AI Quantitative Trading Platform AlphaNet Completes $10 Million Seed Funding, Led by Joffre Capital

Institutional-level AI Quantitative Trading Platform AlphaNet Announces Completion of $10 Million Seed Round Funding, Led by Joffre Capital, with Huashan Capital and Multiple Asian Quantitative Trading Institutions Participating. AlphaNet states that after this round of financing, the platform will gradually transition from the previous invitation-only whitelist model to officially launching to the public.

AlphaNet believes that with the development of perpetual contract DEXs, real-world assets (RWA), and prediction markets, financial instruments and trading venues in the market are becoming increasingly diverse, and trading efficiency continues to improve. Against this backdrop, counterparties are becoming more diversified and institutionalized, and the trading advantages of ordinary investors are facing further compression.

Based on this judgment, AlphaNet aims to help users access a series of institutional alpha sources by providing end-to-end automated trading capabilities, thereby enhancing the trading ability of ordinary users in complex market environments.

According to reports, AlphaNet focuses on “systematic alpha,” which refers to excess risk-adjusted returns that can be quantified, continuously tracked, and evaluated. Its core product is an end-to-end trading system that includes an institutional-level quant strategy marketplace, one-click strategy deployment, trading execution supported by proprietary trading algorithms, and a toolkit for real-time management, tracking, and adjustment of strategy portfolios.

AlphaNet was incubated by Tensor Investment, an Asian quantitative proprietary trading firm. The platform states that its system integrates deep learning strategies, low-latency trading execution algorithms, AI computing power required for model training and inference, and liquidity based on decentralized exchange protocols, aiming to provide users with a one-stop quantitative trading solution. The platform handles underlying technology and closed-loop operations, gradually opening its strategy capabilities, previously mainly targeted at institutional investors, to a broader user base.

In terms of business progress, AlphaNet states that the platform has launched over 30 high Sharpe ratio strategies, with a user retention rate exceeding 98%. Currently, the platform’s strategies are mainly provided by Tensor, but it is expected to launch an open platform by the end of the second quarter to allow other quant teams to access its strategies and alpha. The platform notes that all strategies must pass its proprietary robustness testing and alpha decay control framework before going live, and are integrated into the platform’s algorithmic trading execution and model inference infrastructure.

AlphaNet expects that by the end of the second quarter, the number of strategies on the platform will exceed 100. Meanwhile, the platform is also developing an Agent system for personalized strategy selection, automatic deployment, and continuous monitoring, to assist users in making decisions in more complex alpha environments.

Regarding the support from this round of financing, AlphaNet states that Joffre Capital will provide operational and resource-level synergy for the platform. Public information shows that Joffre Capital manages several billion dollars, with an investment portfolio including Investing.com, Grindr, and Southeast Asian cryptocurrency exchange Coins.ph, among private and publicly listed companies. Huashan Capital has previously invested in companies such as Airwallex, AI Rudder, and Moonshot AI (Kimi), and AlphaNet believes it has relevant experience in technology platform expansion and fundraising.

Additionally, the participating quantitative trading alliance will also provide strategy, computing resources, and trading algorithm support for AlphaNet. AlphaNet states that it will continue to promote the development of an open platform, aiming to become an institutional-level end-to-end alpha revenue platform accessible to a broader user base.