What is Predict Trend?
Predict is an advanced indicator designed to analyze the current trend and compare it with similar historical patterns, providing forecasts based on the results following these patterns. With customization levels that increase search precision, Predict offers a detailed view of possible future market performance.
Main Advantages of Predict Trend
Historical Pattern Analysis
Identifies and compares the current trend with similar historical patterns to obtain forecasts based on concrete and historical data.
Customizable Precision
Adjust various parameters such as distance and percentage variation between levels, improving pattern search accuracy.
Forecasts Based on Historical Average
Visualizes the predicted movement based on the average of all found historical patterns, to make informed trading decisions.
How Predict Trend Works
Predict uses advanced algorithms to analyze the current trend, compare it with similar historical patterns, and provide future movement forecasts based on real and verifiable data.
Predict Trend Details and Settings
Predict offers a range of customizable settings to optimize historical pattern search and improve forecast accuracy.
Precision Parameters
Allows adjusting level length, pattern precision, and the number of subsequent values to obtain after identifying historical patterns.
Specific Pattern Search
In addition to automatic search based on the active trend, Predict allows searching for specific patterns by manually entering the necessary data for analysis.
Forecast Visualization
Offers the ability to view a table with all found values and a line representing the average of results, providing a clear view of forecasts based on historical data.
How to Use Predict Trend
Predict Trend offers various features that help traders understand and make the most of market trends.
Use found patterns to compare past movements with the current trend, obtaining a clear view of possible future directions.
Predict Trend Specific Questions
Yes, Predict works on any timeframe. To improve precision, it is advisable to use it on higher timeframes, where historical patterns tend to be more reliable.
