China market data / Financials

FINANCIALS API

China Stock Financial Data API

Built for developers and AI agents, use consistent symbols and reporting periods across statements, indicators and earnings events for screening, fundamental research and model inputs.

Get a free API key Read the API docs

01

Core coverage

Income statements, balance sheets and cash flows

02

Research use

Financial indicators, forecasts and earnings flashes

03

Extended capability

Audit opinions, business composition and disclosure dates

REST API · PYTHON SDK · MCP

One request into your workflow

Every endpoint uses consistent authentication, security symbols and JSON responses, with REST API, Python SDK and MCP access available.

# pip install quantcoda
import quantcoda as qc

qc.set_token("qc_live_your_key")
df = qc.indicators(symbol="600519.SH", period="20251231")

DATA CONTRACT

What this China market dataset includes

Financials is exposed through 10 documented endpoints. Each response preserves exchange-qualified security symbols, explicit trading or reporting dates and stable field meanings so that the same query can be reviewed in code, a backtest or an agent workflow.

/v1/financials/indicators

Financial indicators

Typical filters: symbol, start_date, end_date, period

/v1/financials/income

Income statements

Typical filters: symbol, start_date, end_date, period

/v1/financials/balance-sheet

Balance sheets

Typical filters: symbol, start_date, end_date, period

/v1/financials/cash-flow

Cash flow statements

Typical filters: symbol, start_date, end_date, period

/v1/financials/forecast

Earnings forecasts

Typical filters: symbol, start_date, end_date, period

/v1/financials/express

Earnings flash reports

Typical filters: symbol, start_date, end_date, period

CONSISTENT INPUTS

Symbols and dates that remain explicit

China stock symbols include their exchange suffix, such as 600519.SH, 000001.SZ or 430047.BJ. Calendar dates use YYYYMMDD; financial endpoints distinguish announcement dates from reporting periods.

RESEARCH OUTPUT

JSON for APIs, DataFrames for Python

REST responses use typed JSON values. The official Python SDK converts the same records into pandas DataFrames, while MCP exposes the same authenticated data contract to compatible AI clients.

FIELD-LEVEL DOCS

Inspect meaning before modelling

The documentation lists request parameters, response columns, units and plan requirements for every endpoint. Missing values remain explicit rather than being silently imputed by the API.

AVAILABLE DATA

Financials endpoints

PROFinancial indicators/v1/financials/indicators PROIncome statements/v1/financials/income PROBalance sheets/v1/financials/balance-sheet PROCash flow statements/v1/financials/cash-flow PROEarnings forecasts/v1/financials/forecast PROEarnings flash reports/v1/financials/express PROAnalyst earnings estimates/v1/financials/analyst-reports PROAudit opinions/v1/financials/audit PROMain business composition/v1/financials/main-business PRODisclosure calendar/v1/financials/disclosure-date

EXPLORE THE DATA ATLAS

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