AI Trading Guides
Learn the mechanics before comparing products. Our guides focus on evidence, risk, leverage, drawdown, fees, execution and how automated trading structures actually work.
AI & automated trading
What Is AI Trading?
What the term means — and why the AI label alone tells you very little.
Is AI Trading Profitable?
How to judge profitability using live evidence, risk, fees and market regimes.
Can AI Trading Bots Make Money?
What live evidence can and cannot tell you about profitability.
How Much Money Do You Need?
Technical minimums versus sensible capital and risk allocation.
How to Evaluate an AI Trading Bot
A practical due-diligence checklist built around evidence and downside.
Compare before you commit
Best AI Bot for Beginners
What beginners should prioritise before choosing an automated system.
How Much Does an AI Bot Cost?
Subscriptions, licences, performance fees and hidden trading costs.
AI Trading Bot Risks
Seven risks to understand before you deposit.
AI Bot Withdrawals
Custody, lock-ins, profit access and what to check before funding.
AI Trading Bot Alternatives
Copy trading, EAs, signal services and manual trading compared.
Understand the differences
AI Bot vs Copy Trading
Two ways to automate trading with different control and execution structures.
AI Bot vs Expert Advisor
What actually separates an AI-labelled bot from a MetaTrader EA.
Copy Trading vs EA
Simplicity, control, execution and cost compared.
Automated vs Manual Trading
Consistency, flexibility, monitoring and skill trade-offs.
What Is Copy Trading?
Source strategies, follower accounts, execution and custody.
Verify performance properly
What Does 20% a Month Mean?
See why repeated monthly returns create dramatic compounding — and why the result is a scenario, not a forecast.
Is 20% a Month Realistic?
Why one strong month and a sustainable long-term return are very different claims.
How Long Should a Bot Track Record Be?
Why months, trade count, drawdown and changing market regimes all matter when judging live evidence.
How Many Trades Are Enough?
Why sample size changes how much confidence you should place in win rate, profit factor and return.
Return vs Drawdown
Why headline profit means little without the losses and recovery path required to produce it.
Monthly vs Annual Return
Why monthly, annual and cumulative performance numbers are not interchangeable.
How to Compare Bot Returns
Put return, drawdown, fees, duration and capital structure on the same footing.
How to Verify Bot Results
Live accounts, duration, trade count, drawdown and consistency checks.
Backtesting vs Live Results
Why simulations and real execution are different forms of evidence.
Profit Factor Explained
What the metric tells you and why sample size and drawdown still matter.
Win Rate Explained
Why a strategy can win often and still have unattractive risk.
What Is a Good Drawdown?
How to judge bot drawdown relative to return, leverage and track-record length.
Understand the structure
Amplification vs Leverage
Two concepts that are often confused but operate at different layers.
Trading Drawdown Explained
Peak-to-trough losses, recovery mathematics and why drawdown matters.
Performance Fees Explained
Gross versus net return and the questions to ask about fee mechanics.
Slippage Explained
Why live fills and copied trades can differ from expected prices.
Protect the downside
AI Trading Bot: Scam or Legit?
Nine checks covering evidence, broker identity, custody, fees, withdrawals and marketing claims.
Check Broker Regulation
Verify the legal entity and licence instead of trusting a logo.
AI Trading Bot Red Flags
Guaranteed returns, weak evidence, unclear custody and other warnings.
Stress-Test the Risk
Turn an underlying adverse move into an impact on contributed capital.