Global Fintech Interview with Michael Katz, CEO of Trade The Pool

Michael Katz, CEO of Trade The Pool chats about retail trading and the benefits of automation in this field in this fintech interview:

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Tell us about Trade The Pool in brief.

Trade The Pool (TTP), a private equity firm based in Israel, is a game-changing platform that funds home-based stock traders with up to $200,000 in buying power, removing the need to risk personal capital. Unlike traditional brokerages, TTP provides a structured path for retail traders to grow skills, gain real‑market experience, and keep risk capped.

How is automation becoming more mainstream to trading norms around the world? Can you share examples?

Algorithmic trading or automations is no longer exclusive to Wall Street; it is now becoming a widely adopted practice for retail and professional traders worldwide. This shift comes from three forces: AI advancements, the increasingly time‑pressed lives we all live in, and the awesome wave of new retail traders post-2020 who demands modern features. Most importantly, algorithms outpace human reflexes, reducing negative slippage, a critical factor in more volatile markets.

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Why is this happening? Traders need an edge, and automation allows you to scale it. No-code tools lower the barrier of entry, so a day trader in New York or a part-timer in Tokyo can set up trading systems once exclusive to hedge funds. In 2023, the global automated securities trading market was valued at $18 billion, projected to grow to $35 billion by 2028 at a 12% CAGR.

Examples:

• United States: Robo-advisors manage trillions, automatically rebalancing portfolios when markets shift, saving investors from panic selling and timing the market.
• India: Algorithmic trading accounts for about 50–55% of India’s total market volume, per ANMI data.
• Europe: By 2030, Europe’s algorithmic trading market is forecast to hit about $10.22 billion USD, growing at an annual rate of 12.6% from 2025.
• SignalStack: Lets Stocks, Crypto, Forex, Options even CFD traders automate single alerts or full strategies in less than .45 seconds, with a 99.99% platform uptime.

What should users and businesses be alert about as they open up to automation in this area?

To embrace trading automation, users and businesses must adopt a systematic approach, treating trading akin to developing a business plan. Start by generating ideas and backtesting them across diverse market conditions, then forward-test with paper trading or a prop account to validate your edge. Automation will never completely remove emotion in trading, but a solid risk management plan acts as a deterrent.

Above all, never abandon your intuition. Over-optimizing strategies risks failure in live markets, but a periodic review of your system is a great way to catch blind spots. Keep a detailed trading strategy journal that records not only your algorithm’s performance and market conditions, but also your decision‑making rationale when adjusting or intervening in the system. It is about building a repeatable, profitable and consistent automated strategy.

What will the future of retail trading look like as automation becomes more central to the function?

The future of retail trading is innovation-led, with retail traders leveraging algorithmic trading, no-code tools to implement and scale their strategies. New marketplaces will emerge where traders can sell their algorithms or complete trading system to peers, mirroring how app stores democratized software. This will let a swing trader in London or a part-timer in Mumbai monetize their edge, with new platforms emerging and firms like Trade The Pool continuing to push the envelope, while ensuring compliance and transparency.

Five fintech thoughts you’d like to leave us with before we wrap up?

• Accelerate Nasdaq’s Algorithmic Trading Nature: No-code automation will flood the markets with algo traders, pushing Nasdaq’s 70-80% bot-driven trade seven higher.
• Decentralized Access: Fully automatic trading bots, together with funded platforms like Trade The Pool, that eliminates personal capital risk, makes way for a new class of “smart-algo traders” who scale strategies while limiting their downside.
• Marketplace of Systems: There will come a time when retail traders will be able to monetize their own algorithms and trading systems. New types of mentors based on performance will drive competition.
• A New Trading Stack: As algorithmic tools become as accessible, market participation will no longer hinge on time at the screen. Busy 9 to 5 professionals will integrate automated trading alongside investing as part of their core financial literacy stack. The next decade won’t be about “learning to trade,” but about designing and maintaining systems that trade for you.
• Peer-Driven Adoption: As passive participants see active peers automate and profit, more will adopt no-code automation tools. This snowball effect will make automation the standard.

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