METHODS OF FORECASTING EXCHANGE RATES IN DIGITAL ASSET TRADING
Abstract
In digital asset trading, there are different ways of forecasting exchange rates, among which fundamental, quantitative and sentimental analysis occupy the main place. Fundamental analysis predicts exchange rate fluctuations by studying economic, political and financial factors. Quantitative analysis, on the other hand, focuses on predicting based on past data using mathematical models and artificial intelligence algorithms. Sentimental analysis, on the other hand, allows you to predict the future actions of investors by analyzing the mood of market participants. The combination of these methods serves to more accurately predict the movements of exchange rates.
Keywords
digital assets, exchange rates, fundamental analysis, quantitative analysis, sentimental analysis, market forecast, economic indicators, artificial intelligence, investment strategies.How to Cite
References
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3.Froot, Kenneth, and Takatoshi Ito, “On the Consistency of Short-run and Long-run Exchange Rate Expectations,” NBER Working Paper No. 2577, (May 1988). Forthcoming, Journal of International Money and Finance.
4.Rutledge, David, “Trading Volume and Price Variability: New Evidence on the Price Effects of Speculation,” in Futures Markets: Their Establishment and Performance, ed. by B.A. Goss, (New York: New York University Press, 1986).

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