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.
