From Data to Decision: A Cost-Effective Smart Algorithmic Trading System (SATS)

Document Type

Book Chapter

Source of Publication

Sustainable Responsible Practices in Technology and Business for Society 5.0

Publication Date

7-2-2026

Abstract

Rapid globalization and advanced technologies in financial markets have made trading complex and competitive, advantageously favoring large institutions with immense resources and highly sophisticated tools to make individual traders and small professionals facing challenges. These groups are largely left lacking access to high-quality, user-friendly trading solutions that integrate automation and data analysis. The proposed solution Smart Algorithmic Trading System (SATS) serving as a powerful trading tool to fill in this gap by offering a low-cost, web-based solution for facilitate financial trading decisions, automate trading strategies, and provide real-time market data visualization. SATS features automated trading strategies, manual trading facilities, and strong data visualization capabilities into an integrated platform that empowers users—investors with limited previous financial or technical experience—to make better decisions. The SATS uses the Exponential Moving Averages (EMA) as an indicator to guide traders, investors, and data analysis to decide of selling, buying, or holding assets. It allows setting EMA spans, monitoring live market trends through Binance API. Compared to traditional.

ISBN

978-3-032-21224-5

ISSN

2198-4182

Publisher

Springer Nature Switzerland

Volume

670

First Page

567

Last Page

574

Disciplines

Business | Computer Sciences

Keywords

Algorithmic trading, Cost-effective trading solutions, Exponential moving averages (EMA), Financial market analysis, Real-time data processing, Smart trading strategies

Scopus ID

105046737549

Indexed in Scopus

yes

Open Access

no

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