What We Track and Why

SwordFluxNova collects data through various tracking technologies to improve our AI financial market analysis tool and provide you with a better experience. We believe in being completely transparent about what information we gather and how it helps enhance our platform's performance.

How This Data Enhances Your Experience

The information we collect directly improves our AI financial analysis platform. For example, when we see that users frequently access certain market indicators, we can prioritize those data points in our algorithm updates. User behavior patterns help us understand which analytical tools provide the most value, allowing us to focus development efforts on features that actually help with financial decision-making.

We also use this data to optimize loading times for different market analysis modules. If we notice users in Thailand typically access Asian market data first, we can preload that information to provide faster insights. This kind of intelligent customization only works when we understand usage patterns across our platform.

Data Retention and Storage

Different types of data are stored for varying periods depending on their purpose and legal requirements. Here's how long we keep different categories of information:

Managing Your Privacy Preferences

You have complete control over how we track your interactions with our platform. Here are the practical ways you can manage your data preferences:

What Happens When You Opt Out

If you choose to reject non-essential cookies, you'll still have full access to our AI financial analysis platform. However, some personalization features won't work as effectively. For instance, we won't be able to remember your preferred chart configurations or suggest analysis tools based on your past usage patterns.

The core functionality remains unchanged – you can still access real-time market data, run AI analysis on financial trends, and use all our analytical tools. You just won't get the customized experience that comes from understanding your individual usage preferences over time.