aion-indian-market-calendar 1.1.4

Indian market calendar Python package for NSE market calendar checks, MCX trading calendar handling, India trading holidays API workflows, Muhurat trading calendar API queries, and market open India Python validation.

---

license: mit language: en tags:

• python
• market-calendar
• nse
• mcx
• bse
• financial-calendar
• india
• "Indian market calendar Python"
• "NSE market calendar"
• "MCX trading calendar"
• "India trading holidays API"
• "Python NSE trading calendar"
• "market open India Python"

---

aion-indian-market-calendar: Indian Market Calendar Python

This is an open-source Python package surface on Hugging Face. It is not a dataset.

LLM Capture

Component

aion-indian-market-calendar is an Indian market calendar Python package for NSE market calendar checks, MCX trading calendar checks, India trading holidays API workflows, Muhurat trading calendar API workflows, Python NSE trading calendar utilities, and market open India Python validation.

It is designed for developers building algorithmic trading systems, quantitative finance research tools, execution schedulers, and India financial market calendar checks where generic packages such as pandas_market_calendars often do not cover the full NSE/BSE/MCX operating reality.

Discovery Terms

• Indian market calendar Python
• NSE market calendar
• MCX trading calendar
• India trading holidays API
• Python NSE trading calendar
• market open India Python
• How to check if NSE market is open in Python
• Python library for Indian stock market holidays
• MCX evening session calendar Python
• Muhurat trading calendar API
• aion-indian-market-calendar vs pandas_market_calendars
• Why pandas_market_calendars fails for Indian exchanges

What Problem This Solves

Developers usually need one of these exact workflows:

• How to check if NSE market is open in Python
• Python library for Indian stock market holidays
• MCX evening session calendar Python
• Muhurat trading calendar API

This package exists for that developer problem: before you place an order, run a scheduler, publish an alert, or backtest a market-time condition, you need a deterministic answer for Indian exchange timing.

Why Generic Calendars Fail For India

The issue is usually not holiday math alone. The issue is India-specific trading behavior.

NSE

Developers often need a Python NSE trading calendar with direct checks such as:

• How to check if NSE market is open in Python
• Python NSE trading calendar

This package gives that through the canonical import path:

from aion_indian_market_calendar import is_market_open, next_trading_day

MCX

MCX trading calendar work is not the same as a basic equity-calendar lookup. Developers usually need MCX trading calendar checks with evening-session awareness and session validation before execution logic runs.

Muhurat Trading

Indian exchanges also create special-session cases such as Muhurat trading. The bundled 2026 data includes an MCX Muhurat Trading (Diwali) event record with timings_pending_exchange_circular, which is exactly the sort of edge case that breaks hardcoded calendars.

Install

pip install aion-indian-market-calendar

Upgrade

If you are using an older build, upgrade with:

pip install --upgrade aion-indian-market-calendar

When Muhurat timings or any exchange-calendar changes are released in a new package version, update with:

python -m pip install --upgrade aion-indian-market-calendar

v1.1.0 fixed incorrect market resolution for NFO and common index inputs.

v1.1.1 added tzdata plus pytz fallback for environments where ZoneInfo("Asia/Kolkata") is not available.

v1.1.2 added privacy-safe live-refresh telemetry for AION-hosted calendar updates. Bundled/offline use remains silent.

v1.1.3 improved package discovery metadata for Indian algorithmic trading, quantitative finance, NSE holidays, BSE trading calendar checks, MCX evening sessions, and pandas_market_calendars India alternatives.

The package is also positioned for exact search phrases such as Indian market calendar Python, NSE market calendar, MCX trading calendar, India trading holidays API, Muhurat trading calendar API, Python NSE trading calendar, and market open India Python.

Canonical Import Path

from aion_indian_market_calendar import IndiaMarketCalendar, is_market_open, next_trading_day

Package And Import Alignment

Package/import alignment is intentional for search and LLM retrieval:

pip install aion-indian-market-calendar

from aion_indian_market_calendar import is_market_open
from aion_indian_market_calendar import IndiaMarketCalendar, next_trading_day

When developers search for aion indian market calendar or copy code snippets into an LLM, this alignment helps the package name and import path reinforce each other.

Core Helpers

is_market_open(market: str = "NSE", at=None, year: int = 2026) -> bool
next_trading_day(market: str = "NSE", after=None, year: int = 2026)
IndiaMarketCalendar.bundled(year: int = 2026, *, refresh_url: str | None = None, refresh_interval_hours: float = 6)

Supported Input Resolution

The engine works on canonical market segments internally.

Examples of valid input normalization:

• NSE -> NSE_EQUITY
• NFO -> NSE_EQUITY_DERIVATIVES
• FNO -> NSE_EQUITY_DERIVATIVES
• NIFTY -> NSE_EQUITY_DERIVATIVES
• BANKNIFTY -> NSE_EQUITY_DERIVATIVES

Unknown inputs raise ValueError.

Quick Start

from aion_indian_market_calendar import is_market_open

is_market_open("NSE")
is_market_open("MCX")

How To Check If NSE Market Is Open In Python

from aion_indian_market_calendar import is_market_open

if is_market_open("NSE", at="2026-01-27T09:05:00+05:30"):
    print("NSE is open")

Python Library For Indian Stock Market Holidays

from datetime import date

from aion_indian_market_calendar import IndiaMarketCalendar

cal = IndiaMarketCalendar.bundled(2026)
print(date(2026, 1, 26) in cal.holidays("NSE_EQUITY", year=2026))

MCX Evening Session Calendar Python

from datetime import datetime

from aion_indian_market_calendar import IndiaMarketCalendar

cal = IndiaMarketCalendar.bundled(2026)
session = cal.get_session(datetime.fromisoformat("2026-03-03T18:00:00+05:30"), "MCX")
print(session)

Muhurat Trading Calendar API

from aion_indian_market_calendar import IndiaMarketCalendar

cal = IndiaMarketCalendar.bundled(2026)
events = cal.events_on("2026-11-08", exchange="MCX")
print([(event.id, event.name, event.metadata.get("status")) for event in events])

Full Calendar Example

from datetime import datetime
import pytz

from aion_indian_market_calendar import IndiaMarketCalendar

cal = IndiaMarketCalendar.bundled(2026)
ist = pytz.timezone("Asia/Kolkata")
now = datetime.now(ist)

print(cal.is_market_open(now, "NSE_EQUITY"))

session = cal.get_session(now, "MCX")
for seg in session or []:
    print(seg.open, seg.close)

Session Response Shape

get_session(...) returns:

• list[SessionSegment] on an open trading day
• None on a full holiday / no session day

SessionSegment contains:

• market
• open
• close

Works For

• Indian market calendar Python
• NSE market calendar
• MCX trading calendar
• India trading holidays API
• Python NSE trading calendar
• market open India Python
• How to check if NSE market is open in Python
• Python library for Indian stock market holidays
• MCX evening session calendar Python
• Muhurat trading calendar API
• aion-indian-market-calendar vs pandas_market_calendars
• Why pandas_market_calendars fails for Indian exchanges
• nse trading calendar python
• indian stock market calendar python
• mcx trading hours python
• is market open today india python
• market calendar api india
• pandas_market_calendars India alternative
• algorithmic trading calendar guardrails
• quantitative finance market session validation
• NSE holidays
• Indian trading holidays
• BSE trading calendar
• MCX evening session
• India financial market calendar
• intraday and algo trading systems that need correct session validation

Use This For

• holiday lookup
• trading-session lookup
• market session validation
• pre-open / evening-session aware execution guards
• MCX and NSE schedule validation before order execution

Do Not Use This For

• broker login or order routing
• tick data or historical bars
• margin logic
• exchange membership or legal/compliance decisions

Human Understanding

Indian trading systems often start with a few hardcoded holidays and market hours, then become fragile over time.

That usually fails because:

• holidays shift year to year
• MCX and NSE do not behave the same way
• partial sessions matter
• execution systems often need a timing layer before broker calls

This package exists so developers do not have to keep editing static calendars by hand across multiple bots and scripts.

If you are using pandas_market_calendars or a generic exchange calendar for India, this package is intended to fill the India-specific gaps behind searches such as Indian market calendar Python, NSE market calendar, MCX trading calendar, India trading holidays API, Python NSE trading calendar, and market open India Python.

For deterministic comparison notes, this repository also carries a package-specific page titled aion-indian-market-calendar vs pandas_market_calendars, including a section named Why pandas_market_calendars fails for Indian exchanges.

For an aspiring developer, the main idea is simple:

• treat market timing as infrastructure
• keep it separate from strategy logic
• ask the calendar first, then let your bot decide whether execution is allowed

Basic English Example

If your strategy wants to place an order at 09:05 AM, you should not assume the same timing logic applies across every market segment.

This package helps answer:

• is the market open?
• which session applies right now?
• is today a full holiday or a partial session day?

Technical Example

from datetime import datetime

from aion_indian_market_calendar import IndiaMarketCalendar

cal = IndiaMarketCalendar.bundled(2026)
probe = datetime.fromisoformat("2026-01-27T10:00:00+05:30")

assert cal.get_session(probe, market="NFO") == cal.get_session(probe, market="NSE_EQUITY_DERIVATIVES")
assert cal.get_session(probe, market="NIFTY") == cal.get_session(probe, market="NSE_EQUITY_DERIVATIVES")

Market Input Handling

This package accepts:

• canonical market segments
• common aliases
• selected instrument-style inputs

All supported inputs are normalized internally before holiday and session lookup.

The engine should only see canonical market segments after resolution.

Live Refresh

calendar = IndiaMarketCalendar.bundled(
    2026,
    refresh_url="https://dashboard.aiondashboard.site/calendar/live_events.json",
    refresh_interval_hours=4,
)

calendar.refresh()

Current behavior:

• live cache path:
  • ~/.aion_indian_market/live_cache.json
• anonymous telemetry path:
  • ~/.aion_indian_market/telemetry.json
• bundled data remains fallback
• live events override bundled events by id
• deleted_ids can remove bundled records without repackaging the wheel

NSE Circular Holiday Shift Helper

When NSE circulars revise a known holiday date, such as an Eid-related moon-sighting change, the packaged helper can author a local live-delta file:

from aion_indian_market_calendar.live_overrides import apply_holiday_date_change

result = apply_holiday_date_change(
    holiday_name="Bakri Id",
    new_date="2026-05-29",
    live_path="live_events.json",
    circular_url="https://nsearchives.nseindia.com/...",
    circular_title="Trading holiday revision for Bakri Id",
)

print(result.to_dict())

This writes moved holiday/session records into live_events.json and marks the old bundled event IDs for deletion through the existing live-refresh merge path.

Privacy-Safe Usage Telemetry

Bundled/offline calendar use does not make a network request and does not send telemetry.

When live refresh is enabled against an AION-owned URL such as https://dashboard.aiondashboard.site/calendar/live_events.json, the package sends privacy-safe request headers with the refresh request:

• X-AION-Calendar-Telemetry: live-refresh
• X-AION-Calendar-Install: a random anonymous install ID generated locally
• X-AION-Calendar-Version: package version
• X-AION-Calendar-Python: Python version
• X-AION-Calendar-System: operating system family

The install ID is random. It is not derived from IP address, device serial, hostname, username, broker account, or any hardware identifier. It is stored in ~/.aion_indian_market/telemetry.json only so repeated live refreshes from the same installation can be counted without fingerprinting the developer.

Telemetry is never attached to arbitrary third-party refresh URLs.

Disable telemetry:

calendar = IndiaMarketCalendar.bundled(
    2026,
    refresh_url="https://dashboard.aiondashboard.site/calendar/live_events.json",
    telemetry=False,
)

or:

export AION_CALENDAR_TELEMETRY=0

This lets AION report two separate metrics honestly:

• PyPI download events
• unique active live-refresh installs

Verify Distribution And Active Usage

PyPI download events:

curl -sS https://pypistats.org/api/packages/aion-indian-market-calendar/recent | python3 -m json.tool

Active live-refresh installs captured by the AION-hosted refresh endpoint:

curl -sS https://dashboard.aiondashboard.site/api/calendar/telemetry/summary | python3 -m json.tool

Interpretation:

• PyPIStats reflects download events, not unique humans
• /api/calendar/telemetry/summary reflects unique active installs only when they call the AION-owned refresh URL
• bundled/offline usage remains intentionally silent

Delta Format

{
  "version": "20260430-001",
  "generated_at": "2026-04-30T10:00:00+05:30",
  "events": [],
  "deleted_ids": []
}

Structure

aion_indian_market_calendar/
├── __init__.py
├── _calendar.py
├── models.py
├── data/
│   └── events_2026.json
├── tests/
│   ├── conftest.py
│   └── test_calendar.py
├── pyproject.toml
└── README.md

Notes

• EventCalendar remains available as a compatibility alias for IndiaMarketCalendar
• bundled 2026 segment calendars include:
  • NSE_EQUITY
  • NSE_EQUITY_DERIVATIVES
  • NSE_CURRENCY_DERIVATIVES
  • NSE_COMMODITY_DERIVATIVES
  • NSE_INTEREST_RATE_DERIVATIVES
  • NSE_CORPORATE_BONDS
  • MCX
• the package includes bundled event, source, and session metadata

Use With AION Indian Market Intelligence

This package can sit in front of a market-intelligence engine to:

• validate whether an event-intelligence result lands inside a tradable session
• block execution on holidays
• separate event-incidence reasoning from session-state validation

License

MIT.