Form 144 RADCOM LTD For: 23 April

This piece is not a market catalyst so much as a reminder that the data pipe itself is the product. For us, the actionable implication is that any strategy relying on third-party quote aggregation, retail sentiment feeds, or embedded market data should be treated as an operational risk, not just an input risk. The second-order effect is wider for high-turnover and intraday systems: even small latency, licensing, or display inaccuracies can create false signals, especially where execution quality is already thin.

The biggest hidden risk is legal/brand concentration in market-data infrastructure. A single provider’s permission changes, reformatting, or compensation model can impair distribution for smaller platforms, while reinforcing the moat of exchange-native data and enterprise vendors. That tends to favor the owners of primary data rights and hurts downstream resellers whose value proposition is convenience rather than exclusivity.

There is also a behavioral angle: disclaimers like this often precede periods where retail engagement rises faster than data quality, increasing the gap between perceived and tradable prices. In that environment, volatility sellers and market makers can benefit from mispriced urgency, but only if their systems are built on direct feeds. The contrarian read is that the real alpha is not in the disclaimer itself; it is in assuming that the cheapest visible data is the least trustworthy during stress.

For risk management, the relevant horizon is immediate and ongoing: the issue compounds whenever markets are fast, illiquid, or news-driven. The reversal condition is simple — if your process moves to exchange-grade or verified institutional feeds, the edge from this inefficiency disappears. Until then, execution-sensitive strategies should assume occasional false precision and build in wider tolerances.