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docs: update README for RD-Agent(Q) (#913)
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@@ -53,6 +53,15 @@ You can inspect the detailed runs of the above results online.
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For running R&D-Agent on MLE-bench, refer to **[MLE-bench Guide: Running ML Engineering via MLE-bench](https://rdagent.readthedocs.io/en/latest/scens/data_science.html)**
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# 🥇 The First Data-Centric Quant Multi-Agent Framework!
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R&D-Agent for Quantitative Finance, in short **RD-Agent(Q)**, is the first data-centric, multi-agent framework designed to automate the full-stack research and development of quantitative strategies via coordinated factor-model co-optimization.
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Extensive experiments in real stock markets show that, at a cost under $10, RD-Agent(Q) achieves approximately 2× higher ARR than benchmark factor libraries while using over 70% fewer factors. It also surpasses state-of-the-art deep time-series models under smaller resource budgets. Its alternating factor–model optimization further delivers excellent trade-off between predictive accuracy and strategy robustness.
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You can learn more details about **RD-Agent(Q)** through the [paper](https://arxiv.org/abs/2505.15155).
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# 📰 News
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| 🗞️ News | 📝 Description |
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@@ -391,7 +400,7 @@ For more detail, please refer to our **[🖥️ Live Demo page](https://rdagent.
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primaryClass={cs.AI}
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}
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```
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# 🤝 Contributing
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