From the first trade to a software company

The milestones, products and recognition along the way, in order. Where an entry has a public source, it is linked.

12 entries shown

  1. At 18

    Starts trading

    Forex, commodities, futures and options across Indian and global markets.

    Milestone
  2. Then

    Learns to build

    Software engineering and data science — enough to write the strategies down as code.

    Milestone
  3. Jun 2016

    Founds X-STOX in Pune

    A company to turn strategies he was already trading into software other people can run.

    Milestone — source: x-stox.com
  4. 2019

    Top 10 Tech Startups Impacting the Markets

    X-STOX named in an industry list of technology startups.

    Recognition
  5. Sep 2020

    ISO 9001:2015 certification

    X-STOX's quality management system certified.

    Recognition
  6. Jan 2022

    Fox Interviewer article

    A contributed piece on AI, retail traders and the risk of tips and scams.

    Media — source: Fox Interviewer
  7. Jun 2022

    International Brilliance Award

    X-STOX named Innovative Fin-Tech Company of the Year at the awards in Goa, run by Hypedge Media with I CAN Foundation.

    Recognition
  8. Mar 2023

    Deccan Messenger startup roundup

    X-STOX listed among fifteen Indian startups on the rise.

    Media — source: The Deccan Messenger
  9. 2023

    Brand Icon, Global Inspiring Leader, Young Tech Entrepreneur

    Brand Icon of the Year (Jul) and Global Inspiring Leader (Oct) for X-STOX; Young Tech Entrepreneur of the Year for Abhilash.

    Recognition
  10. Mar 2025

    Business Talkz feature

    Profiled in the Top Icons of India series, Edition 142.

    Media — source: Business Talkz
  11. Sep 2026

    X-STOX rebuilt around disclosure

    New x-stox.com and a five-product line — each product page states its mechanism, including recovery and martingale logic, before the price.

    Product — source: x-stox.com
  12. 2026

    AI Trading Lab

    Research formalised around strategy engineering, backtesting infrastructure and the question of where ML actually helps.

    Research