Terraform Labs sues Jump Trading for $4 billion in damages. Backdoor deals allegedly inflated TerraUSD’s value, leading to collapse. Jump Trading defends itsel Terraform Labs sues Jump Trading for $4 billion in damages. Backdoor deals allegedly inflated TerraUSD’s value, leading to collapse. Jump Trading defends itsel

Terraform Labs Seeks $4 Billion in Damages from Jump Trading Over Collapse

  • Terraform Labs sues Jump Trading for $4 billion in damages.
  • Backdoor deals allegedly inflated TerraUSD’s value, leading to collapse.
  • Jump Trading defends itself against claims of illegal crypto profiteering.

The administrator overseeing Terraform Labs’ liquidation has filed a lawsuit against Jump Trading, its co-founder William DiSomma, and former president Kanav Kariya, seeking $4 billion in damages. The suit claims that Jump, alongside its executives, is liable for Terraform Labs’ catastrophic downfall in 2022, which caused a market crash and financial instability throughout the cryptocurrency ecosystem. The suit comes after Terraform Labs, led by founder Do Kwon, collapsed when its algorithmic stablecoin, TerraUSD, lost its dollar peg. This triggered a domino effect, wiping out over $40 billion in value and contributing to the bankruptcy of major crypto lenders.


Also Read: Analyst: DTCC-Canton Network Tokenization Partnership Does Not Affect Ripple (XRP), Here’s Why


Alleged Backdoor Deals and Secret Agreements

According to the Wall Street Journal, the court-appointed administrator, Todd Snyder, accuses Jump of exploiting Terraform Labs’ ecosystem by entering into secret agreements that inflated the value of TerraUSD. These backdoor deals allegedly helped Terraform Labs mislead investors and artificially boost the stablecoin’s credibility, thus exacerbating the crash. Snyder claims that Jump Trading profited massively from the arrangement, resulting in billions of dollars in unjust gains.


The Securities and Exchange Commission (SEC) had previously uncovered the extent of the alleged deal, which saw Jump’s crypto unit, Tai Mo Shan, purchase $20 million worth of TerraUSD in May 2021. In return, Tai Mo Shan received early access to Luna tokens, which were later sold at market value. This transaction, according to the SEC, led to $1.28 billion in profits for Jump Trading and was part of a broader scheme to mislead investors about the stability of the TerraUSD mechanism.


While the SEC fined Tai Mo Shan $123 million, the lawsuit filed by Snyder is much more significant, aiming to hold Jump Trading accountable for its role in what has been described as the largest collapse in cryptocurrency history. Terraform Labs, in its bankruptcy proceedings, has already agreed to pay a massive $4.47 billion in penalties to the SEC.


However, a spokesperson for Jump Trading has dismissed the lawsuit, calling it a “desperate attempt” to shift responsibility from Terraform Labs and Do Kwon. The company has vowed to defend itself vigorously against the claims.


Efforts to Recover Assets and Hold Accountability

Despite the legal battle, progress has been made in recovering assets for creditor compensation. So far, approximately $300 million has been recovered, a small fraction of the billions of dollars lost due to the collapse. The ongoing litigation is expected to have significant implications for the future of cryptocurrency regulations and corporate accountability in the industry.


Also Read: Massive Gains in Crypto: Bitcoin, Ethereum, and Fasttoken Lead the Charge


The post Terraform Labs Seeks $4 Billion in Damages from Jump Trading Over Collapse appeared first on 36Crypto.

Market Opportunity
4 Logo
4 Price(4)
$0.01738
$0.01738$0.01738
-1.75%
USD
4 (4) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Building a DEXScreener Clone: A Step-by-Step Guide

Building a DEXScreener Clone: A Step-by-Step Guide

DEX Screener is used by crypto traders who need access to on-chain data like trading volumes, liquidity, and token prices. This information allows them to analyze trends, monitor new listings, and make informed investment decisions. In this tutorial, I will build a DEXScreener clone from scratch, covering everything from the initial design to a functional app. We will use Streamlit, a Python framework for building full-stack apps.
Share
Hackernoon2025/09/18 15:05
Which DOGE? Musk's Cryptic Post Explodes Confusion

Which DOGE? Musk's Cryptic Post Explodes Confusion

A viral chart documenting a sharp decline in U.S. federal employment during President Trump's second term has sparked unexpected confusion in cryptocurrency markets
Share
Coinstats2025/12/20 01:13
Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00