Trend Forecasting Models
Trend forecasting models use historical data and mathematical algorithms to predict the future direction and strength of asset price movements. These models range from simple moving average crossovers to complex machine learning architectures that incorporate multi-dimensional data.
In the context of derivatives, accurate trend forecasting is essential for determining the appropriate directional bias and strike selection for options strategies. Effective models must account for market noise, structural changes, and the influence of leverage on price discovery.
By integrating signals from order flow, volume, and macroeconomic indicators, these models aim to provide a probabilistic view of future price evolution. They are central to the development of systematic trading strategies.