Form 13F Meritas Wealth Management For: 9 April

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Analysis

Markets where participants rely on staggered/aggregated feeds create a persistent rent for low-latency liquidity providers and owners of proprietary tape infrastructure; that rent compounds because it is sticky (installation, regulatory compliance) and scales with notional traded rather than count of clients. Exchanges and market-data gatekeepers should therefore see asymmetric upside when macro volatility or retail episodic flows increase — a 10–30% jump in ADV typically translates to a disproportionately larger lift in real-time feed upsells and connectivity fees.

Regulatory and operational shocks are the primary tail risks. A headline outage or a rule change that forces broader redistribution or caps on market-data fees could compress margins quickly (days–weeks), while a sustained policy push to democratize real-time feeds would be a multi-quarter earnings headwind. Conversely, an increase in cross-asset volatility or a shift of institutional execution back to displayed venues would bolster pricing power over 3–12 months.

Actionable competitive dynamics: incumbents with diversified revenue (exchange fees + clearing + data) are better positioned to absorb compression in one line while monetizing another, and market makers with scale and proprietary flow jukeboxes can expand share during episodic retail churn. Smaller brokers or data resellers that monetize low-margin, delayed feeds are exposed — their economics deteriorate if connectivity becomes a paid feature or if order-routing economics shift.

The consensus underestimates the optionality embedded in real-time connectivity and the knock-on effect of even small increases in volatility on data monetization; investors should treat exchange/data exposure as convex to volatility, while hedging for regulatory repricing which can materialize quickly and non-linearly.

Key Decisions for Investors

• Long ICE (Intercontinental Exchange) equity or 6–12m call spread (buy ICE Jan+12 5–10% OTM calls, sell nearer OTM) — thesis: durable data/clearing mix benefits from volatility; target 2.5x upside vs premium paid; stop if ICE falls 12% from entry.
• Pair trade: long CME (CME Group) + short HOOD (Robinhood) — allocate 60/40 notional, horizon 3–9 months. Rationale: exchanges capture data/connectivity rents during volatility while small retail brokers face margin pressure and regulatory scrutiny; expected asymmetric payoff if ADV rises >15%.
• Long VIRT (Virtu) equity sized as a volatility play into next quarterly results (3 months). Risk: execution/flow normalization — set a 15% trailing stop. Upside: market-making spreads widen with retail spikes, amplifying EPS.
• Event hedge: buy 6–9m put spread on a major exchange (e.g., CME or ICE) to protect against regulatory/data-fee compression (buy 10–20% OTM put, sell deeper OTM). Cost-effective insurance if a policy shock emerges; limits downside while keeping upside exposure.