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HappyTrader.io

The #1 Fastest Growing Predictive A.I. Indicator

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Copyright HappyTrader.io, subsidiary of Humble Pie Holdings, a registered Delaware Limited Liability Company. - Terms Of Service & Disclaimer / Financial Disclosure: *Results Obtained Using Backtested Methods Combined With Data, and are not indicative of real money results. Fully Verified & Backed By CBOE Options Data To Simulate Real World Potential Results. By using HappyTrader.io, you agree that you will only use our trade recommendations to paper-trade, to help you make more informed trading decisions. We do not encourage nor are we responsible for anyone incurring real money losses by using HappyTrader products, services, strategies or recommendations. However, HappyTrader does use authentic real-time data, options strike prices, order fill amounts to virtually identically simulate real-money trading. Hence, one could argue that teachings that are derived from using HappyTrader could theoretically be transferred to a real-money account, but HappyTrader.io does not encourage this, and any real-money trading you perform using HappyTrader.io or HappyTrader's IP/products/services/ideas/strategies or any derivative thereof is at your own risk. You agree to indemnify and hold harmless HappyTrader.io, Humble Pie Holdings, LLC, it's officers, corporations & entities for any use relating to real-money trading. Once again. Do not trade real-money using HappyTrader products. Results shown on our homepage, and logs, are accurate. However, this was a simulated backtest performed at our maximum aggressive setting, which we would not recommend for even most expert traders due to psychological barriers related to drawdown, performance, monitoring, consistency & other variables. We reserve the right to tune the algorithm to match market conditions which means that 1. our previous simulated back-testing logs cannot be used to gauge future performance, and 2. that the trades announced by HappyTrader.io & HappyTrader Bot may significantly differ from those appearing on our P/L logs in order to properly manage virtual buying power, virtual risk, and virtual liquidity, among other factors non-limiting.

If you do not agree with any term or provision of our Terms and Conditions you should not use our Site, Services, Content or Information. Please be advised that your continued use of the Site, Services, Content, or Information provided shall indicate your consent and agreement to our Terms and Conditions.

HappyTrader may publish testimonials or descriptions of past performance but these results are NOT typical, are not indicative of future results or performance, and are not intended to be a representation, warranty or guarantee that similar results will be obtained by you.

Ryan Nelson's experience with trading is not typical, nor is the experience of traders featured in testimonials. They are experienced traders. Becoming an experienced trader takes hard work, dedication and a significant amount of time.

Your results may differ materially from those expressed or utilized by HappyTrader due to a number of factors. We do not track the typical results of our past or current customers. As a provider of educational courses, we do 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.

Available research data suggests that most day traders are NOT profitable.

In a research paper published in 2014 titled “Do Day Traders Rationally Learn About Their Ability?”, professors from the University of California studied 3.7 billion trades from the Taiwan Stock Exchange between 1992-2006 and found that only 9.81% of day trading volume was generated by predictably profitable traders and that these predictably profitable traders constitute less than 3% of all day traders on an average day.

In a 2005 article published in the Journal of Applied Finance titled “The Profitability of Active Stock Traders” professors at the University of Oxford and the University College Dublin found that out of 1,146 brokerage accounts day trading the U.S. markets between March 8, 2000 and June 13, 2000, only 50% were profitable with an average net profit of $16,619.

In a 2003 article published in the Financial Analysts Journal titled “The Profitability of Day Traders”, professors at the University of Texas found that out of 334 brokerage accounts day trading the U.S. markets between February 1998 and October 1999, only 35% were profitable and only 14% generated profits in excess of $10,000.

The range of results in these three studies exemplify the challenge of determining a definitive success rate for day traders. At a minimum, these studies indicate at least 50% of aspiring day traders will not be profitable. This reiterates that consistently making money trading stocks is not easy. Day Trading is a high risk activity and can result in the loss of your entire investment. Any trade or investment is at your own risk.

Any and all information discussed is for educational and informational purposes only and should not be considered tax, legal or investment advice. A referral to a stock or commodity is not an indication to buy or sell that stock or commodity.

Disclaimer ammendment: Welcome to HappyTrader.io, a trailblazing subsidiary of Humble Pie Holdings LLC, dedicated to reshaping the trading landscape through innovative and insightful approaches. Our platform is a beacon of knowledge in the world of trading, equipped with the latest advancements in artificial intelligence to provide you with predictive signals and real-time market analysis. Our mission is to empower you with tools and insights that enhance your trading strategies, nurturing an environment of learning and growth. At the core of our offerings, it's paramount to understand the nature of the content and tools we provide. At HappyTrader.io, we are committed to delivering high-quality educational content. We want to clarify that any trading strategies or insights shared through our platform, including those demonstrated in our videos, should be regarded as hypothetical scenarios. They are crafted for educational purposes and are not intended as financial advice. Our demonstrations may utilize both real money accounts and/or demonstration accounts in conjunction with live market data. However, it's crucial to recognize that these scenarios may not fully represent the complexities of actual trading, including factors like commissions, slippage, and market volatility. Your journey in trading involves navigating through various risks and uncertainties, and we emphasize the importance of using our products and services with a clear understanding of these aspects. By engaging with HappyTrader.io, you acknowledge that the use of our products and trading ideas is at your own risk. The world of trading, while filled with opportunities, also comes with its share of challenges and potential losses. We urge you to approach our content with a mindset geared towards education and understanding, rather than a direct financial roadmap. It is also essential to state that HappyTrader.io, nor any of its content, is affiliated with TradingView or any other trading platform. Our independence ensures that the insights and strategies we provide are unbiased and focused solely on enhancing your trading education. In conclusion, HappyTrader.io invites you to explore the dynamic world of trading with our advanced tools and educational content. We strive to be your partner in this journey, equipping you with the knowledge and insights necessary to navigate the markets more effectively. However, remember that the responsibility for any trading decisions and their outcomes rests with you. We are here to guide and educate, helping you make informed decisions in your trading endeavors. Embark on this exciting journey with HappyTrader.io, where technology meets trading expertise. Embrace the opportunity to enhance your trading skills with our AI-driven insights and real-time data analysis. Happy trading, and may your journey with HappyTrader.io be enlightening and rewarding.

Citations for Disclaimer

Barber, Brad & Lee, Yong-Ill & Liu, Yu-Jane & Odean, Terrance. (2014). Do Day Traders Rationally Learn About Their Ability?. SSRN Electronic Journal. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2535636

Garvey, Ryan and Murphy, Anthony, The Profitability of Active Stock Traders. Journal of Applied Finance , Vol. 15, No. 2, Fall/Winter 2005. Available at SSRN: https://ssrn.com/abstract=908615

Douglas J. Jordan & J. David Diltz (2003) The Profitability of Day Traders, Financial Analysts Journal, 59:6, 85-94, DOI: https://www.tandfonline.com/doi/abs/10.2469/faj.v59.n6.2578

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