Global algorithmic trading is projected to grow from about $21 billion in 2024 to nearly $43 billion by 2030, according to estimates from Fortune Business Insights, Grand View Research, Mordor Intelligence, and IMARC Group.
Amid this prohections, cloud-based trading and research platform TakeProfit is eying this expanding market with the launch of a cloud-based strategy backtesting module available to all users.
New Cloud-Based Tool
TakeProfit said the new module allows traders to design, test, and evaluate algorithmic strategies directly from a web browser.
Algorithmic trading is scaling beyond institutions into a fast-growing, multi‑billion‑dollar market. Retail traders expect browser‑based backtesting, scripting, and marketplace tools that used to sit only inside banks and quant funds, forcing brokers, platforms, and vendors to rethink infrastructure, product design, and how they deliver “institutional‑grade” workflows over the cloud.
“The growth in the retail segment points to traders who want systematic approaches but are working with platforms designed for institutional workflows or built around proprietary scripting environments,” said Pavel Medvedev, Digital Growth Strategist at TakeProfit.com. “This gap is where cloud-native infrastructure and modular trading environments are finding traction.”
TakeProfit’s latest feature is integrated into the platform’s Workspaces and supports Indie, TakeProfit’s Python-based scripting language for custom indicators. The update extends access to systematic testing tools without requiring any local installation.
Market data shows retail investors are becoming one of the fastest-growing segments in algorithmic trading. TakeProfit’s Digital Growth Strategist, Pavel Medvedev, said the trend reflects traders seeking systematic tools built for more accessible, web-based workflows.
Retail Adoption Rising
TakeProfit also operates a cloud Indicator Marketplace for independent analysts and developers, alongside modular Workspaces, a centralized Widget Hub, and a Community Feed for sharing research.
The company said its recent launch supports the broader shift toward cloud-native infrastructure as retail traders increasingly adopt quantitative trading tools once limited to institutions.
This article was written by Jared Kirui at www.financemagnates.com.Retail FXRead More
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