Risk Disclaimer

Last updated: April 6, 2026

Important: Please read this entire disclaimer before using AlgoThesis.

AlgoThesis is an AI-powered market workbench that generates algorithmic trading strategies, provides market screening tools, displays stock data cards, and produces 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 backtesting results as indicators 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.

Backtesting Limitations

Backtesting results shown on AlgoThesis are hypothetical. They are based on historical data and do not account for:

  • Real-world execution costs, slippage, and latency.
  • Market impact of your trades.
  • Liquidity constraints.
  • Broker-specific fees and margin requirements.
  • Changes in market conditions, regulations, or economic environment.
  • Survivorship bias in historical data.

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 strategies carefully before deploying them with real capital. Do not blindly trust AI-generated trading signals or text responses.

Market Data and Screener Limitations

The screener, ticker cards, and other market data displays within AlgoThesis source data from third-party providers including Alpaca and Financial Modeling Prep (FMP). 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.

Paper Trading vs. Live Trading

Paper trading (simulated trading) results may differ significantly from live trading. Paper trading does not involve real money and does not reflect the psychological impact of risking actual capital. Slippage, partial fills, and market conditions in live trading cannot be fully replicated in simulation.

Third-Party Brokerages

AlgoThesis connects to third-party brokerages (Alpaca, Coinbase, Kraken) to execute trades on your behalf when you enable live trading. We are not responsible for:

  • Brokerage outages, delays, or execution failures.
  • Incorrect order execution by the brokerage.
  • Changes to brokerage fees, margin requirements, or policies.
  • Security breaches at the brokerage 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.