Ethereum’s ETH2.0 upgrade enhances scalability, energy efficiency, and security. It strengthens Ethereum’s position as a smart contract leader, but competition from faster chains remains a challenge.
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Deep learning uses historical prices, volume, order books, social sentiment, and macro indicators to forecast trends. Quality data and feature engineering are crucial. While promising, models must handle crypto’s volatility and noise carefully.
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When assessing a project’s whitepaper, focus on the clarity and detail of its technical and business model. Does it explain the problem the project is solving and how the solution is unique or innovative? A feasible whitepaper will outline a realistic roadmap, clear tokenomics, and a well-structured governance model. Pay attention to the team's qualifications and whether they’ve demonstrated the ability to execute on their vision. Additionally, consider the project's scalability and its ability to adapt to market changes. If the whitepaper leaves you with more questions than answers, it might be a red flag.
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