For an individual trader, automation begins with a practical question: can a computer follow the plan when the person behind the screen hesitates?
A trading system can monitor conditions, calculate position sizes and submit orders according to predefined rules. That creates an opportunity to make execution more consistent. It also creates a responsibility to understand what happens when the data feed fails, an order is rejected or market conditions change.
Automation is already part of the market
The SEC’s 2020 report to Congress examined algorithmic trading’s benefits and risks across U.S. capital markets. The regulatory conversation therefore starts well beyond whether computers should be allowed to trade. Read the SEC report on algorithmic trading.
For retail traders, the appeal is understandable. A clearly defined strategy can specify when to enter, how much to risk and when to stop. Software can apply those instructions repeatedly, without needing a trader to watch every candle.
But automating a strategy does not establish that it has an edge. A weak strategy can lose money more consistently once execution becomes automatic. Backtests also need context: trading costs, slippage, drawdowns, the period tested and whether the rules were evaluated on data they were not designed around.
For the practical steps, our automatic trading guide explains how signals, alerts, order routing and brokers connect.
AI claims need evidence
Artificial intelligence adds another layer. Some systems follow fixed rules; others use statistical models or machine learning. Calling both “AI trading” can hide meaningful differences in how they operate and how their results should be evaluated.
The SEC has already acted against misleading AI claims. In March 2024, it announced settled charges against investment advisers Delphia and Global Predictions over false and misleading statements about their use of artificial intelligence. The firms agreed to pay a combined $400,000 in civil penalties. Read the SEC enforcement announcement.
Will the SEC get on board?
Its existing treatment of robo-advisers provides a useful answer: automated services can operate within the regulatory framework, but automation does not remove the obligations that apply to the business. SEC investor guidance explains that robo-advisers must comply with the securities laws applicable to their advisory activities. Read the investor bulletin on robo-advisers.
The policy picture can also change. In June 2025, the SEC withdrew its proposed rules addressing certain conflicts associated with predictive data analytics. That withdrawal concerned a specific proposal; it was not an endorsement of trading bots or a removal of existing securities-law obligations. Read the SEC withdrawal notice.
For futures markets, the regulatory discussion also involves the CFTC. Its December 2024 staff advisory reminded regulated firms that their existing obligations continue to apply when they use AI. Read the CFTC staff advisory.
What responsible retail automation can deliver
The strongest opportunity for retail automation is practical: make strategies easier to test, execution easier to inspect and risk limits easier to enforce.
Our assessment is that wider acceptance will depend on those capabilities. Traders need to see what a system does, understand its limitations and retain a clear way to stop it. Providers that can demonstrate those qualities have a stronger story than those selling the idea that a machine has solved uncertainty.
Analysis published September 12, 2026. AI-assisted editorial content based on the linked primary sources. Loomi.Ai sells trading research and software subscriptions. This article is educational, not individualized investment or legal advice. No regulator endorsement is implied. Historical results do not guarantee future returns.