CAIRNS, Queensland, July 3, 2026 — SaintQuant, a no-code, AI-powered automated trading platform, today announced the availability of its pre-built quantitative trading strategies on cryptocurrencies, stocks and futures – each with risk management built directly into the strategy – as well as a no-deposit trial that allows new users to test strategies live before committing capital. The launch comes as demand for AI-based trading tools increases across the stock and cryptocurrency markets, with independent analysis indicating that algorithmic and AI-based systems are increasingly shaping the behavior of retail investors around the world.
AI trading tools emerge as a multi-asset growth engine
Industry analysts and financial technology researchers report that retail adoption of AI trading tools is steadily increasing, with notable differences across asset classes. According to aggregated third-party marketplace data:
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The adoption of AI trading tools in cryptocurrency markets has increased by more than 40% year-over-year.
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The use of automated trading systems in stock markets has increased by approximately 28%.
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Algorithmic trading penetration continues to grow in foreign exchange markets.
Analysts describe this trend as a structural shift from discretionary, emotion-driven trading to data-driven, model-driven decision-making among ordinary investors.
Search demand signals newbie-led wave
Independent study tracking search behavior indicates growing interest for retailers in 2026:
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Global search volume for “AI trading tools” increased by more than 55% year-over-year, according to third-party analytics providers.
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“Automated trading system for beginners” has become one of the fastest growing retail investing queries.
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The demand for automated stop-loss strategy and AI tools is increasing, especially in crypto markets.
The researchers note that this growth is driven not only by professionals, but also by beginners looking for automated and passive approaches – a shift in how automation is designed.
Risk management becomes industry priority
According to financial technology experts, AI trading robots that combine machine learning models, real-time data analysis and automated execution are known to improve efficiency and reduce emotional decision-making. However, increasingly, what differentiates is not raw automation but discipline.
“The first wave of adoption was about convenience: enabling software to perform transactions,” said a SaintQuant spokesperson. “The current wave is about trust. Retail investors want automation that manages risk for them, not tools that just speed up trades. That’s where the market consolidates, and that’s the standard we follow.”
Industry players point to several advantages that automated systems can offer over manual approaches, including continuous market monitoring, faster execution, consistent compliance with rules, and built-in risk controls such as position limits and automated stop-losses.
Lower barriers fuel mainstream adoption
Fintech companies have focused on reducing barriers to entry. A typical onboarding workflow now includes three steps: account setup, strategy selection based on risk tolerance and capital, and enabling automated trading with performance visible via a dashboard.
SaintQuant operates in this segment as a no-code, AI-powered automated trading platform. It provides pre-built quantitative strategies for cryptocurrencies, stocks and futures, with structured risk management directly into each strategy, and automatically handles execution and monitoring 24/7, removing the coding and configuration that historically kept automation out of reach of beginners. New users can explore live strategies through a no-deposit trial. More information is available at SaintQuant.com.
Perspectives: towards an AI strategy ecosystem
Beyond execution, industry players are building open strategy ecosystems that allow developers and quantitative traders to test and share models – an emerging “AI quantitative strategy marketplace” spanning asset classes and risk profiles. Analysts believe that AI-based automated trading will become a significant growth segment of fintech over the next three to five years, with infrastructure scalability and strategic ecosystems as key differentiators.
SaintQuant emphasizes that no automated system can guarantee a profit and that any transaction carries risks, including possible loss of capital. The company views automation as a tool for disciplined and consistent engagement, not as a promise of performance.
About SaintQuant
SaintQuant is a no-code, AI-powered automated trading platform designed for users who want automated trading without technical complexity. It combines real-time quantitative modeling, continuous automated execution and integrated risk management for cryptocurrencies, stocks and futures. By automatically handling strategy management and market monitoring, SaintQuant aims to give retail and institutional investors access to disciplined and automated trading in all market conditions. Learn more about
Media contact
Name: Ryan Mitchell
Email: ryan.mitchell@saintquant.com)
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