Predictive modelling
Models use historical and current pricing data to estimate how an asset might move over the coming days. The output is a probability range, not a guarantee — you decide what to do with it.
Thach Nganvinh analyses market and pricing data continuously and turns the output into plain-language recommendations. Start with whatever you can set aside — there's no minimum deposit.
Between shifts, deliveries or client calls, there's rarely a spare evening to read market reports and cross-check numbers by hand. Most people checking investments manually end up relying on guesswork or data that's already out of date by the time they act on it.
Thach Nganvinh runs the analysis continuously in the background. When conditions change, you get a notification and a recommendation — not a stack of raw figures to interpret yourself.
Market and pricing data arrives continuously from licensed sources.
Predictive models compare current conditions against historical patterns.
You receive a short, written recommendation with the reasoning attached.
Three functions sit behind every recommendation you see.
Models use historical and current pricing data to estimate how an asset might move over the coming days. The output is a probability range, not a guarantee — you decide what to do with it.
Every position is scored against current market volatility. If risk rises sharply, you're shown the change immediately rather than at the end of the week.
Instead of a dashboard full of charts, you get a short written recommendation — hold, reduce or increase exposure — along with the reasoning behind it.
No testimonials, no case studies — just the mechanics of what happens between data arriving and a recommendation reaching you.
Market data, pricing feeds and your portfolio details are pulled in from public and licensed sources. Nothing is entered manually, so there's no lag between a market move and the data reaching the model.
The data is run through predictive models that compare current conditions against historical patterns. Each asset in your watchlist is re-scored several times a day.
Results are translated into a short recommendation with a stated confidence level. You see the reasoning behind it, not just a number on a screen.
Thach Nganvinh was built on a simple observation: most investment tools assume a steady salary and a lump sum to start with. Gig economy income doesn't work that way — it arrives in smaller amounts, at irregular intervals.
We designed the platform so that depositing £15 after a shift is treated the same as depositing £1,500 in one go. The analysis, the recommendations and the running costs are proportionate, not fixed. The platform doesn't replace financial advice — it gives you a faster, clearer read of the data so your own decisions are better informed.
Pragmatic answers to the questions people ask before they start.
Your account and portfolio data are encrypted in transit and at rest. We don't sell your data to third parties, and access is limited to what's needed to run the analysis.
There's no minimum deposit and no setup fee. Running costs are deducted proportionally, so a smaller account pays a smaller amount in absolute terms.
No. Recommendations are written in plain English, with the reasoning shown alongside each one, so you can learn as you go rather than needing prior knowledge.
Yes. There's no lock-in period and no penalty for withdrawing your balance whenever you need to.
Risk scores update in real time, so a sharp move triggers a new recommendation rather than waiting for the next scheduled check.
No minimum deposit. No fixed contract. Close your account whenever you choose.