Someone Predicts South Korean Stock Market with Hyperliquid, Achieving 74% Accuracy?

Q: What is the main finding of the analysis regarding Hyperliquid's weekend contracts for predicting Korean stock market opens?

The analysis found that Hyperliquid's weekend contracts, specifically for Samsung Electronics, predicted the direction of Monday's KRX opening auction with 94% accuracy (15 out of 16 times), a result highly unlikely to be due to random chance (p-value < 0.001).

Q: Why was the performance of the EWY contract on Hyperliquid significantly worse than for Samsung Electronics?

The EWY contract performed poorly because NYSE opens approximately 14 hours after Hyperliquid's Sunday close. By that time, new information from a full day of KRX trading, European markets, and US pre-market activity becomes available, which was not reflected in the Hyperliquid weekend price.

Q: What was the author's method to test if the Samsung result was due to last-minute convergence or genuine price discovery?

To test this, the author repeated the analysis using Saturday's closing price on Hyperliquid instead of Sunday's, creating a 24-hour lead time. The result showed a 75% accuracy rate, indicating the signal existed beyond just last-minute convergence before KRX open.

Q: How did the author account for potential bias from a stock's inherent Monday opening direction when evaluating the results?

The author noted that for stocks like Hyundai Motor, which had a 62% probability of opening down on Mondays, a high accuracy rate needed to be considered against this baseline. They also mentioned that Samsung's Monday openings were evenly distributed, so a high accuracy was not due to a directional bias.

Q: What is a key limitation of the study's findings mentioned by the author?

A key limitation is the small sample size (only 16 weekends for Samsung Electronics) and the fact that the results have not yet been validated out-of-sample.

Foresight NewsPublished on 2026-06-10Last updated on 2026-06-10

Abstract

A study analyzed whether weekend price movements of four Korean stock perpetual futures contracts (Samsung Electronics, SK Hynix, Hyundai Motor, and EWY) on Hyperliquid could predict their Monday opening directions on their respective primary exchanges (KRX, NYSE). Over 62 weekend observations across the four assets, Hyperliquid correctly predicted the Monday opening direction 45 times (73.8% accuracy). However, performance varied significantly. Samsung Electronics showed the strongest and statistically significant signal, with Hyperliquid's weekend close correctly predicting its KRX Monday open in 15 out of 16 cases (94% accuracy, p-value < 0.001). This signal remained strong (75% accuracy) even when using Saturday's close instead of Sunday's, suggesting genuine price discovery beyond last-minute convergence. Hyundai Motor also showed high accuracy (81%, 13/16 correct), but this was not statistically significant after accounting for a baseline downward bias in its Monday opens. SK Hynix performed marginally better than a coin flip (63%, 10/16). EWY performed the worst (54%, 7/13), underperforming a simple strategy of always predicting a Monday rise. The stark difference between Samsung and EWY is largely attributed to market timing. KRX opens shortly after Hyperliquid's Sunday close, while NYSE opens ~14 hours later, allowing new information to flow in. The results suggest that for assets like Samsung Electronics, where weekend trading on Hyperliquid precedes the primary...

Written by: Ponyo(@ponyo_fp), Four Pillars Researcher & Hyperliquid Core Contributor

Compiled by: AididiaoJP, Foresight News

In February, TradeXYZ launched perpetual futures contracts for Samsung Electronics, SK Hynix, Hyundai Motor, and EWY on Hyperliquid, allowing investors to gain exposure to South Korean stocks on weekends for the first time.

I reviewed the weekend price movements of these stock contracts since their launch, covering a total of 62 observation samples across the 4 assets. I compared each contract's movement from Friday close to Sunday close with the direction of the underlying asset's Monday opening auction. For South Korean stocks, I used the KRX opening price at 9:00 AM (KST); for EWY, I used the NYSE opening price at 9:30 AM (ET).

Hyperliquid correctly predicted the opening direction in 45 out of the 62 cases, an accuracy rate of 73.8%. This number sounds good, but the aggregate data masks highly uneven performance across different assets.

Samsung Electronics shows a clear outlier. Hyperliquid correctly predicted the direction 15 out of 16 weekends. Since Samsung's Monday openings were evenly distributed between up and down, there's no inherent directional bias inflating the hit rate. The binomial test (against a 50% benchmark) yields a p-value of 0.0003, meaning the probability of such a strong result occurring by random chance is only 0.03%. Although the sample size is still small, a result of 15 correct out of 16 is hard to ignore.

Hyundai Motor also performed well, with 13 correct predictions out of 16, an 81% accuracy rate. However, after accounting for the stock's slight downward bias on Mondays, this result did not reach statistical significance. During the sample period, Hyundai Motor opened lower on Mondays 62% of the time, meaning a simple strategy of always predicting "down" would have had a high baseline win rate.

SK Hynix is less convincing. It was correct only 10 out of 16 times, barely better than a coin flip. Some misses were significant. On the weekend of June 5-7, the Hyperliquid contract closed up 0.11%, while SK Hynix gapped down 10.34% at the Monday KRX open.

EWY had the worst results. It was correct only 7 out of 13 weekends, even underperforming the benchmark. Out of those 13 Mondays, EWY opened higher 10 times, accounting for 77%. A simple weekly prediction of "up" would have outperformed Hyperliquid's signal. Meanwhile, the Hyperliquid weekend contract closed down in 9 out of the 13 cases, repeatedly pointing traders in the wrong direction.

The discrepancy between Samsung Electronics and EWY can largely be explained by market time differences. The KRX opens at 9:00 KST, which is 00:00 UTC, almost exactly coinciding with Hyperliquid's daily candle reset time. Therefore, the time gap between Hyperliquid's last weekend trade and the KRX opening auction is only a few minutes.

In contrast, EWY trading on the NYSE doesn't start until 9:30 AM ET, about 14 hours after Hyperliquid's Sunday candle close. By then, the entire Monday trading session on the KRX is complete, European markets are open, and US pre-market trading has incorporated a new round of information. The information set determining EWY's Monday open simply didn't exist when Hyperliquid's weekend candle closed.

A reasonable critique is that even Samsung's results might reflect last-moment convergence rather than genuine price discovery. Informed traders might adjust positions on Hyperliquid just before the KRX opens, making this "prediction" almost tautological.

To test this, I repeated the analysis using Saturday's close instead of Sunday's, creating a lead time of about 24 hours instead of just minutes. The results show that the Saturday signal still predicted Samsung's Monday opening direction with 75% accuracy (against a 50% benchmark). Sunday trading improved the result but didn't create the signal from scratch.

In comparison, Samsung's own Friday price movement predicted Monday's direction with only 62% accuracy. This suggests Hyperliquid's weekend market provides information beyond a simple continuation of the previous KRX trading session.

Among the four assets tested, only Samsung Electronics produced a statistically significant directional signal. The sample size remains small, and the results have not been validated out-of-sample. Nevertheless, this might still be valuable information for anyone trading Samsung Electronics or the broader KOSPI market.

Despite an average weekend trading volume of only about $12,000, Hyperliquid correctly predicted the Monday opening direction for a company with a market cap of roughly $300 billion with 94% accuracy and a p-value below 0.001. For anyone trading Samsung Electronics on the KRX, checking Hyperliquid's weekend closing price before Monday's opening auction appears to be a very worthwhile practice.

Trade.xyz's Rebase Refusal Sparks Controversy, On-Chain Pre-IPO Market Faces Major Pricing Test

The debate surrounding Trade.xyz's refusal to adjust its SPCX (SpaceX pre-IPO) perpetual contract pricing amid updated share count revelations highlights a key challenge for on-chain pre-IPO markets. While several centralized exchanges (CEXs) paused and repriced their contracts after SpaceX's filing showed a ~10% increase in total shares, Trade.xyz maintained its market-driven pricing logic, which tracks expected per-share price sentiment rather than fundamental valuation metrics like market cap. This discrepancy triggered cross-platform arbitrage and caused leveraged long positions on Trade.xyz to suffer significant losses, as the platform's HIP-3 architecture lacks a native "Rebase" mechanism to neutrally adjust all user positions following such corporate actions. The incident underscores the difficulty for decentralized perpetual exchanges (Perp DEXs) to implement Rebase—a process CEXs handle by centrally pausing markets and adjusting ledger data. On-chain, this requires complex smart contract modifications, increasing gas costs, complexity, and potential attack surfaces. While some DEXs have managed similar adjustments, Trade.xyz's current design does not natively support it, though the team is reportedly exploring solutions for future events like stock splits. Ultimately, the controversy serves as a critical case study for the nascent on-chain pre-IPO sector, raising questions about price discovery reliability, transparent rule disclosure, and the readiness of DeFi infrastructures to handle traditional corporate actions as real-world assets (RWAs) gain traction.

marsbit5m ago

Trade.xyz's Rebase Refusal Sparks Controversy, On-Chain Pre-IPO Market Faces Major Pricing Test

marsbit5m ago

The 'Middle Eastern Prince' Swindles a Wealthy Woman: Renting Planes and Rolls-Royces, Scamming 120 Million Over Three Years

Two brothers who posed as "Middle Eastern princes" have been sentenced in the United States to 24 and 23 years in prison, respectively, and ordered to pay over $21.2 million in restitution and back taxes. Over three years, they fraudulently obtained approximately $21 million, primarily by promoting fictitious investment projects, including a non-existent cryptocurrency mining operation in a former General Electric industrial park in East Cleveland. The brothers, aged 42 and 33, created elaborate personas: one claimed to be a wealthy royal family heir and the city's "International Economic Advisor," while the other posed as a hedge fund manager with expertise from watching the TV show *Billions*. They bolstered their image by renting luxury cars and private jets and cultivating a relationship with a local mayor's chief of staff, who provided official-looking documents and government event access. A significant portion of the victims' funds, about $18 million, came from a single Chinese investor, a woman from Sichuan with experience in Bitcoin mining. The brothers also defrauded several women, including one former girlfriend. Their scheme unraveled when the primary investor discovered her $6 million worth of mining equipment had been sold off. The case highlights a trend of impostors using fabricated "Middle Eastern royal" identities to target wealthy individuals. Similar incidents include a "Dubai prince" who recently promoted a $500 million family office in Hong Kong and a Colombian man who impersonated a Saudi prince for decades in the US before being caught and sentenced in 2019.

marsbit19m ago

The 'Middle Eastern Prince' Swindles a Wealthy Woman: Renting Planes and Rolls-Royces, Scamming 120 Million Over Three Years

marsbit19m ago

a16z Partner: Being in the Flow of Capital Is the True Moat

A16z Partner: Standing in the Cash Flow is the True Moat Historically, many of the strongest companies built their moats by positioning themselves within "cash flows"—facilitating value creation and transfer in a network and taking a cut. The more value flows, the larger they grow. Crypto is the first modern technology natively built for this. With open ledgers, programmable settlement, and stablecoins enabling internet-speed global value transfer, it allows startups to inherit network effects from day one. Well-designed tokens align users, developers, and the protocol towards network growth, distributing value to contributors. This model isn't new (e.g., railroads, Visa, Google, AWS) but Crypto democratizes it. It lets entrepreneurs target areas with high inefficiency and profit extraction—like traditional finance's payments, custody, FX, and settlement—to compress costs, increase speed, and redistribute value by standing in the new flow. The opportunity extends beyond finance to emerging markets like GPU/compute, AI training data, energy, and space, where new, programmable infrastructure can be built without legacy constraints. Key questions for founders: Are you already in the cash flow? Does your revenue scale 10x with network activity? Where is profit extraction highest relative to value created in your market? The strategy is clear: compress the old cost structure, position yourself in the new value stream, and let the network compound.

marsbit46m ago

a16z Partner: Being in the Flow of Capital Is the True Moat

marsbit46m ago

Capturing 15 Top-Tier Zero-Day Vulnerabilities: A Consensus Protocol Debug Agent Framework Built by 0G Lab in Collaboration with Teams from NUS, PKU, and BUPT

"Agents Capture 15 Critical Zero-Day Bugs: 0G Lab's Multi-Agent Framework Automates Debugging in Consensus Protocols" Distributed consensus protocols are notoriously difficult to debug due to complex, intertwined states. A novel framework, Agora, developed by 0G Labs with researchers from NUS, Peking University, and Beijing University of Posts and Telecommunications, tackles this by fusing deep domain expertise with a collaborative multi-agent LLM architecture. Agora moves beyond the limitations of single LLMs and traditional testing like fuzzing. It employs three specialized agents: an Orchestrator for global state, a Strategy agent for generating attack scenarios using distributed systems knowledge, and a TestGen agent that creates executable tests. A core innovation is its efficient "Succinct Memory & Communication" mechanism and a dynamic test harness. This allows the system to translate abstract hypotheses into concrete tests across languages like Go and Rust, run them, capture failures, and refine the approach in a closed loop—all with minimal token overhead. In rigorous evaluations on production-level protocols including Raft, EPaxos, and components from etcd and Sui, Agora discovered 15 previously unknown deep logic bugs (e.g., execution divergence, liveness violations). In stark contrast, powerful standalone LLMs like GPT-5.2 and Claude 4.5 found zero such bugs. Agora achieved this with a high precision of 73.9% and at an average cost of only about $40 per bug found. The framework demonstrates high generalizability. Its decoupled design allows the "Multi-Agent + Hypothesis-Driven Testing" paradigm to be applied to other complex domains like database concurrency control, OS kernels, and Web3 smart contract auditing. By enabling efficient, automated detection of deep logic flaws, Agora points the way for AI-powered security in critical infrastructure, aligning with the growing trends of agentic systems and automated quality control.

marsbit50m ago

Capturing 15 Top-Tier Zero-Day Vulnerabilities: A Consensus Protocol Debug Agent Framework Built by 0G Lab in Collaboration with Teams from NUS, PKU, and BUPT

marsbit50m ago

a16z crypto Partner: Cash Flow Is the True Moat

Title: a16z Crypto Partner: Capital Flow is the True Moat In business history, enduringly successful enterprises often share a core logic: capturing value by facilitating its creation and transfer within an ecosystem, taking a share of the proceeds. The scale of value flowing through the ecosystem directly correlates with the company's growth. Cryptography is the first modern technology natively suited to this commercial logic. Startups that don't leverage this framework in product design and business model construction miss significant opportunities. Stablecoins enable internet-speed, 24/7 global settlement of value with end-to-end programmability. With open underlying channels for capital flow and transparent unit economics, every circulating dollar globally represents potential flow in this arena. Blockchain is inherently a network business model. All transactions are recorded on a shared ledger, and each new participant strengthens this foundational system for future developers. More users and applications increase the network's value for all. Crypto entrepreneurs start with built-in network effects, unlike traditional businesses that spend years building them on legacy infrastructure. Network tokens amplify this advantage. A well-designed token system aligns users, developers, service providers, and validators around a common goal—network growth—while distributing rewards based on contribution. All proceeds flow back to ecosystem participants, creating a virtuous cycle of value circulation. This is not a new logic; the crypto industry simply makes it easier for startups to implement and scale. Historic giants like railroads, Standard Oil, AT&T, and modern leaders like Google and AWS succeeded by positioning themselves at critical junctures of value flow. In finance, Visa processed $15.7 trillion in payments (net revenue: $35.9B), and top market makers like Jane Street thrive by being in the path of order flow, benefiting from volume. Combining capital flow with network effects creates one of business's most robust models. As Jeff Bezos noted, "Your margin is my opportunity." This is acutely true in traditional finance, where sectors like payments, custody, and settlements extract significant fees (e.g., 2-3% for card networks, 6-9% for cross-border transfers). These profits represent opportunities for disruption by reducing costs and increasing efficiency, as proven by Stripe and Square in payments. Crypto founders can build the next-generation infrastructure: programmable, instant, global, and inherently embedded in capital flow paths. Opportunities extend beyond finance to markets like compute/GPU trading, AI training data, energy, robotics, and critical minerals—areas poised for massive global value movement that existing channels cannot handle. These are blue oceans for new, programmable infrastructure centered on capital flow, free from entrenched platforms and intermediaries. Founders should ask: Is your business at the heart of a value flow? Does your revenue scale 10x with ecosystem transaction growth? Where are the highest margins relative to value created in your target market? The answers point to the opportunity: cut existing costs, enter new value flow arenas, and grow through network effects.

Foresight News51m ago

a16z crypto Partner: Cash Flow Is the True Moat

Foresight News51m ago

Trading

Spot

Futures