Learn to Value Companies Like an Analyst
Two focused live sessions with a SEBI Registered Research Analyst — pick one, or book both and save.
Valuation of Fintech Companies
"How to Value Companies That Don't Make Money (Yet)"
- Key valuation frameworks used by SEBI Research Analysts — simple explanations
- Case study-led analysis — Paytm, Razorpay, CRED, PB Fintech, Groww, and how analysts arrive at their target prices
- How to understand metrics differently — to know if a business is worth investing into
- How to read a Fintech's P&L differently — understanding burn rate, path to profitability, and when to apply a premium multiple
- Sensitivity analysis
- No prior knowledge of finance or valuation required — built for beginners who want to think like analysts
- Duration: 2–3 hours per live session
- Held every 2nd & 4th weekend — an evening slot on Friday, Saturday or Sunday
- Exact date, timing & joining link will be sent via email and WhatsApp after registration
Valuations — Banking & NBFC
"Why Banks Are Valued on Books, Not Earnings"
- Why P/BV is the gold standard for Banks and NBFCs — the ROE/CoE framework that every analyst uses
- Case studies across the spectrum — SBI vs ICICI vs Bajaj Finance: why the same ROE gets different multiples
- What to read in Banks' financial statements
- PSU vs Private Banks vs NBFCs — structurally different businesses
- Macro factors' impact
- Zero prior knowledge needed — if you can read a newspaper, you can follow this session
- Duration: 2–3 hours per live session
- Held every 2nd & 4th weekend — an evening slot on Friday, Saturday or Sunday
- Exact date, timing & joining link will be sent via email and WhatsApp after registration
Book Both Sessions & Save
Booking both the Fintech Valuation and Banking & NBFC Valuation masterclasses? Use the combined pass to secure both seats together at a special discounted price.
Your options brokerage
this month — what if it was zero?
Every active options trader I speak to is paying ₹5,000 to ₹20,000 per month in brokerage. Every single month. That money leaves your account before you even start counting P&L. There is a way to make that number zero — and I will show you exactly how in this session.
If ₹4,999 feels like too much — options trading may not be for you yet.
If it's nothing compared to your monthly brokerage bill — join me.
What we will cover in this session
How structured algo execution can reduce your options brokerage to effectively zero. For an active trader paying ₹5,000–20,000 per month — this one concept alone is worth attending. Not a trick. Not a loophole. A structural approach that works within the system.
There are key regulatory frameworks that most traders are completely unaware of — rules that, when understood correctly, help you manage risk better, avoid hidden interest charges, and protect your capital. These rules are a boon for serious traders. We will cover them clearly.
The algo trading space is flooded with promises, black boxes, and marketing. The hard truth: the overwhelming majority of algos fail in live markets. The process shared in this session has been developed, refined, and validated — and it is among the rare few that belong in that less-than-1% category. You will understand exactly why — and what separates it from the rest.
You do not need AI to tell you what to trade. But you may need algo to execute with precision. Your strategy. Your rules. The algo fires the orders. You stay in control. We will cover exactly what this means — and what it does not mean.
Backtesting is unreliable. Anyone can make an algo look profitable on historical data — the market doesn't work that way live. This algo has been tested and improved over months of real, live market conditions. Real capital. Real slippage. Real outcomes. That is the only test that matters.
This is not a lecture — it is a conversation. Bring your specific options strategy questions. We will go through them together. Actionable pointers, not theoretical frameworks.
No black box. No mystery. You will understand every parameter, every rule, every decision the algo makes. Complete transparency — because you should always know exactly what is running in your account and why.
Darpan Aggarwal · IIT Kanpur · Ex-Barclays · Ex-RBS · SEBI RA INH000026859
This session is for you if…
Limited seats — book now to confirm your place
Book My Seat — ₹4,999 →
Darpan Aggarwal · SEBI Registered Research Analyst · INH000026859 · Uncover Markets Capital Analytics · GST: 07AJLPA7135Q2ZR
All investment and trading decisions are the sole responsibility of the participant.
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