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EU’s new ‘DORA’ rules come into effect: What does it mean for crypto?

Europe’s Digital Operational Resilience Act now applies to crypto businesses, expanding MiCA’s scope and requiring firms to enhance cybersecurity and risk management.

Cryptocurrency businesses in the European Union are subject to new cybersecurity regulations as the Digital Operational Resilience Act (DORA) takes effect on Jan. 17.

DORA impacts cybersecurity and resilience practices by virtual asset service providers (VASP) in the region.

To comply with DORA, financial entities in the EU are required to have a comprehensive register of their contractual arrangements with third-party IT service providers to ensure safe infrastructure and risk management.

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Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

Bitcoin Emerges as a ‘Unique Diversifier,’ Says Blackrock’s Latest Report

Bitcoin Emerges as a ‘Unique Diversifier,’ Says Blackrock’s Latest ReportIn a recent report, Blackrock, the largest digital asset manager, explores bitcoin’s role as a unique investment diversifier, highlighting its distinct risk and return factors compared to traditional assets. The financial institution’s report also discusses bitcoin’s growing appeal among institutional investors. Blackrock Report Sees Bitcoin as a Key Asset for Long-Term Portfolio Diversification Blackrock, the […]

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

Onedegree, Dubai Insurance Launch Digital Asset Custodial Insurance for UAE Clients

Onedegree, Dubai Insurance Launch Digital Asset Custodial Insurance for UAE ClientsOnedegree, an Asian digital assets insurer, and its UAE partner, Dubai Insurance, have started offering digital asset custodial risk insurance to clients in the UAE. This new product, approved by the Central Bank of UAE, expands both companies’ product portfolio and offers a comprehensive solution to UAE digital asset companies. The launch of this insurance […]

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

Moody’s, Elliptic join forces for enhanced VASP risk screening

The companies will combine their strengths to provide enhanced virtual asset service providers screening ability.

The Moody’s financial research and ratings firm has teamed up with blockchain analytics and compliance specialists Elliptic to provide more insightful screening of virtual asset service providers (VASPs). According to the companies, the collaboration will leverage offchain and onchain data in a single interface. 

The new service will take input such as digital asset transaction histories, financial records and regulatory databases to create a “comprehensive overview” of VASPs.

Elliptic has profiles of over 1,000 VASPs and uses real-time onchain data and proprietary technology to screen digital asset transactions for exposure to illicit activities. Moody’s offchain data includes over 21 million risk profiles, 489 million entities and 51,000 sanctioned entities, it claims. It uses the data to produce Anti-Money Laundering (AML) and Know Your Customer solutions for its clients.

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Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

Chaos Labs Secures $55M Series A Funding to Bolster Defi Risk Management Solutions

Chaos Labs Secures M Series A Funding to Bolster Defi Risk Management SolutionsChaos Labs has raised $55 million in a Series A funding round, led by Haun Ventures, to advance its onchain risk management platform for decentralized finance (defi). The company plans to use the funds to further enhance its technology, which automates real-time protocol parameter recommendations to improve the security and efficiency of defi protocols. Chaos […]

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

New AI portfolio management tool coming to PancakeSwap

CupcakeHop by Bril Finance integrates AI for optimized DeFi investment strategies and real-time risk management on PancakeSwap.

Decentralized crypto exchange PancakeSwap is set to introduce CupcakeHop, an artificial intelligence (AI)-powered portfolio management tool.

Developed by Bril Finance and backed by PancakeSwap, the tool is designed to improve decentralized finance (DeFi) investment management.

CupcakeHop, set to launch in August, aims to make DeFi accessible to a broader range of users with tailored investment strategies and real-time risk management. 

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Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

Bank of Canada Governor Warns of ‘Sharp Correction’ Risks in Markets and ‘System-Wide Stress’

Bank of Canada Governor Warns of ‘Sharp Correction’ Risks in Markets and ‘System-Wide Stress’In his speech on the release of the Financial Stability Report, Tiff Macklem, Governor of the Bank of Canada, sought to emphasize the purported strength of Canada’s financial system while cautioning against ongoing risks that could precipitate a “sharp correction” in markets, potentially leading to widespread financial strain. “Some indicators of financial stress have risen,” […]

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

The Alameda gap and crypto liquidity crisis explained

The November 2022 Alameda gap exposed vulnerabilities in the crypto market, shedding light on FTX and Alameda Research’s fraud.

FTX collapse: Unraveling the cryptocurrency crisis of November 2022

In November 2022, the cryptocurrency world was rocked by the collapse of FTX, one of the largest cryptocurrency exchanges. The collapse was triggered by a liquidity crisis at FTX, which was caused by a combination of factors, including mismanagement of customer funds and risky trading practices by FTX’s sister company, Alameda Research.

The collapse of FTX had a ripple effect across the crypto market, causing a sharp decline in cryptocurrency prices, a drain of liquidity and a loss of confidence in the crypto industry. It also raised serious questions about the safety and security of customer funds on cryptocurrency exchanges. The crypto industry’s lack of risk management standards was exposed through the crisis. 

FTX has filed for bankruptcy, revealing a debt of over $3 billion to its creditors. Additionally, the exchange is unable to locate approximately $8.9 billion worth of customer assets. The exact amount of money lost by customers is difficult to determine, as some customers may have been able to withdraw their funds before the exchange suspended withdrawals. However, it is estimated that customers lost billions of dollars in the FTX crash.

The collapse of FTX caused a sharp decline in cryptocurrency prices. The total market capitalization of the crypto market fell from over $1 trillion in November 2022 to under $800 billion in December 2022. This represents a market collapse of over $200 billion in dollar terms.

Sam Bankman-Fried’s strategic path

SBF saw an opportunity to create wealth at an unparalleled pace by combining the ICO method of token creation and subsequent leveraging.

SBF saw an opportunity to profit by creating a new cryptocurrency exchange that would exploit the shortcomings of existing exchanges. Bankman-Fried began by setting up a quantitative trading firm called Alameda Research. 

Alameda Research used sophisticated algorithms to trade cryptocurrencies on a variety of exchanges. Alameda Research was very successful, and it quickly became one of the largest cryptocurrency traders in the world.

In 2019, Bankman-Fried launched FTX, a cryptocurrency exchange designed to be more user-friendly and efficient than existing exchanges. FTX also offered a number of features that were not available on other exchanges, such as margin trading and derivatives trading. However, none of the regulatory controls typically needed by mainstream financial services trading platforms were addressed.

Relationship between FTX and Alameda Research

FTX and Alameda Research were closely linked. Bankman-Fried and Caroline Ellison were the CEOs of FTX and Alameda Research respectively. However, Bankman-Fried controlled a majority of the shares in both companies. Alameda Research also used FTX as its primary exchange.

The close relationship between FTX and Alameda Research allowed Bankman-Fried to engage in a variety of fraudulent activities, including:

  • Misappropriating customer funds: Bankman-Fried transferred customer funds from FTX to Alameda Research without the customer’s consent. He used these funds to cover Alameda Research’s losses and to fund his own lavish lifestyle.
  • Manipulating the cryptocurrency market: Alameda Research used its large trading volume to manipulate the prices of cryptocurrencies on FTX. This allowed Bankman-Fried to profit from insider trading.
  • Offering fraudulent financial products: FTX, under Bankman-Fried’s leadership, offered unregulated financial products like margin and derivatives trading. This lack of oversight allowed him to defraud customers by selling these products without disclosing the associated risks.

FTX scam and Alameda gap unveiled

The scam began to unravel in November 2022 when it was revealed that Alameda Research held a large position in FTT, the native token of FTX. 

The report sparked a sell-off of FTX Token (FTT), which caused the token’s price to plummet. It also raised concerns about the financial health of Alameda Research and FTX. This led to a liquidity crisis at FTX, as customers rushed to withdraw their funds from the exchange. 

FTX was unable to meet the withdrawal demands, and it was forced to suspend withdrawals. FTX also filed for bankruptcy on Nov. 11, 2022. The collapse of FTX had a devastating impact on the crypto market. 

In November, a significant decrease in liquidity within the crypto market was coined as the “Alameda gap” by blockchain data firm Kaiko. This term emerged due to the notable role played by Alameda Research, the largest market maker during that period. 

The Alameda Gap represented a substantial decline in available liquidity, impacting trading volumes and market stability. This phenomenon underscored the influence of major market participants and highlighted the intricate dynamics that govern cryptocurrency markets. 

While the FTX episode may have been the last domino to fall in a series of bankruptcies that were filed during 2022, it was easily the biggest event of the year, and it put the industry under a legal and regulatory microscope.

The Bankman-Fried trial

SBF was arrested in the Bahamas on Dec. 12, 2022, after United States prosecutors filed criminal charges against him. He was extradited to the U.S. in January 2023 and went on trial in October 2023.

The arrest and trial of SBF was a major development in the crypto industry. It was the first time that a major crypto founder had been arrested and tried on criminal charges. Bankman-Fried was charged with seven counts of fraud and conspiracy. 

The key witnesses for the prosecution were:

  • Caroline Ellison, Bankman-Fried’s ex-girlfriend and the former CEO of Alameda Research
  • Nishad Singh, former FTX engineering director
  • Gary Wang, co-founder of FTX

Ellison, Singh and Wang all pleaded guilty to multiple charges and cooperated with the prosecution. They testified that Bankman-Fried knowingly misled investors and customers about the financial health of FTX and Alameda Research. They also testified that Bankman-Fried used FTX customer funds to cover losses at Alameda Research and to fund his own lavish lifestyle.

Bankman-Fried was found guilty of all seven charges on Nov. 2, 2023. He faces a maximum of 115 years in prison. Bankman-Fried denied all of the charges against him. He said that he made mistakes but that he did not commit any crimes.

The seven charges against Sam Bankman-Fried

Post-FTX reforms in the cryptocurrency industry

There is often a silver lining with black swan events. A black swan event is one that is impossible to predict and has severe consequences. In the wake of the FTX and Alameda Research scam, several things have gained momentum, and the industry has focused on getting itself regulated. Across the world, regulators and crypto firms have worked collaboratively and consciously to protect investors.

The following are some notable developments in the crypto industry post the FTX crisis:

  • Increased regulation: Governments worldwide have started to develop and implement comprehensive regulations for the crypto industry. These regulations would focus on protecting investors and preventing fraud.
  • Transparency: Cryptocurrency exchanges have come forward and offered transparency around their operations and financial condition through proper documentation and risk management practices. This helps investors make informed decisions about where to invest their money.
  • Audits: Cryptocurrency exchanges are being regularly audited by independent auditors. This helps to ensure that the exchanges are operating honestly and that customer funds are safe.

Investors also need to be vigilant and do their own research before participating in any cryptocurrency exchange-related activities. Investors should look for exchanges that are regulated, transparent and have a good reputation.

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

US Fed steps up oversight of banks’ involvement with crypto firms

The limitations set out in the Federal Reserve’s new Program provides additional measures to its original policy statement laid out in January.

The United States Federal Reserve is broadening the scope of its supervision program which oversees U.S. banks that engage with the cryptocurrency and blockchain industry.

An Aug. 8 announcement by the Federal Reserve Board established the Novel Activities Supervision Program which aims to limit certain crypto-related activities and facilitate a more fair playing field for banks involved with servicing the digital asset industry.

The program is an additional measure to the Board’s Jan. 27 policy statement that aims to ensure all Fed-supervised banks are subject to the same crypto-related limitations.

Activities regulated under the program include the custody, lending, trading, issuance or distribution of crypto including stablecoins.

Providing banking infrastructure to digital asset firms or working with companies that use distributed ledger technologies is also regulated, according to a letter from the Board.

The Fed said the objective of the novel activities program is to balance financial innovation with appropriate risk management practices to ensure the safety and soundness of the banking system.

Related: FedNow Service has no relation with CBDCs, Federal Reserve clarifies

Registered banks involved in the “risk-based” program may be subject to examination by the Fed Board which will evaluate whether the novel activities are in compliance with its policies and U.S. law.

The policies apply to both insured and uninsured U.S. banks supervised by the Board.

While the program looks to provide stricter oversight on U.S. banks, the Federal Reserve implied that it isn’t discouraging state banks from cutting ties with industry, presumably including the digital asset firm sector.

Magazine: Unstablecoins: Depegging, bank runs and other risks loom

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin

9 examples of artificial intelligence in finance

Discover how artificial intelligence is transforming the financial sector with nine examples of AI in finance.

Artificial Intelligence (AI) is transforming the financial sector, revolutionizing how banks, financial institutions and investors operate. Here are nine examples of AI in finance, and how they are changing the industry:

Fraud detection

AI algorithms can analyze transactions in real time, detect anomalies and patterns that may indicate fraudulent activities, and alert banks to take appropriate actions. An example of fraud detection using AI is PayPal’s fraud detection system. PayPal uses machine learning algorithms and rule-based systems to monitor real-time transactions, and identify potentially fraudulent activities.

The system examines data points like the user’s location, transaction history, and device information to identify abnormalities and patterns that can hint at fraudulent behavior. The technology can notify PayPal’s fraud investigation team about a possibly fraudulent transaction so that they can look into it further or block the transaction. The amount of fraudulent transactions on the network has dramatically decreased thanks to this AI-powered solution, making using PayPal safer and more secure.

Customer service

AI-powered chatbots can provide personalized financial advice, answer customer queries, and automate routine tasks like opening new accounts or updating customer information.

The chatbot “KAI” from Mastercard, which helps clients with account queries, transaction histories and expenditure tracking, is an example of how AI is being used in customer support. KAI uses machine learning algorithms and natural language processing to offer consumers tailored help and financial insights across a variety of channels, including SMS, WhatsApp, and Messenger.

Algorithmic trading

AI can accurately assess past and present market trends, spot patterns, and predict future prices. AI algorithms can also perform transactions in real time, using pre-programmed rules and conditions, optimizing investing strategies and maximizing returns.

Financial institutions and investors benefit significantly from this technology, which enables them to make data-driven decisions and maintain an advantage in the fiercely competitive world of trading.

Related: What are artificial intelligence (AI) crypto coins, and how do they work?

Risk management

By analyzing complex financial data, artificial intelligence can identify potential risks and forecast future scenarios, providing valuable insights that enable banks and other financial institutions to make well-informed decisions. 

An example of risk management using AI is BlackRock’s Aladdin platform. To analyze enormous volumes of financial data, spot risks and opportunities, and give investment managers real-time insights, the Aladdin platform combines AI and machine learning algorithms.

By examining elements like market volatility, credit risk, and liquidity risk, the platform assists investment managers in monitoring and managing risks. Investment managers may enhance their investment strategies and make data-driven decisions thanks to Aladdin’s risk management capabilities, which lower the risk of losses and boost returns.

Portfolio management

AI can analyze vast amounts of financial data and provide insights into investment trends, risks and opportunities, helping investors make informed decisions. An example of portfolio management using AI is Wealthfront, a robo-advisor that uses AI algorithms to manage investment portfolios for clients. 

To create customized investment portfolios for clients based on their goals, risk tolerance, and financial position, Wealthfront combines classic portfolio theory and AI. As market conditions and the client’s goals change, the platform automatically rebalances the portfolio while continuously monitoring its performance. Many investors find Wealthfront an appealing alternative because of its AI-powered portfolio management, which enables customized and optimal investing plans.

Credit scoring

AI algorithms can analyze credit histories, financial statements, and other data to provide accurate credit scores, enabling lenders to make better lending decisions. For instance, ZestFinance’s Zest Automated Machine Learning (ZAML) platform uses AI to analyze credit risk factors and provide more accurate credit scores, improving lending decisions and reducing the risk of default.

Personalized financial advice

AI-powered robo-advisors can provide personalized financial advice and investment strategies based on a client’s financial situation, goals and risk tolerance. For instance, Bank of America’s AI chatbot, Erica, can provide personalized financial advice, answer customer queries and automate routine tasks.

Insurance underwriting 

AI can analyze a range of data points, including demographic information, health records and driving history, to provide accurate insurance underwriting. For instance, to improve accuracy and lower fraud in the insurance market, Lemonade, an AI-powered insurtech company, employs AI algorithms to evaluate claims and underwrite insurance policies.

Related: A brief history of artificial intelligence

Regulatory compliance

AI can help financial institutions comply with complex regulations by analyzing transactions, detecting fraud, and ensuring compliance with Know Your Customer and Anti-Money Laundering regulations. 

For instance, ComplyAdvantage helps businesses comply with legal obligations and avoid fines by using AI and machine learning algorithms to monitor financial transactions and identify potential money laundering activities.

Crypto Analyst Says Top Ethereum Competitor To Plunge Lower Before Surging Higher, Updates Outlook on Bitcoin