Interpretation guide

Five lenses, one portfolio

Every model here is its own tool. You do not need them all to agree before you buy something — a strong stock can be a good position even if it never shows up as cheap or as a seasonal favourite. Learn what each one actually measures, then use the ones that fit how you invest. New here? Read the plain-English line under each model first.

The idea in one sentence

Pick the model that matches how long you hold things. Momentum for what is working right now, valuation for what is cheap, seasonality for calendar context, and institutional data to see who else is on your side. When several point the same way, that is a bonus — not a rule.

Three ways to use the desk

Momentum portfolio

Live in Leading Markets and Leading Stocks. You buy what is going up, you cut what stops leading. Valuation is secondary.

Value / swing book

Live in the Valuation Screener. You buy good businesses at bad prices and wait for the gap to close. Momentum is a filter, not the trigger.

Conviction stacking

Use all lenses together. A leading stock that is also cheap, entering a strong seasonal window and seeing insider buying is a higher-conviction case than any single signal.

One possible weekly routine

01Sunday: scan leading stocks — Pick the strongest names for the coming week. You can run this purely on momentum — no other confirmation needed.
02Any day: hunt your own cases — Use Valuation Screener for swing or long-term entries, Seasonality for calendar context, and institutional data to understand who is on the other side.
03Monday–Friday: watch the list — Let the Live Feed and price action tell you when something is happening. Do not chase — wait for the setup you marked.
04Layer when it helps — If a tracked name also enters a strong seasonal window or prints insider buying, that is extra conviction. If models disagree, fall back on the thesis you wrote down when you added it.

Model by model

Leading Markets

Where capital is flowingOpen model →

“Which parts of the market are actually outperforming right now — and is that move young or getting late?”

In plain English

Shows which parts of the world market — countries, sectors, themes — are strongest right now, and which ones are just starting to wake up.

What it measures

Relative strength and RRG position for 120+ global markets, sectors, factors and themes against a common benchmark over 1w / 1m / 3m windows, plus a 0–100 momentum score shown alongside the ranking.

How to read it

·RRG quadrant is more important than raw rank. Improving (bottom-left → top-right) is early flow, Leading is confirmed, Weakening is distribution, Lagging is avoid-unless-turning.
·A market climbing from Lagging into Improving on rising 1w RS is the cleanest setup in the model. Leading with falling 1w RS is usually a late entry.
·Momentum score is context, not a ranking input. Strong RS with weak momentum means the trend is being carried by a narrow group.

How it helps you trade

·Use it to decide where your capital should be. If a market is not leading or improving, it is off the table for new longs.
·Check the ETF-holdings link on a stock page to see if the name you like is actually inside a market that is receiving flow.
·Treat it as a top-down filter when you want one. You can still buy a strong single-stock momentum name even if its sector is not leading.

What it is notIt is not a timing tool for entries and it says nothing about valuation. A leading market can be expensive and still lead for months.

Leading Stocks

Who leads inside the flowOpen model →

“Inside the markets that are working, which individual names are doing the actual lifting?”

In plain English

A weekly list of strong stocks that have just paused for a breather, which is often where buyers step back in.

What it measures

A weekly relative-strength scan across the S&P 500 and the Swedish universe, ranking names on trend persistence and RS across multiple lookbacks, with sector shown per row.

How to read it

·The scan refreshes weekly on purpose. Sunday is the natural review point — use it to build your shortlist for the coming week, not to chase intraday moves.
·Cluster reading beats single-row reading. Three or four names from the same sector near the top is a sector statement, and usually more reliable than the top-ranked single stock.
·A name that stays top-quartile across several weekly scans is far stronger evidence than one that jumps in for one week.

How it helps you trade

·Every Sunday: scan the list, pick the strongest names for the coming week, and track them through the week.
·Use it as a standalone momentum list, or cross-check against valuation, seasonality and dark-pool data when you want extra conviction.
·Use it for both swing-trade momentum candidates and longer-term winners that are showing relative strength.

What it is notIt is not a quality or fundamentals screen. Momentum leadership includes fragile balance sheets and story stocks.

Valuation Screener

What you are payingOpen model →

“Is this cheap because it is mispriced, or cheap because it deserves to be?”

In plain English

Tells you which good companies are currently cheap — and which ones are cheap for a reason.

What it measures

A composite score across the S&P 500 and Swedish large/mid cap: 55% Value (forward P/E, EV/EBITDA, FCF yield, PEG, sector-relative, P/S), 25% Quality (ROIC/ROE, margins, leverage) and 20% Growth, plus side signals for 52-week drawdown, RSI(14) and a setup badge.

How to read it

·Read the Value / Quality / Growth split, never the headline score alone. High value with low quality is the classic value trap; high quality with mid value is what usually compounds.
·Setup badges are the fast filter: Strong buy = cheap, quality-vetted and in drawdown; Quality dip = good business off its highs; Value = cheap only; Wait = the pieces do not line up yet.
·Financials show n/m for EV/EBITDA, P/S and FCF yield on purpose — judge banks and insurers on P/E, P/B and ROE. A dash (—) means the underlying filing was unavailable this run, not that the number is bad.

How it helps you trade

·Use it to find stock cases: swing trades where price is disconnected from fundamentals, or long-term quality you can buy at a better price.
·Run it as a standalone value/swing book, or use it as entry-price discipline on names momentum already validated.
·Sort by setup priority to surface drawdowns in good businesses — that is where risk/reward is asymmetric.

What it is notIt is not a catalyst model. Cheap can stay cheap for years without a change in flow, and the screener cannot see the change coming.

Seasonal Tendencies

The calendar priorOpen model →

“Does the calendar put wind at my back or in my face over the next few weeks?”

In plain English

What a stock or index has usually done at this time of year, measured over decades of history.

What it measures

Averaged historical paths through the year for major indices and 500+ single names over 35y / 10y / 5y, with computed best and weak windows and qualitative drivers behind them.

How to read it

·Treat it as a conviction layer, not a trigger. It answers whether to be patient or aggressive on a case you already have.
·Consistency across the 35y, 10y and 5y paths matters far more than the size of the average return in any single window.
·Read the drivers text. A window backed by a structural cause (dividend cycle, index flows, reporting rhythm) is more durable than a statistical artefact.

How it helps you trade

·Layer it on top of a Leading Stock or Valuation case for extra conviction.
·If a name is entering its best seasonal window while it is also leading and cheap, the setup becomes more asymmetric.
·Live Feed alerts you when a watched name enters its best window.

What it is notAverages hide dispersion. A strong window can still contain very bad individual years, and regime beats calendar every time.

13F Holdings

Conviction, slowOpen model →

“Where are patient, concentrated pools of capital putting real weight?”

In plain English

What well-known long-term investors bought and sold last quarter, from their public filings.

What it measures

Quarterly institutional equity holdings for 28 tracked superinvestors: new positions, adds, trims and exits, with position weight relative to the manager's book.

How to read it

·Weight is the signal, not the dollar amount. A 6% position in a concentrated book says more than a 0.3% starter in a large one.
·Filings are up to 45 days stale and cover a full quarter — treat them as evidence of a thesis, never as a fresh entry trigger.
·Cluster ownership across several unrelated managers is meaningfully stronger than one famous name.

How it helps you trade

·Use it to understand what the patient side of the market is doing, and to stay on their side rather than against them.
·Underwrite a thesis you found elsewhere: it answers 'am I the only one seeing this?'
·New positions in names that also flag cheap in the valuation screener is a good idea-generation cross-section.

What it is notIt shows longs only, no shorts, no derivatives, no non-US listings — and no reason for the trade.

Insider Filings (Form 4)

Conviction, fastOpen model →

“Are the people with the best information buying with their own money?”

In plain English

When a company's own executives and directors buy shares with their own money.

What it measures

Every open-market insider transaction filed on Form 4, with role, size relative to holdings, and clustering across insiders at the same company.

How to read it

·Only open-market purchases matter. Sales are noise most of the time — they happen for taxes, diversification and scheduled 10b5-1 plans.
·Cluster buys — three or more insiders inside a few weeks — is the single most informative pattern in the model.
·CEO and CFO buys outweigh directors, and a purchase that meaningfully increases an insider's existing stake outweighs a token one.

How it helps you trade

·Best used as confirmation on a stock already flagged cheap or in drawdown: insiders buying into weakness is a genuine edge.
·Filing lag is only two business days, so this is the fastest fundamental-conviction signal on the site.
·Combine it with valuation: insider cluster + Strong buy badge is a higher-conviction case than either alone.

What it is notInsiders are early, not right. They routinely buy months before the price bottoms.

Dark Pools

Off-exchange fill mixOpen model →

“Is off-exchange fill behaviour in this name changing relative to its own norm?”

In plain English

How much of a stock's trading happens away from the public exchanges, and whether that share is unusual right now.

What it measures

FINRA off-exchange short-volume ratio (DPI) plus ATS venue distribution, shown as change versus the ticker's own 20-day average and as a Z-score, with raw session tables underneath.

How to read it

·A higher DPI means more buy-side fills, because the market maker sells short to fill the buyer. It is not bearish sentiment.
·Only the delta and Z-score against the ticker's own history mean anything. Absolute levels differ structurally per stock and are not comparable.
·Smooth over several sessions. One-day spikes are usually ETF creation, hedging or options market making — not a directional buyer.
·Mind the lag that is printed next to the data: daily short ratio is T+1, ATS venue detail runs roughly three weeks behind.

How it helps you trade

·Use it to understand how a stock is trading behind the visible tape, not as a primary signal.
·As a supporting read on a case built elsewhere: persistent above-average DPI during a price base is consistent with quiet accumulation.
·Compare the raw session table before trusting any summary read-out.

What it is notIt is not proof of institutional buying, not a same-day timing tool, and never a substitute for price.

When overlap helps

You do not need overlap to take a trade. But when several models point the same way, the case becomes more asymmetric. These are examples of higher-conviction combinations:

Highest-conviction long

Leading market + leading stock + Strong buy/Quality dip badge + insider cluster buy. Rare, and worth waiting for.

Swing case

Leading stock + cheap valuation + entering seasonal best window. Momentum, price discipline and calendar tailwind aligned.

Quality long-term entry

High Quality score, mid-to-high Value score, 15–30% off highs, strong seasonal support. Buy in tranches.

Quiet accumulation

Price basing sideways, DPI persistently above its own 20d average, a new 13F position from a concentrated manager. Early — size small.

When the models disagree

Cheap but no momentum

The valuation screener likes it, the RS scans do not. That is fine if you are a value/swing trader. You are early, not wrong. Wait for the price to stop falling or scale in slowly.

Leading but expensive

Momentum is real, the price is not attractive. This is a trend trade, not an investment. Size it smaller and define the invalidation level.

Insiders buying into a falling stock

Insiders are informed but early. Treat it as a reason to start work, not a reason to buy today. Wait for price confirmation or scale in slowly.

Dark pool fills up, price down

Most often hedging, ETF creation or options market making — not a hidden buyer. Discard unless the pattern persists for several sessions and something else corroborates it.

Strong seasonality, weak regime

Regime wins. A best window in a market rotating into Lagging is a reason to skip, not a reason to buy.

Words you will see, in plain English

Relative strength (RS)

Is this rising more than the overall market? Not the price move itself — the difference against the benchmark.

RRG quadrant

A four-box map: Leading (strong and still gaining), Weakening (strong but fading), Lagging (weak), Improving (weak but turning up).

Momentum

How fast something is moving in its current direction.

Pullback

A short dip inside a bigger uptrend — a pause, not a breakdown.

Forward P/E

Price divided by next year's expected profit per share. Lower usually means cheaper.

FCF yield

Cash the business actually generates, as a percentage of its market value. Higher is better.

Quality score

How good the business is: returns on capital, margins and how much debt it carries.

Drawdown

How far the price sits below its highest point in the last 12 months.

RSI(14)

A 0–100 speedometer for recent price moves. Low means beaten down, high means stretched.

13F

A quarterly filing where big US investors must publish their stock holdings — up to 45 days old.

Form 4

A filing an executive or director submits within two days of trading their own company's shares.

Dark pool / DPI

Trading that happens off the public exchanges. DPI is that share of volume for one stock, best read against its own recent average.

n/m

Not meaningful — the number does not apply to that kind of business (a bank has no EV/EBITDA).

— (dash)

The data provider did not report the number in this run. Missing, not bad.

House rules

01Each model is allowed to stand alone. Know what it measures and use it for that purpose.
02Overlap raises conviction; disagreement does not kill a trade. Let your holding period and style decide which model wins the argument.
03Sunday is for scanning, weekdays are for watching. Refreshing weekly models more often only adds noise.
04Know each model's lag: Form 4 is T+2, short ratio T+1, ATS venue data ~3 weeks, 13F up to 45 days.
05A missing number is not a bad number. n/m means the metric does not apply to that business; — means the filing was unavailable.
06Write the thesis down when you add the name. If you cannot state it in one sentence, you do not have one.

Everything on this site is systematic output from public data. It is research and information, not investment advice, and not a recommendation to buy or sell any security. See the terms of use.