JPMorgan Hit With Lawsuit Tied To $328 Million Crypto Ponzi Scheme

bitcoinistОпубліковано о 2026-03-13Востаннє оновлено о 2026-03-13

Анотація

In a proposed class action lawsuit, JPMorgan Chase is accused of enabling a $328 million crypto Ponzi scheme operated by Florida-based Goliath Ventures. The suit alleges the bank ignored red flags and allowed the firm to use its banking infrastructure to process around $250 million, despite Know Your Customer obligations. One plaintiff claims he lost $650,000, including retirement savings. Goliath’s CEO, Christopher Delgado, has been arrested on fraud and money laundering charges. A separate federal case also names Bank of America for its role. The lawsuit argues JPMorgan should have detected and stopped the fraudulent activity.

One of the first named plaintiffs in a new lawsuit against JPMorgan Chase says he lost $650,000 — including retirement savings — to an alleged $328 million crypto Ponzi scheme the bank helped keep running.

Robby Alan Steele is among more than 2,000 investors who say they were defrauded by Goliath Ventures, a Florida-based crypto investment firm that prosecutors say collected hundreds of millions of dollars under false pretenses.

JPMorgan Named As Sole Financial Institution For Goliath

A proposed class action filed Tuesday in the US District Court for the Northern District of California accuses JPMorgan of letting Goliath use its banking infrastructure to pull in investor funds while ignoring warning signs that something was wrong.

Source: Law.com

According to the complaint, JPMorgan was the only bank holding Goliath’s accounts from January 2023 through mid-2025 — the bulk of the scheme’s run.

During that stretch, roughly $250 million passed through a single JPMorgan account linked to Goliath. About $123 million of that was sent to Goliath’s wallets held at Coinbase.

Investors Accuse JPMorgan Chase of Aiding $328M Ponzi Scheme https://t.co/vGgkEt5Yu9

— The Recorder (@RecorderTweets) March 11, 2026

Attorneys say the sheer volume moving through one account should have triggered scrutiny under federal banking rules that require institutions to know who their customers are and what those customers do with their money.

“Chase, by virtue of its Know Your Customer obligations, actually knew that Goliath was acting as a private equity cryptocurrency pool operator investing money for investors, without being licensed at all to sell these investments,” the complaint states.

BTCUSD now trading at $70,261. Chart: TradingView

Goliath, originally called Gen-Z Venture Firm, operated from January 2023 until January 2026, based on court documents. CEO Christopher Delgado was arrested on Feb. 24 by the US Attorney’s Office for the Middle District of Florida.

He faces wire fraud and money laundering charges. If convicted on all counts, he could spend up to 30 years in federal prison.

Bank Of America Also Appears In Federal Case

A separate federal criminal complaint names Bank of America as well. Prosecutors say Delgado was a co-signatory on a BOA business account used by Goliath, with at least one investor directed to that account by company representatives.

Investor funds, based on the government’s account, were routed through the JPMorgan account, the BOA account, or sent straight to Goliath’s Coinbase wallets — all controlled by Delgado.

The civil lawsuit was filed by attorneys from Shaw Lewenz, Sonn Law Group, and Schwartzbaum. Lead attorney Jordan Shaw said more complaints are coming as the team continues to identify people believed to be involved in the scheme.

Featured image from Unsplash, chart from TradingView

Трендові криптовалюти

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

Пов'язані питання

QWhat is the main allegation against JPMorgan Chase in the lawsuit?

AThe lawsuit alleges that JPMorgan Chase allowed Goliath Ventures to use its banking infrastructure to collect investor funds while ignoring red flags that it was a Ponzi scheme, violating its Know Your Customer obligations.

QHow much money did the lead plaintiff, Robby Alan Steele, allegedly lose in the scheme?

ARobby Alan Steele allegedly lost $650,000, which included his retirement savings.

QWhat was the total amount of the alleged Ponzi scheme and how much passed through a single JPMorgan account?

AThe alleged Ponzi scheme totaled $328 million. Approximately $250 million passed through a single JPMorgan account linked to Goliath.

QWhat charges does Goliath Ventures CEO Christopher Delgado face?

AChristopher Delgado faces charges of wire fraud and money laundering. If convicted on all counts, he could face up to 30 years in federal prison.

QBesides JPMorgan, which other major bank is named in the federal case related to this scheme?

ABank of America is also named in a separate federal criminal complaint, as Delgado was a co-signatory on a BOA business account used by Goliath.

Пов'язані матеріали

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

Anthropomorphic "Teletubby" robot offers cleaning services in San Francisco at $30/hour, but it's entirely remote-controlled. The robot, created by startup Tau Robotics, can perform household tasks like washing hands, mopping floors, and taking out trash. While the initial demo videos appear impressive and are notably shown at normal speed (unlike many sped-up robot demos), the company reveals the actions are performed via human teleoperation, not autonomous AI. Tau Robotics, founded in 2024, argues this "cheat" is a strategic way to bridge the current capability gap, ensure task completion, and collect real-world home data to eventually train autonomous systems. Their service features three robot models: Chelsea for kitchens/bathrooms, Elon for regular tidying with memory, and Tony for deep cleaning. Priced at $30 per hour, it's cheaper than average human cleaners in the US. The article discusses the broader challenge of deploying humanoid robots in homes, comparing Tau's approach to others like China's Ziliang and the US's 1X Neo, which also use teleoperation. A key reason for choosing a humanoid form is to make remote control more intuitive for human operators. The piece also notes the potential "emotional value" of having a humanoid servant. The service is currently invite-only in San Francisco.

marsbit7 хв тому

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

marsbit7 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit50 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit50 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit55 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit55 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit55 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit55 хв тому

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

cointelegraph1 год тому

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

cointelegraph1 год тому

Торгівля

Спот

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни ONE (ONE).

JPMorgan Hit With Lawsuit Tied To $328 Million Crypto Ponzi Scheme

Анотація

JPMorgan Named As Sole Financial Institution For Goliath

Bank Of America Also Appears In Federal Case

Трендові криптовалюти

Пов'язані питання

Пов'язані матеріали

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

Торгівля

Популярні статті

Як купити ONE

Обговорення