Chris Pinter / Predictive Systems
Predictive AI: understanding data, time series and trading systems.
Learn Predictive AI through fundamentals, research papers explained and practical experiments.
Research papers on predictive AI and trading systems
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Fundamentals
Start with data, time series and the difference between a useful signal and statistical noise.
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Explore the questions, methods and limitations behind my research, including what the results can and cannot tell us.
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Follow technology projects and experiments that put ideas to the test, including successes, failures and open questions.
Explore the projectsFeatured research / 2025 paper
Rapid-Iteration Multi-AI Trading Platform: Methodology and Mid-Stage Results on EURUSD
The paper describes a layered EURUSD system: models propose trade signals, independent validation checks them, and risk rules govern execution.
What the paper reports
The author reports a profit factor of approximately 1 (about break-even) over several weeks of live testing.
Classification-validation metrics describe model evaluation. They are not trading returns or a claim of current profitability.
Read the 2025 paperAbout Chris
Exploring the future of Predictive AI.
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I’m Chris Pinter, an engineer, technology entrepreneur and researcher focused on Predictive AI. My 30+ years of experience span electronics, RF engineering and technology development, including building technology for companies such as Microsoft and EMSCAN. I hold a master’s degree (MMIE).
My research asks how machine learning can make sense of complex time-series data, improve forecasting and separate useful predictive signals from statistical noise. I explore the connections between AI, causality, financial markets and intelligent decision-making, with attention to what the data can, and cannot, tell us.
An idea is only useful if it survives careful testing. Scientific testing and practical experiments help me assess reliability, understand limitations and find out whether a promising result holds up beyond the initial model.
I share that work through research papers, videos and technology projects, including successes, failures and open questions. My aim is to connect curious researchers, entrepreneurs and technology professionals interested in what Predictive AI can reliably accomplish.
Chris Pinter, MMIE, PMP, BTech, EET
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