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The Software Is Placing the Trades: Inside the AI That Now Runs Australian Portfolios
InvestAI is not a newsletter or a screener. It is trading software — an ensemble of frontier models that watches your holdings and executes the orders for you.
As featured in
The stack
Four frontier models, one execution engine — where they disagree, the trade waits.
OpenAI ChatGPT
Reads filings and transcripts for the trade thesis
OpenAI o-series reasoning
Sizes the position and stress-tests the valuation
Google Gemini
Watches live market and news triggers
Anthropic Claude
Reviews risk before any order is sent
OpenAI ChatGPT
Reads filings and transcripts for the trade thesis
OpenAI o-series reasoning
Sizes the position and stress-tests the valuation
Google Gemini
Watches live market and news triggers
Anthropic Claude
Reviews risk before any order is sent
Two years ago, a large language model could summarise an annual report. Today it reads the filing, cross-checks the guidance against eight quarters of transcripts, prices the revision — and then software sends the order. That last step is the whole story. The analysis was never the bottleneck. Acting on it was.
Key takeaways
- InvestAI is software that trades: it monitors your holdings and places the orders for you.
- An ensemble of frontier models sets the thesis; a rules engine executes it, every trading day.
- You keep the mandate — approve automatically or one tap at a time, with every trade explained.
What the software actually does
InvestAI connects to your brokerage account, takes a mandate — the risk you accept, the positions you will hold, the limits you will not cross — and then runs it. Every trading day it re-reads your holdings against the market, decides what needs to change, and places the trades. Rebalances, trims, exits, tax-loss harvesting before June 30: it executes them, not you.
You choose how much rope it gets. Full automation, where orders go out and you read the explanation afterwards, or approval mode, where each proposed trade waits for one tap. Either way, nothing is placed without a written reason you can audit.
Why the models made this possible
Information stopped being scarce a decade ago. What stayed scarce was the analyst-hour: the cost of one competent human reading everything, every day, and having the nerve to act. Frontier models — OpenAI's GPT line, Anthropic's Claude, the open Hermes and Llama families — collapsed that cost by roughly three orders of magnitude. Coverage that justified a $400,000 desk is now a background process running against your account.
Engineers already understand the shape of this. Claude Code did not make developers smarter; it made the expensive part cheap enough to do continuously. Capital markets are running the same play, one cycle behind — except here the output is not a pull request. It is a filled order.
“Invest AI App is no longer a secret you hold. It is a process you run - every day, without fatigue, without ego, without a bad morning.”
What investors say
“It rebalanced me back to target while I was asleep, then told me exactly why each order went through.”
Where the profit actually sits
Not in prediction. In compounding small, unglamorous advantages: rebalancing on schedule, harvesting losses before the deadline, catching a position quietly drifting to 40 per cent of your book, exiting a thesis the day it breaks rather than the month you admit it. Each is worth a few basis points. Together, executed relentlessly by software that never hesitates, they are worth more than most people's stock picking.
The honest caveat
Models are trained on the past, and the events that hurt portfolios are the ones that were never in the data. Automated execution is leverage on your judgement, not a substitute for it — you set the mandate, and you can halt it in one tap. Anything sold as a guaranteed forecast engine should be treated with suspicion.
The institutions handed execution to software eighteen months ago. The question is no longer whether the models are trading. It is whether they are trading for you.