Test build for hcp.test.projects.ababii.ch · draft proposal, not the production hcp.ch site

hcp.ch / the-idea

The idea behind HCP.

Not another product shelf — a machine-learning stock-selection engine, built in-house over several years, applied where it's actually been tested.

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Reproduced from the live hcp.ch disclaimer (last updated April 2024) — abridged in the liability/IP sections for this preview, condition-for-condition unchanged.

Grounded in hcp.ch/ai.html & HCP's blog — framing below is this preview's synthesis
While the market talks about LLMs, HCP spent the last several years building something narrower: a machine-learning engine whose only job is picking stocks.
01

Built in-house, not bought

HCP's stock-selection engine is proprietary machine learning developed internally over multiple years of research — not a licensed model or a marketing wrapper on someone else's LLM.

02

A narrow job, done deliberately

Not a general-purpose AI assistant — a model trained specifically to rank and select equities, independent of the current LLM cycle.

03

Tested, then extended

Applied first to European large caps (the Euro Stoxx 50), then extended into new US-market products — a track record before a launch, not the reverse.

HCP doesn't publish the engine's methodology or current performance on the open web — per their own site, that detail is shared directly: contact@hcp.ch.

Positioning

Why HCP, relative to the alternatives

Draft — a real comparison needs HCP's actual peer set

vs. a private bank

No in-house products to place — the incentive is the mandate's performance, not this quarter's structured-note shelf.

Trade-off to be honest about: less balance-sheet, fewer ancillary services (lending, custody-in-house).

vs. a robo-advisor

The stock-selection itself is systematic — the same ML engine end to end — but a licensed team still makes the call on a client's actual portfolio, not a questionnaire-assigned model.

Trade-off to be honest about: higher minimums, less automation, human-paced onboarding.

vs. a large asset manager

A stock-selection engine built and owned in-house, not licensed from a data vendor — and a mandate that's a relationship, not an account number.

Trade-off to be honest about: smaller research bench, narrower strategy shelf.