Horizon Trade, an agentic platform designed to convert trading ideas into automated strategies, has officially launched with early support from Entrée Capital and a waitlist of more than 23,000 traders eager to access the service.
The launch is aimed at democratising systematic investing, a discipline that has long been out of reach for anyone without deep pockets or specialist expertise. Building a trading strategy has typically meant employing quantitative researchers, purchasing institutional data feeds and writing bespoke code simply to trial a concept before committing capital.
While AI has started to chip away at these barriers, with 73% of investors now applying the technology to financial and investment tasks, general-purpose chatbots and frontier models struggle to dependably backtest ideas against historical data or manage sophisticated strategies. Meanwhile, brokers’ built-in agents are geared towards executing trades rather than designing or validating them. Horizon claims its AI-native platform bridges this gap.
The platform serves independent traders and investment professionals, enabling them to quickly implement concepts and evaluate strategies against historical scenarios to confirm they are statistically sound before deployment.
Whether a user proposes a basic entry-and-exit rule or a more complex sector-rotation approach, Horizon generates the underlying code, runs backtests spanning years of market data and stress-tests the strategy for robustness. Identical strategy code is used for both backtesting and live execution, reducing the potential for errors. Traders can deploy instructions with a single click and can also copy portfolios and strategies shared by others on the platform.
Users can also select their preferred broker or exchange, with options including Coinbase, Binance, Kraken, Alpaca, E*Trade, TradeStation and more than a dozen others, with trades executed automatically according to each strategy created.
Horizon co-founder and CEO Tuvia Ohana said, “Most traders are considering multiple ideas or hypotheses at once – like, what happens if you buy every IPO at the open and sell before the closing bell or, do steel and cement stocks outperform after a major earthquake. They assume they’d need to be a developer to test something like that, and that perception alone keeps most ideas from ever being acted on.
“Building a chatbot with some market data is one thing. Building the infrastructure investors can trust with real capital is something else entirely. Horizon combines an institutional-grade backtesting engine, market-data infrastructure, strategy intelligence, and live-trading execution in one system. An investor can describe an idea, test it across historical market conditions, understand its projected risk and performance, refine it, and deploy it live. We are building the technology layer for the future of trading.”
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