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Quantitative AI Trading Platform AlphaNet Raises $10M Seed Round Led by Joffre Capital

Digital Pulse by Digital Pulse
April 16, 2026
in Metaverse
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Quantitative AI Trading Platform AlphaNet Raises M Seed Round Led by Joffre Capital
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by
Gregory Pudovsky


Printed: April 16, 2026 at 7:00 am Up to date: April 16, 2026 at 4:44 am

To enhance your local-language expertise, generally we make use of an auto-translation plugin. Please word auto-translation will not be correct, so learn authentic article for exact info.

Quantitative AI Trading Platform AlphaNet Raises M Seed Round Led by Joffre Capital

Institutional-grade quantitative AI buying and selling platform AlphaNet has introduced a $10M Seed Spherical led by non-public fairness agency Joffre Capital and joined by enterprise capital agency Huashan Capital and an Asia-based quantitative buying and selling consortium. This marks the platform’s preparation for a public launch shifting out of invitation-based whitelist solely mode.

Evolving the Retail Buying and selling Paradigm

With the proliferation of perp DEXs, RWAs, and prediction markets, financialization of devices and selection of buying and selling venues has reached an all time excessive. As markets have gotten more and more environment friendly, and adversarial gamers extra numerous in addition to institutional, retail traders’ buying and selling edge is being more and more eroded. AlphaNet has constructed a platform that goals to stage the enjoying subject, by offering customers end-to-end automated buying and selling from a set of institutional-grade alpha sources at their disposal.

Finish-to-Finish Platform for Systematic Alpha Era

AlphaNet focuses on offering customers “systematic” alpha – sources of superior risk-adjusted return for customers that may be measured, tracked, and assessed quantitatively over time. The primary providing is a SOTA end-to-end platform that features an institutional-grade quantitative technique market, one-click technique deployment, seamless execution by way of proprietary buying and selling algorithms, and instruments to handle and monitor and tweak the customers’ personal strategy-mix in actual time.  

Incubated by Asia prop buying and selling agency Tensor Funding, AlphaNet is the one platform that mixes deep learning-based methods, low-latency execution algos, AI compute for coaching and inference, and liquidity by way of a DEX-based protocol in a single seamless turnkey answer. The platform does the heavy lifting and the customers get to entry proprietary alpha that was beforehand solely obtainable to institutional traders.

Open Platform and Agentic Future

AlphaNet at the moment has over 30 high-Sharpe methods and a consumer retention charge of over 98%. All the methods are at the moment offered by Tensor, however in direction of the tip of Q2 the Open Platform is predicted to launch, enabling different prop buying and selling groups to combine their quant methods and alphas. All methods on the platform require present process AlphaNet’s proprietary robustness testing and alpha decay mitigation framework earlier than being allowed to be dwell on the platform, and can leverage AlphaNet’s shared buying and selling execution and inference infrastructure.

By the tip of Q2, 100+ methods are anticipated to be on AlphaNet, and a novel agentic system for personalised technique choice and deployment is at the moment being developed to assist customers navigate by means of the myriad of alphas and automate deployment and monitoring.

Expertise, Assets, and Alignment by way of Capital

By this funding spherical, AlphaNet advantages from the operational experience of Joffre Capital, whose multibillion greenback portfolio embrace non-public and public firms with the likes of Investing.com, Grindr, and Cash.ph (Southeast Asia’s greatest crypto alternate). Huashan Capital, early investor of firms equivalent to Airwallex, AI Rudder, and Moonshot.ai (Kimi) helps carry experience and sources in scaling of tech platforms and fundraising. 

And eventually, the quantitative buying and selling consortium brings proprietary methods, compute sources, and algorithms to AlphaNet’s choices to assist it develop as the primary institutional-grade end-to-end open alpha platform.

About AlphaNet

AlphaNet is a SOTA quantitative AI buying and selling platform that gives customers institutional-grade alpha, proprietary algo execution, and automatic buying and selling in a single seamless end-to-end answer.

Web site: https://alphanet.world/ 

Contact Particulars

Press Contact: Peter Yudee

E mail: [email protected]

Location: HongKong

Disclaimer

In keeping with the Belief Venture pointers, please word that the data offered on this web page will not be supposed to be and shouldn’t be interpreted as authorized, tax, funding, monetary, or every other type of recommendation. You will need to solely make investments what you’ll be able to afford to lose and to hunt impartial monetary recommendation when you’ve got any doubts. For additional info, we advise referring to the phrases and circumstances in addition to the assistance and assist pages offered by the issuer or advertiser. MetaversePost is dedicated to correct, unbiased reporting, however market circumstances are topic to alter with out discover.

About The Creator


Gregory, a digital nomad hailing from Poland, will not be solely a monetary analyst but in addition a helpful contributor to numerous on-line magazines. With a wealth of expertise within the monetary business, his insights and experience have earned him recognition in quite a few publications. Utilising his spare time successfully, Gregory is at the moment devoted to writing a ebook about cryptocurrency and blockchain.

Extra articles


Gregory, a digital nomad hailing from Poland, will not be solely a monetary analyst but in addition a helpful contributor to numerous on-line magazines. With a wealth of expertise within the monetary business, his insights and experience have earned him recognition in quite a few publications. Utilising his spare time successfully, Gregory is at the moment devoted to writing a ebook about cryptocurrency and blockchain.



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