Get to know our automated process

Selorivantia’s methodology centers on AI-powered analysis tailored to Australian market standards. By monitoring market movements and continually refining algorithms, we aim to provide transparent, unbiased trading signals to accompany users’ independent decisions. Our system adheres to privacy and legal frameworks, uses reputable data sources, and undergoes regular compliance reviews. At every stage, we put user autonomy first. Results may vary, and past performance doesn't guarantee future results.

AI methodology team meeting
Computer displays AI trading analytics

Analytical Approach

All recommendations are produced by advanced AI algorithms, without human bias or interpretation. The system examines current market activity, using clearly defined parameters that prioritize clarity, transparency, and privacy for each user.

Regular updates and security checks ensure relevance and adherence to Australian legal requirements. The platform delivers information—not direct advice—so you can make informed, autonomous decisions based on individual goals.

Team collaborating on AI methodology

How we deliver unbiased recommendations

A transparent process that combines the best of AI, compliance, and user-centered priorities for every decision

1

Market Monitoring and Collection

We automatically gather and review real-time market data from trusted sources to inform each signal.

Primary Goals

Deliver up-to-date information with accuracy and efficiency.

Our Solutions

Aggregate broad, real-world information without restrictions from specific products or funds. A focus on security ensures sensitive data is protected throughout.

Our Methods

We utilize encrypted channels and data validation tools that meet Australian regulatory expectations.

Technology and Tools

Data feeds, secure APIs, validation algorithms, encryption.

Expected Results

Comprehensive, timely data streams underpinning every recommendation.

Data Team
2

Signal Processing and Filtering

Advanced AI models refine and evaluate incoming data against market patterns and user preferences.

Primary Goals

Refine noisy data into actionable recommendations.

Our Solutions

Implement multi-step, algorithmic analysis using user-adjustable parameters. Ensure transparency in each signal explanation.

Our Methods

Run input through a sequence of logic checks, correlation mapping, and consistency reviews, always explainable on request.

Technology and Tools

AI/ML algorithms, analytics, user interface controls.

Expected Results

Filtered, detailed signals available to users real time.

AI Engineering
3

Compliance and Security Assurance

All outputs are reviewed for adherence to privacy, legal, and ethical standards within Australia.

Primary Goals

Uphold trust, compliance, and privacy for users.

Our Solutions

Audit methodologies, run regular compliance checks, protect PII, and maintain clear documentation of processes.

Our Methods

Use legal consultation, access controls, and compliance software to meet Australian standards and update policies as required.

Technology and Tools

Compliance checklists, legal counsel, audit logs.

Expected Results

Compliance certification records, audit history for transparency.

Compliance Officer
4

User-Centric Delivery

User receives signals through a secure, customisable portal, promoting autonomy and decision support.

Primary Goals

Support autonomous, informed trading choices only.

Our Solutions

Push real-time alerts, signal detail, and transparent documentation, but never offer direct investment advice or guarantees.

Our Methods

Deliver information via encrypted web or mobile interfaces while users control alert preferences and access histories.

Technology and Tools

Secure web modules, mobile apps, documentation.

Expected Results

Customisable dashboard and audit trail for every user’s journey.

Product Team