Tenjin AI Financial Advisors LLC (“Tenjin”) is an SEC registered investment advisor firm. Under no circumstances should any information presented in this communication be construed as an offer to sell, or solicitation of any offer to purchase, any securities or other investments. No information contained herein constitutes a recommendation to buy or sell investment instruments or other assets, nor to effect any transaction, or to conclude any legal act of any kind whatsoever in any jurisdiction in which such offer or recommendation would be unlawful.
Nothing contained herein constitutes financial, legal, tax or other advice, nor should any investment or any other decision(s) be made solely on the information set out herein. Advice from a qualified expert should be obtained before making any investment decision. The investment strategies discussed in this communication may not be suitable for all investors. Investors must make their own decisions based upon their investment objectives, financial position and tax considerations.
Interactive Brokers LLC is a member of the Securities Investor Protection Corporation (SIPC). Through SIPC funds are available to meet customer claims up to a ceiling of $500,000, including a maximum of $250,000 for cash claims. SIPC insurance does not protect against loss in the market value of securities. For additional information regarding Interactive Brokers’ SIPC Insurance, please visit Interactive Brokers website here or please contact SIPC at (202) 371-8300 or visit www.sipc.org.
Informational Purposes only
Any content presented in this website is for informational purposes only and is subject to change at any time without notice. The factual information set forth herein has been obtained or derived from sources believed by Tenjin to be reliable but it is not necessarily all-inclusive and is not guaranteed as to its accuracy and is not to be regarded as a representation or warranty, express or implied, as to the information’s accuracy or completeness, nor should the attached information serve as the basis of any investment decision. To the extent this document contains any forecasts, projections, goals, plans and other forward looking statements, such forward looking statements necessarily involve known and unknown risks and uncertainties, which may cause actual performance, financial results and other projections in the future to differ materially from any projections of future performance or result expressed or implied by such forward looking statements.
Backtested performance and past live trading performance are NOT indicators of future actual results. The results reflect performance of a strategy not historically offered to investors and do NOT represent returns that any investor actually attained. Backtested results are calculated by the retroactive application of a model constructed on the basis of historical data and based on assumptions integral to the model which may or may not be testable and are subject to losses.
The backtesting process assumes that the strategy would have been able to purchase the securities recommended by the model and the markets were sufficiently liquid to permit all trading. Changes in these assumptions may have a material impact on the backtested returns presented. Certain assumptions have been made for modeling purposes and are unlikely to be realized. No representations and warranties are made as to the reasonableness of the assumptions. This information is provided for illustrative purposes only.
Backtested performance is developed with the benefit of hindsight and has inherent limitations. Specifically, backtested results do not reflect actual trading or the effect of material economic and market factors on the decision making process. Since trades have not actually been executed, results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity, and may not reflect the impact that certain economic or market factors may have had on the decision-making process. Further, backtesting allows the security selection methodology to be adjusted until past returns are maximized. Actual performance may differ significantly from backtested performance.