value300 0.1.0

Python SDK for querying ETF data from value300.cn

value300

Python SDK for querying ETF data from value300.cn.

Install

pip install value300

# With pandas support:
pip install value300[pandas]

Quick Start

from value300 import Value300

client = Value300()

# 1. Single ETF history (by date range)
data = client.get_history("510300", start_date="2026-01-01", end_date="2026-06-30")

# 2. Single ETF history (by days back from today)
data = client.get_history("510300", days=180)

# 3. All ETFs snapshot for a specific date
snapshot = client.get_snapshot("2026-07-08")

# 4. All ETFs snapshot for latest trading day
snapshot = client.get_snapshot()

# As pandas DataFrame
df = client.get_history("510300", days=180, as_dataframe=True)
df_snapshot = client.get_snapshot(as_dataframe=True)

Caching

• Snapshot cache: 500 entries (LRU, keyed by date)
• History cache: 2000 records per ETF code (LRU, keyed by trade_date)

# Check cache stats
print(client.cache_stats())

# Clear caches
client.clear_cache()
client.clear_history_cache("510300")  # specific code only

Rate Limiting

Server-side rate limit: 1000 requests/day per IP. Exceeding returns RateLimitError with daily_limit, used, and retry_after attributes.

from value300 import RateLimitError

try:
    data = client.get_history("510300", days=365)
except RateLimitError as e:
    print(f"Limit: {e.daily_limit}/day, used: {e.used}, retry in {e.retry_after}s")

API Reference

Value300(base_url, timeout, max_retries, snapshot_cache_size, history_cache_size)

Parameter	Default	Description
base_url	https://value300.cn	API base URL
timeout	30	Request timeout (seconds)
max_retries	3	Max retry attempts
snapshot_cache_size	500	Max cached snapshot entries
history_cache_size	2000	Max cached records per ETF code

Methods

Method	Returns	Description
get_history(code, start_date, end_date, days, fields, as_dataframe)	list[dict] or DataFrame	Single ETF historical data
get_snapshot(date, as_dataframe)	list[dict] or DataFrame	All ETFs snapshot for a date
clear_cache()	None	Clear all caches
clear_history_cache(code)	None	Clear history cache
clear_snapshot_cache()	None	Clear snapshot cache
cache_stats()	dict	Cache statistics

Record Fields

Field	Type	Description
code	str	ETF code
name	str	ETF name
trade_date	str	Trading date (YYYY-MM-DD)
open	float	Open price
close	float	Close price
high	float	High price
low	float	Low price
pct_chg	float	Price change percentage
volume	int	Trading volume
amount	float	Trading amount

License

MIT