How much capital do I need to start algo trading?

Technically, many brokers let you start with 100–200 USD. A more sensible range is 500–2,000 USD: enough for the EA to trade reasonable lot sizes at realistic per-trade risk, and little enough that a total loss is bearable. Never start with money you need in the short term.

Is automated trading legal?

Yes. Expert Advisors are an official MetaTrader feature, and regulated brokers explicitly allow them. Restrictions only exist at the margins — for example at some prop firms or for strategies that exploit latency. What a broker permits is in its terms and in our broker reviews.

Can you get rich with an EA?

Realistically: not quickly. Credible EAs deliver single-digit percent per month over the long run — with losing streaks. Promises of 50%+ per month almost always work through hidden risk (grid/martingale) and frequently end in a blown account. Algo trading is investing with risk, not a money printer.

Do I need coding skills?

No. Ready-made EAs can be bought or rented and run without writing a single line of code. You only need programming skills (MQL5) once you want to build your own strategies or modify someone else's EA.

How long should I test on a demo account?

At least 4–8 weeks, ideally longer. You want to see how the EA handles news periods, spread widening and losing streaks. Even more important than demo duration is a verified live track record from the vendor spanning several months.

Demo first, or straight to a small live account?

Demo first, then a small live account (cent or mini account). Demo shows whether your setup and EA run cleanly from a technical standpoint; only live trading shows real execution with slippage and real spreads. Jumping from demo to serious capital without that intermediate step is a classic beginner mistake.

Getting started with algo trading — step by step

You want to start automated trading but don't know where to begin? This guide walks you through seven steps — from first principles to a running, tracked EA setup — including the mistakes that cost beginners the most money.

Step 1: Understand what algo trading is (and isn't)

In algo trading, a program — on MetaTrader an Expert Advisor (EA) — executes your trading strategy automatically: it analyses the market by fixed rules and opens, manages and closes positions without your involvement.

What an EA is: a disciplined, emotionless executor of a strategy that runs 24/5 and never breaks a rule.

What an EA is not: a money printer. An EA can only be as good as the strategy behind it. If the strategy has no statistical edge, the EA merely automates losing — faster and more reliably than any human.

Step 2: Set expectations and risk first

Before you invest a single dollar, decide on:

Realistic returns: Credible EA portfolios deliver roughly 2–8% per month over the long run — with swings and losing months. Anything well above that almost always means hidden risk.
Maximum drawdown: Decide upfront how much interim loss you can stomach (e.g. 20%). We explain what drawdown and profit factor actually mean separately.
Risk per trade: 0.5–2% of the account is a common range. How to translate that into lot sizes is required knowledge.
Risk capital only: Trade exclusively with money whose total loss would not change your life.

One red flag you should know from day one: grid and martingale EAs show smooth equity curves for months and then wipe accounts in days. These are exactly the EAs marketed most aggressively to beginners.

Step 3: Pick the right broker

EAs care about different things than manual trading: fast, stable execution, tight spreads plus fair commission, no EA restrictions and ideally a free VPS. For most algo strategies, an ECN/raw-spread account is the right account type — you'll find the candidates in our comparison of the best ECN brokers for algo trading.

All the providers we've tested — with scores for execution, cost and EA-readiness — are in our broker reviews. Pay attention to regulation (ASIC, FCA, CySEC): in a dispute, it decides whether you see your money again.

Step 4: Demo first, then small and live

Open a demo account first and run your setup for 4–8 weeks. You're testing the plumbing here, not profitability: Does the platform run stably? Does the EA open and close as expected? Does it survive news spikes?

Then move to a small live account. Demo execution is flattering — you only see real slippage, real spreads and requotes with real money. Only scale up once several live months match the backtest.

Step 5: Find and judge an EA

Whether it's a marketplace (MQL5.com), a direct vendor or your own development — the evaluation rules are identical:

A verified live track record of at least 6–12 months (e.g. Myfxbook with a verified account) beats any backtest.
Read backtests critically: A pretty backtest is easy to manufacture. What actually matters is in our guide on backtesting and forward testing.
Understand the strategy: The vendor must be able to explain why the EA makes money. "Secret AI logic" is a red flag.
Check the risk behaviour: Fixed stop-loss per trade? Or are losing positions scaled up (grid/martingale)?

The full checklist: What makes a good forex EA? And to understand the demo-to-live gap: Why EAs fail live.

Step 6: Set up a VPS

An EA only trades while the platform is running. On a home PC, updates, standby and Wi-Fi dropouts mean missed trades. A VPS (a virtual server in a data centre) keeps MT4/MT5 running 24/5 with low latency — for 5–30 USD/month, or free at many brokers above a certain volume.

The fundamentals are in our VPS for EAs guide; concrete providers in the VPS comparison.

Step 7: Track and optimise your portfolio

What you don't measure, you can't manage. Connect your accounts to our portfolio tracker — free for MT4/MT5. You'll see equity curves, drawdown and, above all, the correlation between your strategies: two EAs that lose in the same phases double your risk instead of diversifying it. Long term, a portfolio of several uncorrelated EAs beats any single star EA — how to build one is in our EA portfolio management guide.

The most common beginner mistakes

Starting with too much capital — demo first, then small and live, then scale.
Believing return promises — "guaranteed" 100% per year is marketing, not trading.
Treating a backtest as the future — without forward testing and a live track record, a backtest is just a hypothesis.
Underestimating grid/martingale — smooth curves right up to account death.
Tearing everything up after three losing days — EAs need months to show their statistics. If you constantly intervene, you're trading manually with extra steps.
Running without a VPS — missed trades distort any strategy.
Betting everything on one EA — diversification across strategies and pairs is the only free lunch.

Verdict

Algo trading is a learnable craft, not a lottery ticket: set expectations, pick a broker with clean execution, test on demo, judge EAs by live data instead of promises, run them reliably on a VPS, and measure everything in the portfolio tracker. Follow these seven steps in this order and you're already ahead of most beginners in the one way that matters: you'll survive your first twelve months.