Predictive Trading Systems
Predictive Technology Systems (PTS) is a leader in the transition from human-guided financial trading to fully-automated systems, utilizing cutting-edge big data management, AI, and machine learning technologies. Their platform automates routine tasks, enabling fully automated decision-making for investment firms, including smaller firms and family offices. PTS's technology integrates natural language processing and sentiment analysis to enhance trading strategies, allowing for real-time market connections and automated trade execution. With a focus on building next-generation low-code AI-driven tools, PTS aims to transform the investment management landscape by providing high-speed trading decisions and risk assessments based on vast data sets.
Predictive Trading Systems
Predictive Technology Systems (PTS) is a leader in the transition from human-guided financial trading to fully-automated systems, utilizing cutting-edge big data management, AI, and machine learning technologies. Their platform automates routine tasks, enabling fully automated decision-making for investment firms, including smaller firms and family offices. PTS's technology integrates natural language processing and sentiment analysis to enhance trading strategies, allowing for real-time market connections and automated trade execution. With a focus on building next-generation low-code AI-driven tools, PTS aims to transform the investment management landscape by providing high-speed trading decisions and risk assessments based on vast data sets.
TL;DR
Founded: 2017
Headquarters: New York, NY
Stage / Funding: Seed (announced Jan 7, 2021)
Team size (approx.): 5 employees
Product focus: AI/ML-driven automated trading and decisioning platform for investment management
Company Overview
Problem Domain
Automating investment decision-making and trade execution for asset managers using AI/ML and data engineering.
Founded
2017
Industry
Financial technology / Investment management
Funding Track Record
Seed round announced Jan 7, 2021; public profiles indicate total funding recorded as $330,000 USD