---
title: "Special Founder/Insights"
date: "2026-01-15"
excerpt: "Two theses for AI-native trading in India: democratizing data & compute, and making trading fun. From the founder of Stocky AI."
tags: ["stocky", "trading", "founder"]
faqs:
  - question: "What is Stocky AI's Thesis 1?"
    answer: "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."
  - question: "What is Stocky AI's Thesis 2?"
    answer: "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."
  - question: "What makes Stocky AI's founder unique?"
    answer: "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."
---

## 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](https://perps.timelock.trade/)).
- **100%+ returns** trading options using Stocky AI ([it works!](/blog/stocky-ai)).
- **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](https://www.linkedin.com/posts/charandeep-kapoor_bloomberg-terminal-costs-30000year-we-activity-7435319882793041920-lbl2), 9k followers, [$2k MRR digital products.](/blog/stocky-story)
---
## 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](https://terminal.stockyai.xyz/) – India's Bloomberg

Global Intelligence Dashboard (God's Eye View):

![Stocky Terminal — God's Eye View](/images/stocky/stocky-terminal-gods-eye.png)

<div style="display: flex; gap: 0.9rem; align-items: center; justify-content: center; flex-wrap: wrap; margin: 1.5rem 0; width: min(1200px, calc(100vw - 2rem)); position: relative; left: 50%; transform: translateX(-50%); color: #1D4ED8;">
<div style="flex: 0 1 auto; width: fit-content; max-width: min(820px, calc(100vw - 2rem)); border: 1px solid #D1D5DB; background: #F3F4F6; border-radius: 10px; padding: 1rem 1.25rem; color: inherit;">

- 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

</div>
<div style="flex: 0 0 auto; width: fit-content; font-weight: 700; font-size: 1.1rem; color: #111827; display: flex; align-items: center; justify-content: center; text-align: center; padding: 0.5rem 0.25rem;">

\+ AI → Filter noise + Generate signal

</div>
</div>

### 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.

- Predict floods, monsoons, earthquakes. Help emergency services.
- [Defense/Intelligence](https://axionorbital.space/research) for GOI.


**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](https://fun.stockyai.xyz/)

![Stocky Fun — Real-time AI Trading](/images/stocky/stocky-fun-btc.png)

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

- **[Timelock Perps](https://perps.timelock.trade/)**: Everlasting Option [perps.timelock.trade].
- **Timelock Options**: Custom expiry, Custom strike options (abandoned).
- **[Stocky LLM](https://llm.stockyai.xyz/)**: ChatGPT for Stock Market.
- **[Voice-powered trading for Zerodha](https://www.linkedin.com/posts/charandeep-kapoor_itc-claude-zerodha-activity-7330161190741987329-Ge1d/)**
- **[Stocky Analyse](https://analyse.stockyai.xyz/)**: Hedge-fund-level trade analysis with AI insights on what's working & what to improve.

---

## AI Native Hedge Fund

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

![Stocky AI — Trading Stats](/images/stocky/stocky-pnl-stats.png)

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.