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GutterGuard and CoinGrinder Simulation results

GutterGuard and CoinGrinder Simulation results

Posted on: December 12, 2023 22:05 UTC

A recent study on bustabit's hot wallet simulation, using 2023 feerates, reveals insights into UTXO management and fee efficiency comparing different algorithms.

An increase in UTXOs was observed for all algorithms, with counts exceeding the standard of 10 sat/vB. The master algorithm resulted in 116 UTXOs, while GutterGuard and CoinGrinder finished with 183 and 188 UTXOs respectively.

Despite higher UTXO counts, GutterGuard and CoinGrinder were more cost-effective, reducing fees by 3.2% and 9.5% compared to the master. Total fees amounted to 0.44500219 BTC for master, 0.43080706 BTC for GutterGuard, and 0.40248296 BTC for CoinGrinder.

The study encompassed various metrics such as balance, UTXO size, transaction details, and change statistics, along with total and average fees. A detailed breakdown illustrated the growing UTXO count, transaction sizes, and fees over time, showing the algorithms' changing output management strategies.

The report highlights the importance of precise fee estimation and UTXO management in reducing Bitcoin transaction costs under fluctuating network conditions. It examines usage patterns with 'knapsack', 'srd', and 'bnb' strategies to evaluate cryptocurrency wallet management effectiveness.

An analysis of the datasets indicates growth in certain areas, notably the 'bnb' strategy, which increased its total from 1374 to 1894 units, contrasting the static 'knapsack' at one unit. This suggests a greater impact of 'bnb' on the system's operations. Financial figures such as "0.00050005" suggest rates or fees, with larger numbers indicating an economic uptrend. Performance metrics showed a decrease, hinting at potential optimization needs.

Constant figures like "1 | 93" suggest an unchanging parameter, while fluctuating values at the end of segments show system performance changes over time. The exact significance of these numbers is not clear without further context but could be critical for financial analysis, system health monitoring, or algorithmic efficiency assessment.