Looks like you're making headway with your code – nice job getting those tests running between other tasks. It's all about multitasking and squeezing in that dev time.

Keep tweaking and testing; every iteration gets you closer to a tool that could really make a difference. Can't wait to see it evolve!

Stay focused, stay caffeinated (if that's your thing), and keep on coding! 💻🚀 #CodeOnTheGo

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Strandedness score basic plan. will see what is dellusional as i go lol:

1. Gather Necessary Data:

UTXO Data: Extract the UTXO set from full Bitcoin node, focusing on the age (block height at creation) and value of each UTXO.

Fee History: Obtain historical fee data. This can include average transaction fees per block or per time period.

2. Develop a Scoring Algorithm:

Age Factor: Older UTXOs might have a higher likelihood of being stranded, especially if they were created when fees were lower relative to their value.

Value vs. Fee Comparison: Compare the value of each UTXO against historical fees around its creation time and current fees.

Score Calculation: Create a formula that combines these factors. For example, a UTXO might have a high strandedness score if it has a low value relative to both past and current average fees, and it is old.

3. Consider Score Components:

UTXO Value: Lower-value UTXOs are more likely to be stranded.

Historical Fee Context: If fees have risen significantly since the UTXO was created, it may be more likely to be stranded.

Current Fee Trends: Current fees provide context for whether the UTXO can be economically spent now.

4. Implement the Scoring System:

Data Processing: Use libraries (e.g., pandas, matplotlib) for analysis and visualization.

Database: Store and query blockchain data efficiently using a database system.

5. Regular Updates and Analysis:

Dynamic Analysis: Update analysis regularly to account for changes in transaction fees and the addition of new UTXOs.

6. Interpretation of Scores:

Score Thresholds: Define what score ranges constitute a high likelihood of being stranded.

Use Cases: Use the scoring system to inform wallet management decisions, research on Bitcoin network economics, or protocol development.

7. Ethical and Privacy Considerations:

Anonymity: Ensure that analysis respects the privacy and anonymity of Bitcoin users.

Public Data Only: Use only publicly available blockchain data without compromising any private keys or sensitive information.