Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?

marsbitPublished on 2026-05-20Last updated on 2026-05-20

Abstract

On Hyperliquid, approximately 75% of addresses are losing money, indicating that manual traders are increasingly competing against automated systems. Profitable traders primarily employ one of three approaches: 1) Running systematic, high-frequency strategies (e.g., one address executed 261k trades with a 64.75% win rate), 2) Placing high-conviction, asymmetric bets with large positions (e.g., 50 trades yielding $4.48M at a 28% win rate), or 3) Using algorithms for execution while making manual macro judgments. The article argues that traditional methods like chart patterns or reacting to social media news are often already priced in by bots, making such traders the "exit liquidity" for systematic players. Success now depends on unique narrative timing, structural insights, or conviction during market capitulation.

Author: Stacy Muur

Compiled by: Deep Tide TechFlow

Deep Tide Guide: Three-quarters of addresses on Hyperliquid are losing money. It's not bad luck; the rules of the game have changed. While you're still looking at candlestick patterns for formations, arbitrage bots have already made their profit. Data shows that truly profitable traders either use algorithmic systematic execution or place large bets on asymmetric opportunities with high conviction. Manual retail traders watching screens are becoming the exit liquidity for others.

About 75% of addresses on Hyperliquid are in a loss-making position.

The reality is that people trading manually on Hyperliquid are competing against systems that never rest. The trading opportunity you just discovered has likely already been priced in by the system.

When you see a certain pattern, chances are it has already been arbitraged.

Extreme funding rates are balanced in an instant.

Technical patterns have already appeared across more than 50 order books.

News headlines are priced in as soon as they appear.

What the most profitable traders are doing:

→1. Running systematic strategies (the second most profitable address executed 261,000 trades this month with a 64.75% win rate)

→ 2. Holding high-conviction positions, betting on asymmetric returns (a wallet made $4.48 million with just 50 trades and a 28% win rate)

→ 3. Using algorithms as execution tools while making macro judgments manually

If you have timing in narratives, structural insight, or conviction when everyone else capitulates, you can still make profitable trades.

But if your trades are based on chart patterns or news you saw on X, you are likely just exit liquidity.

Related Questions

QAccording to the article, what percentage of addresses on Hyperliquid are losing money, and what is presented as the primary reason?

AApproximately 75% of addresses on Hyperliquid are losing money. The primary reason is that manual traders are competing against automated, systemized strategies that execute trades faster and more efficiently, often pricing in opportunities before a human trader can act.

QWhat are the two main strategies used by the most profitable traders on Hyperliquid, as described in the article?

AThe two main strategies are: 1. Running systematic, automated strategies (one example executed 261,000 trades with a 64.75% win rate). 2. Holding high-conviction positions to bet on asymmetric opportunities (one wallet made $4.48M with only 50 trades, despite a 28% win rate).

QThe article suggests that several common trading signals are often ineffective. Name at least three of these signals.

AThree common but often ineffective signals mentioned are: 1. Technical chart patterns (which appear across many order books). 2. Extreme funding rates (which get arbitraged instantly). 3. News headlines (which are priced in immediately upon release).

QWhat role does the article suggest algorithms can play for a trader who still wants to make manual, high-level decisions?

AThe article suggests using algorithms as an execution tool. A trader can make macro or high-level directional judgments manually, and then use an algorithm to handle the rapid, systematic execution of trades based on that judgment.

QAccording to the article's conclusion, what kind of manual trader is most likely to succeed, and what kind is most likely to fail?

AA manual trader who succeeds is likely one acting on deep narrative timing, unique structural insights, or having strong conviction when others are capitulating. A manual trader who fails is likely one whose decisions are based on commonly seen chart patterns or news headlines found on social media (like X), as they become 'exit liquidity' for others.

Related Reads

Must-Watch Events Next Week|CLARITY Act Could Face Senate Vote; SpaceX, Circle to Report Earnings (8.3-8.9)

**Summary: Key Events and Developments to Watch (August 3-9)** The upcoming week is marked by significant financial disclosures, key legislative deadlines, and notable product updates. **Major Financial Events:** Several companies are scheduled to release their Q2 2026 earnings. American Bitcoin (ABTC) will report on August 3, followed by SpaceX and Hut 8 Mining Corp. on August 4, and Circle on August 5. Notably, a significant portion of SpaceX shares (up to 12% of total shares) will be unlocked on August 6 following their earnings release. **Key Legislative Deadline:** The U.S. Senate faces an August 7 deadline to secure 60 votes for the CLARITY Act, a bipartisan bill aiming to establish a federal regulatory framework for cryptocurrencies. The Senate may hold a full vote on the bill during the week. **Economic Data:** The U.S. July Non-Farm Payrolls report will be released on August 7, providing crucial labor market data. **Technology & Product Updates:** * **Shutdowns:** DeFi portfolio tracker Zapper and wallet app Ctrl Wallet will cease operations on August 3. * **Upgrades:** LayerZero will deprecate its v1 relayers on August 3. XRP Ledger's new version 3.3.0, featuring five new functions, is expected next week. * **AI:** Elon Musk announced that the advanced Grok 4.6 AI model is set for release around August 7. * **Bitcoin:** The BIP-110 forced signaling for a potential Bitcoin network change is scheduled to begin around August 8. **Other Notable Events:** Chinese robotics firm Unitree Tech has set its preliminary price inquiry for its IPO for August 5. South Korean exchange Upbit will delist AQT and AERGO tokens on August 3.

marsbit2h ago

Must-Watch Events Next Week|CLARITY Act Could Face Senate Vote; SpaceX, Circle to Report Earnings (8.3-8.9)

marsbit2h ago

Stocks Are Plummeting More Sharply Than Cryptocurrencies. Where Has the Money Gone?

Stock Markets Plunge Deeper Than Cryptocurrencies: Where Did the Money Go? In late July, Seoul's Kospi index triggered circuit breakers for two consecutive days, plummeting over 40% from its June high. The collapse was led by heavyweight stocks like SK Hynix, whose record profits still disappointed investors, and devastating leveraged ETFs, with one major product losing over 83% of its value. This signaled a global, forced deleveraging targeting the most crowded trades. Interestingly, while stocks exhibited extreme volatility akin to crypto markets, Bitcoin rose nearly 15% in July after a prior steep drop. Analysis shows the money fleeing equities did not flow into Bitcoin. Instead, Bitcoin had already absorbed its sell-off in May-June, when U.S. spot Bitcoin ETFs saw historic outflows. The true safe-haven beneficiary was gold, whose price rose over 20% year-on-year, highlighting a decoupling between Bitcoin and gold as "digital gold." The sell-off was a targeted unwinding of leveraged positions in tech and semiconductors, accelerated by broker-dealer risk management and shifts in the AI narrative, including new competition from Chinese memory chipmakers. The retreat path was clear: from high-valuation tech stocks to cash and U.S. Treasuries, then to gold. For Bitcoin to attract sustained institutional inflows, conditions like eased global liquidity pressure, a "soft-landing" Fed rate cut, and U.S. regulatory clarity via legislation like the stalled CLARITY Act are needed. Currently, Bitcoin is not a safe haven but an already-cleared asset. Its low correlation with tech stocks, however, makes it a potential diversification play for institutional portfolios once the storm passes. The money isn't here yet, but the positioning is underway.

marsbit2h ago

Stocks Are Plummeting More Sharply Than Cryptocurrencies. Where Has the Money Gone?

marsbit2h ago

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbit5h ago

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbit5h ago

Trading

Spot
活动图片