Auto-Invest, Explained: Rules That Do the Boring Part

Auto-Invest has a marketing problem: the name suggests something clever is happening. Nothing clever is happening. It is a rule engine. You describe the projects you are willing to fund and how much to put into each, and when a matching project appears, the rule allocates without asking you.

That is the entire feature, and it is more valuable than it sounds, not because automation makes better choices, but because it makes consistent ones, and because the main leak in a manual crowdlending portfolio is not bad selection. It is time.

The problem it actually solves

Two problems, both mundane.

Cash drag. Every euro sitting un-allocated in your balance earns nothing. Repayments arrive continuously, a bit of principal and interest every month from every loan, and each one starts earning nothing the moment it lands. If you log in fortnightly, that money waits. If you get busy for two months, it waits longer. Nobody notices this because the balance looks healthy; the loss is invisible, gradual, and entirely real. Over a year, idle cash can quietly take a meaningful bite out of a return you calculated using the headline rate.

Discipline decay. You start with a plan: spread across many projects, stay inside chosen grades, keep contributions equal. Three months in, you are funding whatever looks good on a Tuesday evening, in slightly larger amounts, because that particular project seemed compelling. Manual allocation drifts toward concentration and toward whatever story reads well. A rule does not have Tuesday evenings.

Auto-Invest fixes both by construction. It does not fix selection, because selection is not the leak.

What the rules control

A rule is a set of filters plus an amount. The filters mirror the fields on a project card, the ones we walk through in Reading a Project Card:

• Grade band. Which of AAA-C you are willing to fund.
• Rate range. Within the platform's 10-17% p.a. band.
• Term. Maximum commitment length.
• Amount per project. From the €100 minimum upward.
• Portfolio limits. How much total exposure a rule may build, and how much may go to any single borrower.
• Reserve. A balance floor the rule will not spend below, if you want to keep cash available.

When a new project matches, the rule allocates your specified amount. When nothing matches, nothing happens, a rule with narrow filters in a period of few listings simply sits idle, which is a real trade-off rather than a malfunction.

How to configure it, in the order that matters

1. Decide the number of projects first, not the amount per project.

This is the decision that determines your risk more than any other setting. Work backwards: a €1,000 balance spread at the €100 minimum is ten projects. The amount per project should follow from the number of borrowers you want to hold, not from which listing looks most persuasive.

Set the per-project amount as the output of your diversification target, not as a number that feels right.

2. Pick the grade band, then leave it alone.

The temptation with automation is to widen filters when nothing is matching. Understand what you are doing when you do that: you are not making the rule work better, you are accepting risk you had previously decided against, because waiting is uncomfortable. Idle cash is a cost, but it is a smaller and more predictable cost than a portfolio quietly sliding into a band you did not choose.

If you want exposure across grades, the honest way is to say so at the start, for example, separate rules with separate caps for different bands, so the mix is a decision rather than a by-product of what happened to be listed.

3. Cap single-borrower exposure.

Diversification across twenty projects is not diversification if six of them are loans to the same borrower. If a borrower's situation deteriorates, all of their loans deteriorate together. Set the per-borrower cap explicitly.

4. Set the reserve honestly.

If you know you may want funds back, do not solve it with a reserve on a rule, solve it by not committing money you might need. Contributions are committed to their projects until repayment. A reserve keeps un-allocated cash liquid; it does nothing for money already lent.

5. Then re-invest repayments through the same rule.

This is where Auto-Invest earns most of its value. Repayments flow back continuously in small amounts, and small amounts are exactly what people do not bother to allocate manually. A rule that re-deploys anything above the €100 minimum turns those trickles back into working capital.

What Auto-Invest does not do

We would rather be explicit than let the word "auto" do work it should not.

It does not assess anything. The rule allocates to projects that already passed our due diligence and received a grade. It applies your filters. It does not form a view, does not detect a problem we missed, and does not change its mind.

It does not reduce credit risk. Automation changes when and how consistently you allocate, not whether borrowers repay. A rule can be pointed at the riskiest band on the platform and it will do that faithfully.

It is not advice. Nothing about the availability of a rule, or a preset, is a recommendation that its settings are appropriate for you. We do not assess your circumstances and we do not provide investment advice.

It does not guarantee deployment. Narrow filters plus limited matching listings equals idle cash. The rule cannot create projects.

It does not get you out early. Plan on the assumption that everything a rule funds stays funded until the loan repays.

Where automation can work against you

Three failure modes worth naming, because they are the ones we see people walk into.

Over-wide filters as a fix for idle cash. Covered above, and it is the most common. The rule was not the problem; the supply of projects matching your risk appetite was. Widening the band converts a liquidity annoyance into a credit decision.

Set-and-forget for years. A rule is a decision you made once, under conditions that existed then. Your circumstances change, your portfolio grows, the mix of projects available changes. Reviewing your rules a few times a year is not micromanagement; it is the minimum to ensure the rule still reflects what you would choose today.

Confusing activity with progress. A rule that allocates frequently feels productive. Frequency is not a return. The metrics that matter are how much of your balance is deployed, how thinly it is spread, and how much of what is deployed is actually being repaid.

A sensible starting configuration

Not a recommendation, an illustration of how the reasoning fits together, for someone with a €1,000 balance who wants breadth over yield:

• Target 10 projects, therefore €100 per project.
• Grade band chosen up front and left fixed, accepting that some weeks nothing matches.
• Maximum term set to a horizon you are genuinely comfortable committing to.
• Single-borrower cap at one project, so ten projects means ten borrowers.
• Re-investment on, so repayments above €100 go back to work rather than sitting.
• Diary reminder twice a year to reread the settings.

The result is a portfolio where one default costs 10% of deployed capital, the money is rarely idle, and the composition is something you decided rather than something that accumulated.

The honest summary

Auto-Invest is a bookkeeping tool with a slightly grand name. It does the part of crowdlending that is repetitive, unrewarding and easy to neglect: putting small sums to work promptly and consistently, in the shape you chose while thinking clearly rather than the shape you would drift into while busy.

It will not save you from credit risk, because nothing does. Loans on this platform can be repaid late or not at all, capital is at risk, and no rule changes that. What it does is remove the two ways people lose money to their own calendar, cash sitting idle, and a portfolio that concentrates one convenient decision at a time.

If you want the mechanics behind what the rule is allocating into, start with Where Your Money Goes and How a Project Reaches the Platform.

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CrowdHive is a crowdlending platform operated by BellaVista Invest One AG (UID CHE-373.552.596), Zug, Switzerland, affiliated with the SRO VQF and supervised under Article 24 AMLA in respect of its anti-money-laundering obligations. CrowdHive is not a bank, balances are not covered by esisuisse or any depositor protection scheme, and lending involves the risk of partial or total loss of capital. Auto-Invest is an execution tool and does not constitute investment advice or a personal recommendation.