# Blockchain Metrics and Indicators in Cryptocurrency Trading

arXiv: https://arxiv.org/abs/2403.00770 · HTML: https://mlsanity.com/paper/2403.00770/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Feb 2024.

## Built on by (most cited first, 2 of 2)

- [Enhancing Forex Forecasting Accuracy: The Impact of Hybrid Variable Sets in Cognitive Algorithmic Trading Systems](https://mlsanity.com/paper/2511.16657/) (2025)
- [Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions](https://mlsanity.com/paper/2512.02036/) (2025)

## Abstract (arXiv)

The objective of this paper is the construction of new indicators that can be useful to operate in the cryptocurrency market. These indicators are based on public data obtained from the blockchain network, specifically from the nodes that make up Bitcoin mining. Therefore, our analysis is unique to that network. The results obtained with numerical simulations of algorithmic trading and prediction via statistical models and Machine Learning demonstrate the importance of variables such as the hash rate, the difficulty of mining or the cost per transaction when it comes to trade Bitcoin assets or predict the direction of price. Variables obtained from the blockchain network will be called here blockchain metrics. The corresponding indicators (inspired by the "Hash Ribbon") perform well in locating buy signals. From our results, we conclude that such blockchain indicators allow obtaining information with a statistical advantage in the highly volatile cryptocurrency market.