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Early Industry Developments (1950s-1980s)
1950s-1960s: Use of computers for times series analysis such as regression models.
1970s: Advanced statistical models and pattern recognition begin to emerge.Rise of Quantitative and Algorithmic Trading (1980s-1990s)
1980s: Quantitative strategies developed, using mathematical models like autoregressive moving average models.
1990s: Early Stocksaurus uses self organizing neural networks to associate technical data patterns with imminent directional changes.Integration of Machine Learning and AI (2000s-Present)
2000s: Machine learning techniques began to be applied to trading strategies. Stocksaurus Desktop was created.
2010s: Stocksaurus Online was launched as a subscription.
2020s: Stocksaurus uses AI to refactor and enhance its code, while automating the design, tuning, testing, and selection of optimal AI models.
Stocksaurus® is a service provided by SoftLOGiX, Inc., an AI software application company based in the Philadelphia, PA, area.
Revenue from Stocksaurus subsidizes AI application and service development for underserved healthcare organizations that otherwise could not afford to leverage AI in their quality and revenue initiatives.