HOW IT WORKS
Ask. It computes. You keep the proof.
Ask in your own words
Type the question as you would say it — or pick one of 15 ready-made analyses and fill in a short form, right in the chat.
Real math runs on real data
Monte Carlo goal odds, expense-gap compounding, manager-alpha regression — computed on the 14,000-scheme dataset, not summarised from articles.
Keep what you can check
Every answer returns charts and tables, collected in the chat’s artifacts panel — and heavier analyses export a PDF report you can save or share.
GOAL PROBABILITY
Will You Actually Hit Your Number?
Ask about a goal — a retirement corpus, a down payment, a child’s education fund — in plain English. A Monte Carlo simulation returns a probability of success, how it shifts as your monthly SIP changes, and how your equity allocation should glide as retirement nears.
Thousands of simulated paths across your SIP, lump sum, and horizon
One honest percentage — not a comforting average-case chart
See exactly how the odds shift as your monthly contribution changes
Equity-to-debt allocation that shifts automatically as the goal nears
DIRECT VS REGULAR
The Expense Gap, in Real Rupees
See what a Regular plan’s higher expense ratio actually costs: the analysis measures the observed return gap between the Direct and Regular versions of the same scheme, then projects that drag compounded over your holding period — in rupees, not basis points.
The observed Direct-vs-Regular gap, projected and compounded over your horizon
Any schemes side by side, across 14,000+ tracked funds
Percentile rank against the scheme’s own category peers, over 3- or 5-year windows
A dedicated analysis models LTCG, exit loads and lock-ins in rupees before you switch
FUND ALPHA
Is Your Fund Manager Skill — or Luck?
The alpha analysis regresses your fund against its benchmark and answers the question fees depend on: is the outperformance real? You get Jensen’s alpha with a statistical significance test — and when the math can’t tell skill from luck, it says exactly that.
Fund and benchmark returns over your window, with Jensen’s alpha annualised
A t-test on alpha — “significant” or “skill vs luck unclear”, never false confidence
How far the fund strays from its benchmark, and whether straying paid
Where the fund ranks against its own category’s peers
Your Funds, Backed by Evidence.
Goal odds, true cost, and portfolio risk — every answer drawn from the same 14,000-scheme dataset, shown in charts and numbers you can check yourself.
14,000+ schemes tracked · Free to start
Analytical output for reference only, not investment advice. Consult a SEBI-registered investment adviser before making decisions.