Democratizing Algorithmic Trading: A No-Code Platform Approach to Expert Advisor Development for Non-Programmers
Abstract
The barrier to entry for algorithmic trading remains high traditional Expert Advisor EA development requires 1-5 years of programming expertise, limiting access to an estimated 80% of retail traders without specialized coding skills. This paper presents a novel approach to democratizing automated trading system development through a no-code platform architecture that enables non-programmers to generate functional, backtestable Expert Advisors in under five minutes. Through empirical validation with 100 participants and backtesting of 50 generated EAs, we demonstrate: (1) no-code synthesis can reduce EA development time by 99.7% while maintaining high success rates (98% code compilability), (2) platform-generated EAs achieve performance metrics statistically comparable to hand-coded implementations (Sharpe p=0.38, Profit Factor p=0.51), and (3) user satisfaction is high (8.7/10), indicating strong product-market fit and genuine demand for accessibility-focused tools.
Fields of Study & Subjects
Financial Markets and Investment Strategies
FinTech
Crowdfunding
Digital Finance
Stock Market Forecasting Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 January 2026