tt-a1i/archify
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
01 DAILY RESEARCH SIGNALS / 2026.08.31
把市场噪声
压缩成可研究的信号。
聚合量化论文、开源项目与 AI 工程进展。每条信号经过筛选、排序与结构化，帮助研究者更快抵达真正重要的信息。
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02 CURATED INDEX
今日信号库
按内容类型浏览，或直接搜索标题与标签。
INDEXED 15
01 / REP
GitHub
SELECTED SIGNALS 03
K-Dense-AI/scientific-agent-skills
Turn any AI agent into an AI Scientist.
THU-MAIC/OpenMAIC
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
02 / PPR
论文
SELECTED SIGNALS 07
PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
Large language models (LLMs) have shown strong performance across diverse financial tasks, yet portfolio management (PM) remains poorly benchmarked.
AutoREC: A reinforcement learning platform for equivalent circuit model generation
This paper introduces AutoREC, an open-source Python platform for developing, training, and evaluating reinforcement learning (RL) agents that automatically generate equivalent cir
End-to-End Neural Shrinkage of Indefinite Pairwise Correlation Matrices for Small-Cap-Inclusive Portfolios
Small-cap-inclusive equity universes contain recently listed and intermittently traded securities, so enforcing a common look-back discards a substantial fraction of the available
Agentic Quantitative Trading: A Survey of Workflows, Systems, and Evaluation
Quantitative trading is moving from isolated predictive models toward agentic workflows that combine reasoning, tool use, memory, and feedback.
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
Reinforcement learning with verifiable rewards (RLVR) substantially improves single-sample accuracy (pass@1) but causes the policy's solution space to contract, diminishing the ret
One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows
Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation, app APIs, and function calling.
Data-Driven Stochastic Optimal Control for Intraday Electricity Trading by Renewable Producers
The rapid growth of weather-dependent renewable generation increases price volatility and imbalance penalty risk in power markets, creating the need for advanced quantitative tradi
03 / ART
Article
SELECTED SIGNALS 02
Recent Quant Links from Quantocracy as of 08/31/2026
This is a summary of links recently featured on Quantocracy as of Monday, 08/31/2026.
Recent Quant Links from Quantocracy as of 08/25/2026
This is a summary of links recently featured on Quantocracy as of Tuesday, 08/25/2026.
04 / VID
Video
SELECTED SIGNALS 03
Your coding agent keeps solving the same problem
Learn More: https://bit.ly/4iu7p9F Introducing Building Adaptive AI Agents, a short course built in partnership with Oracle and taught by Nacho Martínez, Data Scientist Advocate at
Agent Memory EXPLAINED - Complete Architecture
Quick case study persistent memory for AI agents featuring Mem0.
Spec-driven development and local AI are a natural pair.
Spec-driven development and local AI are a natural pair: clear specs give smaller models a real shot at the work.