Agentic AI · Stock price prediction
Predicting stock price movement
with 15 autonomous agents_
Algorithmic Research is an agentic AI driven company that focuses on predicting stock price movement. Using 15 autonomous agents, Algorithmic Research’s agents predict price movement across four time periods: seven days, 30 days, 90 days and one year.
15
Autonomous agents
4
Prediction horizons
67–70%
Accuracy · 7 & 30 day
Prediction horizons
Four time periods. Two already proven.
Testing and regression analysis for the seven- and 30-day timeframes revealed prediction accuracies of between 67% and 70%. There is not enough data for conclusive results on the two longer timeframes.
7D
Seven days
67–70% accuracy
30D
30 days
67–70% accuracy
90D
90 days
Data still accumulating
1Y
One year
Data still accumulating
Platforms
Four separate software platforms
auravestia.ai
AI stock predictions with direction, confidence and multi-horizon price targets.
pharmahealth.ai
Research scores, scenario ranges and a track record for pharma and healthcare stocks.
energysector.ai
Ranks Energy-sector opportunities, scores individual stocks and tracks outcomes.
agentagriculture.ai
Buy, sell or hold verdicts with conviction scores for agriculture-related equities.
Custom agent services
AI agents built around your work
Every business has work that follows its own rules. We design and build customised AI agents that fit your needs, so you can automate repetitive tasks and give your team more time for the work that matters.
Research & reporting
Gather information from multiple sources, summarise the findings and prepare regular reports.
Document processing
Read contracts, invoices and forms, extract the key details and route them to the right place.
Customer & sales follow-up
Answer common questions, qualify enquiries and keep follow-ups moving on time.
Data & back-office work
Update records, reconcile information between systems and handle repetitive daily tasks.
How it works
01
Understand
We learn your workflow and define what the agent should achieve.
02
Design
We map the agent's tasks, tools, data access and approval steps.
03
Build
We create the agent and connect it to the tools you already use.
04
Test
We check its work on real examples and refine it before launch.
05
Launch
We deploy the agent and keep your team in control of important decisions.
Our story
Research first, then launch
Dec 2025
Company founded
Seven months devoted to pure research and development.
Jun 2026
auravestia.ai begins trading
The first platform goes live.
Late summer 2026
Three more platforms launch
pharmahealth.ai, energysector.ai and agentagriculture.ai.