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Tianji DataModel

Tianji 生态的共享数据模型,零外部运行时依赖。

Tianji DataModel 是 Tianji 开源市场研究工具生态的基础约定层,被 tj-symbols / tj-data 等模块复用,保证各包之间的数据格式一致。

特性

  • 不可变数据模型:Symbol / Bar / ReturnPoint / EquityPoint
  • 6 个共享枚举:Market / Exchange / AssetType / Currency / Frequency / AdjustType
  • 统一异常体系:TianjiDataModelError / ValidationError
  • 校验函数:validate_symbol / validate_bar / validate_point_date
  • 离线优先,零外部数据依赖

安装

pip install tj-datamodel

快速开始

from datetime import date
from tj_datamodel import Exchange, AssetType, Symbol, Bar

s = Symbol(
    code="600519",
    exchange=Exchange.SSE,
    suffix="SH",
    market=Market.CN_A_SHARE,
    asset_type=AssetType.STOCK,
    normalized="600519.SH",
)
s.normalized  # "600519.SH"

bar = Bar(
    symbol="600519.SH",
    trade_date=date(2026, 8, 6),
    open=1450.0, high=1488.0, low=1440.0, close=1472.0,
    volume=3_200_000, amount=4_700_000_000,
)

开发

uv sync --group dev
uv run ruff check .
uv run ruff format --check .
uv run pyright
uv run pytest -q

Tianji 生态

Tianji 是一套面向市场研究的可组合开源工具生态。每个子项目都可以独立使用,也可以组合成完整的市场研究工作流。

  • tj-calendar: 离线优先的交易日历
  • tj-symbols: 证券代码标准化与格式转换
  • tj-data: 市场数据适配与本地缓存
  • tj-factors: 技术指标与因子
  • tj-metrics: 绩效指标
  • tj-backtest: 轻量回测
  • tj-research: AI 辅助研究
  • tj-terminal: 综合研究工作台

Disclaimer / 免责声明

This project is for research and educational purposes only. It does not provide investment advice, trading signals, or financial recommendations.

本项目仅用于研究和教育目的,不构成投资建议、交易信号或金融建议。

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