Added further upgrades and iterations by integrating the research and investment data platform into the content creation platform. This allows you to quickly collect market changes using the platform, and then directly proceed with the next step of creating and publishing N connected official channels. If WeChat Reading finds inspiration, it’s content built from your own previously summarized experiences—notes, highlights, and ideas that can be reused. Then market inspiration is the analysis of how data and media resources are leveraged in the present and future.
For example, the display of the following basic data:
• Key facts: Total market cap US$2.64 trillion, 24h +0.04%; Trading volume US$51.442 billion, change +24.25%.
• Structural signals: $BTC market share 58.90%, 24h +0.22%; $ETH market share 11.57%.
• Sentiment cross-validation: The Fear and Greed Index is 67 (Greed).
But at the moment, the data module hasn’t included too many of the DIY modules I personally fine-tune for my own use. Step by step. It’s still quite interesting. The next upgrade will likely be one I’m even more excited about:
#AI #Web3
For example, the display of the following basic data:
• Key facts: Total market cap US$2.64 trillion, 24h +0.04%; Trading volume US$51.442 billion, change +24.25%.
• Structural signals: $BTC market share 58.90%, 24h +0.22%; $ETH market share 11.57%.
• Sentiment cross-validation: The Fear and Greed Index is 67 (Greed).
But at the moment, the data module hasn’t included too many of the DIY modules I personally fine-tune for my own use. Step by step. It’s still quite interesting. The next upgrade will likely be one I’m even more excited about:
#AI #Web3
