Applied AI lab for alpha generation, democratizing institutional-grade trading edge with @AlphaNet_AI
Hong Kong
Joined December 2017
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Advanced analytics is here - Hyperliquid integration will also be here soon.
Advanced strategy analytics are now live. Take further control in strategy deployment and selection:
- Analyze performance under various market regimes
- Assess volatility and risk by max drawdown across different timeframes
- Track net exposure and position sizing characteristics of the strategy
AlphaNet is continuously innovating to bring institutional-grade alpha and tools to the public.
Points System is live and accumulating - Guild Leaders have started to build their groups.
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Accumulate points for rewards, access to premium strategies, and long-term incentives - we call that "Skin in the Game"
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Upgraded core engine and 12 new strategies for hyperliquid:native bittensor:native near:native and tron:native
$HYPE $TAO $NEAR and $TRX strategies are now online - all available in all 3 variants Hackworth Prime, Trend, and OptimaShort in a total of 12 new strategies. Maximize your alpha on these assets and allow AlphaNet to do the heavy lifting and capture alpha across a variety of market environments.
These new strategies utilize the newest Hackworth Series V3 engine, which utilize a variety of upgrades and optimizations. Read our primer on Hackworth Series V3 for more details.
View the strategies at:
trade.alphanet.global/strate…
When panic strikes, such as in the case of $ZEC, AlphaNet does the heavy lifting 💪
A volatile and panic-stricken few days in the market as privacy coins $ZEC and $XMR sell off, with $ZEC retracing as much as 56% from June 5.
How did AlphaNet's strategies navigate the dump for privacy coins and others?
See the report below:
alphanet-info.github.io/06-0…
June will be a big month - but first let's recap May 👇
Another big new month comes for AlphaNet - but before we see what June has to offer, let's recap on the month of May in our latest user newsletter, where we go over key metric snapshots, strategy trading behavior, market volatility, and close look into what happens under the hood for Hackworth Series strategy engine.
New live performance metrics, leaderboards, and analytics coming soon to AlphaNet.
Read the newsletter below:
alphanet-info.github.io/News…
Public launch (hypergrowth), new features, new user-driven guild system, extended credits (leverage), and more.
Floodgates of adoption has opened.
#AITrading #vibetrading
The much anticipated AlphaNet public launch is now here. No whitelist applications - simply connect, explore, select, and deploy across an arsenal of institutional-grade quantitative AI strategies.
New features include strategy capacity gauge and signals & trading view to help users understand a strategy's popularity and give a preview of how it trades.
A much awaited, brand-new user and merit-driven Guild Leader System and Extended Credits program for VIP users will be unveiled shortly.
Happy alpha-generating!
AlphaNet to be released to all users (public) on May 25.
Hypergrowth Coming.
AlphaNet will be open to all users starting May 25, 2026 - no whitelisting or approvals required. After months of meticulous testing, upgrades, and getting early user feedback, we are ready to ignite the growth engine.
Premium user tiers and brand-new user-driven guild and referral system coming soon.
New paper from AlphaNet team just dropped. Looks like multi-asset portfolio strategies coming in the horizon.
Traditional quant strategies utilize "alpha mining", utilizing often explainable signals (price/volume, microstructure, macro, event-driven etc) to generate trades and positions - and this is what majority of Wall Street firms use. In China over 80% of the top quant firms heavily utilize deep learning systems (including Deepseek's parent High Flyer), a black-box approach that is often non-explainable and uses deep neural network based trained on years of historical data to output predictions from hundreds or thousands of data points.
It is a controversial topic, which practitioners in category often critiquing the other. This 47-page paper compares in detail both approaches and provides an argument on why deep learning has bigger long-term moat.
It also covers frontier approaches for portfolio management in deep learning strategies. (Hint: multi-asset portfolio strategies coming to AlphaNet)
The paper is first being published first in the Chinese quant and academic industry - source is below:
alphanet.global/Alpha%20Mini…
If the current edge and alpha we provide users is not enough - here's some more: prediction markets data from Polymarket now integrated into Hackworth Series V2 strategies (Prime, OptimaShort, Trend), bringing the number of data points (features) utilized in Hackworth proprietary engine up to over 500.
After meticulous testing and experimentation that proved to improve performance, Polymarket crypto data (5 min prediction to daily) is now integrated into all Hackworth Series V2 strategies (for applicable pairs and strategies) - further advancing our users' edge.
Now Hackworth Series V2 (currently used by XMR and ADA) strategies inclusive of Polymarket data utilize over 500+ features (data points) for its core deep learning-based engine.
Additional updates including multi-language support and shareable strategies:
trade.alphanet.global/strate…
Consistency is the beast of excellence and leaves little to chance. AlphaNet delivers once again.
#AITrading #quantstrategies
Avid & experienced AlphaNet user? Soon you will be able to deploy more alpha using same amount of capital.
#AITrading
As AlphaNet is growing and now on average approving 30+ whitelist requests per day, we are listening and catering to varying needs of different users.
From 5/15 onwards, we will be enabling Extended Credits for select users that fit certain criteria (deployment sizes, overall PnL performance, age on platform). This would enable users to extend leverage to their strategy deployments of up to 1.5x account size initially. For example, an initial account size of 10,000 USDT would be able to deploy 15,000 across strategies of the users' choice.
#AIquant #vibetrading
The left is a chart showing sideways action of $XMR for April. Right shows AlphaNet smoothly delivering a half-month return of 9% for the same month.
Can you beat AlphaNet trading the chop? We're soon to find out as we roll out user vs AlphaNet trading competitions.
#AITrading #vibetrading $PHB
alphanet.global
New official site and portal for AlphaNet has launched, featuring a new look and better accessibility. This launch precedes next steps in platform growth and hyperscaling.
Trading will be relocated to trade.alphanet.global this week, which may require some users to reconnect their wallet depending on browser settings.
#tradingevolved #AITrading #vibetrading
New strategies for $ADA and $XMR utilizing the new and improved Hackworth Prime V2 engine to be online on March 31.
AlphaNet's alpha capacity and choices continue expanding with no signs of slowing down.
#vibetrading #AITrading
Why doesn't any trading platform offer SOTA algo trade execution for minimizing slippage? Simply because its no trivial matter, and requires low-latency systems, machine learning knowhow and specialized R&D resources. As AlphaNet onboards new early users and institutional partners, maximizing alpha capacity across strategies means continue pushing the envelope for proprietary algorithmic execution engines to minimize trading costs.
Below is the newest benchmark of a ~15BTC, 30 second algo execution via AlphaNet's V4 TWAP Engine (compared to prior versions), which utilizes tick-level data and predictive deep learning to balance liquidity and price directional drift for optimizing overall cost. The results yielded an astounding average slippage of $4.68 across over 1000 trials.
For those interested in the basic theory and system behind AlphaNet's execution engine, refer to the technical whitepaper section below:
alphanet-wp.phoenix.global/#…
With the proliferation of DEXs, prediction markets, and leveraged “gambling houses” of various forms – retail traders can’t seem to find what they’re looking for: consistent trading edge and alpha. According to sources, 74-89% of leveraged retail traders on CEXs lose money, and up to 95% on perp DEXs are unprofitable.
Upon 2 and a half months of launch, AlphaNet has delivered what no other platform in this market has – consistent systematic alpha with superior risk-adjusted returns. And it has delivered it in a seamless fashion with minimal effort from users, with a click of a button.
With such a definitive and differentiated value proposition for the market and technical prowess to back it – we are hellbent on building, growing out, and scaling the platform. No obstacles can stop us.
We are initiating hypergrowth with various new feature & strategy rollouts, community incentive initiatives, and strategic maneuvers - including community guild leaders and other ownership-based programs.
Stay tuned. #AITrading #vibetrading #tradingevolved
AlphaNet is receiving acclaim from early users and partners in the trading ecosystem for being differentiated in its value-delivery approach to trading – it has also garnered substantial institutional attention, namely in terms of potential equity investors, in which we aim to close an equity funding round within the next month.