Disclaimer

1. General Disclaimer

AlgoZilla provides AI-powered crypto trading signals for informational and educational purposes only. Nothing on this website, in our Telegram channels, or in any communication from AlgoZilla constitutes financial advice, investment advice, trading advice, or any other form of professional advice. You should not treat any of our content as such.

2. No Guarantee of Returns

Past performance does not guarantee future results. Any historical returns, backtest results, expected returns, or probability projections presented on this website are based on walk-forward validated backtests using historical data and may not reflect actual future performance. Actual trading results will vary.

There is no assurance that our signals will be profitable in the future, even if they have been profitable in the past. Market conditions change, and strategies that worked historically may fail under new circumstances.

3. Risk of Loss

Trading cryptocurrency involves significant risk of loss and is not suitable for every investor. The valuation of cryptocurrencies may fluctuate dramatically, and you may lose part or all of your invested capital. Never trade with money you cannot afford to lose.

Cryptocurrency markets are highly volatile, operate 24/7, and can be affected by regulatory changes, technological failures, market manipulation, and other unpredictable factors.

4. Not a Financial Advisor

AlgoZilla is not a registered financial advisor, broker-dealer, financial planner, or investment professional. We do not hold any financial services license. Our signals should not be the sole basis for any trading or investment decision.

You should consult with a qualified financial professional before making any investment decisions. Any trades or investment decisions you make are solely your own responsibility.

5. Backtest Limitations

Walk-forward backtests simulate historical trading using a methodology that trains models on past data and tests exclusively on unseen future data. While this approach reduces overfitting compared to traditional backtesting, it does not eliminate the risk of model degradation or poor future performance.

Hypothetical or simulated performance results have inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Since the trades have not actually been executed, the results may have under- or over-compensated for the impact of certain market factors, such as lack of liquidity. Simulated trading programs are also subject to the fact that they are designed with the benefit of hindsight.

Actual results may differ from backtested results due to execution timing, slippage, liquidity constraints, exchange fees, funding rates, and other factors not captured in simulation.

6. Model Limitations

Omniscius v2.5 is a machine learning model that identifies statistical patterns in historical market data. It may fail in unprecedented market conditions, during black swan events, or when market dynamics shift in ways not represented in the training data. Past model performance does not indicate future accuracy.

The model is retrained periodically, but there is no guarantee that retraining will capture all relevant market changes.

7. Third-Party Services

AlgoZilla is not responsible for the performance, availability, or security of third-party services, including but not limited to cryptocurrency exchanges (Bitget, Bitvavo), messaging platforms (Telegram), payment processors, or any other external service. Use of third-party services is at your own risk and subject to their respective terms.

8. Affiliate Disclosure

Some links on this website are affiliate links. AlgoZilla may earn a commission when you sign up for third-party services through these links, at no extra cost to you. Affiliate relationships do not influence our signal generation or trading recommendations.

9. Customer Performance

As a provider of algorithmic trading signals, AlgoZilla does not have access to the personal trading accounts or brokerage statements of our customers. As a result, we have no reason to believe our customers perform better or worse than traders as a whole based on any content, signal, or feature we provide.

Any performance metrics or results displayed on this website reflect backtested or simulated performance and are not representative of any individual customer’s actual trading results.

10. Data Sources

Market data is sourced from major cryptocurrency exchanges including Binance and aggregated through our proprietary database. Price data, on-chain metrics, and technical indicators are provided on an “as is” basis and should be verified independently before making trading decisions.

Historical price data used for backtesting is sourced from exchange APIs and may contain gaps, adjustments, or inconsistencies that could affect simulated performance results.

11. No Liability

To the maximum extent permitted by applicable law, AlgoZilla and its operators, employees, and affiliates accept no liability for any losses, damages, or costs resulting from following our signals, using our services, or relying on any information provided on this website.

You acknowledge that trading decisions are made at your own risk and discretion, and that you are solely responsible for any resulting gains or losses.

12. Jurisdiction

This service is operated from the Netherlands and subject to Dutch law. Users are responsible for determining whether using our service is legal in their jurisdiction and for compliance with all applicable local laws and regulations regarding cryptocurrency trading.

If you have questions about this disclaimer, contact us at info@algozilla.io.