How our automated trade signal service works
AI screening process
We use a combination of advanced AI models and continuous data monitoring to provide actionable trade notifications. Each recommendation is the result of data-driven analysis, kept transparent for our users. Results may vary based on market conditions.
No guarantees: Past performance doesn't assure future results.
How we analyze data
Algorithmic approach
Ensuring transparency and compliance
Maintaining user trust
Steps behind every automated recommendation
From data intake to transparent signal delivery, here’s our step-by-step process designed to keep you informed.
Data collected from trusted sources
We aggregate current market data from reputable vendors and approved partners, carefully selecting streams that contribute accurate inputs.
All data partners are vetted and reviewed quarterly.
Algorithmic screening and review
Our AI engine applies proprietary filters to real-time data, detecting significant events and flagging notable patterns for review.
Each filter is tested and adjusted for accuracy as markets evolve.
Signal delivery with context
Once a signal is generated, our system provides a notification with supporting data, enabling you to interpret findings within relevant market context.
You can control the frequency and type of notifications you receive.
Continuous monitoring and updates
Our team and technology continuously monitor system performance, updating processes to reflect shifting trends and user feedback.
We welcome feedback and routinely refine our models for transparency.