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Global algorithmic trading is set to expand from $21 billion in 2024 to $43 billion by 2030, driven by cloud-native platforms like TakeProfit’s new web-based strategy backtesting module. The platform allows traders to design and test algorithmic strategies directly in browsers, addressing retail traders’ demand for institutional-grade tools without local installations. This shift reflects a broader industry trend toward accessible, cloud-based infrastructure that bridges the gap between institutional and retail markets. The rise of browser-based algorithmic tools is reshaping how brokers and platforms deliver services. Retail adoption of quantitative trading is accelerating, with TakeProfit’s Python-based scripting (Indie) and cloud Indicator Marketplace catering to independent developers. This democratization of algorithmic trading could intensify competition among platforms to offer modular, scalable solutions. For traders, the expansion of cloud-based algo tools means lower barriers to entry and faster access to sophisticated strategies. Brokers must now prioritize cloud-native workflows to retain clients. Key developments to watch include regulatory responses to algorithmic trading growth and how platforms like TakeProfit integrate AI-driven analytics into their ecosystems.
