General investment researchNYSE · NASDAQ

MCH Analysis

Evidence-led equity research, published for a general readership.

MCH Analysis publishes general, impersonal investment research and quantitative analysis — each thesis carried to an explicit claim, the indicators that test it, and the kill switch that breaks it. MCH Analysis is operated by MCH Advisory (Pty) Ltd.

Explore MCH Analysis →Corporate consulting →
881
Names under coverage
2
Markets covered
v4
Research standard
What MCH offers

Research, and separate corporate consulting.

§ Research · Consulting
MCH Analysis

Independent US equity research and quantitative analytics

Evidence-governed company research, rankings, quantitative analysis, options intelligence, market context and transparent performance measurement.

Corporate consulting

Non-investment work with companies

  • Corporate strategy & enterprise performance consulting — operating model, cost and margin structure, and competing with AI and technology.
  • AI & public policy — regulation, ethics and the intersection of artificial intelligence with markets.

Consulting is separate from the research publication and is not investment or portfolio advice to any person.

How MCH Analysis works Updated every trading day

Research built to survive the bear case.

§ Data · Engine · Rankings · MAS

881 US-listed companies, each run through the same disciplined process, with every number tied out. Every name is re-valued after each US trading session, and the rankings and our proprietary alpha score are rebuilt from the same numbers.

  • Every thesis is stress-tested against a real bear case before it is published
  • Fair value is a range, triangulated from five independent anchors
  • Rankings are built only from figures the model actually publishes, with no invented scores
  • Method changes go live only after passing pre-registered tests, and past calls are never backfilled
How MCH Analysis research is producedData sources (prices, fundamentals, SEC filings, news, options chains, call transcripts and FRED macro data) feed a per-stock engine that values, challenges and verifies every name under coverage. It produces three outputs: stock reports with a fair-value range, rankings, and the MCH Alpha Score. The cycle repeats every trading day. Realised results feed a hypothesis lab, where proposed improvements are pre-registered and shadow-tested before they change the engine.DATA SOURCESPricesFundamentalsSEC EDGAR filingsNewsOptions chainsCall transcriptsFRED macroPER-STOCK ENGINE881 namesValue5 anchorsChallengebear caseVerifyquality gateStock reports881 namesbearbullRankings16 tables12345MAS score0–100 · 1y & 5y0100realised resultsHYPOTHESIS LABhypothesis → pre-register → shadow test→ adopt or rejectTESTED IMPROVEMENTSEVERY TRADING DAY
One process, applied to every name, rebuilt daily and improved only through tested hypotheses

What's behind the numbers

Data

Primary sources, stored as filed

Prices, fundamentals and options chains come from a licensed market-data feed. Company filings come directly from SEC EDGAR, and macro series from the Federal Reserve's FRED database, alongside earnings-call transcripts and company news.

Financials are kept exactly as originally filed, so history is never quietly rewritten and every back-test sees only what was knowable at the time.

Rankings

League tables with nothing invented

Each ranking sorts the coverage universe on a single figure the model publishes: upside to fair value, margin of safety, expected 12-month return, probability of a loss, bull-to-bear risk/reward, quality, moat, forward P/E and the gap to Wall Street consensus.

Only names re-valued in the latest run and carrying a current rating can compete, so a stale figure can never top a table. Options strategies are ranked separately, on confidence-adjusted expected value measured against the market's own price.

MAS · MCH Alpha Score

One score, two horizons

MAS condenses a name's investment case into a 0–100 score on a one-year and a five-year horizon. It blends five core components: signal (expected alpha — the model's estimated excess return, as defined in the published methodology — and alpha per unit of risk), fundamentals (quality and moat), value (margin of safety), asymmetry (upside against downside) and confidence (conviction and volatility). Each input is ranked as a percentile across the whole universe.

Only Buy-rated names with positive expected alpha qualify. Stale data, weak quality, thin liquidity or a Reduce stance cut the score.

MAS is experimental. We publish it for transparency and track its forward record publicly; no rating or ranking depends on it. A score is a research measure, not a promise of any investment outcome.

Cadence

Updated every trading day

After each US trading session, every name is re-priced and re-valued, and the reports, rankings and MAS scores are republished together, so they always agree with one another.

New filings and call transcripts are added weekly. Each report is dated to the run that produced it, and past calls stay exactly as published.

Hypothesis testing

How the research improves without moving the goalposts

Every proposed change to the method, whether a new signal, a model correction or a different weighting, is treated as a hypothesis rather than an upgrade. It has to earn its place.

  1. 01HypothesisState the change, and the result that would prove it wrong.
  2. 02Pre-registerWrite down the test and its pass/fail bar before any results are seen, in an append-only, tamper-evident log.
  3. 03Shadow testRun it beside the live research, in shadow or as a side-by-side before/after, without touching published numbers, and measure it out of sample against realised, sector-relative returns.
  4. 04DecideAdopt it only if it clears the bar set in advance. Failures are recorded too, and a result that looks too good is treated as a bug until proven otherwise.

Adopted changes are dated and disclosed. Research that has already been published stays exactly as it was.

How we publish

Research designed to show its workings.

Every report is built the same way: a single falsifiable claim, the measurable indicators that test it, and the pre-committed kill switch that moves the rating. The method, the model status and the record of past calls are published — including the ones that failed.

Transparent methodologyEvidence-linked researchExplicit uncertaintyReproducible analysisPublished track recordModel governanceResearch history
01

Claim

A single, falsifiable thesis with a triangulated fair value and an explicit verdict on the rating scale.

02

Indicators

The handful of measurable signals that would confirm or break the claim — disclosed, not implied.

03

Kill switch

The pre-committed evidence that moves the rating, stated before the fact so the discipline is visible.

Research coverage
NYSE · NASDAQ

The S&P 900 (S&P 500 + MidCap 400) — 881 US-listed large- and mid-cap names, spanning all eleven GICS sectors.

Method
Triangulated + probabilistic

DCF, scenario trees and Monte Carlo triangulated to a single fair value, with a probability-weighted twelve-month target.

Every name carries
A verdict + a kill switch

A three-point rating, a triangulated fair value, and the pre-committed evidence that would move the call.

Distribution
Web · Model · Rankings

A full web report and an editable model for all 881 names, plus rankings, a screener and an options overlay.

About MCH Analysis

Research should answer to the evidence — and nothing else.

MCH Analysis is an independent publisher of general investment research, operated by MCH Advisory (Pty) Ltd. We publish structurally argued theses for a general readership — rigorous, evidence-linked, and not paid for by the companies we cover, with material holdings and conflicts disclosed under our Conflicts Policy.

Our edge is method: we make the argument explicit, the numbers reproducible, and the conditions for being wrong visible before the fact.

About MCH Analysis →

01

Rigorous analysis grounded in data, with material holdings and conflicts disclosed under a published policy.

02

Every claim carried to a verdict, with the evidence that would break it stated up front.

03

Structural signal over market noise; conviction shown in full, never merely asserted.

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