Automated investment research
The research is already done before you upload anything.
Every market night AI Alpha Engine reads the market for you — prices, company news and analyst actions across the covered universe — scores what is leading, and reasons about what it all means. That research covers the whole universe and exists before you upload anything. Adding your holdings is what points it at your actual positions.
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The engine, as it stands today
388companies covered
30economic drivers tracked
113themes mapped
2 329evidence items under analysis
5+ yearsof market history analysed
Latest research published 2026-08-01.
Live figures, read from the platform’s own database when this page loaded — not marketing estimates.
How the research gets made
Four stages, and the first three finish before you have an account. The reasoning about what the market is doing is not waiting for your portfolio — by the time you upload one, the research it gets measured against already exists.
1
Every market night · no account needed
Collected and measured
Prices, company news, earnings and analyst actions are pulled in across the whole covered universe, and every name is scored on momentum and relative strength against a global benchmark. Each item is also attributed to the company it genuinely concerns, and repeats of the same story are collapsed. This stage is arithmetic and rules — the same inputs give the same numbers every time.
2
Every market night · still no portfolio involved
Reasoned about, across the whole universe
Now models do read the evidence — and this is the stage most of the value sits in. What each catalyst actually means gets classified, and then a frontier model reasons across the entire covered universe: which economic drivers and themes are leading, which are fading, and where each company's investment case now stands. This is global research, and it exists whether or not anyone has signed up.
3
Every market day · published in the open
Turned into a public model portfolio
That global research is enough to build a portfolio from on its own, with no user holdings anywhere in the picture — which is exactly what happens every market day, in public, in Today’s Stock Picks. It is the same research you would be buying, shown before you buy it.
4
When you add your holdings
Applied to what you actually own
A second reasoning stage reads your real positions and weights against the research that already exists, and writes the report: what still holds, what has weakened, what looks like it needs a decision. This stage is about your portfolio — it does not go and re-derive the market.
So the difference from a chatbot with a ticker box is not that this platform uses less AI — it is where the AI sits. The reasoning about the market is done in advance, over the whole universe, and recorded with the evidence behind it. Your holdings are read against that, rather than being the moment a model starts thinking.
What the research answers for you
Point the engine at the holdings you already own and the nightly research stops being general market intelligence and starts being about your portfolio. These are the questions it answers, every market night, without you asking again.
descriptionWhere does my portfolio actually stand?
A written report each market night on the themes, economic drivers and catalysts acting on what you own — and what they add up to, rather than which line is green.
dashboardWhat needs my attention first?
The positions to look at before the rest, ranked by what changed, so a review starts from a shortlist instead of a blank page.
account_treeAm I positioned where capital is going?
Which economic drivers you are actually exposed to, how each ranks against the global benchmark, and how much of your portfolio sits in what is currently leading.
fact_checkDoes the reason I bought it still hold?
Each holding’s original case re-tested against recent evidence, and an explicit answer when it stops holding — not silence.
newspaperWhat happened on my names that I missed?
The catalysts, upgrades and downgrades that genuinely concern your companies, filtered clear of the newswire noise that arrives tagged with their symbols.
updateDo I have to remember to run this?
No. The research runs overnight and the report is waiting in the morning — the engine does not wait to be asked.
Plus more, including Analysis: every completed import is kept as an immutable snapshot and repriced at today’s prices, showing whether keeping those holdings unchanged would have left you with more money than your latest recorded portfolio is worth today. Capabilities continue to expand as the platform evolves.
Analysis is generated by AI based on market data and is not personalised financial advice.
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Who this is for
AI Alpha Engine is built for people who pick their own holdings and want the research burden lifted — not the decision taken.
Self-directed investors
You choose your own positions and you would rather not spend your evenings reading filings and news feeds to find out whether anything changed.
Investors holding a real portfolio
You already own something. The value is in research measured against your actual holdings and weights, not a generic watchlist or a stock screener.
People who want the evidence shown
You want to see which catalyst or analyst action drove a conclusion, and to disagree with it. Every finding names the evidence behind it.
It is not for you if you want trade signals to follow, automated execution, or someone else’s conviction. The engine does research and shows its work; the decisions stay yours.
Why you can check this yourself
- The methodology is written down: which signals are computed, what counts as evidence, and where the language model is allowed to reason and where it is not.
- Conclusions cite the catalyst or analyst action behind them. Where the engine cannot support a claim it says so instead of filling the gap — a report that fails its own checks is withheld, not published thin.
Read the methodology
This information is for informational purposes only and should not be considered investment advice. Investing in securities involves risk, including loss of capital. Past performance is not a guarantee of future results. AI-generated analysis may be incomplete or incorrect; verify information before making investment decisions. ·
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