Trading
We trade our own capital across three discretionary strategies: equity options, deep value investing, and prediction markets.
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.
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.
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.
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.
- Time horizon
- Tactical
- Instruments
- Puts & covered calls
- Edge
- Valuation + vol models
- Cash-secured puts
- Covered calls
- Implied vs realized vol
- Volatility modelling
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.
- Time horizon
- 3–5+ years
- Approach
- Concentrated
- Edge
- Time arbitrage
- Deep value
- Quality compounders
- High-growth
- Special situations
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.
- Algorithmic trading
- Event-driven
- Systematic models
- 24/7 execution
- Time horizon
- Intraday
- Approach
- Algorithmic trading
- Execution
- Automated
- 100%
- Proprietary capital
- 3
- Active strategies
- 3–5+
- Years on core positions
- 24/7
- Markets covered
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.
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.