Real client data
Do all clients really get the same result?
Every client follows the same strategy, and every return on this page is measured the same way — indexed to your own starting portfolio, so topping up never flatters the number. What differs between two clients is which stocks they ended up holding, bought at which prices and in which weights — never the strategy they were given.
Clients in profit
Return this year
Loading live figures…
Before you read the numbers
Past performance does not guarantee future performance. Investing in the stock market carries risk, including the risk of losing your principal. Every figure on this page describes what has already happened; none of it is a projection or a promise.
The core answer
Same strategy for everyone. Different join dates.
Each point is the average all-time return of everyone who joined in that month. The shaded band shows how far individual clients in that group sit from their own group's average — so a wide band means the people who started together ended up further apart.
Return by join month
Cohort average, with a ±1 standard-deviation band
Loading live figures… Returns are all-time for each cohort, not the return earned during that period. Months with no joiners are left as gaps rather than plotted as zero. Past performance does not guarantee future results.
What the shape of this chart is really telling you
The cohorts with the highest returns are not the lucky ones — they are the oldest ones. The longer your capital stays invested, the more room the process has to work and the higher the likelihood of a good outcome. If you are considering investing with us, come in with a long-term mindset.
We are not looking for quick wins or quick riches, and we would rather you did not either. We look for sustainable, process-oriented investments that optimise for long-term survivability — staying in the market for years, not catching a good quarter.
So why don't two clients see the same number?
Four reasons, none of them a different strategy.
You joined in a different month
You started when a different set of stocks was on offer, at different prices. Adira traded around Rp9–10k in 2023; once it reached ~Rp13.5k we stopped buying it, so clients who joined later hold a different mix entirely.
Your top-ups landed at different moments
Two clients can start the same month and still drift apart: each top-up buys whatever the process is buying that week, into different stocks and different weights.
Some clients say no to a recommendation
Every recommendation is yours to accept or decline. A client who passes on one thesis and keeps the rest ends up holding a different portfolio from a client who took all of them — by their own choice.
Some accept but never execute
Others agree with a recommendation and simply don't place the order — travel, a busy month, cash that hadn't landed yet. The recommendation was the same; the portfolio that came out of it isn't.
That last gap is narrower in the newer cohorts than the older ones. It is the part of the spread we can actually do something about, and the reminder system that chases an unexecuted recommendation has got a lot better since the early clients joined.
The part that is the same for everyone
Returns are indexed to your starting portfolio, exactly like a fund's unit price, and every top-up buys in at the level of the day. A client who tops up ten times and a client who never tops up are measured on the same basis. What differs is which stocks you ended up holding — never how we treat you.Where every client actually sits
Not a selected portfolio, and not a top-performers list — every active client, in one picture.
Distribution of client returns
Loading live figures…
The real spread
The full shape, including the part that isn't flattering
A single headline number hides the tails. This is every client's return in one line, worst on the left and best on the right, so the weakest results are as visible as the strongest.
Cumulative distribution of client returns
How to read it: pick any return along the bottom axis, and the curve above it tells you what share of clients did that well or worse. Read off the 0% mark and you get the share of clients currently down; the far right end is the best result anyone has. Where the curve is steep, a lot of clients are bunched around that return; where it is flat, few are.
Loading live figures…
How it works
Funds never leave your hands
Everything stays in your own brokerage account, in your name, and the decision on every recommendation remains yours.
Incentives are aligned
Fees are charged from the performance of your overall portfolio. If it doesn't perform, we don't earn.
Prepared professionally, shared transparently
Each thesis is researched and published by a licensed Penasihat Investasi, for you to evaluate yourself before you execute it.
Methodology
- How returns are measured
- Each client's starting portfolio is set to a base level, like a fund's unit price, and every top-up buys in at the level of the day. Returns are therefore top-up-neutral: how much you add, and when, cannot flatter or drag the percentage. There is no separate money-weighted figure on this page.
- What the numbers cover
- Every figure covers all active clients who have started — not a selection, not a model portfolio, and not a best-of. Series are aggregated and anonymised, so no individual client's data appears here.
- Benchmark
- IHSG (IDX Composite), compared over the same period as the headline return.
- Limits
- We do not beat the index every year — in 2025 Recompound returned about 17.5% against IHSG's 22.1%. We optimise for consistency across clients and across years, not for winning every single one. Past performance does not guarantee future results.