pynisa

Fetch NISA account trading rankings from major Japanese securities brokerages.

Note on ranking frequency: Rakuten rankings are updated monthly (around the 2nd of each month), while SBI rankings are updated weekly. This means SBI data changes every week, but Rakuten data only changes once a month. Historical queries reflect these different update cycles.

Installation

pip install pynisa

Quick Start

Python API

import pynisa

# Fetch top 10 NISA stock ranking from Rakuten
result = pynisa.ranking("rakuten")
result.data    # pandas DataFrame
result.period  # "2026年2月1日～2026年2月28日"

# US stocks from SBI
result = pynisa.ranking("sbi", "us_stock_buy", count=5)

# Historical ranking (requires database)
result = pynisa.ranking("sbi", date="2026-03-07")

# Force live fetch (skip database)
result = pynisa.ranking("rakuten", live=True)

# Rank history for a ticker
result = pynisa.history("rakuten", "7974")

# List available dates
pynisa.dates("sbi")  # ["2026-03-14", "2026-03-07", ...]

# Sync database manually
pynisa.sync(force=True)

CLI

# JP stock rankings from all brokerages (side by side)
nisa

楽天 (2026年2月1日～2026年2月28日)

rank	change	ticker	name
1	↑	7974	任天堂
2	↑	9432	NTT
3	↓	8306	三菱UFJ
4	↑	7011	三菱重工業
5	↑	5016	JX金属

SBI (2026/3/9 〜 2026/3/13)

rank	change	ticker	name
1	→	8306	三菱UFJ
2	→	7267	本田技研工業
3		9984	ソフトバンク
4	↑	5401	日本製鉄
5	↑	7011	三菱重工業

# US stock rankings from all brokerages
nisa us

楽天 (2026年2月1日～2026年2月28日)

rank	change	ticker	name
1	↑	MSFT	マイクロソフト
2	↓	NVDA	エヌビディア
3	→	SOFI	ソーファイ
4	↑	PLTR	パランティア
5	↓	MU	マイクロン テクノロジー

SBI (2026/3/9 〜 2026/3/13)

rank	change	ticker	name
1	→	NVDA	エヌビディア
2	↑	MSFT	マイクロソフト
3	↑	TSLA	テスラ
4	↓	PLTR	パランティア
5	↑	IONQ	IonQ Inc

# Single brokerage
nisa rakuten
nisa us sbi -n 5

# Output as CSV or JSON
nisa rakuten -f csv
nisa us rakuten -f json

# Historical rankings
nisa rakuten --date 2026-02-28       # specific date
nisa rakuten --last 4                # last 4 weeks, latest first
nisa us --last 4                     # works with asset commands
nisa --last 4                        # all sources, last 4 weeks

# Force live fetch (skip database)
nisa rakuten --live

# Rank history for a ticker
nisa history rakuten 7974
nisa history sbi 8306 -c stock_buy

# Database management
nisa sync                            # download/update database
nisa sync --force                    # force re-download
nisa dates rakuten                   # list available dates
nisa dates sbi -c stock_buy

Supported Brokerages

Database

pynisa maintains a SQLite database of historical rankings, automatically downloaded from GitHub Releases on first use. The database is updated by GitHub Actions:

• Every Monday — captures SBI's weekly update
• 3rd of each month — captures Rakuten's monthly update

The database is stored at ~/.cache/pynisa/nisa.db and auto-synced when stale (> 1 day).

License

MIT