Drawdown
Peak-to-trough loss — how bad the worst stretch was.
AI Copy Trading
AI Copy Trading, Done Right
Copying a great trader sounds simple — until you have to find one and judge whether their record is real. Here's how copy trading works and how AI makes the research honest.
Get Access →What is copy trading?
Copy trading — also called mirror trading or social trading — automatically replicates another trader's positions proportionally in your own account.
When they open a trade, you open it too; when they close, you close.
The catch is selection. Copy trading is only as good as the trader you copy, and flashy short-term returns can hide enormous risk. Choosing the right person to follow is the hard part.
Choose Trader
Select a proven strategy
Mirror Trades
Positions are copied automatically
Stay in Control
Adjust allocation anytime
Manage Risk
Set limits and diversify
How copy trading works
1
Discover traders
Browse leaderboards to find candidates with strong records.
2
Evaluate track record
Assess both returns and risk — not just the headline number.
3
Allocate capital
Commit a portion of your funds to mirror a chosen trader.
4
Trades replicate
Their positions are mirrored proportionally in your account.
5
Monitor and adjust
Review performance over time and rebalance as conditions change.
How to evaluate a trader
Consistency over time
A long track record beats lucky months every time.
Risk profile
Understand the leverage and concentration they use.
Strategy transparency
You should understand what methodology they follow.
Sample size
Many trades across different market conditions builds confidence.
Common challenges
Most copy-trading mistakes are avoidable with better research:
- Chasing recent winners — short streaks often reflect luck or over-leverage, not skill.
- Survivorship bias — leaderboards show current leaders, not the traders who blew up last month.
- Misaligned risk exposure — a trader's leverage may not match your own risk tolerance.
- Over-allocation to a single trader — concentration risk amplifies downside.
How AI improves copy trading
AI can turn leaderboard browsing into honest, data-driven research:
Honest research over full history — not just the recent highlight reel.
Risk-adjusted ranking — sorting by Sharpe or drawdown-adjusted returns, not raw gains.
Sentiment and market context — understanding whether a track record was earned in a bull or bear market.
Plain-language performance summaries — so you understand what you're copying before you commit.
How Quant helps
Quant's copy-trading vaults mirror verified performers with transparent on-chain statistics. AI-powered research helps you make informed selection decisions rather than guessing from a leaderboard.
Every allocation is visible, every trade is logged, and you can pause or exit at any time.
Frequently asked questions
Can I lose money copy trading?
Yes. If the trader you mirror loses, so do you.
How much should I allocate?
Be conservative and diversified — avoid over-allocating to a single trader.
Quant is not a financial advisor. Always review every transaction before execution. Past performance does not guarantee future results.
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