Form 13G Safe and Green Development Corporation For: 2 October

The provided text serves as a risk disclosure, highlighting the significant inherent risks in trading financial instruments and cryptocurrencies, including potential capital loss and extreme price volatility influenced by external factors. It explicitly states that market data provided may not be real-time or accurate, is indicative, and should not be used for trading purposes, with Fusion Media disclaiming liability for any reliance on this information. This disclosure underscores the importance for investors to be fully informed of market risks, exercise caution, and seek professional advice given the inherent uncertainties and data limitations.

Analysis

The provided text is a standard risk disclosure from Fusion Media, emphasizing the material risks of trading financial instruments and cryptocurrencies. Key points for investors are the explicit disclaimers regarding data integrity; the document states that prices are not necessarily real-time or accurate, are provided by market makers, and are thus indicative and not appropriate for trading purposes. This highlights a significant operational risk for strategies dependent on the platform's data feed for execution. The disclosure also underscores the extreme volatility inherent in certain asset classes, especially cryptocurrencies, and the heightened financial risk from trading on margin. By disclaiming liability for trading losses, Fusion Media places the full burden of due diligence, risk assessment, and data verification squarely on the investor.

Key Decisions for Investors

• Investors should treat data from this provider strictly as indicative and implement a mandatory secondary verification process using primary exchange feeds before executing any trades.
• It is critical to review and reinforce internal risk management frameworks, particularly for strategies involving cryptocurrencies or leverage, to account for the extreme price volatility and potential for total capital loss mentioned.
• Given the explicit disclaimer of data accuracy and liability, any quantitative models or automated systems relying on this data feed must be re-evaluated for potential signal degradation or erroneous execution risk.