Parsing the HyperEVM Arbitrage Bot: How to Seize a 2-Second Opportunity to Earn $5 Million?

By: blockbeats|2025/10/21 17:30:04

Original Article Title: How We Made $5M Running the #1 Arbitrage Bot on HyperEVM

Original Article Author: CBB

Original Article Translation: Saoirse, Foresight News

It is now March 2025, and the cryptocurrency industry seems to be in turmoil, heavily impacted by tariffs. We have been searching for the next prime opportunity — at that time, 40% of the HYPE tokens were still awaiting distribution to the community, which we saw as a potential breakthrough. Back in February, we had tested some liquidity strategies on the UNIT asset, but it was all small-scale experimentation that did not yet take off.

Upon the launch of HyperEVM, several decentralized exchanges (DEXs) were introduced as part of the ecosystem. My brother suggested, "Why don't we try arbitraging between HyperEVM and Hyperliquid? Even if it requires some upfront investment, we might be able to participate in Hyperliquid's third-quarter event." We promptly began our attempts and indeed found arbitrage opportunities, but we were uncertain if we had a competitive edge.

Why Are There Arbitrage Opportunities on HyperEVM?

HyperEVM has a 2-second block generation interval, meaning the price of the HYPE token updates only once every 2 seconds. Within these 2 seconds, the price of HYPE may have fluctuated, causing HYPE on HyperEVM to often be either "underpriced" or "overpriced" compared to the Hyperliquid platform.

Initial Attempts and Results

We deployed the first version of our arbitrage bot, with basic functionality: whenever there was a price discrepancy between the automated market maker (AMM) DEX liquidity pool on HyperEVM and the Hyperliquid spot market, it would initiate a trade on HyperEVM and hedge on Hyperliquid.

For example:

- If HYPE's price rises on Hyperliquid, it would be undervalued on HyperEVM;

- Arbitrage process: Buy the "underpriced" HYPE with USDT0 on HyperEVM → Sell HYPE to convert to USDC → Swap USDC back to USDT0 on Hyperliquid.

In the first few days, our daily trading volume on Hyperliquid was around $200,000 to $300,000. Not only did we avoid losses, but we also managed to profit a few hundred dollars. Initially, the arbitrage threshold we set was: after deducting the transaction fees of the AMM DEX and Hyperliquid, a trade would only be executed if the profit exceeded 0.15%.

Two weeks later, as the profit continued to grow, we saw greater potential and also identified two competitors who were operating identically to us—albeit on a smaller scale. We were determined to eliminate them.

In April 2025, Hyperliquid introduced the HYPE staking rebate mechanism (staking tokens could offset transaction fees), which was a great opportunity for us. Our fund size already exceeded that of our competitors, so we staked 100,000 HYPE tokens, received a 30% transaction fee rebate, and reduced the arbitrage profit threshold from 0.15% to 0.05%.

Our goal was clear: to force our competitors to exit by maximizing pressure and monopolizing the market. At the same time, we planned to increase the trading volume to over $500 million within two weeks to upgrade our fee tier on Hyperliquid.

Ultimately, the trading volume and profit soared simultaneously. When the trading volume exceeded $500 million, our competitors were completely at a loss. I still remember that day: my brother and I were flying from Paris to Dubai, watching the bots "printing money" crazily, making a profit of $120,000 within 24 hours, while both competitors shut down their bots.

Nevertheless, some competitors did not give up. They were enduring higher fees, forcing us to compress the arbitrage profit margin to about 0.04% (essentially equal to the difference in fees between us and them). Despite this, our trading volume remained strong, and daily profits stabilized between $20,000 and $50,000.

Issues and Solutions in Scaling Up

As our business expanded, we encountered new limitations: the Gas fee limit per block on HyperEVM was 2 million, while a single arbitrage transaction consumed about 130,000 Gas. This meant that each block could only handle 7-8 arbitrage trades at most. Especially as more liquidity pools and DEXs went live on HyperEVM, this limitation became more pronounced, and there were even instances of transaction congestion—we had to quickly address this to avoid transaction queues and order book imbalances.

To tackle this, we took four measures:

· Enabled over 100 wallets, each initiating arbitrage transactions separately to avoid queueing caused by a single wallet executing too many transactions;

· Limit each block to a maximum of 8 arbitrage transactions;

· Gas Price Control: When the Gas price on HyperEVM surges, increase the required return on investment (ROI) for arbitrage to avoid transactions getting stuck due to high Gas fees;

· Transaction Rate Limit: If the number of transactions sent in the past 12 seconds exceeds a set amount (x transactions), then increase the profit requirement for new transactions.

Optimization Upgrade Era: From "Taker" to "Liquidity Provider"

As our profits continued to grow and our trading volume reached 5-10 times that of our competitors, we became obsessed with further optimization—after all, in the cryptocurrency industry, what was profitable today could be overtaken by new players tomorrow.

Transition to Liquidity Provider: Seizing More Opportunities

In June 2025, my brother proposed an idea that had been brewing for weeks: to conduct arbitrage on Hyperliquid as a "Liquidity Provider" instead of a "Taker" (Note: a Liquidity Provider offers liquidity, placing orders and awaiting execution; a Taker directly matches against existing orders). This transition had two major advantages:

· It could capture more arbitrage opportunities brought about by rapid price fluctuations in HYPE;

· Each transaction could save 0.0245% in fees, directly increasing profits.

However, the transition also came with risks: as a Liquidity Provider, we needed to first have our orders executed on Hyperliquid but couldn't guarantee completing the reverse transaction on HyperEVM (there might be opponents faster than us), leading to order book imbalances and potential losses.

During initial testing, we experienced imbalances of up to ±10k HYPE each time—we sometimes sent 100 transactions within 20 seconds, but without any data analysis tools, we couldn't find the reason for the imbalance, making the situation a mess.

To address this issue, we introduced a series of concepts and translated them into code and parameters:

· Profit Range: Clearly defining when to create an order, when to hold an order, and when to cancel and re-place an order;

· Liquidity Provider Trading Range: Specifying the AMM liquidity pools willing to participate in liquidity provision (e.g., the HYPE/USDT0 pool on HyperSwap with a 0.05% fee rate, the HYPE/UBTC pool on PRJX with a 0.3% fee rate);

· Single Pool Trading Size and Order Limit: Set a maximum trading size and order limit for each AMM liquidity pool.

The parameters for the LP trading are as follows:

Parsing the HyperEVM Arbitrage Bot: How to Seize a 2-Second Opportunity to Earn Million?

After several days of fine-tuning, we have finally resolved the imbalance issue. Even if imbalance occurs occasionally, it can be quickly adjusted through Time-Weighted Average Price (TWAP) to control risk. This transformation can be described as a "game-changer" — while competitors are still in the "order eater" mode, our trading volume has reached 20 times theirs.

Skip the USDT0/USDC Exchange to Reduce Costs

Another major challenge is related to stablecoins: the primary stablecoin on Hyperliquid is USDC, while on HyperEVM it is USDT0; the HYPE/USDT0 liquidity pool on HyperEVM has the highest trading volume and most arbitrage opportunities. However, due to different cross-chain stablecoins, we need to execute 2 additional trades on Hyperliquid to complete asset hedging, for example, when the HYPE price surges:

1. LP order execution → Sell HYPE for USDC with zero fees;

2. Buy HYPE with USDT0 on HyperEVM;

3. Sell USDC for USDT0 on Hyperliquid as an order eater (0.0245% fee).

The drawback of the third step is evident: having to pay the order eating fee (reducing profits, weakening competitiveness), and the USDT0/USDC trading market on Hyperliquid is not mature enough (with spreads and pricing deviations).

Therefore, we have designed new parameters and logic to skip this step as much as possible:

· USDC Balance Threshold: Only skip the USDT0→USDC exchange when the USDC balance exceeds 1.2 million;

· USDT0 Balance Threshold: Only skip the USDC→USDT0 exchange when the USDT0 balance exceeds 300,000;

· Real-Time Price Data Source: Call the Cowswap API every minute to obtain the real-time price of USDT0/USDC, instead of relying on Hyperliquid's order book price.

Introducing Perpetual Contracts to Diversify Revenue Streams

First and foremost, we'd like to clarify that throughout our entire cryptocurrency investment journey, we have never utilized leverage or perpetual contracts (except for an unsuccessful attempt on Bitmex in 2018), and we have limited knowledge of how they operate.

However, we observed that the trading volume of HYPE perpetual contracts is significantly higher than spot trading, with lower fees as well (spot trading 0.0245% vs perpetual contracts 0.019%). Therefore, we decided to explore combining our arbitrage strategy with perpetual contracts—back then, no competitors were using this approach, so we didn't need to compete with them in the same order book liquidity.

More importantly, during the testing phase, we discovered that leveraging perpetual contracts not only allowed us to earn arbitrage profits but also enabled us to profit from the "funding rate." When the HYPE perpetual contract exhibited a premium or discount relative to the spot price, we could capture additional arbitrage opportunities—areas where our competitors had not ventured into.

For this purpose, we designed new system parameters:

· Position Limit: Set the maximum long/short position size for HYPE perpetual contracts to avoid liquidation or depleting the USDC/HYPE balance;

· Premium/Discount Monitoring: Real-time tracking of the premium or discount of perpetual contracts relative to the spot price;

· Premium/Discount Cap: If the premium is too high, cease opening long positions and resort to spot trading instead;

· Progressive ROI: The larger the position size, the higher the required arbitrage profit, to prevent quick entry into risky positions;

· ROI Calculation Formula: Comprehensive calculation combining the perpetual contract's premium/discount and the position size.

Below is an example interface/parameter setting for configuring a short position in the HYPE token as a maker:

Introducing perpetual contracts was one of the key upgrades—we earned approximately $600,000 solely through the funding rate and captured more arbitrage opportunities leveraging the premium/discount.

Brotherly Partnership: Collaborative Mode and Complementary Advantages

People often inquire about how we divide tasks and collaborate. The external perception seems to be that I am the "meme creator," only engaging in casual cryptocurrency social media discussions (CT), while my brother is merely a "tech geek," responsible for coding. However, the reality is much more intricate—our collaboration model is akin to what we previously experienced during our involvement in Blur mining.

During the operation of the arbitrage bot, we encounter new issues every day that require timely resolution. We discuss optimization solutions continuously, and all decisions must be consensus-driven before execution. My brother is responsible for the code but also develops tools that allow me to adjust parameters autonomously; I have no coding knowledge whatsoever, and my brother is not good at configuring the bot parameters—we complement each other perfectly.

Interestingly, our work styles are completely opposite: my brother likes to push updates and try new features (which I find somewhat excessive); whereas I am very conservative (he thinks overly so) and am only interested in maintaining the current version if the bot is consistently profitable.

Our daily conversations often go like this:

· Me (in an impatient tone): "Something's off with the bot... Did you change something?"

· Brother: "Nope... Just made some insignificant tweaks at most."

Additionally, as a two-person team without formal company processes, after iterating the bot over 250 versions, we sometimes feel that the more we build, the harder it becomes to fully comprehend and control our creation. It's challenging to anticipate the ripple effects of each update.

Summary

Over the past 8 months, we have dedicated ourselves to building and optimizing this arbitrage bot—especially in June 2025 when the crypto market maker, Wintermute, entered with significant liquidity and a team, intensifying the competition.

I still remember those 5 days in July: my brother and I had planned to relax in Istanbul and Bodrum (Turkish cities) but ended up focusing on optimizing the bot the entire time.

Ultimately, our bot held the top position in the HyperEVM arbitrage field for 8 consecutive months. By October, as the market share gradually declined, we felt it was time to exit.

The core data from this experience:

· Total Profit: $5 million;

· Total Trading Volume on Hyperliquid: $12.5 billion;

· Gas Fees Paid on HyperEVM: $1.2 million (20% of the total Gas fees since HyperEVM's launch);

· Total Time Invested: Over 2000 hours;

· 5% of the total transaction volume in the UNIT ecosystem.

Looking forward to the arrival of Hyperliquid Season 3 and UNIT Season 1.

Original Post Link

Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.

The following is the original content:

Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.

Never Underestimate "Institutional Inertia"

In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.

When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."

Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.

A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.

I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.

The Software Industry Has "Infinite Demand" for Labor

Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.

But everyone overlooks one thing: the current state of these software products is simply terrible.

I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.

From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.

Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.

I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.

This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.

Redemption of "Reindustrialization"

Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.

But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.

As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.

We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.

We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.

Towards Abundance

The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.

My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.

At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.

If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.

Source: Original Post Link

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