模块 一句话 详见 🔀 能力路由 多数据集(日K/除权/实时/分钟/盘口/财务,持续扩展)按源能力独立路由,任选组合 custom-data-source.md 🔍 选股引擎 25 个内置策略 + 分钟策略 + 自定义信号 + AI 生成,Polars 毫秒级扫全 A 股 strategy.md 📊 指标流水线 MA/EMA/MACD/RSI/KDJ/布林/量比等 68 列指标与信号,一次扫表落盘 enriched Parquet features.md 🧪 回测研究 因子/策略/分钟回测 +…
之后每天运行一次 cne run daily 保持更新。想要更长的历史，或了解 init 具体做了什么，见初始化指南。
Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution.
Polars is an analytical query engine for DataFrames, written in Rust. It is designed to be fast, easy to use and expressive. Key features are:
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
🤗 Datasets is a lightweight library providing two main features:
This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage:
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes