$4.92M in Copy Trading Profits During a Brutal 2025: What Actually Worked

2025 was not a fun year to be active in crypto. Markets rotated hard between narratives. Long stretches of chop punished anyone who tried to time entries. Sudden volatility wiped out leveraged positions. By most accounts, the average retail trader finished the year underwater, and the average algorithmic strategy didn't fare much better.

Despite all of that, Mirrorly users collectively closed 2025 with $4.92M in aggregated copy trading PnL. That’s the second consecutive profitable year on the platform. 51% of copytraders finished the year in profit, in a market where the broader retail experience was much worse.

This article breaks down what actually happened. Which trader styles worked. How curation protected users from blowups. And what the numbers say about copy trading as a strategy in a difficult market.

The Market Backdrop

To understand the result, you have to understand the year.

2025 had no single dominant narrative. Themes rotated faster than they used to, with capital cycling between AI tokens, memes, real-world assets, infrastructure plays, and back to majors, all within weeks. Anyone trying to ride a single thesis for any length of time got chopped up.

Volatility wasn’t directional either. Long stretches of sideways action killed leveraged carries, and then sharp moves wiped out positions that had survived the chop. The combination is brutal for retail. You either get bled out slowly or liquidated quickly.

Across the year, BTC, ETH, and SOL all saw significant drawdowns. Most retail-favorite altcoins did worse. Holding spot was not a clean trade. Active trading was harder.

This is the context that makes the $4.92M result interesting. It’s not a number that happened in a bull market.

The Aggregate Result

Across 2025, the Mirrorly platform tracked around 425 traders on Binance and Hyperliquid. Those traders collectively closed more than 725,000 positions, representing over $239 billion in trading volume and $73 million in aggregated realized PnL across all tracked accounts.

The $4.92M figure refers specifically to the realized PnL captured by Mirrorly users who copied these traders during 2025. Not all $73M of trader profit translated into user profit, because not every user copied every trader and not every position was held identically. The $4.92M is the actual aggregated outcome for users on the platform.

51% of users finished the year in profit. That number matters. In retail trading, the typical breakdown is closer to 80% losing and 20% winning over any given year. Flipping that to slightly above 50% in a difficult market is a meaningfully different outcome.

Which Trader Styles Worked

The 2025 leaderboard didn’t reward any single trading style. What worked was a mix.

Concentrated, low-frequency swing traders did well. The kind of accounts that close a small number of positions per quarter and run them for days or weeks. Their edge came from picking spots carefully and sizing into them.

High-frequency, high-volume traders also produced strong years. The opposite end of the spectrum. Hundreds of positions per quarter, tight holds, small individual wins compounding into meaningful totals. Their edge was process repeatability, not any single trade.

Pair traders showed up, too. Long majors against short alts, or long correlated assets in one direction against another. Market-neutral by design, less affected by the choppy directional environment.

The common thread across all three styles wasn’t the style itself. It was that each trader stayed inside their approach. The swing traders kept swinging. The scalpers kept scalping. The pair traders kept pair trading. Nobody panicked into a different style when the market got hard.

That consistency is what compounds. Style switching is what doesn’t.

How Curation Protected Users

Most copy trading losses don’t come from copying the wrong trade. They come from copying the wrong trader.

Open leaderboards, the kind most copy trading platforms use, surface whoever happens to be hot recently. Selection bias dominates. The accounts that posted big numbers in the last 30 days look great until they blow up in the next 30. Users following them get caught in the blowup.

Mirrorly approach is different. The trader list is intentionally tight, manually maintained, and constantly rotated. In 2025 we tracked 425 traders across the year, but the active curated list at any given time sat around 225. Underperformers got removed. New performers got added based on actual results, not narrative.

This is operational work, not just engineering. Real curation requires watching trader behavior continuously, removing accounts that drift in style or start taking outsized risk, and adding fresh names that have demonstrated consistency. Most platforms don’t do this because it’s expensive and unglamorous.

The protection it offers is real, though. When a trader on the platform has a bad month, they’re either kept (because the bad month fits within their normal variance) or removed (because the behavior shifted). Users don’t have to figure that out themselves. The platform does it for them.

The $4.92M result wouldn’t have been possible without this layer.

What This Says About Copy Trading

Copy trading has a reputation problem. Most people associate it with passive-income marketing, sketchy signal groups, and platforms full of random wallets pretending to be edge.

The Mirrorly numbers suggest something different is possible when the platform is built around quality. Copy trading works when the underlying traders are good, when curation is real, and when users approach it as a strategy rather than a button to press.

It’s not passive in the way it’s often pitched. Users still have to choose which traders to copy, size their allocations, and stay engaged with how their copytraders are performing. But the heavy lifting, finding traders worth following, removing the ones that stop performing, executing trades cleanly, is handled.

For the right kind of user, that combination produces results that look like the 2025 number. For the wrong kind of user, no platform will help. The product isn’t a money printer. It’s a tool, and like any tool, the outcome depends on how it’s used.

What’s Already Started in 2026

The Q1 2026 numbers point in the same direction. Despite BTC finishing the quarter down 25%, ETH down 33%, and SOL down 35%, most of the traders we track on Mirrorly stayed profitable. The top 10 each generated between $2M and $3M in realized PnL during the quarter.

Two profitable years in a row, and the third quarter trending the same way, isn’t a coincidence. It’s a function of how the platform is built and who’s on it.

The full 2025 year-in-review and the Q1 2026 quarterly report are both on the Mirrorly blog. They include trader-level breakdowns, market context, and case studies for users who want to dig into the data.

For users curious to see the platform itself, visit https://mirrorly.xyz.  Mirrorly tracks traders on Binance and Hyperliquid, and lets you copy any of them on Bybit, Bitget, BloFin, or Hyperliquid. Funds never leave your exchange. Free to use via referral on Bybit, Bitget, and BloFin, with builder fees on Hyperliquid.

If two profitable years in a row in difficult markets is a track record worth paying attention to, that’s where to look.

 


This is a sponsored article. Opinions expressed are solely those of the sponsor and readers should conduct their own due diligence before taking any action based on information presented in this article.

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