any other form of professional advice.
Trading Risk
Trading stocks, options, and cryptocurrencies involves substantial risk and is not suitable for every person. You should carefully consider whether trading is appropriate for you in light of your financial condition. The high degree of leverage available in trading can work against you as well as for you. You could sustain a total loss of your initial investment and potentially more.
No Guarantees
No trading strategy — whether generated by AI or by a human — is guaranteed to produce profits. AlgoThesis makes no representations or warranties regarding:
- The accuracy of AI-generated strategies, text responses, or analysis.
- The profitability of any strategy, past or future.
- The reliability of AI-generated research as an indicator of future performance.
- The completeness of market data or catalyst information.
- The accuracy, timeliness, or completeness of screener data, ticker card data, or market statistics (prices, P/E ratios, market cap, sector classifications) sourced from third-party providers.
Research, Not Recommendations
AlgoThesis generates research — a thesis interpreted into a basket of securities with rationale, grounded in public filings. It is informational only. It is not a recommendation to buy or sell any security, does not account for your individual circumstances, and is not a substitute for professional advice.
Past performance is not indicative of future results.
AI Limitations
The AI models used by AlgoThesis (Google Gemini, Anthropic Claude) are general-purpose language models. They can produce incorrect, incomplete, or misleading outputs. AI models may:
- Misinterpret your thesis or market conditions.
- Generate strategies with logical errors.
- Fail to account for relevant risk factors.
- Produce different results for the same input at different times.
- Misclassify your intent, routing your question to an incorrect response handler (e.g., returning a screener table when you expected a text answer, or vice versa).
- Produce AI-generated text responses that contain inaccurate market analysis, outdated information, or unsupported conclusions.
Always review generated research carefully and do your own due diligence before acting on it. Do not blindly trust AI-generated analysis or text responses.
Market Data and Screener Limitations
The screener, ticker cards, and other displays within AlgoThesis source company fundamentals from public SEC filings (SEC EDGAR) and macro data from public sources (U.S. Treasury, U.S. Bureau of Labor Statistics). Where a licensed market-data feed is enabled, prices and price-derived metrics are provided by that licensed provider. This data:
- May be delayed and is not guaranteed to be real-time.
- May contain errors, omissions, or stale values for prices, P/E ratios, market capitalization, sector classifications, and other fundamentals.
- Is provided for informational purposes only and should not be the sole basis for any investment decision.
- May differ from data shown on other platforms or your brokerage.
Always verify market data through your brokerage or other authoritative sources before making trading decisions.
Saved Workflows
AlgoThesis allows you to save screener queries and other workflows for repeated use. Saved workflows re-execute against current market data each time they are run. Because market data changes continuously, results from a saved workflow may differ each time. A saved workflow that previously returned favorable results is not guaranteed to continue doing so.
Third-Party Data Providers
AlgoThesis sources fundamentals and filings from SEC EDGAR and macro data from public sources (U.S. Treasury, U.S. Bureau of Labor Statistics); where enabled, prices come from a licensed market-data provider. AlgoThesis does not execute trades and does not connect to a brokerage to trade on your behalf. We are not responsible for:
- Data-provider outages, delays, or failures.
- Inaccurate, incomplete, or stale market data.
- Changes to third-party provider fees, terms, or policies.
- Security breaches at the provider level.
Cryptocurrency Risk
Cryptocurrency markets are extremely volatile, operate 24/7, and are largely unregulated. Cryptocurrency prices can decline rapidly and you may lose your entire investment. Cryptocurrency is not legal tender and is not backed by any government.
Your Responsibility
By using AlgoThesis, you acknowledge and agree that:
- You are solely responsible for your trading decisions.
- You have read and understood these risks.
- You will not invest money you cannot afford to lose.
- You will consult a licensed financial advisor if you are unsure.
- You will not hold AlgoThesis, its founders, employees, or affiliates liable for any trading losses.
Contact
Questions about this disclaimer? Contact us at legal@algothesis.ai.