pyjquants 0.2.2

Investor-friendly OOP Python library for J-Quants API

PyJQuants

yfinance-style Python library for J-Quants API (Japanese stock market data).

Documentation | API Spec | Quickstart Notebook

Features

• yfinance-style API: Familiar interface for quantitative analysts
• Lazy-loaded attributes: Data fetched on first access, then cached
• V2 API support: Simple API key authentication
• Type hints: Full type annotations with Pydantic models
• DataFrame integration: Price data returned as pandas DataFrames

Feature Availability by Tier

Feature	Free	Light	Standard	Premium
Daily prices	✓*	✓	✓	✓
Stock info & search	✓*	✓	✓	✓
Financial statements	✓*	✓	✓	✓
Trading calendar	✓*	✓	✓	✓
Earnings calendar	✓	✓	✓	✓
Investor trades (market-wide)	-	✓	✓	✓
TOPIX index	-	✓	✓	✓
Nikkei 225 index	-	-	✓	✓
Index options (Nikkei 225)	-	-	✓	✓
Margin interest	-	-	✓	✓
Short selling ratio	-	-	✓	✓
Short positions report	-	-	✓	✓
Margin alerts	-	-	✓	✓
Sector classifications	-	-	✓	✓
Morning session (AM) prices	-	-	-	✓
Dividends	-	-	-	✓
Detailed financials (BS/PL/CF)	-	-	-	✓
Trade breakdown	-	-	-	✓
Futures	-	-	-	✓
Options	-	-	-	✓

*Free tier has 12-week delayed data

Installation

pip install pyjquants

For development:

pip install pyjquants[dev]

Quick Start

Setup

Get your API key from the J-Quants dashboard and set it:

export JQUANTS_API_KEY="your_api_key_here"

Basic Usage

import pyjquants as pjq

# Create a ticker - data is lazy-loaded from API
ticker = pjq.Ticker("7203")  # Toyota

# Access info (fetched on first access, then cached)
ticker.info.name            # "トヨタ自動車"
ticker.info.name_english    # "Toyota Motor Corporation"
ticker.info.sector          # "輸送用機器"
ticker.info.market          # "Prime"

# Get price history (yfinance-style)
df = ticker.history("30d")        # Recent 30 days
df = ticker.history("1y")         # Last year
df = ticker.history(start="2024-01-01", end="2024-06-30")  # Custom range

# Financial data
ticker.financials           # Financial statements
ticker.dividends            # Dividend history

Multi-Ticker Download

import pyjquants as pjq

# Download multiple tickers at once
df = pjq.download(["7203", "6758", "9984"], period="30d")

Search

import pyjquants as pjq

# Search by name or code
tickers = pjq.search("トヨタ")
for t in tickers:
    print(f"{t.code}: {t.info.name}")

Market Indices

import pyjquants as pjq

# Get TOPIX index
topix = pjq.Index.topix()
df = topix.history("1y")

# Get Nikkei 225
nikkei = pjq.Index.nikkei225()
df = nikkei.history("30d")

Market Information

import pyjquants as pjq
from datetime import date

market = pjq.Market()

# Check trading days
market.is_trading_day(date(2024, 12, 25))  # False (holiday)
market.next_trading_day(date(2024, 1, 1))  # Next open day

# Sector information
market.sectors_17  # 17-sector classification
market.sectors_33  # 33-sector classification

Configuration

Environment Variables

Variable	Description
JQUANTS_API_KEY	Your J-Quants API key (required)
JQUANTS_CACHE_ENABLED	Enable caching (default: true)
JQUANTS_CACHE_TTL	Cache TTL in seconds (default: 3600)
JQUANTS_RATE_LIMIT	Requests per minute (default: 60)

Rate limit tiers: Free=5, Light=60, Standard=120, Premium=500

TOML Configuration

Create ~/.jquants/config.toml:

[auth]
api_key = "your_api_key_here"

[cache]
enabled = true
ttl_seconds = 3600

[rate_limit]
requests_per_minute = 60

Data Models

PriceBar

from pyjquants import PriceBar

bar = ticker.history("1d").iloc[0]
bar.date            # datetime.date
bar.open            # Decimal
bar.high            # Decimal
bar.low             # Decimal
bar.close           # Decimal
bar.volume          # int

API Reference

Main API

Class/Function	Description
Ticker(code)	Stock ticker with .history(), .info, .financials
download(codes, period)	Download price data for multiple tickers
search(query)	Search tickers by name or code
Index	Market index (TOPIX, Nikkei 225)
Market	Market utilities (calendar, sectors)

Models & Enums

Class	Description
PriceBar	OHLCV price data
StockInfo	Stock information
Sector	Industry sector
MarketSegment	TSE_PRIME, TSE_STANDARD, TSE_GROWTH, OTHER

API Endpoint Mapping

PyJQuants provides a Pythonic interface to all J-Quants V2 API endpoints.

Tier legend: (L) = Light+, (S) = Standard+, (P) = Premium only

Equities

J-Quants API	PyJQuants
/equities/bars/daily	Ticker("7203").history("30d")
/equities/bars/daily/am	Ticker("7203").history_am("30d") (P)
/equities/master	Ticker("7203").info / search("トヨタ")
/equities/earnings-calendar	Market().earnings_calendar()
/equities/investor-types	Market().investor_trades() (L)

Financials

J-Quants API	PyJQuants
/fins/summary	Ticker("7203").financials
/fins/dividend	Ticker("7203").dividends (P)
/fins/details	Ticker("7203").financial_details (P)

Markets

J-Quants API	PyJQuants
/markets/calendar	Market().is_trading_day(date) / trading_days(start, end)
/markets/margin-interest	Market().margin_interest() (S)
/markets/sectors/topix17	Market().sectors_17 (S)
/markets/sectors/topix33	Market().sectors_33 (S)
/markets/short-ratio	Market().short_ratio() (S)
/markets/breakdown	Market().breakdown("7203") (P)
/markets/short-sale-report	Market().short_positions() (S)
/markets/margin-alert	Market().margin_alerts() (S)

Indices

J-Quants API	PyJQuants
/indices/bars/daily/topix	Index.topix().history("30d") (L)
/indices/bars/daily	Index.nikkei225().history("30d") (S)

Derivatives

J-Quants API	PyJQuants
/derivatives/bars/daily/futures	Futures("NK225M").history("30d") (P)
/derivatives/bars/daily/options	Options("NK225C25000").history("30d") (P)
/derivatives/bars/daily/options/225	IndexOptions.nikkei225().history("30d") (S)

Rate Limits by Tier

J-Quants V2 API has different rate limits based on subscription tier:

Tier	Requests/min	Monthly Fee	Best For
Free	5	¥0	Testing, learning
Light	60	~¥1,650	Personal projects
Standard	120	~¥3,300	Active trading
Premium	500	~¥16,500	Production systems

Configure your rate limit in environment:

export JQUANTS_RATE_LIMIT=60  # Match your tier

Architecture

PyJQuants follows a Clean Domain-Driven Design:

pyjquants/
├── domain/       # Business logic (Ticker, Index, Market, Futures, Options, models)
├── infra/        # Infrastructure (Session, Cache, Config)
└── adapters/     # API layer (endpoint definitions)

See the Architecture documentation for details.

Development

# Clone repository
git clone https://github.com/obichan117/pyjquants.git
cd pyjquants

# Install with uv
uv sync --all-extras

# Run tests
uv run pytest tests/ -v

# Type checking
uv run mypy pyjquants/

# Linting
uv run ruff check pyjquants/

# Build documentation
uv run mkdocs build --strict

# Serve documentation locally
uv run mkdocs serve

License

MIT License - see LICENSE for details.

Links

• Documentation
• J-Quants API Spec (OpenAPI) - Unofficial OpenAPI 3.0 spec for J-Quants V2
• Quickstart Notebook
• J-Quants Official - Official J-Quants site
• GitHub Repository