Phoenix AI Labs

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Phoenix AI Labs

Phoenix AI Labs

@Phoenix_Chain

Applied AI infrastructure for alpha generation, home of @AlphaNet_AI.

Hong Kong Katılım Aralık 2017
34 Takip Edilen75.7K Takipçiler
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
As AlphaNet is adding more strategies - users are presented with more diverse choices of alpha. By end of Q2 we expect to have 100+ institutional-grade strategies. How to create an agentic system for user-driven strategy selection and deployment based on personalized goals? This represents the next evolution of AlphaNet's platform => institutional-grade alpha + agentic autonomous personalized systems, currently already in intermediate stages of development. Read our brand new research paper below: "Novel Agentic System for User Preference-Driven Strategy Selection" alphanet.global/Novel-Agentic-…
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
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
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
Not even halfway into April and AlphaNet continues to deliver for users - notably newcomer Hackworth Trend XMR coming in strong within less than 10 days of being online. The odds of generating alpha and beating the market will continue to be in our users' favor. #AITrading #vibetrading #aiquant
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
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
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
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: #vii.-ai-algorithmic-order-execution" target="_blank" rel="nofollow noopener">alphanet-wp.phoenix.global/#vii.-ai-algor…
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
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
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
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.
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
As we learned, a regular overall project review was triggered via Proposal 1 token economics changes, and the issues were assessed in the process. No problem was with Proposal 1 itself, as Phoenix has communicated and outlined with detail the specifics, including voting results with Binance team in advance. We are working to rectify these points ASAP. (4/5)
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
We are aware of the monitoring tag situation and have reached out to Binance to communicate since the day of. Since then, we have pinpointed and assessed the scope of the issue to 1) no significant tech and product-level developments being communicated in past 2 months and 2) subpar community communication on planning, developmental, and governance related issues. (1/5)
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Phoenix AI Labs
Phoenix AI Labs@Phoenix_Chain·
If you see a high-alpha strategy, deploy it when it still has open capacity - as some approach maximum capacity, we will start limiting user capital deployments. #AITrading #vibetrading $PHB
AI Adopt@AIAdoptHQ

Simple @AlphaNet_AI Autopilot example @Phoenix_Chain $PHB now runs SOTA multi-alpha deep learning that adapts across market conditions. Say you like $ZEC but: • Don’t want spot holding risk • Want to profit in down moves • Don’t want to trade manually 👉 Deploy the $ZEC strategy on AlphaNet Autopilot AI runs 24/7 (ROI 4370%, win rate 45%) The system automatically buys & sells, extracting volatility both ways — less dependent on market direction. 🔗 Try it: trade.phoenix.global/strategies

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