Applied Finance Research

Systems Based Investment and Trading Strategies

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0+ Years Experience

Courses Offered

Monthly Asset Allocation Systems

Learn how to beat the market in minutes per month on a fraction of the drawdown

Based on academically researched concepts, these monthly asset allocation systems outperform the market with a fraction of the buy and hold drawdown. Using the world’s most popular equity indexes, ETFs, and mutual funds, these systems can be executed in even the most restrictive retirement accounts and require very little time to operate each month.
“Whale watching” is the nickname we give to the systems’ ability to identify and quantify major moves in global markets. By using the world’s largest and most popular equity indexes, ETFs, and mutual funds, these systems position investors to take advantage of the large moves created by institutional money. There’s big money in the big indexes, and if they’re moving, these systems are going to know about it, and profit from it.

Momentum Systems Home Study Course

Having evolved from Dr Ken Long’s excellent Blended Monthly Rebalancing System, these next generation monthly asset allocation systems are based on academically researched momentum concepts. Momentum systems profit from the continuance of market trends, taking advantage of the herding behavior of market psychology. These systems identify and quantify trends across the world’s major markets, allocating assets to the best performing markets. Performance can be further enhanced by the addition of optional volatility stops and short positions.

Portfolio Moving Average Systems Home Study Course

These systems apply academically researched moving average concepts to asset allocation. Moving averages are widely used in technical analysis and have been extensively researched in academic literature.  By combining these tried-but-true indicators together with systems thinking, these systems capture profits in the world’s major indexes while avoiding bear markets.  Performance can be further enhanced by the addition of optional volatility stops and short positions.

Hybrid System Home Study Course

This system combines both momentum and portfolio moving average concepts into one meta system. By utilizing both of these powerful concepts in the same system, investors add depth and diversity to their methods of identifying and quantifying market trends. This system allocates assets to the world’s best performing markets, capturing profits during bull markets and minimizing losses during bear markets. Performance can be finely tuned by shifting the balance of the meta system towards one component or the other. Performance can be further enhanced by the addition of optional volatility stops and short positions.

Results Summary with SQN for Monthly Asset Allocation Systems

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About

Mission Statement

Applied Finance Research exists to serve the financial success and well-being of our community by providing quality investing education.

Values

Integrity – investment systems that work
Quality – world-class education that’s engaging, clear, and inspiring
Service – we’re here to help you accomplish your goals

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Bill Scheidt

President

Bill Scheidt has more than 15 years of experience trading stocks, options, commodities, ETFs, and crypto. He credits his participation in the Van Tharp Institute’s Super Trader program as the transformational experience that galvanized his journey to becoming a successful trader.

Bill is the president of Applied Finance Research, the former co-owner of a Registered Investment Advisor firm, and the co-founder of The Systems Lab Inc. with Jeff Boccaccio. He researches and develops systems-based strategies for trading and investing, offers consulting and instructional services, and manages private equity.

Bill is a natural instructor and has a talent for helping others in their growth and development. He combines a methodical and scientific approach to trading with a down-to-earth and approachable teaching style. Having undergone the journey from losing trader to profitable private equity manager, he has a unique ability to meet traders where they are and help them get where they want to go.

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    DISCLAIMER

    This content, and all trades, patterns, charts, systems, trading strategies, etc., discussed therein, is for educational purposes only. All materials discussed within or distributed in connection with this content are not intended for use as a source of investment or trading advice and should not be construed as a recommendation or solicitation to buy or sell any asset, currency, ETF, mutual fund, futures contract, option, or stock. The creators and distributors of this content and the related materials are researchers, educational presenters and publishers, not an accredited program or institution, nor are they professional advisors or brokers of any kind. By accessing this information, you acknowledge and agree that the creators and distributors of this content and the related materials in no way shall be considered as conforming to any educational standards or qualifications prescribed by any private or governmental entity.
    Trading and investing involve significant risk of loss. Traders and investors can lose more than their initial investment. No system or methodology has ever been developed that can guarantee profits or ensure freedom from losses. No representations, implications or guarantees are being made that using the information provided within either the content or the related materials will generate profits or ensure freedom from losses, nor that using the information provided within either of the same will or is likely to achieve profits or losses like those shown.  Please consult an investment professional to explain all risks to you before making any decisions relating to the purchase or sale of any crypto-asset, currency, or security.  The information within both the content and the related materials is not an offer to buy or sell or a solicitation of an offer to buy or sell the securities, futures or assets mentioned, nor is it a recommendation for the use of specific brokers, exchanges, securities, futures or other assets. The information discussed herein may be unsuitable for investors and traders depending on their specific investment objectives and financial position. The price or value of the investments to which this content and the related materials relate, either directly or indirectly, may fall or rise against the interest of investors and traders. All prices and yields contained in this content and the related materials are subject to change without notice. You are responsible for your own trading and investing results, and individual results vary.
    Historical, hypothetical, and simulated trading performance results have certain inherent limitations. Historical, hypothetical, and simulated trading results are generated with the best benefit of hindsight and unlike an actual performance record, they do not represent actual results and should not be interpreted as an indication of actual performance. Also, because historical, hypothetical, and simulated results are derived from data, they may under-compensate or over-compensate for the impact, if any, of various market forces such as lack of liquidity on actual trade executions. Backtested and simulated performance is hypothetical and does not reflect trading in actual accounts. As such, backtest and simulation results are provided for informational purposes only to indicate historical performance had particular investments strategies and trading systems been utilized over the relevant time frame. Backtested and simulated returns do not represent the performance results of actual trading or investing and are calculated through retroactive application of specific systems and strategies, designed with the benefit of hindsight. Since backtested and simulated performance results do not represent actual trading, they may not reflect the impact that material economic and market factors might have had on the decision-making of a trader or investor. There are frequently significant material differences between backtested, and simulated performance results and performance results subsequently achieved by following a strategy. In addition, backtested and simulated performance does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or adhere to a trading or investing system despite trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading or investing system which cannot be fully accounted for in the preparation of backtested and simulated performance results and all of which can adversely affect actual trading results.  No representation is being made by the creators and distributors of this information that any account will or is likely to achieve profits or losses similar to those discussed within the content and/or the related materials. The creators and distributors of the information contained within the content and/or the materials do not guarantee any minimum level of trading or investment performance, nor the success of any client, client account or trading or investment strategy or system. Past performance does not guarantee future results. Backtested and simulated results do not guarantee future results.
    The creators and distributors of the information contained within the content and/or the related materials, may or may not take a position, or already have a position, in the assets discussed herein, based on their trading and investing discretion at the time. You should assume that these positions may be substantial enough to be material.  The creators and distributors of the information contained within the content and/or of the related materials assume no duty and do not undertake to disclose or update their positions, which are subject to change over time.
    The creators and distributors of this content and the related materials make no representation as to, or accept any responsibility or liability for, the accuracy or completeness of the information contained therein, or any decision or action taken by you or any third party in reliance upon the data from the same. Reliance on any or all of such information is at your own risk. The creators and distributors assume no responsibility for errors or omissions in the information contained in the content and/or the related materials. The content and the related materials offered are gathered from sources believed to be reliable, but have not been reviewed, compiled, or audited by an independent public accountant. Reasonable attempts have been made to verify this information and the creators and distributors provide it in good faith, though they do not guarantee it. The views expressed within the content and the related materials represents the current, good faith views of the authors at the time of presentation/publication. Please be aware that these views are subject to change at any time and without notice of any kind. The creators and distributors of this content and the related materials assume no duty and do not undertake to update these views or any forward-looking statements, which are subject to numerous assumptions, risks, and uncertainties, which change over time.  Some results are derived using historical estimations from available data.
    Your access to and/or use of the content and/or the related materials indicates your acceptance of these disclaimers and your agreement that you are solely responsible for your trading and investment results. The creators and distributors of the content and the related materials offer educational information on ways to use sophisticated trading tools and strategies, but it is ultimately up to customers to make their own trading and investment decisions or to consult with a registered investment advisor. In addition, your access to and/or use of the content and/or the related materials indicates that you agree to hold harmless, Applied Finance Research, William Scheidt, the Van Tharp Institute, Tortoise Capital Management, Ken Long and all other parties affiliated with the content and/or the related materials.
    Adherence to applicable laws, regulations, and jurisdictions is the sole responsibility of the attendees of the content and/or users of this related materials discussed within or distributed in connection with the content.  Under no circumstances should it be assumed, implied or inferred that the information presented within either the content or the related materials is to be considered as legal or tax advice.  Should you require legal, or tax advice it is strongly recommended that you contact a professional in those fields to assist you.
    All materials related to this content, including the content itself, are copyright protected. You have no rights to reproduce, distribute, teach, or sell any material contained within or related to the content or the related materials in whole or in part without express permission in writing from Applied Finance Research.  This content is for personal use only.  Commercial use is strictly prohibited.