About
Tickeron provides AI-powered pattern recognition and trading signals for retail investors. Platform scans thousands of stocks, ETFs, and forex pairs for 39+ chart patterns. Uses proprietary Financial Learning Models (FLMs) for predictive analytics. Launched AI Multi-Agents with 5-minute trading cycles claiming up to 364% annualized returns. Led by CEO Sergey Savastiouk (PhD). Targets retail traders and small funds who lack in-house quant capabilities.
Key Facts
- [1]Funding: Total funding: $10M. Last round: Aug 2014. Stage: Seed.
- [2]Employees: Employee count: 11-50.
- [3]Website: Official website: tickeron.com.
- [4]AI Technology: Core AI/ML technologies: Reinforcement Learning.
- [5]Region: Region: Americas (United States).
Founder
Sergey Savastiouk
Founder & CEO
AI Technology
Reinforcement Learning
Reinforcement learning for trading and portfolio optimization
Classification
Market Segments
Tech Stack Layers
Details
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Frequently Asked Questions
What is Tickeron?
Tickeron provides AI-powered pattern recognition and trading signals for retail investors. Platform scans thousands of stocks, ETFs, and forex pairs for 39+ chart patterns. Uses proprietary Financial Learning Models (FLMs) for predictive analytics. Launched AI Multi-Agents with 5-minute trading cycles claiming up to 364% annualized returns. Led by CEO Sergey Savastiouk (PhD). Targets retail traders and small funds who lack in-house quant capabilities. Tickeron is classified in the Trading & Markets segment at the Applications layer of the financial AI stack.
Who founded Tickeron?
Tickeron was founded by Sergey Savastiouk (Founder & CEO).
How much funding has Tickeron raised?
Tickeron has raised $10M in total funding, placing the company at the Seed stage. The most recent round closed in Aug 2014. Among 29 funded Trading & Markets companies, Tickeron ranks #22 by total capital raised. (Source: AIFI Map directory.)
What AI technology does Tickeron use?
Tickeron primarily leverages Reinforcement Learning technology. Reinforcement learning for trading and portfolio optimization. Within the Trading & Markets segment, 17 companies use this technology.
What market segment does Tickeron operate in?
Tickeron operates in the Trading & Markets market segment. AI-powered trading and markets companies are transforming how financial instruments are bought, sold, and priced across global exchanges. These companies apply machine learning to algorithmic trading, market making, order execution, and quantitative strategy development.
Who are Tickeron's competitors?
Companies similar to Tickeron in the Trading & Markets space include Unit21 ($92M raised), Kaaj ($4M raised), Lendbuzz ($310M raised), Ramp ($2.3B raised), Brex ($1.5B raised). These companies operate in related areas of financial AI: Unit21 focuses on ai-powered fraud and aml platform. Kaaj focuses on agentic ai for small-business lending automation. Lendbuzz focuses on ai auto financing for underserved populations. (Based on AIFI Map classification data.)
What products does Tickeron offer?
Tickeron builds applications-layer solutions for the financial services industry. The company's core offering: AI pattern recognition for trading. The platform is powered by Reinforcement Learning technology.