Trading

We trade our own capital across three discretionary strategies: equity options, deep value investing, and prediction markets.

Our approach

Research, conviction,
discipline.

We are a small desk trading our own capital. That alignment frees us from benchmark anxiety and lets us hold positions long enough for theses to play out — or admit we were wrong and move on.

No black boxes, no benchmark hugging. Three uncorrelated strategies sharing one way of thinking.

Research first

We commit capital only after deep work. Filings, models, market structure, primary sources. Conviction is earned, not borrowed.

Risk defined upfront

Every position has a thesis, a size, and a line in the sand. We are patient with winners and quick on losers.

Human judgment

Discretionary by design. Models inform, but humans decide. Each trade reflects a view we can defend.

How we invest

Three strategies,
different by design.

Every dollar we put to work is our own. Each strategy plays a distinct role in the portfolio: uncorrelated edges, all guided by deep research and human judgment.

Implied volatility surface across strike and time to maturity
01Equity Options

Selling volatility with discipline.

Two engines drive every trade: deep fundamental research that sets a price target for each name we follow, and a quantitative read on how its options are priced — where implied volatility sits against the realized volatility we expect.

When we don't own the stock, we sell cash-secured puts struck at our target entry. Either we collect the premium, or we are assigned and step into a company we already wanted, at the price we wanted.

When we hold the underlying, we sell covered calls, leaning in when our volatility models flag implied volatility richer than the realized we forecast. Judging whether that priced-in volatility is actually delivered is the discretionary layer we are paid for.

Time horizon
Tactical
Instruments
Puts & covered calls
Edge
Valuation + vol models
  • Cash-secured puts
  • Covered calls
  • Implied vs realized vol
  • Volatility modelling
Topographic landscape illustrating long-horizon investing
02Deep Value Investing

Hunting multibaggers.

Concentrated long-term positions in companies trading well below their long-run earnings power, and high-growth franchises the market is mispricing.

We read filings, build models, and travel deep into a thesis before deploying capital. Quality, durability, and runway matter more than next quarter's print.

Multi-year holding periods. We let compounding do the heavy lifting and add to winners as conviction strengthens.

Time horizon
3–5+ years
Approach
Concentrated
Edge
Time arbitrage
  • Deep value
  • Quality compounders
  • High-growth
  • Special situations
Algorithmic trading visualization for event-contract markets
03Prediction Markets

Algorithmic edges,
around the clock.

We run algorithmic strategies in prediction markets: systematic models that price event contracts and trade the gaps between our estimates and where the market sits.

The models track contracts continuously, sizing and adjusting positions as new information moves the odds. Execution is automated and runs around the clock.

Risk is managed across correlated contracts — we keep exposure balanced and recycle it as the book turns over, staying systematic rather than betting outright on a single outcome.

  • Algorithmic trading
  • Event-driven
  • Systematic models
  • 24/7 execution
Always on
Algorithmic engine
Time horizon
Intraday
Approach
Algorithmic trading
Execution
Automated
100%
Proprietary capital
3
Active strategies
3–5+
Years on core positions
24/7
Markets covered
Working together

A line for
institutional clients.

If your firm is exploring development, consulting, or advisory work in the areas we cover, drop us a brief and we'll get back to you.

Disclaimer

This page is provided for informational purposes only and does not constitute investment advice, an offer, or a solicitation to buy or sell any security or derivative instrument. Trading equities, options, and event contracts involves substantial risk and is not suitable for every investor. Past performance is not indicative of future results. Alphec Labs operates as a proprietary trading firm with its own capital.