On-chain analizi kullanarak blokzincir tabanlı projeleri inceleme ve analiz etme

The fast pace of creating new cryptocurrencies makes it hard or even impossible to know which one of them best suits an investor's needs. Increasingly, investors are starting to need a decision support system with which they can determine which cryptocurrencies are suitable for investment and which ones are not. In this research, an investment decision support system was developed. The system allows investors to understand what they need and offers them cryptocurrencies that suit their preferences. On-chain parameters instead of off-chain ones were used for efficiency where we defined and determined the most important on-chain features. In the developed system, a set of on-chain features is asked of investors, and individual weights are calculated for the selected features using the Analytic Hierarchy Process (AHP) algorithm. Using the calculated weights and the investor's preferences, the system gives different recommendations for each investor. Based on the answers of our focus group of cryptocurrency experts and investors, the most important on-chain features to be considered for investment were concluded. Historical cryptocurrencies data were analyzed in this study. It was found that about 39 percent of the cryptocurrencies disappeared from the market, and only about 10 percent existed for more than 1000 days. The correlation between some of the parameters and the price was studied. It was found that a strong negative Spearman correlation exists with the maximum supply and total supply, and a medium positive Spearman correlation with volume over 24 hours exists too. Finally, attempts to classify investment-risky cryptocurrencies were done.