How to Choose Traders to Copy: Drawdown, Leverage and Risk Checks

Quick Answer

Choosing a trader to copy should start with risk, not headline ROI.

The most useful metrics are maximum drawdown, trading-history length, leverage, position concentration, trade frequency and consistency across different market conditions.

A trader showing 200% returns over a few weeks may carry substantially more risk than a trader showing 30% returns over a longer period with controlled drawdowns.

Before copying any trader, ask three questions:

1. How did the trader generate the return?
2. How much risk was required to generate it?
3. Could your account tolerate the trader’s worst historical period?

The goal is not to find the trader with the highest historical return.

It is to understand whether the trader’s behavior, risk profile and execution style match the amount of capital you are willing to risk.

For the broader mechanics of following another trader, see BGBriefing’s Crypto Copy Trading Guide.

Key Takeaways

• Do not choose a trader based on ROI alone.
• Maximum drawdown is one of the most important measures of historical risk.
• A longer trading history is generally more informative than a short period of unusually strong performance.
• High leverage can make both ROI and drawdown appear more extreme.
• Win rate should be evaluated together with average profit and average loss.
• Position concentration can create hidden tail risk even when historical results look strong.
• Follower returns can differ from the lead trader’s displayed results because of slippage, account size, copy settings and execution timing.
• A trader should be reviewed continuously after copying begins; selection is not a one-time decision.

Key Table

Do Not Start With ROI

ROI is usually the first number users notice on a copy-trading leaderboard.

It should not be the first number used to make a decision.

A high historical return can come from very different strategies.

For example:

Trader A

• 180% ROI
• 42% maximum drawdown
• 20 days of history
• Frequent high leverage

Trader B

• 38% ROI
• 9% maximum drawdown
• 180 days of history
• Moderate leverage

Trader A has a much higher headline return.

But Trader B gives the user more information about how the strategy behaved over time and under different market conditions.

The correct question is therefore not:

Which trader made the most money?

It is:

What risk was required to generate that return?

BGBriefing’s Bitget Copy Trading Review uses the same principle when evaluating lead traders: performance should be read together with drawdown, leverage, history and execution risk.

1. Maximum Drawdown

Maximum drawdown measures how far a strategy fell from a previous peak before recovering or reaching a new low.

It is one of the most useful indicators for evaluating a trader because it shows the loss the strategy actually experienced during an unfavorable period.

Suppose a trader’s account rises from 10,000 to 15,000 and then falls to 11,000.

The drawdown from the 15,000 peak is approximately 26.7%.

That tells you something ROI alone does not:

how painful the path to the final return was.

A high-return strategy can still be unsuitable if its drawdowns are too large for the follower’s risk tolerance.

Before copying a trader, ask:

• What is the maximum historical drawdown?
• How frequently do large drawdowns occur?
• How long did recovery take?
• Was the drawdown caused by one concentrated position?
• Did the trader increase leverage during the loss?

Maximum drawdown should also be interpreted relative to total return.

A 15% drawdown may be easier to justify for a strategy with strong long-term returns than for one with only modest gains.

2. Trading History Length

A short trading history creates uncertainty.

A trader who has been active for only a few weeks may have experienced only one market environment.

For example, the history may not include:

• a sharp selloff;
• a prolonged sideways market;
• a volatility spike;
• a major funding-rate shift;
• a liquidity shock.

A longer track record does not guarantee future success.

But it gives users more evidence about how the trader behaves under changing conditions.

When comparing two traders with similar returns, the one with a longer and more stable history generally gives the follower more information to evaluate.

Short histories become especially risky when combined with:

• extreme ROI;
• high leverage;
• concentrated positions.

3. Leverage

Leverage can amplify both gains and losses.

That makes it one of the most important metrics when evaluating a futures copy-trading strategy.

A trader using high leverage can generate large returns quickly.

The same trader can also experience:

• rapid drawdowns;
• margin pressure;
• liquidation.

Followers should therefore understand:

• average leverage;
• maximum leverage;
• whether leverage changes frequently;
• whether the trader uses isolated or cross margin;
• whether leverage increases after losses.

If the strategy depends on very high leverage to produce attractive returns, the headline ROI should be treated more cautiously.

For users who need more background on leveraged product costs, BGBriefing’s Bitget Product Guide explains how futures and margin products differ from simpler spot exposure.

4. Win Rate

Win rate is useful, but it is easy to misinterpret.

A trader can have a 90% win rate and still lose money overall.

For example:

• nine trades gain $10 each;
• one trade loses $150.

The trader wins 90% of the time but still loses money.

This is why win rate should be evaluated with:

• average profit;
• average loss;
• risk/reward ratio;
• size of the largest loss.

An extremely high win rate can sometimes indicate a strategy that accepts many small gains while allowing losing positions to become very large.

The important question is not simply:

How often does the trader win?

It is:

How much is gained when the trader wins, and how much is lost when the trader is wrong?

5. Position Concentration

Position concentration shows how dependent a strategy is on a small number of trades or assets.

A trader may look diversified because many trades appear in the history.

But if 70% of current exposure is concentrated in one position, the actual risk can still be high.

Check:

• number of simultaneous positions;
• percentage of capital in the largest position;
• whether multiple positions are correlated;
• whether the trader repeatedly takes one-direction bets.

For example, holding several highly correlated crypto assets does not necessarily create meaningful diversification.

They may all fall together during a market-wide selloff.

6. Trade Frequency

Trade frequency affects both strategy risk and total cost.

A high-frequency trader may generate more:

• maker or taker fees;
• spread costs;
• slippage;
• funding exposure.

This matters because followers can experience different execution from the lead trader.

A strategy that looks profitable before costs may produce weaker follower results after repeated execution expenses.

BGBriefing’s broader Crypto Copy Trading Guide explains why copied execution can differ from the lead trader’s displayed performance.

Users should also review BGBriefing’s Bitget fee guides when estimating the effect of trading frequency on net returns.

7. Profit and Loss Distribution

A trader’s total return may hide how that return was generated.

Suppose two traders both earned 30%.

Trader A:

• many moderate gains;
• several small losses;
• no single trade dominates the result.

Trader B:

• mostly flat performance;
• one trade generated almost all the profit.

The final return is the same.

The reliability of the evidence is not.

Users should look for whether performance is:

• spread across many trades;
• dependent on one event;
• dependent on one asset;
• concentrated in one market regime.

A strategy whose entire historical return depends on one exceptional trade may be less informative than a lower-return strategy with more repeatable results.

8. Strategy Consistency

A trader should not be evaluated only by what the strategy used to be.

Followers need to monitor whether behavior changes.

Possible signs of strategy drift include:

• suddenly increasing leverage;
• trading completely different assets;
• increasing position size after losses;
• shifting from swing trading to very short-term trading;
• taking more simultaneous positions;
• holding losing trades much longer than before.

A trader can build a strong historical record using one strategy and then behave very differently after gaining more followers.

That means trader evaluation should continue after copying begins.

Why 300% ROI Can Be Misleading

Extremely high ROI naturally attracts attention.

But it can be produced by factors that may not be repeatable.

Examples include:

• very small starting capital;
• extreme leverage;
• one concentrated position;
• a favorable short-term market trend;
• a single unusually successful trade.

Suppose a trader turns $500 into $2,000.

That represents a 300% gain.

But if the same strategy involves repeatedly risking most of the account, the historical return does not capture how easily the strategy could have failed.

ROI tells you what happened.

It does not tell you the probability distribution of what could have happened.

That is why ROI should always be combined with:

drawdown + leverage + history + concentration

Survivorship Bias in Copy-Trading Rankings

Copy-trading leaderboards can create survivorship bias.

Successful traders remain visible because users continue following them.

Unsuccessful traders may:

• stop trading;
• lose followers;
• disappear from prominent rankings.

This means the visible group of traders may look better than the full population that originally attempted the same strategies.

A leaderboard therefore answers:

Who currently looks successful?

It does not automatically answer:

What percentage of traders using similar strategies were successful over time?

This is another reason not to treat ranking position as a forecast.

Why Follower Returns May Be Lower

Even after selecting a strong trader, the follower may not reproduce the same result.

Slippage

Followers may receive a slightly different execution price.

Order Timing

The market can move between the lead trader’s order and the follower’s copied order.

Account Size

Different account sizes can change position sizing.

Minimum Order Rules

Some trades may not execute for smaller accounts.

Different Risk Settings

Followers may use:

• lower leverage;
• smaller allocations;
• different stop-loss levels.

Copy Failure

A trade may fail because of:

• insufficient balance;
• product restrictions;
• slippage limits;
• order-size requirements.

That is why the trader’s displayed history should be treated as evidence about the strategy, not as a guaranteed follower return.

How Much Capital Should You Allocate?

There is no universal amount that every user should allocate to copy trading.

The important principle is to limit exposure before performance deteriorates.

Questions to answer include:

• What percentage of the account is allocated to one trader?
• How much could be lost during the trader’s historical maximum drawdown?
• What happens if the trader exceeds that drawdown?
• Are multiple copied traders actually using similar strategies?

For example, copying five traders does not necessarily create diversification if all five are:

• long the same assets;
• using similar leverage;
• trading the same market direction.

The portfolio should be evaluated by underlying exposure, not only by the number of traders.

When Should You Stop Copying a Trader?

Stopping rules should ideally be defined before copying begins.

Potential reasons to stop include:

Drawdown Exceeds Expectations

If the trader’s losses become materially larger than the historical range, the strategy may have changed or stopped working.

Leverage Changes

A trader who suddenly begins using much higher leverage may no longer match the follower’s original risk decision.

Strategy Drift

If the trader changes asset class, holding period or position concentration, the original evaluation may no longer apply.

Repeated Execution Problems

Large slippage or repeated failed copied trades can make the strategy unsuitable even if the lead trader continues performing well.

Risk Limit Is Reached

Followers should have a maximum acceptable capital loss before copying starts.

The decision should not be made only after a large loss has already occurred.

A Practical Trader Evaluation Framework

A simple evaluation can be divided into four layers.

Layer 1: Performance

Check:

• ROI;
• monthly consistency;
• average profit;
• average loss.

Layer 2: Risk

Check:

• maximum drawdown;
• leverage;
• concentration;
• liquidation exposure.

Layer 3: Evidence Quality

Check:

• length of history;
• number of trades;
• different market environments;
• dependence on a few exceptional trades.

Layer 4: Follower Execution

Check:

• copy settings;
• slippage;
• fees;
• funding;
• minimum order size;
• stop-copy rules.

This prevents users from making a decision based on one attractive number.

A Simple Trader Scoring Worksheet

Instead of ranking traders by ROI, users can create a simple comparison worksheet.

The goal is not to produce a perfect numeric score.

It is to force the comparison to include risk and behavior rather than only returns.

How This Applies to Bitget Copy Trading

On Bitget, users can review lead traders and configure copy settings before following them.

The platform can provide useful data and automation, but the user still has to interpret the information correctly.

A strong process is:

Understand copy trading → evaluate the trader → configure risk → monitor behavior

For Bitget-specific mechanics, fees and risk controls, see BGBriefing’s Bitget Copy Trading Review.

For users still deciding whether copy trading is the right Bitget product at all, see How to Choose the Right Product on Bitget.

Security and Platform Risk Still Matter

Trader selection is only one part of copy trading.

Even a well-selected strategy still depends on the platform where the trades are executed.

Users should separately evaluate:

• account security;
• authentication;
• withdrawal protection;
• device management;
• product eligibility;
• regional availability.

BGBriefing’s Security FAQ covers common account-protection questions.

Users can also review the broader BGBriefing Product FAQ when checking product-specific rules.

Bottom Line

The best trader to copy is not automatically the trader with the highest ROI.

A more useful decision framework is:

Return → Drawdown → Leverage → History → Concentration → Consistency → Execution

The most important questions are:

• How much did the trader earn?
• How much risk was taken?
• How long has the strategy worked?
• What happens when the trader is wrong?
• Can the follower tolerate that outcome?

Historical performance is evidence.

It is not a promise.

That is why trader selection should be treated as an ongoing risk-management process rather than a one-time leaderboard decision.

For the broader mechanics, start with Crypto Copy Trading: How It Works, Risks, Fees and Platform Checks.

For Bitget-specific implementation, continue with Bitget Copy Trading Review.

BGBriefing Related Guides

• Crypto Copy Trading: How It Works, Risks, Fees and Platform Checks
• Bitget Copy Trading Review: Fees, Features, Risks and Who It Fits
• Bitget Copy Trading: Copy Actions, Not Past Returns
• How to Choose the Right Product on Bitget
• How Platform Fees Work
• BGBriefing Product FAQ
• BGBriefing Security FAQ

Risk Disclaimer

This article is for informational and educational purposes only. It does not constitute investment, legal, tax or financial advice. Copy trading can involve market risk, leverage risk, liquidation risk, strategy risk, execution differences, platform risk and loss of capital.