PCP: An Efficient Peer-to-Peer Crypto Price Prediction Tool
A brief introduction to the project:
Today, we're introducing you to an interesting GitHub project named PCP (Peer Count Protocol). Developed by Dennis Tra, PCP aims to decentralize crypto price predictions by involving everyone in the decision-making process. With cryptocurrency on the rise, the relevance and utility of this project could not be overstated.
Project Overview:
The primary objective of PCP is to allow users to make joint predictions about cryptocurrency prices and provide a platform for P2P sharing. It tackles a significant issue in the realm of cryptocurrency – the lack of democratic, unregulated forums where people can discuss and make forthright predictions. Targeting crypto enthusiasts, investors, researchers, and everyday users, this tool serves as a common platform for shared predictions and cohort analysis.
Project Features:
PCP provides various significant features, including decentralized price predictions and prediction diversity. Users can enter their estimations for future prices, thus contributing to the aggregated statistics shown to every participant. This creates a vast pool of varying perspectives and predictions. By providing a platform where everyone is allowed to participate, PCP is promoting diversity in the crypto prediction landscape.
Technology Stack:
In terms of technology, PCP employs Golang, a statically typed compiled language famed for its efficiency and ease of use, to develop the application. Golang's focus on simplicity and performance aligns perfectly with the requirements of the application. They use Docker for the automated deployment of the application, ensuring secure and efficient delivery. Moreover, for a smooth user interface, Tra has utilized JavaScript and Bootstrap, which are well-known tools for front-end web development.
Project Structure and Architecture:
PCP’s structure is built into three directories – cmd, pkg, and web. The 'cmd' directory contains applications that the project compiles, 'pkg' directory consists of libraries and packages, and, finally, the 'web' directory encompasses all things web-related, for example, stylesheets, JavaScript files, and HTML templates. This well-organized structure indicates the thoughtful architecture put into creating this open-source project.
