


Phoenix AI Labs
1.2K posts

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




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%20Mining…

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/strategies?s=H…

AlphaNet wraps up April strong with plenty of alpha for our users 💪 Proprietary quantitative engine + ample AI compute speak for itself. We have over 60+ more strategies being vetted in the pipeline.

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


















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