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The crypto market is still under constant correction, fluctuating in a rising trend. The price of altcoins is still dominated by the trend of BTC. However, the market is not that peaceful recently. Due to the pressure of policy, thousands of miners choose to shut down their machines and moved their business overseas even though crypto mining has been dominant for years in the blockchain industry.
Meanwhile, the exchanges also ushered in a regulatory storm. Several well-known exchanges have been exposed to negative information one after another, and one top exchange even moved overseas. Both the mining and crypto markets are in panic, and the money keeps flowing out of the industry, which has made the current situation even worse.
Although the policies caused a significant influence on cryptos, there are many people who believe that the bull is still here. For long-term investors, this is a golden opportunity. Especially for those practitioners in the traditional financial industry who have only dared to look far and dare not set foot in it in the past year, it is a good opportunity to pick up cheap bargaining chips.
According to industry insiders, many traditional fund institutions are currently trying to invest in the blockchain field. Due to some factors, they will choose to allocate funds separately for operation, which is more secretive and flexible in form and method.
Ā In this process, quantitative trading has become a powerful tool for these traditional fund institutions to enter the crypto market. Anyone who knows a little about traditional finance knows that in traditional mature financial markets, fund investment institutions will more or less be equipped with their own quantitative trading systems, such as the famous Bridgewater Fund, Fidelity Fund, BlackRock Fund and Buffett Berkshire Hathaway and other institutions all have powerful quantitative trading systems. These quantitative trading systems are based on computer technology and artificial intelligence, which can make transactions accurate to the millisecond level, which can greatly compensate for the shortcomings caused by human transactions.
Even so, traditional financial institutions still inevitably encounter barriers in industry perception when they invest in the crypto field. In contrast, Vtrading, which focuses on AI quantitative services for digital assets, has more advantages.
First of all, it has been based in the field of blockchain since its born;
Secondly, most of its core personnel come from senior management in the traditional financial field, and they have been involved in investment in the crypto field in the early stage with rich experience;
Third, its products have been completely designed in accordance with the characteristics of the industry and the preferences of the users , which will bring a better experience in terms of usage habits.
Fourth, it is gaining recognition from more and more investors inside and outside the industry, and was recently reported by ChinaDaily in Hong Kong;
Fifth, its global operation strategy is steadily running, and it is capable to withstand the impact of industry rapid changes.
Therefore, for those traditional fund institutions that are holding large amount of money and are exploring better ways to enter this field, instead of spending a lot of time and energy studying the characteristics of the industry and losing the opportunity at the end, cooperating with quantitative institutions such as Vtrading that have been deeply rooted in this field would be a better choice.
Cooperating by means of funding and credit, firstly, it can reduce the risks caused by the lack of industry awareness; secondly, it can isolate policy risks; thirdly, it can also enjoy the benefits and the rights of investors.
Disclaimer
The views and opinions expressed in this article are solely those of the authors and do not reflect the views of Bitcoin Insider. Every investment and trading move involves risk - this is especially true for cryptocurrencies given their volatility. We strongly advise our readers to conduct their own research when making a decision.