Evai Insights

The cryptocurrency market has turned into one of the most lucrative investment spaces in modern times. Deciding between thousands of assets on the market, however, can be a precarious and time-consuming endeavor. The task is made even more complicated, given that out of nearly 6000 projects on the market, only 13% have a live use case. And then there’s the issue of bias. Not just from project tokens but fellow investors and even supposedly impartial cryptocurrency ranking sites. All too often, the crypto market is beset by stories of project scams, faked exchange volumes, and unscrupulous brokers, making it incredibly

To achieve its goal of financial disruption, DeFi requires a decentralized rating protocol. Evai.io aims to provide such a system. Decentralized finance (DeFi) is now considered blockchain’s killer app—responsible for unleashing billions in dormant potential. But as with any investment boom, the sector has its winners and losers. Without an unbiased, fit for purpose rating system embodying the decentralized nature of the sector it’s assessing, DeFi is doomed to fall for the same trappings as financial divisions before it. DeFi is the crypto industry’s answer to the borrowing, lending, and other such interest-bearing practices of traditional finance. But unlike more

Coronavirus lockdowns caused economic convulsions earlier this year—and crypto wasn’t immune. Experts discuss how Bitcoin would fare in a second wave. In brief Outbreaks of coronavirus continue to cause localized lockdowns around the world. Experts believe that a second peak of COVID-19 cases could prompt further quantitative easing and degenerate the dollar further. Some see cryptocurrencies as a means of diversifying risk in a high-risk environment. Several months into the ongoing coronavirus pandemic, its impact on the global economy has been monumental, pushing both the US and the UK into recession (the latter, for the first time in 11 years).

In the current era of the financial industry, cryptocurrencies have become a household name for investors and traders. Over the past decade, we have seen Bitcoin laying out the path for the rest of the industry, which has led to the current influx of crypto projects coming into existence. The idea of investing in digital assets has spread like wildfire and it is no longer easy to sort out the good projects from a batch of bad apples. According to CoinMarketCap, there are 5862 cryptos at the moment, and surely not each and every one of them is a credible

MicroStrategy, the largest publicly-traded business intelligence firm in the world recently announced a $250 million investment in bitcoin. The motive behind MicroStrategy’s unconventional move is the belief that bitcoin acts as one of the best hedges against looming inflation and monetary devaluation. But more than just a short-term bet, the firm submits that with technological advancements, expanding adoption, and the network effect, bitcoin could spearhead financial disruption.

Cognitive bias is a trader’s worst enemy. Fortunately, there may be a way to harness AI and machine learning and lessen the impact of psychological pitfalls. Behavioral biases arising in times of crisis can lead to poor trading performance. However, studies suggest that machine learning and AI can avoid impulsive decision making. A critical facet of successful trading lies in the ability to differentiate between poor and lucrative investments. To do so, traders track a combination of essential fundamentals. These involve evaluating qualitative and quantitative data about a specific company or asset. Where qualitative information—such as company management or competitive