# Robo-advisor

Robo-advisor is a digital investment service that uses automated rules or models to recommend and, when authorized, manage a portfolio according to an investor’s goals and risk tolerance.

## What it means

A robo-advisor typically turns information about an investor’s goals, time horizon and risk tolerance into a proposed portfolio. Depending on the service and the investor’s authorization, it may also place trades and rebalance holdings to maintain target allocations. Its main task is ongoing portfolio guidance or management, rather than evaluating the execution conditions of one proposed stock trade.

The word *automated* does not mean every decision is made by artificial intelligence. A service may rely on preset rules, quantitative models, human oversight or a combination. It also does not mean every investor receives the same portfolio: inputs and account restrictions can change the result.

## How it is calculated

There is no universal robo-advisor formula. One common calculation is a portfolio allocation: `target dollar amount for asset i = portfolio value × target weight for asset i`. Here, *portfolio value* is the amount being allocated, in US$; *target weight* is the intended fraction of the portfolio, expressed as a decimal; and *target dollar amount* is the resulting US$ allocation. Target weights across all assets normally total 1, or 100%.

A simple rebalancing calculation is `trade amount for asset i = target dollar amount for asset i − current dollar value of asset i`. Both amounts are in US$. A positive result identifies an amount needed to reach the target; a negative result identifies an excess relative to the target. This is allocation arithmetic, not a complete trading instruction: actual services may account for cash, taxes, account restrictions, minimum trade sizes and transaction costs.

## Worked example

Suppose, hypothetically, an account contains US$10,000 and has target weights of 60% in a stock fund and 40% in a bond fund. These are round numbers for illustration, not a suggested allocation.

1. The stock fund’s target dollar amount is US$10,000 × 0.60 = US$6,000.
2. The bond fund’s target dollar amount is US$10,000 × 0.40 = US$4,000. Together, the targets equal US$10,000.
3. Suppose the current values are US$6,500 in the stock fund and US$3,500 in the bond fund. The account remains worth US$10,000, but its weights are now 65% and 35%.
4. Ignoring costs and other constraints, the rebalancing differences are US$6,000 − US$6,500 = −US$500 for the stock fund and US$4,000 − US$3,500 = +US$500 for the bond fund.

The calculation shows the amounts that would restore the hypothetical targets. It says nothing about whether those targets suit an investor or what the funds will return.

## Why it matters before you trade

If a service proposes a portfolio change, separate the *allocation decision* from the *trade execution*. A target weight describes the desired holdings; it does not establish the price at which an order will fill. Before an order, relevant checks can include position size, concentration, liquidity, estimated spread and market impact. These costs and risks can matter even when an automated allocation calculation is arithmetically correct.

Also check what the service is authorized to do. A tool that displays analysis is different from one permitted to place trades or manage an account. A proposed rebalancing amount is not evidence that a trade has occurred.

## How PreTrAIde uses it

PreTrAIde is not a robo-advisor or portfolio manager. It is an AI platform for **pre-trade analysis** of stocks: a user builds a basket with a side, quantity and execution conditions for each line, then runs an analysis before placing any order. PreTrAIde returns GO, NO-GO or MODIFY verdicts for the basket and each line, alongside a model-estimated success probability, risk assessment, suggested execution strategy and plain-language reasoning. These verdicts support decisions; they are not investment recommendations. Users place any trades themselves through their own broker.

A pre-trade check can therefore examine a proposed stock basket, including its concentration and estimated execution costs, without selecting an investor’s overall asset allocation or managing an account.

## Common mistakes

- **Treating a target allocation as a return forecast.** A 60% target weight describes portfolio composition, not expected performance.
- **Assuming all robo-advisors execute trades automatically.** The service’s features and the investor’s authorization determine what it can do.
- **Ignoring execution when rebalancing.** The arithmetic may be simple, but spreads and market impact can affect actual costs.
- **Calling every AI investing tool a robo-advisor.** AI-assisted pre-trade analysis and ongoing portfolio management serve different purposes.

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Source: https://pretraide.com/glossary/robo-advisor