aktienanalyse.ai

Learn stock analysis: guides & basics

Eight guides that teach you the tools of stock analysis – from the basics to metrics and valuation, strategy and investor psychology. No jargon, with concrete numerical examples.

Basics

How to analyze a stock, step by step

How do you analyze stocks? Analyze stocks properly in 5 steps: business model, growth, balance sheet, valuation, risk – with key metrics and a work …

Reading P/E, PEG, P/S and EV/EBITDA

P/E, PEG, P/S and EV/EBITDA compared: formulas, worked examples, when each ratio fits – and how to compare EV/EBITDA correctly within an industry.

Fair value & DCF: what a stock is worth

What is the fair value of a stock and how do you calculate it? The DCF method step by step, with a worked example, sensitivity analysis, a multiple …

Quality stocks: moat, ROIC and margins

How to spot first-class quality: stable margins, ROIC above the cost of capital, strong free cash flow and a real moat – plus the quality traps tha …

Bull & bear case: thinking in scenarios

Why point forecasts fail and how a bull, base and bear scenario plus expected value help you make better investment decisions, with a worked example.

Portfolio diversification done right

Diversification done right: spot hidden concentration risks, choose sensible position sizes, understand correlation and rebalance wisely.

AI stock analysis: what it can and cannot do

How AI stock analysis really works: strengths like speed and consistency, limits like hallucinations – and how to recognize trustworthy tools.

The 10 most common investing mistakes

The 10 most common investor mistakes and cognitive biases in the stock market, from loss aversion to FOMO to overtrading, and how to avoid each of …

Look it up

Glossary: every term in stock analysis

From P/E and PEG to free cash flow and moat – explained briefly and clearly.

To the glossary → Transparency

Methodology: how the AI analysis is made

Data, industry comparison, score profile, DCF and multiples models – and what the AI does.

To the methodology →

Where do I start?

If you’re new, it’s best to read the guides in the order shown above: first you’ll learn the process of a stock analysis, then the most important valuation metrics and how to derive a fair value from them using the DCF model. After that, the focus is on what a company really does well (quality stocks), how to deal with uncertainty (bull and bear case) and how to spread a portfolio sensibly (diversification). Finally: what AI can do in stock analysis – and which thinking errors cost even experienced investors money.

These exact concepts are also part of every analysis on aktienanalyse.ai. If you want to understand how the score, industry comparison and fair value range are calculated in practice, read the methodology.

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