Education
What Is AI Trading? A Plain-English Guide from Skyward Invexa
You have probably heard that AI is changing how people invest. But what does AI trading actually mean, how does it work, and is it right for you? This guide explains it all in simple terms, including the parts most platforms do not talk about.
- What AI trading is, in plain English
- How it differs from algorithmic and manual trading
- The real risks, and the myths to ignore
- How to check a platform before you sign up
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-0.31%What Is AI Trading?
AI trading is the use of artificial intelligence to analyse financial markets and make or suggest trades. AI models study large amounts of data, such as prices, news, economic reports and market sentiment, to find patterns. They then create trade signals or place trades automatically, based on rules the trader sets.
In short: the AI does the research and the watching. You set the goals and the limits.
How Does AI Trading Work?
Every cycle runs the same five stages, from raw data to a finished trade.
- 01
Data Collection
The AI gathers live prices, volume, company results, economic data and news.
- 02
Analysis
Machine learning models look for patterns that have often come before price moves.
- 03
Signal
When a setup appears, the AI creates a trade idea with an entry, a stop-loss and a target.
- 04
Execution
The trade is placed automatically, or sent to the trader to approve.
- 05
Learning
Results feed back into the model so it can adjust to changing markets.
Types of AI Used in Trading
The AI behind a trading platform is not one single model. Different types do different jobs, and most platforms combine several.
| AI type | What it does in trading |
|---|---|
| AI typeMachine learning | What it does in tradingFinds patterns in past price and volume data |
| AI typeNatural language processing (NLP) | What it does in tradingReads news, reports and social posts to measure market mood |
| AI typeDeep learning | What it does in tradingHandles very large, complex data sets with many layers of analysis |
| AI typeReinforcement learning | What it does in tradingLearns by trial and error which actions lead to better results |
| AI typeLarge language models (LLMs) | What it does in tradingSummarise news and explain market events in plain English |
Algorithmic Trading Is Already the Norm
Algorithmic trading, where fixed computer rules place the trades, is already standard for professionals. ASIC estimates around 85% of ASX share trading volume is algorithmic. AI trading takes the next step: instead of fixed rules, machine learning models can learn and adapt as conditions change.AI Trading vs Algorithmic Trading vs Manual Trading
The three approaches differ in who makes the decisions, and how quickly they react to something new.
| Manual trading | Algorithmic trading | AI trading | |
|---|---|---|---|
| Who decides | Manual tradingThe trader | Algorithmic tradingFixed computer rules | AI tradingMachine learning models |
| Adapts to new conditions? | Manual tradingYes, but slowly | Algorithmic tradingNo, rules stay fixed | AI tradingYes, models can adjust |
| Speed | Manual tradingMinutes to hours | Algorithmic tradingMilliseconds | AI tradingSeconds or faster |
| Emotion | Manual tradingFear and greed can creep in | Algorithmic tradingNone | AI tradingNone |
| Data it can handle | Manual tradingA few charts at a time | Algorithmic tradingSet data inputs | AI tradingHuge, mixed data: prices, news, sentiment |
Who Uses AI Trading Today?
AI trading is not a niche experiment. It runs from the largest institutions down to first-time retail investors.
Big Institutions
Banks, hedge funds and market makers use AI for speed and scale.
Retail Investors
In an April 2026 Investing.com survey, 62% of retail investors said they had used AI tools to help make investment decisions.
Young Australians
ASIC research in 2026 found 18% of Gen Z Australians rely on AI tools for money decisions, and ASIC urges them to sense-check what AI tells them.
Benefits and Risks of AI Trading
AI trading is a tool, not a guarantee. Here is both sides, honestly.
Benefits
- Watches markets 24/7, without getting tired
- Removes emotional decisions from the process
- Processes far more data than a person can read
- Reacts to news in seconds, not minutes
- Applies your risk rules on every single trade
Risks
- Can lose money, sometimes quickly
- Models can fail when markets change suddenly
- Overfitting: looks great on past data, weak in live markets
- Leverage magnifies losses as well as gains
- Fake "AI bots" and scams are common
AI Trading Myths vs Facts
Search for AI trading and you will meet all of these. They are worth settling early.
| Myth | Fact |
|---|---|
| Myth"AI trading guarantees profits" | FactNo system can guarantee profits. Treat any such claim as a red flag. |
| Myth"AI can predict the market" | FactAI finds probabilities, not certainties. |
| Myth"You need to be a coder" | FactModern platforms let you use AI without writing any code. |
| Myth"It is set and forget" | FactYou still need to set limits and review results regularly. |
Is AI Trading Legit and Legal in Australia?
Yes. AI trading is legal in Australia and is used right across the market. But not every platform is legitimate. In 2025, Australians reported $837.7 million in investment scam losses according to the ACCC, and many of those scams use "AI trading" as the hook.
What a Legitimate Platform Should Show You
These are the basics to check before you deposit anything.
- A broker with the right ASIC licence, which you can look up on the ASIC Professional Register.
- Company details you can verify, with a real support team behind the platform.
- No promises of guaranteed or fixed returns, ever.
- Risk limits you control, and the ability to withdraw your money.
- Fees and risks explained openly, before you sign up rather than after.
How to Choose an AI Trading Platform
Work through this list before you commit any money.
- Check the licence on the ASIC Professional Register
- Look for real risk controls: a stop-loss, daily limits and a kill switch
- Check transparency: can you see why each trade was made?
- Start small, so a low minimum deposit lets you test before committing more
- Test support: call or email before you sign up
AI Trading Glossary
- Signal
- A trade idea: buy or sell, with an entry, a stop-loss and a target.
- Stop-loss
- An order that closes a trade to limit your loss.
- Take-profit
- An order that closes a trade at your profit target.
- Leverage
- Using borrowed funds to open a bigger position.
- Backtesting
- Testing a strategy on past market data.
- Overfitting
- When a model fits past data too closely and then fails on live markets.
- Sentiment analysis
- Measuring market mood from news and social posts.
- Slippage
- The difference between the expected price of a trade and the price you actually get.
Ready to Try AI Trading?
New to trading? Start with the step-by-step AI Trading for Beginners guide, or create a free Skyward Invexa account and an account manager will walk you through it.
Questions
Frequently Asked Questions
The questions this page raises most often, answered without marketing language.
It is when a computer program uses artificial intelligence to study the markets and suggest or place trades for you, based on rules you set.
It can help traders be faster and more disciplined, but it does not remove risk. Results vary, and losses are part of trading.
A basic trading bot follows fixed rules. AI trading uses machine learning, so it can adapt as market conditions change.
Yes, as long as they start small, use a stop-loss on every trade and choose a licensed, transparent platform.
It depends on the platform. On Skyward Invexa, the minimum deposit is AU$250.
Yes. AI trading is legal in Australia. Platforms and advisers must meet ASIC rules, and anyone giving personal financial advice needs the right licence.
Ready to Try AI Trading?
New to trading? Start with the step-by-step AI Trading for Beginners guide, or create a free Skyward Invexa account and an account manager will walk you through it.