Custom Trading Models for the Proactive Advisor
Harness the power of active management and custom model portfolios to help keep your clients’ investments on track in any market environment.
Harness the power of active management and custom model portfolios to help keep your clients’ investments on track in any market environment.
Our company would highly recommend Dynamic Portfolio Strategies for their expertise in their trading models as well as the continual support and perspective on market analysis. Our companies have established a great working relationship which helps our clients move closer to their financial goals. It is assuring Dynamic Portfolio Strategies is always there to help us in anything we need. “
Dynamic Portfolio Strategies enables you to offer institutional-quality active management and sophisticated strategies to every client – at scale. With our proprietary trading algorithm and dynamic rebalancing, we track funds daily to uncover emerging opportunities and improve portfolio performance.
16% annualized returns vs. S&P 500’s 10%
Outperformed S&P 500 in 11 out of 18 years
Down 8% during 2008 crisis vs. S&P’s -34%
68% growth in 2020 vs. S&P’s 18% growth
Turning data into better investment decisions
Our web-based software platform provides dynamic investment research signals and can be used for any type of investment in your fund universe, including mutual funds, ETFs, 401Ks, and variable annuities.
Volatility module runs to determine market volatility and adjusts the algorithms accordingly.
The fund tracker module identifies and selects the best performing funds in every sector.
The trading algorithm tracks the price changes for every fund over the last 10-30 days. A score is assigned based on the price movement.
The trading model utilizes the score to determine statistically which funds will continue to trend upwards.
Built from extensive research, real-world testing, and years of experience.
Our suite of institutional-caliber subscription models is precisely calibrated for different objectives and risk profiles, so you can confidently match clients to the right strategy. The CORE Models aim to optimize returns while reducing downside risk, making it a powerful tool for navigating changing market environments. *All returns are hypothetical
Growth Model
Income Model
Moderate Growth
Charlie has nearly 40 years of experience in the financial services industry. He began his career in 1986 as a full-service commission broker and spent nearly two decades building and managing a successful brokerage business rooted in the traditional “Buy and Hold” philosophy.
In response to the market volatility of 2001–2002, Charlie developed a dynamic asset management program designed to help advisors and their clients better navigate uncertainty. That vision led to the founding of Dynamic Portfolio Strategies (DPS) in 2007. Since then, DPS has grown into a leading provider of performance-driven trading models used by advisors nationwide.
Today, Charlie focuses exclusively on advancing DPS’s mission of delivering innovative, risk-managed investment strategies and equipping financial advisors with scalable tools to better serve their clients.
Kate Lindenberg has been with Dynamic Portfolio Strategies (DPS) since its founding in 2007, after graduating Magna Cum Laude from Miami University. While building her career, she also held leadership roles outside of DPS, including Director of Finance at The Arts Club of Chicago, Finance Manager at Lincoln Center for the Performing Arts, and Director of Finance at two New York City interior design firms.
In 2019, Kate returned to DPS full-time and has been instrumental in driving the company’s innovative expansion. She has led the development of upgraded software infrastructure and strategic initiatives that position DPS for continued growth and scalability.
Kate lives in Denver, Colorado, with her husband and their three sons.