Terms of Service & Risk Disclaimer

Last Updated: August 15, 2026

Educational and Research Purpose Only

All content, mathematical models, code snippets, quantitative analysis, and research published on AuditQuant (the «Site») are provided strictly for educational, informational, and academic research purposes. Nothing on this Site constitutes financial, investment, legal, or tax advice.

No Investment Advice or Solicitation

AuditQuant is an independent research platform and is not registered as an investment advisor, broker-dealer, or commodity trading advisor (CTA) with the U.S. Commodity Futures Trading Commission (CFTC), the Securities and Exchange Commission (SEC), or any national financial regulatory authority. No content published on the Site should be construed as a recommendation or solicitation to buy or sell any financial instrument, currency pair, futures contract, or asset class.

High-Risk Warning & Leverage

Trading foreign exchange (Forex), futures, derivatives, cryptocurrencies, and equities involves substantial risk of loss and is not suitable for all investors. Leveraged trading products can work against you as well as for you, resulting in the potential loss of more than your initial deposit. You should carefully consider your investment objectives, level of experience, and risk appetite before engaging in live trading.

CFTC Rule 4.41 – Hypothetical Performance Disclosure

HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER- OR OVER-COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN.

Code and Algorithmic Execution Notice

All algorithmic trading code, scripts (MQL5, Python), backtesting data, and quantitative indicators provided on the Site are provided «as is» without warranty of any kind, express or implied. AuditQuant does not guarantee the accuracy, completeness, or execution reliability of any code presented. Users assume full responsibility for testing code in simulated (demo) environments before any live deployment.

Limitation of Liability

In no event shall AuditQuant, its authors, or affiliates be liable for any direct, indirect, incidental, or consequential damages or trading losses arising from the use or inability to use the information or algorithms provided on this website.