Form 144 BEST BUY CO INC For: 29 August

Fusion Media's standard risk disclosure emphasizes the high volatility and capital loss risks associated with trading financial instruments and cryptocurrencies, alongside a crucial caveat for data users: its platform's data is indicative, not necessarily real-time or accurate, and explicitly not for trading purposes. The disclosure disclaims liability for losses stemming from reliance on this information, underscoring the critical need for institutional investors to conduct independent due diligence and verify data from primary sources.

Analysis

The provided text is a standard risk and data liability disclosure from Fusion Media, which carries significant implications for any investor utilizing their platform for market information. The disclosure emphasizes the high-risk nature of trading financial instruments and cryptocurrencies, citing extreme price volatility and the potential for total capital loss, risks that are amplified when trading on margin. Critically for institutional users, Fusion Media explicitly states that its data is not guaranteed to be real-time or accurate, labeling prices as "indicative and not appropriate for trading purposes." This suggests the data is sourced from market makers rather than directly from exchanges. Consequently, the firm and its data providers disclaim all liability for trading losses resulting from reliance on this information, reinforcing that users trade at their own risk. This contractual safeguard places the full burden of due diligence and data verification on the end-user, a crucial consideration for any trading strategy, especially automated or high-frequency systems that rely on data integrity.

Key Decisions for Investors

• Investors utilizing data aggregators like Fusion Media must treat the information as indicative and supplementary, not as a primary source for trade execution or real-time risk management.
• Quantitative and systematic funds should audit their data sources to ensure they are not inadvertently relying on non-tradable, indicative prices for signal generation or execution, which could lead to significant slippage and model decay.
• Before engaging with any data provider, review their terms of service to understand the limitations on data accuracy and liability, and ensure internal compliance and risk frameworks account for these disclaimers.