Tag: crypto market

  • Bengaluru Engineer Arrested in INR 379 Cr CoinDCX Crypto Theft Scandal

    A software developer from Bengaluru has been taken into custody on suspicion of taking part in a huge cryptocurrency theft that targeted CoinDCX, a well-known Indian exchange, and cost INR 379 crore. Neblio Technologies, the parent firm of CoinDCX, submitted an official complaint, according to police, which prompted the breakthrough.

    On July 26, the Whitefield CEN Crime Police arrested Rahul Agarwal, 30, a native of Haridwar, Uttarakhand, who now resides in Carmelaram, Bengaluru.

    Investigators discovered that his workplace laptop’s private login credentials had been used during the security breach, leading to his detention.

    How the INR 379 Cr Theft Unfolded?

    It has been reported that the investigation started when Hardeep Singh, the vice-president for public policy at CoinDCX, went to the authorities to investigate suspicious activity on the site. An unnamed individual gained access to the CoinDCX system at 2:37 am on July 19 and transferred one USDT—a stablecoin based on the US dollar—to an external wallet.

    Company Probe Leads to Developer’s Laptop

    The break became more severe hours later. Approximately $44 million (approximately INR 379 crore) had been moved to six different cryptocurrency wallets by the time the activity was discovered.

    The corporation conducted an internal investigation as a result of this widespread syphoning. Rahul Agarwal’s official laptop was the sole device that seems to have been compromised, according to the company’s internal inquiry.

    Police confiscated the device and started interrogating Agarwal in light of this discovery. Agarwal admitted to “moonlighting,” or doing freelance work for several clients outside of his regular job, but denied any direct involvement in the theft.

    According to him, he was given assignments by three or four private clients, but he had no idea who they were or what kind of access they had.

    Upon closer examination of Agarwal’s actions, it was discovered that his bank account had an unidentified INR 15 lakh deposit. Agarwal allegedly told police that he had received a WhatsApp call from a German number when he was questioned.

    He did not specify how the files were used or who sent them, but the caller allegedly told him to fill out some of the files that were sent to him. The authorities have not ruled out the potential that Agarwal’s credentials could have been used remotely to carry out the intrusion, either through malware or by outside criminals abusing his freelance work.

    Police officials are still looking into the origin of the German connection, the INR 15 lakh bank deposit, and whether any other people or foreign connections were involved in the theft, even though Agarwal is still in custody.

    Authorities Investigate Deeper Network, Wallets, and Security Lapses

    Authorities are also investigating whether internal cybersecurity protocol flaws at CoinDCX had a role in the attack and how the hacker escalated access from a single USDT transaction to a comprehensive multi-crore steal. The identities of the six cryptocurrency wallets used in the crime are being investigated, and the Rs 379-crore stolen sum has not yet been located.

  • How is AI Used to Predict the Crypto Market in the Investment Industry?

    This article is to be attributed to Edul Patel, CEO of Mudrex, a Global Crypto Investment Platform.

    In recent times, cryptocurrencies have seen massive growth and adoption with regulatory developments and giant companies investing in it. With this, the global crypto market capitalization also reached the peak at $2.5 trillion and Bitcoin setting a record of all-time high at $74,000 level. Market such as cryptocurrency which is operational 24/7 needs investors and traders to be on their toes to not miss a potential opportunity. This is where market participants are turning towards predictive analytics powered by Artificial Intelligence (AI) for data-driven decision-making.

    How can AI be leveraged to Predict the Market?

    • Analyzing the Data: AI can analyze large amounts of data at a greater speed when compared to humans. By using Machine Learning (ML) models, AI can identify any patterns or correlations, or anomalies within the crypto market which cannot be done by a human analyst. To help investors and traders make well-informed decisions, these models analyze data across platforms such as social media, news, trading volumes, and blockchain transactions.
    • Sentiment Analysis: As the crypto market is operational around the clock, understanding the sentiments of the market participants is important. Any sort of sentiment, be it positive or negative can impact the market movements. AI-powered sentiment analysis can help investors and traders an immediate pulse of the market to adjust their strategies and feel more in control.
    • Predictive Analytics: Through AI algorithms, market participants can identify patterns or trends using historical data to forecast or predict future price movements. These models can add and analyze many variables including historical price data, trading volumes, market capitalization, and macroeconomic indicators to generate probabilistic forecasts. Additionally, with backtesting and optimization, AI models can also learn and adapt according to evolving market conditions. This helps in reassuring investors about the reliability and accuracy of predictions over time.
    • Algorithmic Trading: Algorithmic trading depends upon AI-driven formulas to perform trades based on established standards or guidelines. These formulas can determine successful chances in the crypto market by examining real-time market information as well as carrying out trades at a greater speed. These tools can assist in getting rid of human feelings as well as predispositions from the trading procedure to take advantage of market inefficiencies and also produce regular returns.

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    What are the Challenges?

    Even though AI holds great promise, it also comes with its own challenges and limitations. One of the major challenges is the need for more high-quality data since the crypto market is highly volatile and still in its early stages. Since the market is volatile it can be susceptible to sudden shifts and black swan events posing some set of challenges. Additionally, it is also important to address the ethical considerations as AI is increasingly integrated into investment strategies. The use of AI-powered algorithms raises concerns about manipulation, especially in areas where crypto is still not regulated.

    Final Thoughts

    AI is changing the way investors and traders predict and navigate the crypto market landscape. By leveraging AI-driven analytics, market participants can gain valuable insights, manage risks, and capitalize on lucrative opportunities in the dynamic crypto market. However, it is also important to understand the challenges and ethical considerations before using AI for trade or investment-related decisions. AI can definitely help in providing insights, however, it is always suggested to do your own research and get into the market.


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