Alibaba Unveils Third Closed-Source AI Model in Focus on Profit
Alibaba Group Holding Ltd. has released its third proprietary AI model in as many days, reinforcing the company’s intent to focus on profiting off its flagship artificial intelligence services.
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![[R], 31 MILLIONS High frequency data, Light GBM worked perfectly](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-neural-network-P6fqXULWLNUwjuxqUZnB3T.webp)
[R], 31 MILLIONS High frequency data, Light GBM worked perfectly
We just published a paper on predicting adverse selection in high-frequency crypto markets using LightGBM , and I wanted to share it here because the findings are directly relevant to anyone dealing high frequency data and machine learning The core problem we solved: Every market maker's nightmare — getting picked off by informed traders right before a big move. We built a model that flags those toxic seconds before they wreck you. The data: - 31,081,463 second-level observations of BTC/USDT perpetual futures on Bybit - February 2025 → February 2026 (381 raw daily files) - Strict walk-forward regime, zero lookahead bias The key results (this is the part that shocked us): Our TailScore metric — which combines predicted toxicity probability with predicted price move severity — flags the top
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Considering NeurIPS submission [D]
Wondering if it worth submitting paper I’m working on to NeurIPS. I have formal mathematical proof for convergence of a novel agentic system plus a compelling application to a real world use case. The problem is I just have a couple examples. I’ve tried working with synthetic data and benchmarks but no existing benchmarks captures the complexity of the real world data for any interesting results. Is it worth submitting or should I hold on to it until I can build up more data? submitted by /u/Clean-Baseball3748 [link] [comments]
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