Five-year track record, validated with real capital  — see the numbers →
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AI-POWERED TRADING INTELLIGENCE

Disciplined, data-driven trading intelligence for India's investors.

Our mission — help Indian investors stop losing money and start compounding smarter.

Research-driven trade signals with disciplined entry & exit rules and risk overlays — developed and tested over five years on the founders' own capital. Built for India's retail investors.

Tested on the founders' own capital SEBI RA / RIA registration in progress
First Million — Live Desk LIVE
BUY · RELIANCEconv 0.82
entry 2,940tgt 3,180sl 2,860
PORTFOLIO TWIN · NAV▲ +36% XIRR
REALIZED
24%
MAX DD
<18%
ACCURACY
60%
Illustrative interface for demonstration only — not investment advice or a recommendation.
BUILT ON DATA & RESEARCH FROM NSESEBIAMFIEYKnight FrankCRISIL
Problem

Retail participation is soaring. Outcomes aren't.

Millions of new, mobile-first investors are entering India's markets — but most retail strategies break in three predictable ways.

INVESTOR POLL — “WHICH IS YOUR BIGGEST CHALLENGE?”
Stock selection41%
Entry & exit timing33%
Risk management26%
Share of investors citing each as their biggest challenge · recent community poll.
01

Poor or unverified insights

Investors rely on tips, intuition and unregulated advice — without institutional-grade signals validated with real capital.

02

Wrong entry or exit timing

Late entries, early exits, overtrading, FOMO and panic selling — the symptoms of no disciplined execution strategy.

03

No risk discipline

Position sizing, stop-loss logic and downside protection are rarely applied — making avoidable capital erosion routine.

22 crore+ demat accounts (Mar 2026) ~91% of F&O traders lose (FY25) ₹1.05 lakh cr F&O losses (FY25)
Whitespace

Crowded with tools. Empty on strategy.

Tools, execution and education all exist. A verified, end-to-end trading strategy — what to buy, when to act and how to manage risk — does not.

~988

SEBI-registered investment advisers (plus a few thousand Research Analysts) for an investor base of 22 crore+ demat accounts — roughly one adviser for every two million.

SOURCE: SEBI · 2026
96–97%

of FPI and proprietary-desk F&O profits came from algorithmic strategies — the edge belongs to those with institutional-grade systems.

SOURCE: SEBI STUDY · FY24
₹1.05L cr

in net losses by individual F&O traders in FY25 — up 41% year on year, even as participation rose.

SOURCE: SEBI STUDY · FY25
CAPABILITY DIY tools Brokers Finfluencers RA / RIA First Million
Verified signals
Entry & exit timing
Risk discipline
Real-capital validation
Scales to retailplanned
First Million is in development; ticks reflect designed capability, not independently verified outcomes. “Planned” denotes capability not yet live.
Platform

One platform, four engines.

Our AI-powered algorithm pairs real-capital-validated signals with disciplined execution and risk control.

Strategy Engine

Blends ML / AI patterns, momentum, factor, thematic, macro and sentiment drivers into a single conviction score — turning market noise into one clear, ranked decision.

CONVICTION SCORE
Momentum0.78
Sentiment0.64
Factor / macro0.71
Track record

Built and validated over five years — with the founder's own capital.

Developed and tested over five years on the founders' own capital — a booked portfolio return alongside walk-forward-tested, time-stamped strategy results, built for independent verification.

5 yrs
live validation
₹4 Cr
capital deployed
36%+
equity XIRR · backtested
24%
realized return · booked
<18%
max drawdown
60%
signal accuracy¹
Founders' own capital · independent (PaRRVA) verification in progress. ¹Directional signal accuracy on EOD data across 35 large-cap F&O stocks over a 5-year period. Past performance is not indicative of future results; investments are subject to market risk.
Moat

A proprietary desk sits behind every signal.

Every strategy is pressure-tested on our own books before it reaches you. Live trades feed back into calibration — a continuous training loop from real capital into our models.

Innovation Lab

We continuously experiment with new AI / ML strategies under real-capital conditions.

Customer Zero

Only strategies that work on our own books graduate to the platform — de-risking performance and building a moat.

Capital Efficiency

Trading profits provide a free-cash-flow buffer that funds ongoing research and development.

Opportunity

A vast, fast-growing market — and almost no one serving it well.

₹54L Cr+
PMS + AIF AUM, growing 14%+ YoY.
~36%
of cash-equity turnover driven by retail.
33 yrs
median investor age, down from 38.
<1%
of retail served by RA / RIA advisory.
9.5%
household participation vs 45–60% in developed markets.
₹25K Cr
addressable revenue opportunity.
Team

Builders at the intersection of finance and technology.

Ranjan Mathews Samuel
Ranjan M Samuel
CO-FOUNDER & CEO

24+ years across capital markets, technology and startups, with a 5-year verified F&O track record. Built, scaled and exited Taxshila (3x ROI). NCFM- and NISM–Moody's-certified; pursuing SEBI RA / RIA / AIF Cat-3.

LinkedIn ↗
Subrahmanya M Aithal
Subrahmanya M Aithal
CO-FOUNDER & CTO

30+ years architecting large-scale technology platforms across AI / ML, GenAI, cloud-native engineering and secure distributed systems. Previously with Wipro and TCS, leading enterprise SaaS, trading and compliance builds.

LinkedIn ↗
Deepti Lewis
Deepti Lewis
CO-FOUNDER & DIRECTOR

23+ years leading HR across high-growth technology companies, startups and scale-ups. Built and scaled HR functions, partnered with founders and C-suite leaders on culture and strategy and led India centre operations.

LinkedIn ↗
FAQ

Questions, answered.

Build your first million on better information.

Partner with us or request early access to the platform. Tell us a little about you and we'll be in touch.

First Million Fintech

AI-powered trading intelligence that helps Indian investors stop losing money and start compounding smarter.

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© First Million Fintech Private Limited 2026
Not investment advice. Investments in securities markets are subject to market risk; read all related documents carefully. Past performance is not indicative of future results. First Million Fintech does not currently offer regulated services; its product suite is in development and SEBI RA / RIA registration is in progress.