Phoenix AI

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Phoenix AI

Phoenix AI

@Phoenix_Chain

Applied AI infrastructure for alpha generation. Home of @AlphaNet_AI and PhoenixONE $PHB

Hong Kong เข้าร่วม Aralık 2017
34 กำลังติดตาม76.2K ผู้ติดตาม
ทวีตที่ปักหมุด
Phoenix AI
Phoenix AI@Phoenix_Chain·
AlphaNet AI DEX is now live – first wave of whitelisted users will now be able to access trading. This launch marks a paradigm shift in the crypto trading space – advanced edge and superior alpha will no longer be inaccessible for retail traders. AlphaNet differentiates from the pack from shifting from the main perp DEX talking points to one purely focused on alpha generation value for users. Access the platform here: trade.phoenix.global This launch includes: - AI Algo Execution – Through a proprietary deep learning-based execution engine, optimize for minimal slippage and trading costs, often achieving negative slippage. Automate the order execution process and let our system do the heavy lifting. - Quantative ML Insight Models – Proprietary models that will help you determine and predict trend, market state, market efficiency and optimal entry and exit points ideal for use in leveraged scalping. Freakishly accurate models that adds unprecedented edge to your own edge and trading style. - Click-to-Deploy Quantitative AI Strategies – Choose from an arsenal of quantitative AI strategies engineered for superior risk-adjusted return from a variety of strategy types, assets and market profiles. Deploy and monitor in real-time, or adjust, mix and create your own “strategy of strategies”. Whether you like market neutral, mean reversion or fat-tail heavy strategies, we got you covered and will give you complete freedom of control. In the next week or two, expect 1) more announcements 2) video tutorials 3) new models and strategies 4) more growth & adoption-related news! The future of trading is finally here. Happy new year and see you in 2026! $PHB #AITrading
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Phoenix AI
Phoenix AI@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
Phoenix AI@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
Phoenix AI@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
Phoenix AI@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
Phoenix AI@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
Phoenix AI@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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Phoenix AI
Phoenix AI@Phoenix_Chain·
The token economics change outlined in the proposal will go into effect immediately, with the max supply updated to 76M (a 18% total increase), with 37.5% allocated for holder staking incentives, 37.5% for growth catalysts, and 25% for exchange & liquidity fund.
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Phoenix AI
Phoenix AI@Phoenix_Chain·
Word spreads fast 😄⚡️ x.com/CryptoPainter/…
Crypto_Painter@CryptoPainter

不知道上次说 @AlphaNet_AI 之后有多少人去体验这个 Vibe Trading 了? 刚才看到朋友发的截图,感觉这个收益还算是稳定,3000U,运行12天,收益347U,11.26%的收益率,放在传统量化策略里面应该也算是比较高的了... 所以不得不感叹,似乎我们这种玩中低频量化的老登也要逐步被淘汰了... 感兴趣的赶紧去试一试吧,目前白名单还在窗口期: alphanet.phoenix.global

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Phoenix AI
Phoenix AI@Phoenix_Chain·
Yes
AI Adopt@AIAdoptHQ

🔥 IS VIBE TRADING COMING NEXT? As Vibe Coding becomes mainstream, markets are naturally shifting toward Vibe Trading — automated execution with minimal manual effort. 🚀 With @Phoenix_Chain $PHB & @AlphaNet_AI, users can now: • 1-click deploy AI strategies with full backtesting • Run multiple strategies simultaneously • Optimize through multi-alpha hedging (Hackworth series) • Auto-rebalance with low leverage • Explore here: trade.phoenix.global/strategies 👉 Simply put: no need to trade manually every day — just manage your strategy portfolio and let the system run. If you’ve been grinding manual trading for years with inconsistent results, automated AI quant may be worth considering.

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Phoenix AI
Phoenix AI@Phoenix_Chain·
Thanks for the mention and very perspective analysis. Indeed "vibe trading" is set to overtake manual/discretionary trading in terms of efficacy for most retail traders starting in the next year or two. The caveat is that alpha is always limited capacity - who will have access and what will be the robust platforms available with entire systematic alpha-generation pipelines would be the key question. LLM-based agentic technologies will only be part of that pipeline. Trading is the newest and most challenging frontier for AI - AlphaNet is proud of our differentiated approach and proprietary tech. #vibetrading #AITrading $PHB
Crypto_Painter@CryptoPainter

不得不承认,当 Vibe Coding 逐渐成为每个人的日常之后,在市场中,自然而然就会出现相应的 Vibe Trading... 大胆猜测一下,未来2年内,手动的、主观的交易模式将只会由少数专业交易员使用,而绝大部分市场参与者,将自然而然的转向更为简单且自动化的 Vibe Trading! 听说2026年各大交易所都将正式 推出AI Trading 相关的产品,以 @Phoenix_Chain 推出的 @AlphaNet_AI 为例,目前已经做到了交易产品全面策略化。 你可以在上面做到一键部署 AI 策略,注意不是那种 ChatGPT 为你生成的简单策略,而是经过详细回测并自带 Alpha 盈利因子的多种AI量化策略; 这就相当于用户可以在一个已经成熟的模板上进行自定义,创建多策略同时运行的“策略组合”,官方目前的旗舰策略是一个叫做 Hackworth 的系列,可以实现多alpha对冲,让策略适应市场环境,动态调仓,低杠杆,目前的数据在月度表现上非常稳定。 这基本上就是对传统中低频量化交易者的降维打击了,因为这种玩法不仅比“泥腿子”更高效,同时整体策略跑起来也更稳定,毕竟自己作为海选量化策略的操控者,不用交易,等着慢慢积累收益即可。 总结一下: @AlphaNet_AI 的路线是将顶级量化机构级别的 Alpha 租给用户,实现自动化交易 + 风控 + 交易执行闭环的一条龙; 除此之外,用户还可以针对策略进行管理,趋势与震荡策略形成策略组合之后,理论上可以大幅拉平账户曲线,让收益曲线走的更加稳定与好看。 如果你做了几年的手动交易,总是赚赚赔赔,一年下来没啥进展,真的可以去试试...

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Phoenix AI
Phoenix AI@Phoenix_Chain·
Chinese New Year Strategy Leaderboard is here - if you deployed any of these strategies on AlphaNet then your February PnL would look like this halfway through the month without having done anything. This is what institutional-grade alpha looks like - superior to passive investing, staking, discretionary trading, or buying and holding, on a risk-adjusted return basis. Welcome to institutional-grade vibe trading. #AITrading #quant #vibetrading $PHB
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Phoenix AI@Phoenix_Chain·
$XAU Gold $XAG Silver $GOOGL Google $NVDA Nvidia and $TSLA Tesla RWA Perps now available on AlphaNet. Trade them using AlphaNet's slippage minimizing AI algo execution => OR, wait for the Autopilot AI Strategies (Hackworth Series) for these RWA pairs. #AITrading #RWA $PHB
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Phoenix AI@Phoenix_Chain·
The market is deep red, and AlphaNet Autopilot strategies are either green and producing alpha or holding up decently. The Project Holder Transition program is coming soon. We will be rewarding holders from tokens such as $LINK $DOGE $ZEC $PENGU to transition to AlphaNet and deploy the respective strategies for the token here as an alternative to buy-and-hold. #AITrading #vibetrading $PHB
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