#backtest live consistency
6 related articles
·3 min
NautilusTrader: A Production-Grade Quantitative Trading Engine Built with Rust
Deep dive into NautilusTrader, an open-source quantitative trading engine with Rust-native architecture and deterministic event-driven design for backtest-to-live consistency.
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·3 min
GitHub Daily · August 17: The Rise of AI Content Factories and Agent Skill Standards
GitHub Trending Aug 17: MoneyPrinterTurbo leads with 105K stars for AI video automation, Anthropic's 817 Agent security skills signal standardization, and Rust-powered nautilus_trader sets quant benchmarks.
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·4 min
Can AI Discover Alpha? A Deep Dive into Qlib and RD-Agent
Can AI truly discover Alpha automatically? This deep dive into Microsoft's open-source Qlib and RD-Agent reveals the 3 critical backtest pitfalls and 6 overfitting prevention gates every quant researcher needs to know.
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Guided Generative Models: A New Approa…
·2 min
Guided Generative Models: A New Approach to Estimating Extreme Event Probabilities
Guided generative models use guidance sampling to extend generative AI into rare event probability estimation — covering financial risk, climate prediction, and engineering reliability.
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·6 min
DeepSeek Builds Its Own AI Chips: The Strategic Logic and Challenges Behind Compute Independence
DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.
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·6 min
AI Superforecasters: Can Machines Surpass Human Experts at Prediction?
Have AI superforecasters truly arrived? A deep dive into how LLMs challenge human superforecasters in probability calibration, information integration, and scalable forecasting, plus core debates on data leakage, interpretability, and real-world applications.
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