Socio fundador de BlockchainMurcia, Emprendedor, trader de criptomonedas 💻
Murcia, España
Joined February 2017
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Luis Cano 🇪🇸 retweeted
AlphaNet is an AI futures trading platform. Choose a strategy aligned with your assets, market view and risk level—Autopilot handles entries, position sizing and exits.
Next: we’re bringing AlphaNet to Hyperliquid and introducing Archimedes, our new flagship strategy family. First announced strategies: ETH, SOL, BNB and XMR. Launch is planned for late September 2026.
Strategy capacity is limited. Early-access users get priority, with benefits including: - 2 months of fee-free trading - Strategy capacity reservation for up to $2,000 of your own capital
Join with your email. No deposit required. Get ready for AlphaNet’s next chapter.
alphanet.global/launch/waitl…
Luis Cano 🇪🇸 retweeted
Most “AI trading agent” are a rules bot in costume: an indicator crosses, an order fires.
AlphaNet is built differently—an AI quantitative trading platform on @HyperliquidX combining prediction, market context, risk, and execution in one system.
Here’s how it works 🧵
alphanet.global/blog/What-Is…
Luis Cano 🇪🇸 retweeted
Most quantitative trading infrastructure was built to stay inside funds.
Models. Execution. Risk systems. Research infrastructure.
AlphaNet pointed that stack outward.
We went live in January with real users and real capital.
See full analysis:
alphanet.global/blog/the_fir…
Luis Cano 🇪🇸 retweeted
You don’t retire when you turn 65. You retire when your compounding assets work harder than you do.
Luis Cano 🇪🇸 retweeted
Wall Street, on European time. 🇪🇺
Tokenized U.S. stocks and ETFs have officially arrived in the Crypto.com App for EEA users.
Get round-the-clock price exposure to major U.S. assets—day, night, or weekend.
📲 Explore: crypto.onelink.me/ADTi/zirvi…
Luis Cano 🇪🇸 retweeted
dogecoin:native has lost 30% of its value from June, during the same period, AlphaNet's Hackworth Prime DOGE strategy did the heavy lifting for our users and delivered a pure alpha return of 14.2%
Read more in our newest newsletter:
alphanet-info.github.io/Stra…
Luis Cano 🇪🇸 retweeted
AlphaNet team's paper on traditional alpha generation approaches vs. deep learning architectures <<Alpha Mining vs Deep Learning: A Controversial Dilemma in Quantitative Trading>> has been adopted as a key role into the official AI trading framework by the research department of securities arm of Industrial Bank (China), one of the largest banks in China. Read their published article on the framework here:
mp.weixin.qq.com/s/tf7MI_mfr…
Original paper:
alphanet.global/Alpha%20Mini…
Luis Cano 🇪🇸 retweeted
June has not been a good month for the market, with market wide dump and privacy assets (ie. zcash:native monero:native) panic selling. However AlphaNet has navigated it to be one of its best.
First time ever we have almost 50% of Hackworth Series strategies in the leaderboard, with hyperliquid:native zcash:native monero:native and ethereum:0x514910771af9ca656af840dff83e8264ecf986ca strategies with extraordinary returns given the environment, with even delivering alpha on a bearish solana:So11111111111111111111111111111111111111112 .
One interesting observation - in different market conditions, strategy type matters. Hackworth OptimaShort (mean reversion and short-bias) strategy variant delivered the highest average returns, whereas Prime still performed spectacularly, and Trend still holding up well despite having increased long and fat-tail bias.
AlphaNet continues to be the SOTA trading platform - stay tuned for the points and the newly revamped guild system coming this week.
Luis Cano 🇪🇸 retweeted
$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…
🤖 Made with AI
Luis Cano 🇪🇸 retweeted
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…
Luis Cano 🇪🇸 retweeted
Big market-wide downturn yesterday - many AlphaNet strategies doing the heavy-lifting and capitalizing via multiple shorts, taking profit along the way.
Hackworth Series strategies balances the alpha from a variety of sources, beating the market in terms of risk-adjusted return and resilient across market regimes. Build your own portfolio of strategies ("strat of strats") for a smoother PnL curve.
Luis Cano 🇪🇸 retweeted
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…
Luis Cano 🇪🇸 retweeted
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!
Luis Cano 🇪🇸 retweeted
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.
Luis Cano 🇪🇸 retweeted
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.
Luis Cano 🇪🇸 retweeted
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…
Luis Cano 🇪🇸 retweeted
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…
