GraphIT: Interaktivní webová aplikace pro business analytiku a simulaci scénářů

Abstract

This thesis describes the development of GraphIT, a web-based analytical platform for historical market data visualization and cryptocurrency price prediction. The architecture utilizes Docker containerization. The backend is built on FastAPI and a PostgreSQL database, populated by a custom ETL pump using Binance data. A key computational feature is the data-optimized Monte Carlo stochastic simulation. The React-based client offers an interactive dashboard that users can fully customize via Drag and Drop widgets. The result is a modern, high-performance tool for financial analysis.

Description

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Subject(s)

web application, Business Intelligence, React, FastAPI, ETL process, Monte Carlo simulation, containerization, cryptocurrencies

Citation