QuantSonar Python SDK
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QuantSonar 官方 Python SDK —— A 股行情、财务、资金流、筹码、龙虎榜,38 个数据接口,一个 API Key 全部拿到。
安装
pip install quantsonar
快速开始
import quantsonar as qs
qs.set_token("qs_你的密钥") # 免费注册: https://quantsonar.com/register
# 贵州茅台 2026 年以来的日线(返回 pandas.DataFrame)
df = qs.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
qs.fundamentals(symbol="600519.SH", trade_date="20260710")
qs.income(symbol="600519.SH", period="20251231")
qs.moneyflow(trade_date="20260710")
qs.top_list(trade_date="20260710")
# 指数与外汇
qs.index_daily(symbol="000300.SH", start_date="20260101")
qs.fx_daily(start_date="20260101")
# 实时行情与快讯
qs.realtime(symbol="600519.SH,300750.SZ")
qs.news_flash(source="cls")
- Key 也可以放环境变量
QUANTSONAR_TOKEN,省去set_token - 全部接口一览:
qs.endpoints()(方法名 / 路径 / 中文说明) - 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)
错误处理
from quantsonar import QuantSonarError, RateLimitError
try:
df = qs.daily(symbol="600519.SH")
except RateLimitError as e: # 超出限速(429)
print(e, "建议等待:", e.retry_after, "秒")
except QuantSonarError as e: # 其他错误,中文说明
print(e.status, e)
多账号 / 自定义
from quantsonar import QuantSonar
client = QuantSonar(token="qs_另一把密钥", timeout=60)
df = client.daily(symbol="000001.SZ", start_date="20260101")
定价
免费 100 次/天,无需信用卡。付费档全部数据不分级,只按调用量计费 —— 定价页。
Metadata
Release files for quantsonar 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| quantsonar-0.1.2.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quantsonar-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.3 kB
Release files / quantsonar-0.1.2.tar.gz
| Download URL | quantsonar-0.1.2.tar.gz |
|---|---|
| Size | 8.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Aug 8, 2026.
Transparency logRelease files / quantsonar-0.1.2-py3-none-any.whl
| Download URL | quantsonar-0.1.2-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5fbae60e5eb4257e6bfeae2910a307de06fc27c0ae0759339083382db6b11d6a
|
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BLAKE2b-256 checksum How to use checksums |
ad2c860e4cb05877a634a7e961ef6131bb466728e266dc36944bfcb8f591b711
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 8, 2026.
Transparency log