Master the art of strategic investing through proven methodologies and cutting-edge research
An investment research and development company focused on creating and licensing proprietary trading strategies
At Innovative Investment Research, we are a research company specializing in technical analysis. While fundamental analysis examines a company's financial health and intrinsic value, technical analysis focuses on price patterns, market trends, and trading volume to predict future price movements.
What is Technical Analysis? Technical analysis is the study of historical market data—primarily price and volume—to identify patterns and trends that can signal future market behavior. This approach relies on charts, indicators, and statistical models rather than company financials.
We develop and research algorithmic trading systems based on predefined criteria, including market making, arbitrage, trend following, and mean reversion strategies.
Our research covers cutting-edge techniques including high-frequency trading (HFT), machine learning models, sentiment-based trading using NLP, and VWAP/TWAP execution strategies.
Our Mission: We are a research company focused on developing and licensing innovative investment strategies. Our proprietary research is available for purchase to qualified investors and institutions. We also provide internships for those wanting to learn technical analysis and research methodologies.
Examples of investment strategies we have developed or are currently working on
Our reverse trend methodology identifies market reversals before they occur by analyzing momentum shifts, volume patterns, and key technical indicators.
Approach: This contrarian strategy capitalizes on market overreactions and trend exhaustion points, identifying optimal entry positions when market sentiment reaches extremes.
The angle strategy measures the slope and trajectory of price movements to determine optimal entry and exit points.
Methodology: By calculating the angle of ascent or descent, we identify sustainable trends versus temporary fluctuations, enabling precise timing for trade execution.
We continuously develop new proprietary strategies combining technical indicators, statistical analysis, and algorithmic models.
Pipeline: Our research includes momentum-based systems, volatility arbitrage, pattern recognition algorithms, and adaptive trading models.
Explore cutting-edge algorithmic trading strategies that leverage computer programs to automate trading decisions
Algorithms provide liquidity by placing buy and sell orders simultaneously, profiting from the bid-ask spread while adjusting orders based on market conditions.
Exploits price differences for the same asset across markets, including statistical arbitrage, triangular arbitrage, and spatial arbitrage.
Identifies and trades in the direction of market trends using indicators like moving averages, momentum, or breakouts.
Assumes prices will revert to their historical mean, identifying overbought or oversold conditions using statistical tools like Bollinger Bands.
Learn from the pioneers who revolutionized quantitative investing
Renaissance Technologies - Medallion Fund
Mathematician Jim Simons founded Renaissance Technologies and created the legendary Medallion Fund, achieving average annual returns of 66% (before fees) from 1988 to 2018. His purely algorithmic, quantitative approach proved that mathematics and data science could consistently beat the market.
D.E. Shaw & Co.
Computer scientist David Shaw pioneered high-frequency trading and statistical arbitrage strategies in the 1980s. His firm D.E. Shaw combined computational finance with sophisticated algorithms, establishing the blueprint for modern quantitative hedge funds.
Princeton Newport Partners
Mathematics professor Edward Thorp applied quantitative methods to gambling and investing, founding one of the first quantitative hedge funds. His pioneering work in options pricing and statistical arbitrage laid the foundation for algorithmic trading.
Professional investment research available for licensing to qualified investors and institutions
As a research company, we license our proprietary trading strategies and technical analysis research. We provide comprehensive documentation, research reports, and ongoing updates to help sophisticated investors and institutions implement our methodologies.
Research Products Available:
Contact us to discuss licensing our research for your investment needs:
gary@inninvres.comNOTE: We are a research company. We do not manage money or accept funds from outside sources.
Explore cutting-edge methods that leverage AI, machine learning, and high-frequency systems
Execute thousands of trades in microseconds, leveraging ultra-fast systems to act on market data before competitors. Includes order book dynamics and latency arbitrage strategies.
AI models using neural networks and reinforcement learning to predict price movements and optimize strategies based on historical and real-time data patterns.
Analyze news, social media, and market sentiment using natural language processing (NLP) to gauge market emotions and predict price movements.
Volume-Weighted and Time-Weighted Average Price execution breaks large orders into smaller chunks to minimize market impact while targeting optimal average prices.
Distinguished academic, executive, and thought leader with decades of experience in finance and clean energy
Gary Schwendiman is a distinguished academic, executive, and thought leader with a remarkable career spanning education, business, and clean energy. A graduate with honors from Washington State University, Dr. Schwendiman furthered his education at Brigham Young University, earning both a Master of Science and a Doctorate.
Dr. Schwendiman served as Dean of the College of Business Administration at the University of Nebraska from 1977 to 1994, providing visionary leadership to a faculty of 70 professors and overseeing the education of 3,000 undergraduate students and 150 MBA and PhD candidates. During his tenure, he established 33 innovative programs, including study abroad opportunities in eight countries.
His board service includes prominent organizations such as The Gallup Organization, InaCom Inc. (Fortune 500), and Security Mutual Life Insurance Company. He was also appointed by the Chairman of the Federal Deposit Insurance Corporation to serve on the Savings Association Insurance Fund Advisory Committee. Additionally, he provided strategic consultation for CEOs and Boards of Directors across twelve districts of Farm Credit Banks, supporting over $90 billion in agricultural loans.
In 2004, Dr. Schwendiman shifted his focus to clean energy, investing in ethanol production facilities across the United States. His expertise led to the publication of his book, "The Future of Clean Energy: Who Wins and Who Loses as the World Goes Green," and invited lectures in 19 U.S. states and 7 foreign countries.
Now retired and residing in Tucson, Arizona, Dr. Schwendiman remains dedicated to his family as a father of 5, grandfather of 14, and great-grandfather of 9.
"The Future of Clean Energy: Who Wins and Who Loses as the World Goes Green"
Dr. Schwendiman's comprehensive analysis of clean energy markets.
View on AmazonLearn investment research methodologies through hands-on experience with our research team
We offer internships and part-time positions for students and professionals who want to learn cutting-edge investment research methodologies. Interns work alongside our research team to study market behavior, develop trading strategies, and conduct technical analysis research.
Career Advancement: Internship participants receive mentorship from Dr. Schwendiman and may be recommended for positions at major investment firms.
Email your resume or education history with a brief statement about your interest in investment research:
gary@inninvres.comNOTE: We are a research company. We do not manage money from outside sources.
Access cutting-edge investment research or join our team to learn innovative research methodologies
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