# Top Trader Report - July '25

📢 The "Top Traders Monthly Report - July '25'' is out now! 🚀

Featuring curated, consistently profitable traders from the Binance and Hyperliquid Leaderboards.

We'll reveal key stats and insights that distinguish top traders in this competitive arena.

Let's explore the trading elites! 💪 

# Top 3 Traders of the Month - Overview

July 2025 highlights its top three traders of the month as follows:

🏆[Trader 0x045](https://portal.mirrorly.xyz/leaderboard/Hyperliquid/0x045bAD6bA93375AaB642F502C2C89851488C129F) (Hyperliquid) [](https://portal.mirrorly.xyz/leaderboard/Hyperliquid/0x1d52fE9bDE2694F6172192381111A91E24304397)

🥈[0xtyle](https://portal.mirrorly.xyz/leaderboard/Hyperliquid/0x1d52fE9bDE2694F6172192381111A91E24304397) (Hyperliquid)

🥉[Trader 0x8af](https://portal.mirrorly.xyz/leaderboard/Hyperliquid/0x8Af700bA841f30e0a3Fcb0EE4C4A9D223E1eFA05) (Hyperliquid)

  
Compared to June, July offered a more favorable trading environment, with a steady upward trend, limited drawdowns, and all major assets closing the month in positive territory. $ETH led with a +48% gain, followed by $SOL at +11.3% and $BTC at +7.8%.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe4IzHL_EH7AQHjvU9Q92-U1CErAl6fRYQBoqdN2hpfL5bdBZnib05_x6ABMCaQhmoT2AZZdNLmhaYFLu53xRn5OFk0cwBEJTAMtBYZ0wt65yD4tYQfyq_hN-u7v7SR4FqoYrdU?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

In this context, the top three traders all achieved eight-figure realized profits. Leading the month was **0x045 with $15.0M**, followed by **0xtyle with $13.19M** and **0x8af with $13.16M**. Notably, 0xtyle also ranked among the top performers in June with $7.9M, bringing his **two-month total to $22.9M**.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgVJcKjRxDxsbi06C2Sn-XFtU9lYbbZ9SJDNUcwhhWPnawG3a4mO46B0Lt61RcK3PJjr1Ds7TzPRwNlW2gJFDBFwaERCeoJapiedWtETBz04RN2Hu6N1JTtN_RCx88rdZfJmuy-Q?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

Key metrics underline the different approaches taken:

* 0x045 closed only **7 positions**, recording a **profit factor of 33.4** and the **highest average profit-to-drawdown ratio at 15.3**. His average winning trade lasted 32 days, compared to just under 3 days for losing trades, with most profits coming from a $HYPE long opened in late March. 
    
* 0xtyle was the most active, **closing 52 positions across nearly 11k trades**, achieving an **84.6% win rate**, the **highest profit factor at 33.7**, and the **shortest average holding period at 3 days**. 
    
* 0x8af, with a **58.3% win rate** and **12 closed positions**, posted a **profit factor of 26.9**, holding trades for an average of 30–35 days.
    

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeSwvVx8G2TaSBq2oEO4SfatFNC6oowfC84oudVjqSPDHS5PrKf_yVVDfuf2WINLlJnRGRU5Ml36TWOKFZxy0TjaxviZhbvBpvDicnqh5qdm3ElRfBXo2rZkcUE7oSh59AjHUciMA?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

# Trader Spotlight: 0x045

To understand 0x045’s July performance, it’s necessary to look back to late March, when he opened a long position on $HYPE that remained active for roughly four months. Throughout this period, his positioning stayed firmly long-biased, with **notional exposure steadily increasing and peaking just under $12M in July**. Aside from a minor initial drawdown, his PnL rose consistently, culminating in nearly $15M in realized gains by month-end.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf2bS_Kr4ly-svl_wlaCSItQR-Sz8hwjZHCZHUxkE4kOwck4ZMSaSQmG9noMPlSHNjgNrwcAgeLkmglnPXOngPLg0zj5P_oksauhOTFR706gYP6Wtk2dPqM1tEj28v3Wg7oRq103Q?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

As noted, **$HYPE was the only materially significant position among the 7 closed in July**, standing out for both its ~4-month holding period and its contribution to profits. 

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfC5dJqV0ffOLBA0E_U96X00Ilr-hiAs-hRAOn5CGbDT45WCMzskgJwzSniCtrv_G021wpcUvssdFrVF-CfJY4xIpMrBDURIcIaveabDxZtHxDxrzZbHsZRqgjax__Z8yMw5iwusg?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

**It accounted for virtually all of 0x045’s realized gains for the month**, while the remaining symbols traded had negligible impact on his final PnL.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfawku6UJBT_1qLsmZrFKC8PR8QFOLfi9FOKHNy58MlaV_hZSslzK9QiB0DL7O0CNA7xhLh69wNhflekS_crxfZkQV-fh5MbbQYEWPfFNcY5wkmbrAfMWJ7wBCxR96b2PsevK2bzA?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

# Trader Spotlight: 0xtyle

Like 0x045, 0xtyle maintained a predominantly long bias throughout the period. His **typical long exposure was around $20M**, but **between late June and mid-July he scaled it up sharply to over $80M**. Most of his profits were generated during this window, moving from near breakeven to +$8M within two weeks, and adding another +$6M over the final 10 days of July.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXckjTedfrv22rgFFnJmASHtwckx-xAkoUA42uNtBNGGUL8j8LqF8hhpE_OFdiVOJi6L6qEHoSsM_5_w4XdNOr8_BjlgDDg11pR98mfIYQuRdjoGMcnB1Rhlw4TxId93uFKat4GA?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

Of the 52 positions closed, 0xtyle traded a mix of major assets and meme-related coins across a range of market capitalizations. As noted, **most of his activity occurred in the first half of July**, during which he opened multiple positions.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcr9TgpNxkkvbTrkss1teUYKe0YUCE6goPds2sYKRMndH4UUpYZdRe_DWIYh0zElZpKT7b495vDrwgf-q_OZQoDqH_U1maDMb7I7aXFz-GikTiOXaAjBMhfM8LfnBnr-IuZjTqu7Q?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

By symbol, **0xtyle traded 20 assets and was profitable in all but two**. His top three positions accounted for the bulk of gains: $ETH contributed $3.4M, $DOGE $2.5M, and $FARTCOIN $1.6M, totaling $7.5M, or roughly 57% of his monthly profits.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXecPmWY4voqJZBycBdw8Vi9KprgQg-u8qaU2hI7KwJt8nY1vjJzFjBY_e5dZ5AmCeM0pprNYsRI3coKNbxtUBmfDzAH2MH_ZRisCc_jdLoEyFZlvSLsJJxva7r_-hOGrika8Jnh1w?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

# Trader Spotlight: 0x8af

Like the other top performers, 0x8af maintained a primarily long bias in the positions closed during July, with his **largest exposure**, similar to 0xtyle, **concentrated in the first half of the month and peaking above $80M**. 

His PnL remained mostly flat from June through early July, but after beginning to close long exposure after July 10, it quickly rose to $10M and then to $13.2M by month-end.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcnU_FpQ8lj86sHhxLO-yc8RkzCYtBGQ41oqQR8fCcwC7kgX2tJKYxNCWq_anWOa1Tk161nof6z6vDsmcGgsekDHWi-r2r4K3PZIeVPdYFw8njY4t4yrHfV-U3LMJE2ETnChkq4KQ?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

0x8af traded only six symbols during the month, focusing mainly on L1s and other large-cap assets, with the exception of a few positions in the newly launched $PUMP.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdwz0CWKKrEAuIF1GET-8jqQLP1MxDmGa9VEys-pDbUyn-SQki51QD6BS4nm6qNWupPrPekdYKBcQ0c7ShMqW56ZOXTcru0vDT_JEywRq69yh7lhhTv6kUAsrWMPGVkuRCINPIG?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

Approximately **83% of 0x8af’s July profits came from $BTC**, with the remainder generated by $ETH (+$1.4M) and $PUMP (+$1.1M).

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXebFi9jo6cmyuakrudlbtFEi4btRRARkf-tgYAK9TaJMHO3KsWVFzOJ9bSGL_qGwOg6BiJX24_mGxbYgHJsDM4NphmT9UNn3bjonZcvHDBAt9zqSUJadrvR0vjprOCVdvoXcpF32w?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

# Case Study - 0xtyle: From Strong to Exceptional 

In June, we highlighted 0xtyle’s strong performance, marked by a 77% win rate over 83 closed positions, a profit factor of 8.5, and an average profit-to-drawdown ratio of 0.75. At the time, we noted that this last metric suggested a possible **tendency to average down when trades moved against him**, and we committed to tracking his execution over the coming months.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe83p6cjNHwVF_zLVnopNUr4Zpoh6Q3PClPTAz8BF8AKusSOEsHde2jumOPQEbEV6iwi2ncfKC5grEF0XePM5I3jiO71tRLSOhug4xLMF4W48pF8PMmq8jgpeY4sSJ-o7IFJQN8xA?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

Of course, July’s results, aided by favorable market conditions, were even stronger. His **win rate rose by 7.5 percentage points to 84.6%**, and his **profit factor increased from 8.5 to 33.7** (a 3.96x increase). Over 53 closed positions, his average win was $308k versus an average loss of $50k. Additionally, his **average profit-to-drawdown ratio improved sharply from 0.75 to 3.06, pointing to an even more efficient execution profile**.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeSwvVx8G2TaSBq2oEO4SfatFNC6oowfC84oudVjqSPDHS5PrKf_yVVDfuf2WINLlJnRGRU5Ml36TWOKFZxy0TjaxviZhbvBpvDicnqh5qdm3ElRfBXo2rZkcUE7oSh59AjHUciMA?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

**PnL ($) distribution remained strongly positively skewed**. The 1st percentile showed a loss of $146k, while the 99th percentile recorded a $2M gain, a **13.8x difference**. Consistent with June, the majority of profits came from the bulk of his positions (+$11M from 98% of trades), with the remaining 2% accounting for $2.1M.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf8hQm-fPThJXAJYLh0OfyQLEHYjRZTbjBaN-_GBanciRtFNm8B0NFhOHaJmY4GdCpQYA6iMFuztvRILLR3zNzHKkDfOo8QGrCLkdwZMXXnzu6u5EspZCapMtz1Sk4vnBfr2P_sDw?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

The **same pattern was evident in ROI terms**. The 1st percentile ROI was -6.7%, compared to +31.6% at the 99th percentile (4.7x). The 5th and 95th percentiles showed an even wider spread, from -2% to +21.2% (nearly 10x).

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdP_-f77djiWV02H90RbJkz0pJh1fTr79douR6-VP8TnaTMYV2QMv-6I_i7WZ4-FmG6_wqIiK2OzugR0_hXMz8GlOAMqarOEWt_VJ5yYVbreXMt5Vbrwe9BKHH1lJaZr1Dz0uDX9g?key=xLQxQfeKyZ2bwSQcPV2WJQ align="center")

Eventually, this combination of a high win rate, skewed return distribution, and improved risk efficiency produced another exceptional month for 0xtyle, surpassing even June’s results.

# Conclusion

July’s strong market backdrop created ideal conditions for directional strategies, and the top traders capitalized fully, posting significant gains. The data shows that while trading styles differed, **a clear bias toward long exposure was the common driver of performance**.

0x045’s results were almost entirely driven by a single $HYPE position held for around four months. 0xtyle combined high win rates with improved execution efficiency, achieving gains across 18 of 20 traded symbols. 0x8af focused on large-cap assets, with $BTC accounting for the majority of his profits.

Stay connected for more insights in the upcoming month's edition.

**Follow our highlight traders on Twitter:**

* Trader 0x045: *please if you know, let us know his twitter handle*
    
* Trader 0xtyle: *likely corresponds to* [*https://x.com/0xtyle*](https://x.com/0xtyle)*, though we are not fully certain.*
    
* Trader 0x8af: *please if you know, let us know his twitter handle*
    

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