AI algo trading platform AlphaNet has completed a 10 million USD seed funding round, led by Joffre Capital

Institutional-grade AI algo trading platform AlphaNet announced the completion of a 10 million USD seed funding round, led by Joffre Capital with participation from Huashan Capital and an alliance of multiple Asian quantitative trading institutions. AlphaNet stated that following the completion of this funding round, the platform will gradually transition from its previous invite-only whitelist model to officially launch for the public.

AlphaNet believes that with the development of sectors such as perpetual contract decentralized exchanges (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, further squeezing the trading advantages of retail investors.

Based on this assessment, AlphaNet aims to enhance the trading capabilities of ordinary users in complex market environments by providing end-to-end automated trading capabilities, enabling them to access a range of institutional-grade alpha sources.

According to the introduction, AlphaNet focuses on 'systematic alpha,' which refers to sources of excess risk-adjusted returns that can be quantitatively measured, continuously tracked, and evaluated. Its core product is an end-to-end trading system that includes an institutional-grade quantitative strategy marketplace, one-click strategy deployment, trade execution supported by proprietary trading algorithms, and a suite of tools 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 trade execution algorithms, AI computing power required for model training and inference, as well as liquidity based on decentralized exchange protocols, aiming to provide users with a one-stop AI algo trading solution. The platform handles underlying technology and closed-loop operations, gradually opening up strategy capabilities previously available mainly to institutional investors to a broader user base.

In terms of business progress, AlphaNet reports that the platform has launched over 30 high Sharpe ratio strategies, with a user retention rate exceeding 98%. Currently, most strategies are provided by Tensor, but an open platform is expected to launch by the end of the second quarter, allowing other quantitative teams to integrate their strategies and alpha. The platform claims that all strategies must pass its self-developed robustness testing and alpha decay control framework before going live and will be connected to the platform’s algorithmic trading execution and model inference infrastructure.

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

Regarding support from this round of financing, AlphaNet stated that Joffre Capital will provide operational and resource-level synergies for the platform. Public information shows that Joffre Capital manages tens of billions of dollars in assets, with a portfolio including Investing.com, Grindr, and Southeast Asia's cryptocurrency exchange Coins.ph, among other private and publicly listed companies. Huashan Capital has invested in companies such as Airwallex, AI Rudder, and Moonshot AI (Kimi), and AlphaNet believes it has relevant experience in tech platform expansion and fundraising.

Additionally, the alliance of participating quantitative trading firms will provide AlphaNet with strategy, computing power, and trading algorithm support. AlphaNet stated that it will continue advancing the construction of an open platform, aiming to evolve into an institutional-grade end-to-end alpha return platform catering to a wider audience.

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