The document describes various algorithms for market forecasting provided by StockFusion Studio, including ARIMA, neural networks, Markov models, regression techniques, and other predictive models. It provides details on self-optimizing ARIMA, finite impulse response neural networks, finite state Markov automation, stepwise best regression, square root regression, logistic regression, and other algorithms. The goal is to select the best algorithms for time series forecasting and predicting future market states and stock prices.
Related topics: