This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.1.1 instead.
Reason given by maintainers: Version numbering adjustment, please use 0.1.0
TickerLab Python SDK
Official Python Client for the TickerLab Quantitative Financial Market Data Platform.
⚡ 快速安装 (Installation)
pip install tickerlab
# 或安装带有 Pandas 支持的完整版：
pip install "tickerlab[pandas]"
🚀 3 行代码快速上手 (Quickstart)
import tickerlab as tl
# 1. 设置您的 API Key (可在控制台 https://tickerlab.org/dashboard 生成)
tl.set_token("mc_live_your_api_key")
# 2. 获取股票日线行情 (自动返回 Pandas DataFrame)
df = tl.get_kline("000001.SZ", period="1d", start="2026-01-01", adjust="qfq")
print(df.tail())
# 3. 获取实时行情快照
snapshot = tl.get_snapshot("600519.SH")
print(snapshot)
# 4. 获取技术指标 (MACD / RSI / KDJ / BOLL / MA)
macd_df = tl.get_indicators("000001.SZ", indicator="macd")
print(macd_df.tail())
📚 常用 API 清单
| 方法 | 说明 | 返回类型 |
|---|---|---|
tl.get_kline(symbol, period='1d', start=None, end=None, adjust='qfq') |
获取历史 K 线时间序列 | pd.DataFrame |
tl.get_snapshot(symbol) |
实时市场行情快照 | dict / DataFrame |
tl.get_daily_basic(symbol, start=None, end=None) |
每日基本面与估值指标 (PE, PB, 换手率, 市值) | pd.DataFrame |
tl.get_indicators(symbol, indicator='macd', period='1d') |
计算技术指标 (MACD, RSI, KDJ 等) | pd.DataFrame |
tl.get_trade_calendar(start=None, end=None) |
交易日历与休市安排 (0-credit 免费) | pd.DataFrame |
tl.search_stocks(query='平安') |
快速代码/拼音/名称搜索 (0-credit 免费) | pd.DataFrame |
tl.get_stock_list() |
全市场股票基础列表 (0-credit 免费) | pd.DataFrame |
tl.get_macro(indicator='cpi') |
宏观经济数据 (CPI, PPI, GDP, PMI, LPR 等) | pd.DataFrame |
tl.get_market_sentiment() |
市场情绪与多空全景概览 | dict |
tl.get_financial_ratios(symbol) |
财务核心比率与财报核心指标 | pd.DataFrame |
tl.query(endpoint, params={}) |
通用底层接口调用 | Any |
🔑 环境变量支持
除了 tl.set_token(...) 外，SDK 会自动检测 TICKERLAB_API_KEY 环境变量：
export TICKERLAB_API_KEY="mc_live_xxxx"
import tickerlab as tl
# 无需手动 set_token，自动从环境变量加载
df = tl.get_kline("000001.SZ")
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