Predictive Technology Systems

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Predictive Technology Systems (PTS) is a company specializing in the transition from human-guided financial trading to fully-automated systems. The company offers a Finance-as-a-Software-Service (FaaS) platform that leverages machine learning, digital language processing, sentiment analysis, and cloud storage technology. This platform enables asset managers to utilize AI-guided programs for analyzing historical data and real-time current events, providing data-rich analysis free from human emotion and biases.

The core technologies of PTS's FaaS platform include machine learning algorithms, which form the foundation of their AI-driven trading systems. These algorithms are built on open-source software, with PTS focusing on building and managing databases to enable accurate predictions. Another key component is Natural Language Processing (NLP), which PTS uses to preprocess communication into digital form. The company employs NLP to listen to companies' earnings calls, translate regulatory findings, and process sentiment from social media. PTS updates its machine learning training sets continuously throughout the trading day to identify and capitalize on new opportunities.

PTS collaborates with major alternative data providers to offer clients automated access to real-time alternative data streams. The company can also assist in building proprietary NLP solutions for clients who require them. For trade execution, PTS currently uses Interactive Brokers but is open to connecting with other broker-dealers based on client preferences. A crucial aspect of PTS's service is feature engineering, which involves preparing large datasets for processing by machine learning software. This process includes constructing extensive data tables with hundreds of millions of rows, each corresponding to a "tick" in an equity bid/ask price, and identifying relevant features that may correlate with price predictions.


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Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
30 WALL ST. 8TH FLOOR New York NY USA
Founded year:
2017
Employees:
1-10
IPO status:
Private
Total funding:
USD 745.3 k
Last Funding:
USD 120.3 k (Seed; Jan 2023)
Last valuation:
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