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Monday observations — NIFTY enters May at 24,043 with vol regime in 94th percentile
· 1 months ago · 3 min read · Quantcents Research
5-second read. NIFTY closed Thursday at 24,043 after a 3-day weekend (Maharashtra Day Friday). 30-day realized vol now stands at 23.3% — 94th percentile of the trailing year vs a 1Y average of 13.4%. The last NIFTY weekly expiry was Tuesday 28-Apr (flat: −0.14%, range 0.84%). The week's intraday low was 23,800 on Thursday (a non-expiry session) — recovered 244 points to close. This post describes what the tape printed, nothing about what it should do next.
What the dataset shows
The last weekly expiry (Tue 28-Apr) was a quiet print — open 24,050, close 24,017, range 0.84%. In the table below, 6 of the last 8 NSE weekly expiries closed within ±0.5% of the open. Expiry days have been compressed.
The non-expiry sessions inside the same window were not. Last Thursday alone moved 275 points open-to-low (24,000 → 23,800) before recovering to close at 24,044. Wednesday 22-April reversed 250+ points off the highs. Realized vol has been clustering between expiries, not on them — that is the pattern in the trailing two weeks, observed in the data.
Levels printed in the recent tape
These are descriptive references — historical points the index has touched. They are not trade levels and Quantcents does not publish trade plans.
Lows of the trailing 5 sessions:
- 23,800 — Thursday's intraday low. Touched once, closed above.
- 23,500 — round number sitting near the 50-day moving average.
Highs of the trailing 5 sessions:
- 24,075 — Thursday's intraday high.
- 24,328 — last Tuesday's intraday high.
- 24,581 — 21-April peak (a Tuesday weekly-expiry close).
The index closed Thursday in the middle of its 5-day band.
Cross-reference notes for readers
The next Tuesday is the standing NIFTY weekly expiry day under SEBI's post-2025-09-01 framework. Readers running their own analysis may want to track:
- The first-hour range against the 5-day band — the data shows compressed-range sessions have historically resolved in either direction; we are not forecasting which.
- The 9:30 AM open-interest snapshot — historically a reference point for where weekly-expiry positioning is concentrated.
- Sectoral breadth — last week's drawdown was concentrated in financials and IT; whether that pattern persists or breaks is observable in real time.
| Date | Day | Open | Close | O→C | Range |
|---|---|---|---|---|---|
| 2026-02-17 | Tue | 25,638 | 25,716 | +0.3% | 0.7% |
| 2026-02-24 | Tue | 25,641.8 | 25,460.2 | -0.71% | 1.18% |
| 2026-03-02 | Mon | 24,659.2 | 24,849.8 | +0.77% | 1.46% |
| 2026-03-10 | Tue | 24,280.8 | 24,286.2 | +0.02% | 0.82% |
| 2026-03-17 | Tue | 23,493.2 | 23,558.8 | +0.28% | 1.24% |
| 2026-03-24 | Tue | 22,878.5 | 22,958.4 | +0.35% | 1.77% |
| 2026-03-30 | Mon | 22,549.7 | 22,379.2 | -0.76% | 1.74% |
| 2026-04-28 | Tue | 24,049.9 | 24,016.5 | -0.14% | 0.84% |
NSE moved all F&O expiries from Thursday → Tuesday on 2025-09-01 (SEBI mandate). Pre-2025-09-01 rows show as Thu.
What the dataset is not
This brief is a description of historical prints and a snapshot of realized-vol regime. It is not a forecast, not a trade plan, not a position recommendation, and not investment advice. We do not publish entry, exit, target, or stop levels. Readers should call all expiry dates against the live NSE chain and consult a SEBI-registered investment adviser before any trade.
The next dataset post lands tomorrow at 8:30 AM IST.
Sources & methodology
- NIFTY 5-minute spot bars: ICICI Direct Breeze API →
historical_market_data(DynamoDB), through 2026-04-30 close. - NIFTY weekly expiry calendar: Breeze
get_nse_expiry_dates('NIFTY', year, 'OPTIDX')— sourced from NSE'smeta/foCPV/expireDtsAPI, cached in DynamoDB. Last verified expiry: 2026-04-28. May weekly schedule beyond the monthly settlement (26-May) is not present in our cached NSE response and weeklies typically follow the standing Tuesday rule under SEBI's 2025-09-01 framework — call the dates against the live NSE chain before trading. - Realized vol: log-returns × √252, 30/90/252-day rolling windows.
- Pipeline:
backend/scripts/build_monday_brief.py(uses authoritative NSE expiry calendar — no calendar guesses). - Dataset:
frontend/data/article-monday-brief.json(25.6 KB).
Numbers and methodology open. Educational analysis only.
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