This was the second week of our case study that will evaluate the application of machine learning for portfolio management. The methodology for this study was first outlined in our previous article.
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This week kicked off the start of our case study that will evaluate the application of machine learning for portfolio management. The methodology for this study was first outlined in our previous article.
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The foundation for any portfolio is deciding which assets should be purchased for your portfolio. Above all else, the selection of assets is the largest determining factor for how well a portfolio will perform over the long-term. Although there are strategies that can help reduce risk and boost performance, the assets we select for our portfolio will take priority.
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Suddenly, cryptocurrency + blockchain had a real raison d'etre that everyone could rally around. Ironically enough, as decentralized money, Bitcoin has always been about DeFi — but now, we have a very catchy name for that application.
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For years, we were told the same thing — just wait until the herd arrives. Billionaire Mike Novogratz famously told a crowd that the herd was indeed on its way to crypto.
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In this article, we’ll take a closer look at some of the most high-profile hacks and exchange thefts in the history of cryptocurrency. We’ll examine in detail how each heist happened, what action(s) the affected parties took and the aftermath of the heist.
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Over the last 8 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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We will be focusing on a single primary strategy; rebalancing. Rebalancing has been used by institutions for decades and has stood the test of time. Although it appears simple on the surface, rebalancing has complexities that present unique opportunities.
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Over the last 7 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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Bitcoin's price has skyrocketed in the past few months, hitting $19K and inching closer to breaching its 2017 all-time high. While this recent uptick is good news for most crypto investors, surely you've paused to consider the safety of your crypto holdings at some point.
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The debate about whether decentralized exchanges are better than centralized exchanges has been raging in the crypto world for years now.
In theory and in spirit, most cryptocurrency users probably side with decentralized exchanges considering that cryptocurrency is, well, decentralized.
So, which is better in the Coinbase versus Uniswap exchange matchup? Let's take a look at each exchange's offerings, along with a couple interesting asides for your education.
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Just as Bitcoin was guiding cryptocurrency markets skyward with a renewed push for an all-time high valuation, prices came crashing down without warning.
Wait — was there a warning?
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Over the last 7 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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Over the last 6 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Nomics Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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Over the last 6 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Nomics Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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Vitalik Buterin, Ethereum's famous founder and chief scientist, made tsunami waves after unexpectedly releasing the Ethereum 2.0 staking deposit contract just last week.
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Over the last 6 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Nomics Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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Over the last 6 months, our team has been tracking the performance of 4 different portfolio strategies. These include portfolios selected using Nomics Machine Learning, CoinGecko, market-cap indexing, and a simple Bitcoin HODL.
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