Information Dwelling

Wednesday, February 01, 2023 07:41 AM | InvestorsObserver Analysts

Big Data Protocol (BDP) Do the Risks Outweigh the Rewards Wednesday?

Big Data Protocol receives a mean threat ranking from InvestorsObserver evaluation. The proprietary scoring system analyzes how a lot cash was required to maneuver the worth over the previous 24 hours. The metric seems at latest adjustments in quantity and market cap to guage how a lot a token will be manipulated by restricted buying and selling. The rating ranges from 0 to 100, with low scores representing excessive threat and excessive values equating to low threat.

Risk/Reward Score - Medium InvestorsObserver is giving Big Data Protocol a medium Danger/Reward Rating. Discover out what this implies to you and get the remainder of the rankings on Big Data Protocol!

Buying and selling Evaluation

The danger gauge rank for BDP exhibits the token is at present a reasonable threat funding. Merchants centered on threat evaluation will discover the gauge most helpful for avoiding (or including) dangerous investments. BDP has traded 33.54% decrease over the previous 24 hours to its present worth of $0.035046735. This shift has occurred whereas quantity is beneath its common stage and the token’s market capitalization has risen. The cryptocurrency now has a market capitalization of $1,724,679.82 whereas $1,353,574.32 price of the token has traded over the final 24 hours. The worth change in relation to the diploma of quantity and market cap adjustments offers Big Data Protocol a mean threat ranking.

Abstract

Latest worth motion of BDP offers the cryptocurrency a mean threat rating as a consequence of previous 24 hours of worth volatility in relation to quantity adjustments, giving merchants cause to be not overly involved on the token’s manipulability at the second. Click on Right here to get the full Report on Big Data Protocol (BDP).

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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.

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