Traditional stock analysis disappoints. Analysts face conflicts of interest, media pundits chase ratings, and even well-intentioned advisors fall victim to bias. The result? Investors chase yesterday's winners and miss tomorrow's opportunities. The Obermatt Method offers a fundamental shift. Instead of relying on subjective opinions or absolute metrics that fluctuate with market mood, we've developed a systematic approach that reveals true competitive performance through peer comparison. It's time for a better way.
Markets are psychological battlegrounds where fear and greed drive prices far from fundamental value. While mainstream investors chase trending stocks featured in financial media, our methodology systematically scans the entire market universe, analyzing thousands of companies across sectors, geographies, and market caps that individual investors simply don't have time to research. Traditional analysis fails during market extremes; great companies look terrible in bear markets, while mediocre firms shine in bull runs. Our relative ranking system maintains consistency across all market conditions. A company whose profits decline by 10% while its competitors drop by 30% demonstrates superior management and resilience. Our ranks capture this outperformance while absolute metrics miss it entirely.
Human psychology sabotages investment returns through well-documented cognitive biases: recency bias, confirmation bias, and many more. Our algorithmic approach operates without emotion, processing thousands of data points objectively. Consider a popular electric vehicle manufacturer during market euphoria, showing a Growth Rank of 95 but a Value Rank of only 15; while momentum traders chase the story, our methodology reveals the risk-reward imbalance. The result? Consistent outperformance versus market indices, lower drawdowns during corrections, and recommendations based solely on financial reality, not psychological traps that cost investors billions annually.
Obermatt indexes company performance through a rigorous computational process. We systematically compare each company's metrics against its true peers: companies that operate in similar markets, follow comparable business cycles, face equivalent regulatory environments, and compete for the same customers. This peer universe selection is critical. A pharmaceutical company shouldn't be compared to a software firm, even if they're similar in size. This peer-based approach reveals genuine outperformers regardless of market conditions. When markets rise, we identify companies rising fastest. When markets fall, we spot those with the strongest resilience. By measuring performance relatively rather than absolutely, we eliminate the noise of market volatility and expose true competitive advantage.
The choice is clear: continue relying on biased opinions and emotional decisions, or embrace a proven systematic approach that identifies opportunities others miss.
Our transparent methodology means no black boxes or mysterious algorithms, just straightforward, powerful analysis that consistently identifies tomorrow's winners. Whether you're an individual investor seeking clarity or a professional advisor pursuing excellence, the Obermatt Method transforms how you approach stock selection. Our analysis helps investors increase their confidence, reduce time spent on analysis, and provides a consistent methodology for investing in stocks.
Join the growing community of investors who've discovered that when it comes to stock analysis, facts beat opinions every time. Begin your free trial today and see why systematic, bias-free investing isn't just different; it's better."
Wall Street's advantage has always been access to data, analysis, and computational power. The Obermatt Method levels this playing field. Our rank system makes institutional-quality analysis accessible to everyone, regardless of financial background. No need to decipher balance sheets, calculate complex ratios, or understand options Greeks. If a company ranks 85 in Value, it's more attractively priced than 85% of its competitors — a simple, clear, and actionable metric.
True Fee Transparency and Aligned Incentives
Traditional financial services profit from complexity and activity. Banks earn commissions on trades. Advisors push high-fee products. Fund managers collect fees regardless of performance.
These misaligned incentives cost investors billions annually. Our subscription model flips this dynamic. We succeed only when our research helps you grow. No hidden agendas, no pressure to trade,
no conflicts of interest — just pure, unbiased analysis. The cost of our service is transparent, predictable, and typically recovered through a single avoided investment mistake.
Compound Your Time and Knowledge
Manual stock research is both time-intensive and prone to error. Analyzing a single company properly requires hours of spreadsheet work, ratio calculations, and peer comparisons. Multiply that by a diversified portfolio, and it becomes a full-time job.
Our comprehensive weekly updates deliver everything you need in minutes:
First-Mover Advantage in Stock Selection
In professional investment management, information arbitrage drives returns. While competitors rely on the same Bloomberg terminals, analyst reports, and financial media, Obermatt users access unique insights into undervalued companies before they attract widespread attention.
Our systematic approach uncovers opportunities across the entire market:
Scalable Research Infrastructure
Building proprietary research capabilities requires a massive investment in data, technology, and personnel. Our platform provides instant access to institutional-grade analytics without the overhead:
Free yourself from routine number-crunching to focus on high-value activities, such as client consultations, portfolio construction, and strategic planning.
The higher, the better. For every stock, we judge its performance against its peers and rank it on a scale of 1 to 100. These ranks are percentiles: a rank of 75 means the company outperforms 75% of its peers in that specific area. The higher the rank, the better the stock stacks up against its peers.
