Time Series Forecasting with Long Short-Term Memory (LSTM) Networks for Market Trends

LSTM networks, a type of recurrent neural network, are particularly adept at processing and forecasting sequential data over long periods, making them ideal for predicting real-estate market trends. They can capture long-range dependencies in historical data, such as interest rate fluctuations, housing price cycles, or construction material costs, which simpler models might miss. This allows for more accurate predictions of future price movements, inventory levels, or rental yield.