We evaluate AI trading platforms the same way a trader would — by how they fit into real trading, not by promises.

Our Approach - Markets are uncertain. AI doesn’t remove risk.

A platform earns our recommendation only if it:

• Improves decision quality

• Reduces emotional mistakes

• Gives the user full control over risk

If it promises guaranteed profits, we ignore it.

What We Actually Look At

We test platforms using demos, trials, and real trading workflows — not optimized setups or marketing scenarios.

We ask five practical questions:

1. What does the AI really do?
   (Analysis, signals, ranking, allocation, or execution?)

2. Who controls the risk?
   (Position size, execution, exposure.)

3. When does it fail?
   (Drawdowns, bad markets, false signals.)

4. Who is it for — and who should avoid it?

5. Does it make sense long-term, not just in screenshots?

If a platform can’t answer these clearly, it doesn’t pass.

The 5 Categories We Use

We group platforms by function, not by hype:

• AI Trading Tools — AI analyzes, you decide

• AI Trading Signals — AI suggests, you execute

• AI Copy Trading — AI evaluates human traders

• AI Portfolio Platforms — AI manages allocation

• AI Trading Bots — Algorithms trade automatically

Each category has different risks. Comparing them directly leads to bad decisions.

What We Don’t Do

• No profit guarantees

• No fake P&L screenshots

• No “AI never loses” claims

• No ranking based on short-term results

How We Test AI Trading Platforms