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pynisa

Fetch NISA account trading rankings from major Japanese securities brokerages.

Features

  • Python API — Get ranking data as pandas DataFrames with period metadata
  • CLI — View rankings in beautiful terminal tables, side by side across brokerages
  • Multiple Brokerages — Rakuten Securities (12 categories), SBI Securities (11 categories)
  • Asset Type Commands — nisa, nisa us, nisa cn, nisa fund for quick access
  • Multiple Output Formats — Table, CSV, JSON

Quick Start

pip install pynisa

import pynisa

result = pynisa.ranking("rakuten")
result.data    # pandas DataFrame
result.period  # "2026年2月1日～2026年2月28日"

nisa            # JP stocks from all brokerages
nisa us         # US stocks from all brokerages
nisa rakuten    # Rakuten JP stocks
nisa us sbi     # SBI US stocks

Supported Brokerages

Brokerage Asset Types Update Frequency
Rakuten Securities JP/US/CN/ASEAN stocks, JP/Foreign ETFs Monthly
SBI Securities JP/US/CN stocks, US/CN ETFs, Funds Weekly