Elevate Analytica
We develop advanced financial algorithms that uncover predictive insights across international markets—pushing the boundaries of data science through continuous experimentation and innovation.
Build Your Dream
25 Years Of Undefeated Success
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512+
Successfully Project Finished.
25+
Years of experience with proud
1120+
Revenue in 2017 investment
1520+
Colleagues & counting more daily
Our Solutions
Data Analytics Consulting
Transform raw data into actionable insights.
Business Intelligence
Create clear, visual dashboards and reports for faster decisions.
Our Solutions
Our solutions are centred on the in-house development of advanced financial algorithms designed to model and forecast stock market behaviour. These systems are built through exploratory research and continuous experimentation across diverse global sectors, with a focus on pushing the boundaries of predictive financial analytics.
Financial Algorithm R&D
Advancing the frontier of stock market prediction.
Experimental algorithm development
Time series and volatility modelling
Multi-sector financial simulation
Sentiment-based price prediction
Custom predictive frameworks for equity data
Applied Market Intelligence
Turning financial signals into strategic foresight.
Portfolio risk modelling
Sector rotation signal testing
News and social media sentiment integration
Economic indicator pattern mining
Behavioural finance algorithm prototyping
Data Analytics Consulting
Data Insights
Web development
Predictive Analytics
Reports
Business Intelligence
Genetic protein synthesis for medication
Software for Oil and Gas industry
Dashboards for FMCG
Financial Algorithms
Our Team
Our team is focused on building and testing advanced financial algorithms—turning complex data into meaningful insights about global market behaviour.
Anthony Perera, Founder
A Tracey Horton Scholar, engineer, and MBA with a career shaped by high-pressure roles—from oil rigs to Australia's top betting firm—Anthony applies disciplined insight to financial algorithms that cut through market complexity.
Liam Shi, Data Analyst
With a background in statistics and finance and currently completing a Master of Information Technology in Artificial Intelligence, Liam blends analytical depth and a passion for technology to develop innovative financial algorithms.
Angelo Castillon, Data Analyst
Angelo combines experience at Morgan Stanley Capital International with a passion for analytics. As a business analytics master’s candidate, he helps build algorithms that decode market behaviour.
Industries We Model
Our research explores how financial algorithms perform across diverse industries to enhance market forecasting and decision-making accuracy.
Technology & Innovation
Rapid innovation cycles, venture investment trends, and earnings momentum are key drivers modelled in tech-heavy sectors.
Energy & Resources
Volatility in commodity markets and geopolitical factors make energy a valuable benchmark for algorithm robustness.
Consumer Discretionary
Social sentiment and macroeconomic indicators are evaluated against retail and consumer stock performance.
Healthcare & Biotech
We evaluate how earnings volatility, trial announcements, and regulatory outcomes influence pricing patterns.
Financial Services
Algorithmic models assess capital flows, interest rate sensitivity, and institutional sentiment in banking and insurance.
Public Sector
We explore how fiscal policy, government spending patterns, regulatory changes, and economic stimulus measures influence market behaviour—enabling our algorithms to incorporate macroeconomic policy signals into financial forecasting frameworks.