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

Team reviewing algorithm-driven dashboards

Algorithmic approach

Our system ingests large volumes of market data and processes it using multiple algorithmic filters. This ensures that recommendations you receive aren’t based on manual opinion but are a result of unbiased, real-time computations. Data sources are carefully selected and reviewed regularly to ensure reliability. The approach adapts to market volatility but is never designed to promise specific results. Instead, you receive actionable insights tailored to your user profile. Every step of the analysis is logged and tested to continually refine model accuracy, always with user transparency in mind.

Ensuring transparency and compliance

Compliance-focused team reviewing financial policy

Maintaining user trust

Transparency is at the center of our methodology. Users are informed at each stage, from initial sign-up to ongoing notifications, about how signals are generated. All algorithms are deployed with local South African regulations in mind, and every data exchange is encrypted. Compliance audits are performed regularly. Users are encouraged to reach out if anything in our methodology is unclear—our support team addresses every question without bias. APR rates, applicable fees, and terms are communicated up front and reviewed frequently to maintain accuracy.

Steps behind every automated recommendation

From data intake to transparent signal delivery, here’s our step-by-step process designed to keep you informed.

1

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.

2

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.

3

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.

4

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.