Hippopotamus

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Bullfrog

1. What does AI in crypto compare to?
✅A digital crystal ball

2. What does AI analyze to predict crypto market trends?
✅Social media posts, trading volumes, and price trends

3. What’s the role of historical data in AI predictions?
✅It helps AI spot trends but doesn’t guarantee future outcomes

4. Why isn’t AI perfect for crypto predictions?
✅It relies on historical data and probabilities

5. What can algorithmic trading bots NOT do?
✅Feel emotions or provide reassurance during market dips

6. What does the noscript warn about trusting AI blindly?
✅AI isn’t a crystal ball and can make mistakes

7. How fast can trading bots execute trades?
✅In milliseconds

8. Can AI predict sudden market crashes caused by tweets?
✅No, AI can’t predict unpredictable events

9. What is algorithmic trading?
✅Bots executing trades based on AI predictions

10. What’s one risk mentioned about everyone using AI in crypto trading?
✅Markets could become oversaturated with similar strategies

11. What is the main takeaway from the video?
✅Al is a powerful tool but doesn't replace research and caution

12. What does sentiment analysis help Al determine?
✔️Whether traders are feeling bullish or bearish

1. What’s the total cap on Bitcoin’s supply?
✅21 million

2. How do miners earn Bitcoin?
✅By verifying transactions

3. How often does the halving occur?
✅Every four years

4. What kind of event is the halving historically?
✅Exciting and speculative

5. What’s a potential downside of the halving?
✅Miners earning less

6. What is Bitcoin halving?
✅An event that cuts miner rewards in half

7. What is the current Bitcoin block reward?
✅6.25 BTC

8. What economic principle is linked to the halving?
✅Supply and demand

9. What’s the cap on new Bitcoin entering circulation?
✅It’s limited by halvings

10. What happens if too many miners quit?
✅The network adjusts its difficulty

11. What will the next block reward be after the halving?
✅3.125 BTC

12. Why does the halving happen?
✅To control Bitcoin’s supply