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Special Founder/Insights

Special Founder

  • Top 0.05% in JEE, IIT Kanpur graduate.
  • Hedge fund quant. Managed $750K. 35% APY Delta-Neutral.
  • Ex-founder, built something cool in crypto: Timelock (Perpetual Options).
  • 100%+ returns trading options using Stocky AI (it works!).
  • 50%+ returns trading events on Polymarket.
  • Team trades crypto, forex, weather, and almost every market.
  • 12+ hours screen time; trading is my/our hobby.
  • Founder-led marketing: 200k+ views on LinkedIn, 9k followers, $2k MRR digital products.

Thesis 1: Democratizing Data & Compute

Problem: Increasing Globalisation + Information velocity → Noise, Information Asymmetry → Risk.

  1. Institutions can afford an edge in data & compute → extract money from retail.
  2. 90% participants → Loss. 10% → Profitable. Only 2% from India. Rest are foreign institutions extracting capital from the country.

Trading is not a discipline or a skill problem. Its a information problem.

Stocky Terminal – India's Bloomberg

Global Intelligence Dashboard (God's Eye View):

Stocky Terminal — God's Eye View

  • Real-time news (RSS + Scraping)
  • Twitter
  • Satellite data & trade route monitoring
  • Live ship, Flight tracking, supply chain disruptions.
  • Weather: monsoon, temperature, wind patterns
  • Macro: Wars, FED news, Regulatory changes

+ AI → Filter noise + Generate signal

Business Model

Information + AI → Signal → More trades + Better risk management.

  • Sub Broker: Monetize extra volume.
  • B2B API: Data streams to hedge funds, reinsurance & consulting companies.
  • AI Native Broker: Rethink trading UX (Sahi → UX-led disruption).
  • B2C Subscriptions.

Nationalist Goal

Store, process & handle large data over time. Fine-tune AI models.

Become India's Palantir.


Thesis 2: Trading → Fun game/Gambling

New accounts ↓. Trading is being viewed as a serious business where only top institutions make money.

  • RMG out → gambling capital needs a new platform.
  • Make trading a cool, fun, social game.
    • High adrenaline, casino-style UX (addiction loops).
    • App open → trade open → close in 15–30 mins.
    • Social capital: gamified UX, social trading, chat, share PnL.
  • Replace Instagram scrolls with trading.
    • Replace a 15-min reel session with trading.
    • Reduce decision fatigue to trade.
    • No. of trades ↑. Trade duration ↓ → Brokerage ↑ Loss ↓
  • Edge in commodities:
    • Non-competitive market.
    • All-day markets vs 6 hours.
    • Globalisation → Trade commodities, forex & US stocks.

Stocky Fun

Stocky Fun — Real-time AI Trading

Real-time vision API to signal the next move (up or down).

Note: The target of AI is not to be 100% profitable, only to aid the research-to-trade workflow and reduce it to under 1 minute.

Analogy: Matiks is an example of creating a new user behaviour to solve math instead of scrolling Instagram.


Proof of Work


AI Native Hedge Fund

Y Combinator put out a RFS for a AI Native Hedge Fund.

Stocky AI — Trading Stats

Stocky stats:

  • 15L to 31L in 9 months
  • 69% win rate
  • Sharpe Ratio: 2.29

Given past returns and already incoming interest, can explore a PMS or a AIF CAT III in India.

Will apply to YC, focus on commodities.

stockytradingfounder

Frequently Asked Questions

AI-generated

What is Stocky AI's Thesis 1?

Democratizing Data & Compute — hedge funds hold an edge in data and compute, extracting money from retail traders. Stocky Terminal aggregates 100+ news sources, satellite data, weather, and macro into one dashboard, with AI to filter noise and generate signals. Goal: become India's Palantir.

What is Stocky AI's Thesis 2?

Trading as a fun game — with RMG banned, gambling capital needs a new platform. Stocky Fun makes trading feel like a high-adrenaline game with AI signals, social features, and sub-15-minute trades that replace Instagram scrolling.

What makes Stocky AI's founder unique?

Charandeep Kapoor: IIT Kanpur (top 0.05% JEE), hedge fund quant ($750K managed, 35% delta-neutral returns), ex-crypto founder (Timelock), 100%+ returns with Stocky AI, 100k+ weekly LinkedIn views, 12+ hours daily screen time.