Complexity Made Clear
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Complexity Made Clear

Welcome to

Dynamic Derivatives

Equity Markets
Markets & Stock Analyser
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Nifty 50
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Sensex
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Bank Nifty
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NIFTY 50 — Price Chart
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Derivatives
Option Chain
Spot —
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Put-Call Ratio
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Max Call OI Strike
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Max Put OI Strike
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IV Skew ATM
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OI in Lakh contracts · IV = Implied Volatility · ATM = At The Money · Data: Yahoo Finance (15 min delay)
How to read this table
Call OI (green)
High Call OI at a strike = resistance level. Large sellers have written calls there, creating a ceiling. The strike with maximum Call OI is typically the strongest resistance into expiry.
Put OI (red)
High Put OI = support level. Put writers defend these strikes. The Max Put OI strike is the market's floor — institutions have written puts and will try to prevent a close below it.
Put-Call Ratio
PCR >1.2 = excessive pessimism, often a contrarian buy signal. PCR <0.7 = excessive optimism. PCR 0.8–1.1 is neutral.
Implied Volatility
Market's expectation of future volatility. IV spikes before events and collapses after — "IV crush". Selling when IV > historical vol has historically generated edge.
Fixed Income
Bond Markets
G-Secs · SGBs · NCDs · US Treasuries
India Government Securities (G-Secs)
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US Treasury Yields
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Sovereign Gold Bonds (SGBs)
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Corporate NCDs
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Who We Are

Derivatives Research
Complexity Made Clear

Dynamic Derivatives is an educational platform built to give finance enthusiasts access to the same analytical tools used by institutional trading desks — at zero cost.

We publish live derivatives data, educational content, and AI-powered analysis tools tested rigorously on real NSE/BSE data. Our philosophy: data should be transparent, logic verifiable, and education free.

Everything here is for learning. We are not SEBI-registered advisors — we are researchers and students who believe in intellectual rigour and open knowledge.

Shubhamkumar Tate — Founder
Shubhamkumar Tate
Founder · Quantitative Research
🎓 MBA, Indian Institute of Foreign Trade, Delhi
Disclaimer: Dynamic Derivatives is an educational platform. Not SEBI-registered. Nothing here is investment advice. Data may be delayed. Past performance does not guarantee future results.
AI Valuation Engine
DCF Model Builder
Institutional-grade Discounted Cash Flow models with real data via web search
Data Transparency

This engine uses Claude AI with web search to fetch real financials from Screener.in, Tickertape, MoneyControl, and company filings. All assumptions are industry-standard and explicitly labeled. Where data is estimated, the model states so.

Building Model...
Uses web search for real data — typically 45–90 seconds
Searching for financial data
Identifying sector & model
Compiling historical financials
Calibrating assumptions
Building 3-scenario forecasts
Computing WACC & terminal value
Running sensitivity analysis
Writing investment insight