QuantCoda Python SDK
QuantCoda 官方 Python SDK —— A 股行情、财务、资金流、筹码、龙虎榜，45 个数据接口，一个 API Key 全部拿到。
安装
pip install quantcoda
快速开始
import quantcoda as qc
qc.set_token("qc_live_你的密钥") # 免费注册: https://quantcoda.com/register
# 贵州茅台 2026 年以来的日线（返回 pandas.DataFrame）
df = qc.daily(symbol="600519.SH", start_date="20260101")
# 每日指标 / 财务 / 资金流 / 龙虎榜……全部同一姿势
qc.fundamentals(symbol="600519.SH", trade_date="20260710")
qc.income(symbol="600519.SH", period="20251231")
qc.moneyflow(trade_date="20260710")
qc.top_list(trade_date="20260710")
# 指数与外汇
qc.index_daily(symbol="000300.SH", start_date="20260101")
qc.fx_daily(start_date="20260101")
# 实时行情与快讯
qc.realtime(symbol="600519.SH,300750.SZ")
qc.news_flash(source="cls")
- Key 也可以放环境变量
QUANTCODA_TOKEN，省去set_token - 全部接口一览：
qc.endpoints()（方法名、路径、套餐、参数与返回字段） - 单个接口的完整契约：
qc.endpoint_schema("daily") - 参数与返回字段和 在线文档 一一对应；日期统一
YYYYMMDD，证券代码带交易所后缀（600519.SH）
离线接口检索
接口元数据随 SDK 安装包分发，不需要 API Key，也不会发送网络请求：
import quantcoda as qc
matches = qc.search("可转债 实时行情")
info = qc.interface_info("market_daily")
categories = qc.list_categories()
使用已有客户端时也可以调用同名方法：
client.search("可转债 实时行情")
client.interface_info("market_daily")
client.list_categories()
search() 返回确定性排序的 DataFrame；matched_terms 和 unmatched_terms
会明确区分命中的能力与当前元数据没有声明的查询条件，避免人或 AI Agent
把部分匹配误认为完整数据覆盖。interface_info() 同时接受接口 ID、SDK 方法名、
点分别名和 REST 路径，例如 market_daily、daily、market.daily 和
/v1/market/daily。
错误处理
from quantcoda import QuantCodaError, RateLimitError
try:
df = qc.daily(symbol="600519.SH")
except RateLimitError as e: # 超出限速（429）
print(e, "建议等待:", e.retry_after, "秒")
except QuantCodaError as e: # 其他错误，中文说明
print(e.status, e)
多账号 / 自定义
from quantcoda import QuantCoda
client = QuantCoda(token="qc_live_另一把密钥", timeout=60)
df = client.daily(symbol="000001.SZ", start_date="20260101")
定价
免费版 100 次/天，无需信用卡。Pro 开放全部现有标准数据；Expert 包含 Pro 全部能力并提供最高 500 次/分钟的请求频率 —— 定价页。
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