ED Raids Multiple Locations in India Over Fake Crypto Investment Firm

TheNewsCryptoPubblicato 2025-12-31Pubblicato ultima volta 2025-12-31

Introduzione

The Enforcement Directorate (ED) in India has conducted raids at 9 locations across Chandigarh and Haryana, including Kurukshetra, Ambala, and Karnal, targeting a fake crypto investment scheme known as Crypto World Trading Company. The operation, under the Prevention of Money Laundering Act (PMLA), was initiated based on an FIR filed by Haryana police. The company is accused of defrauding numerous investors, primarily from northern Haryana, by luring them to invest multiples of ₹8,000. Authorities have seized digital evidence, documents, ₹4 lakh in cash, and frozen 18 bank accounts holding approximately ₹22.38 lakh. Additionally, immovable properties worth nearly ₹3 crore, believed to be purchased with illicit funds, have been seized. The accused, including individuals named Vikas Kalra and others, allegedly layered the money through family and associate accounts before investing in crypto on Binance and acquiring assets. This incident highlights the risks in the volatile crypto market, underscoring the need for thorough research before investing.

The Directorate of Enforcement (ED) raided multiple locations in Chandigarh and Haryana, India, over their association with Crypto World Trading Company. Designed as a fake crypto investment firm, it is believed to have duped many investors hailing mostly from the north Haryana region. Investigation by the ED is underway, but details to this point are chilling.

ED Raids Locations in Haryana and Chandigarh

A total of 9 locations were raided by the ED across Haryana and Chandigarh, under the provisions of the Prevention of Money Laundering Act (PMLA), 2002. Search operations were specifically conducted across Kurukshetra, Ambala, Chandigarh, and Karnal, after the fake crypto investment firm’s association with cheating investors for crores of Rupees came to light.

Authorities have so far seized multiple digital evidence and incriminating documents. Officials have also frozen 18 bank accounts, which are believed to have proceeds worth approximately ₹22.38 lakh. Furthermore, the ED has seized ₹4 lakh in cash and almost ₹3 crore worth of immovable properties.

Reports underline that the amount was taken from victims in cash, who were later asked to invest in multiples of ₹8,000.

Grounds for ED Raids

The ED acted on the FIR registered by the Haryana police. The FIR mentioned Vikas Kalra, Tarun Maneja, Kapil Kumar, and Pawan Kumar, along with their way of luring investors to invest in Crypto World Trading Company. A lot of investors fell for the pitch and ended up transferring money to their crypto wallets on Binance.

Money received was then layered into the bank accounts of their family members, plus associates. Accused in the case, according to the report, utilized these funds to buy immovable properties in the name of their family members.

Volatility in the Crypto Market

Raids by the ED come at a time when the crypto market is going through medium to high volatility. Top tokens like BTC and ETH are attempting to recover the respective key milestones of $90k and $3k. The global crypto market is below the $3 trillion mark, with the Altcoin Index and the FGI noting 20 and 32 points in their ratings, applicable in the same order.

The Crypto World Trading Company incident may slow down the anticipated growth of the crypto market in 2026. It is recommended to invest in crypto only after thorough research and risk assessment.

Highlighted Crypto News Today:

Tether and Circle Mint USDC and USDT, What’s Cooking?

TagsCryptoIndia

Domande pertinenti

QWhat is the name of the fake crypto investment firm involved in the ED raids in India?

ACrypto World Trading Company.

QWhich Indian states and union territory did the ED conduct raids in?

AHaryana and the union territory of Chandigarh.

QWhat was the total value of the immovable properties seized by the ED in this case?

AApproximately ₹3 crore.

QOn whose FIR (First Information Report) did the Enforcement Directorate base its action?

AThe FIR registered by the Haryana police.

QAccording to the article, on which cryptocurrency exchange did investors transfer money to the accused's wallets?

ABinance.

Letture associate

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.

marsbit3 min fa

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

marsbit3 min fa

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.

marsbit7 min fa

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

marsbit7 min fa

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.

marsbit7 min fa

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

marsbit7 min fa

Trading

Spot
活动图片