Python's AI/ML for the Crypto-Industry
summary
Python gets used to prototype a 3-block blockchain in Google Colab and to call exchange APIs via CCXT wrappers; a simple trading bot is implemented and backtested rather than run on real funds, and signal selection includes Twitter sentiment analysis as a trade trigger. Claims emphasize prototyping speed over production performance, note C/C++ cores for major coins, and show practical tools and results (demo hashes, charts, backtest outcomes) rather than vague buzzwords.
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chapters (11)
- 0:00Start
- 6:11Machine Learning
- 8:24Cryptocurrency and Blockchain
- 12:09How Does Python Shape the Cryptocurrency Industry
- 15:18The Industry of Cryptocurrency
- 18:10Creation of Trading Bots
- 20:33A Trading Bot
- 22:20Why Python Is a Good Fit for Projects Involving Ai
- 23:46What Do You Think You Can Build with Python
- 26:42Hashing with Python
- 42:22Cryptocurrency What Are the Test Points that the Qa Should Look into for
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