Comments and Recommendations:

Question 1: Understanding On-Chain Data Metrics
Your explanation of on-chain data metrics was well-articulated, covering wallet activity, transaction volumes, and whale behavior. The examples drawn from Bitcoin and comparisons to STEEM added value, although deeper analysis specific to STEEM would have been even better. Highlighting STEEM-specific challenges such as limited data accessibility shows critical thinking.

Question 2: Using Sentiment Indicators
The discussion on sentiment indicators like Fear & Greed Index and social media sentiment was solid and detailed. The practical examples, such as Bitcoin’s price corrections linked to high greed levels, effectively demonstrated the concepts. Including STEEM-specific sentiment trends could have strengthened the relevance of your examples.

Question 3: Integrating On-Chain Data with Sentiment Indicators
Your integration of on-chain data with sentiment indicators was insightful. The use of Bitcoin as a benchmark for explaining trends was practical. However, the section could have benefited from more focused STEEM/USDT examples, as the integration concept was somewhat generalized.

Question 4: Developing a Sentiment-Based Trading Strategy
Your sentiment-based trading strategy was well-developed and clear. The buy and sell strategies were detailed with specific entry, exit, and risk management criteria, which provided actionable insights. Including more backtested scenarios or live examples with STEEM would have enhanced credibility.

Question 5: Limitations and Best Practices
You highlighted the challenges of sentiment analysis, such as manipulation and delayed reactions, with sound practical recommendations like diversifying data sources and combining sentiment analysis with other tools. The best practices were well-presented and aligned with real-world trading scenarios.

Formatting and Clarity
The post was logically structured, and the use of visuals and charts supported the content effectively. However, some sections were dense with information, and simplifying or breaking down the content into more digestible parts could improve readability.

Overall
Your submission showcases a comprehensive understanding of on-chain data and sentiment indicators and their application in crypto trading strategies. While the inclusion of STEEM-specific examples could have been deeper, the content was well-researched, actionable, and engaging.

Final Score: 8.7/10