The metrics that matter sector by sector, the macro chain that moves everything at once, and what bull and bear markets actually mean.
A supermarket running a 3% net margin is performing well. A software company at 3% is in serious difficulty. A bank carrying enormous debt is operating normally, because debt is its raw material. Judging any of these by another’s standard produces a confident, wrong answer.
| Sector | The metric that decides | The trap |
|---|---|---|
| Banks | Net interest margin; loan losses | Debt ratios look alarming and are meaningless here |
| Biotech (pre-revenue) | Cash runway against the next trial result | No revenue means P/E and margin do not exist |
| Retail | Like-for-like sales; inventory levels | Total sales growth hides the effect of simply opening more shops |
| Software | Recurring revenue; net revenue retention | Fast growth masks customers leaving as quickly as they arrive |
| Energy and mining | Production cost per unit | Profits swing on a commodity price the company does not control |
Sector metrics tell you what good looks like. They do not tell you whether this particular company gets to keep it. A profitable position attracts competitors, competitors drive prices down, and the profits that attracted them disappear — unless something specific stops that happening.
That defence is the moat, and the durable ones are few. A good product is not among them: anything a well-funded rival can copy inside eighteen months is a head start, not a barrier. Run the six tests below against a company you are actually considering.
Before judging any number, ask what normal looks like in that industry — and then whether this company can defend it. A P/E of 8 is unremarkable for a bank and a red flag for a software business.
Inflation data determines what the central bank does with interest rates. Rates set the return available on government bonds. That bond yield is the baseline every other investment is measured against — so when it rises, profits expected far in the future are discounted harder, and the companies whose value rests on distant profits fall furthest.
That is why an interest-rate decision in Washington moves a European software share that has no US customers. The mechanism is the discount rate, not the business.
| Segment | Effect | Why |
|---|---|---|
| High-growth technology | Most negative | Value rests on profits years out, discounted hardest |
| Banks | Often positive | Wider margin between lending and deposit rates |
| Utilities, real estate | Negative | Heavy debt loads reprice; bond-like income competes |
| Consumer staples | Mildly negative | Demand is stable; valuation still compresses |
| Cash and short bonds | Positive | Paid more for taking no equity risk |
The table gives you the direction for five segments. The skill is applying the mechanism to a business the table does not list — and to a rate move in either direction, which is where memorising the table stops helping.
| Bull market | Bear market | |
|---|---|---|
| Definition | A sustained rise, commonly +20% from the low | A fall of 20% or more from the peak |
| Typical leadership | Growth, smaller companies, speculative names | Staples, healthcare, cash, large caps |
| Historical frequency | The default state over long periods | Roughly one every five to seven years |
| What usually ends it | Rising rates, or expectations that cannot be met | Rate cuts and earnings stabilising |
You cannot forecast the regime, and trying is how most private investors lose money. What you can do is size positions so that a 30% market fall is survivable, and know which way rates are moving before buying anything whose value depends on distant profits.
The Market Analysis tab shows the regime, the VIX and a sector heatmap. It reads very differently once you know what drives each sector and which way rates are moving.
Market Analysis →