Forecast LDM (Long Disequilibrium Move)
• Purpose: This feature analyzes the price movements from the previous trading day to forecast the levels for the next trading session.
• Functionality: By examining historical data, including opening, closing, high, and low prices, Forecast LDM identifies patterns and trends. It then uses this information to predict the likely range and direction of the next trading day’s price movements.
• Benefits: Traders can use these predictions to set entry and exit points, manage risk, and optimize their trading strategies. It helps in anticipating market behavior based on past performance.

Forecast SDM (Short Disequilibrium Move)
• Purpose: This feature focuses on identifying significant movements within a trading day that could impact future price levels.
• Functionality: Forecast SDM analyzes key market events, such as economic announcements, earnings reports, or geopolitical developments, that have historically led to substantial price changes. It then forecasts how these events might influence the next trading session.
• Benefits: By understanding potential significant movements, traders can better prepare for volatility and adjust their strategies accordingly. This feature aids in recognizing opportunities for profit and avoiding potential losses.

How They Help Traders
• Informed Decision-Making: Both Forecast LDM and Forecast SDM provide traders with data-driven insights, allowing them to make more informed decisions rather than relying solely on intuition.
• Risk Management: By predicting potential price levels and movements, these features help traders manage their risk more effectively, setting stop-loss and take-profit orders with greater accuracy.
• Strategic Planning: Traders can develop more robust trading plans by incorporating these forecasts into their analysis, leading to improved performance and profitability.

In summary, Forecast LDM and Forecast SDM are powerful tools that enhance a trader’s ability to predict market movements, manage risk, and make strategic decisions based on comprehensive data analysis.