NTH YEAR
Nth Year represents the number of years since the start of the dataset or period, allowing sequential year tracking. Formatted as an integer, e.g., 01.
Time

Nth Week represents the number of weeks since the start of the dataset or period, offering sequential week tracking. Formatted as an integer, e.g., 01.
Definition: Nth Week represents the number of weeks since the start of the dataset or period, offering sequential week tracking. Formatted as an integer, e.g., 01.
Importance: Tracking trades and market trends on a weekly basis provides insights into short-term patterns, helps traders adjust strategies, and aligns trading activity with broader market cycles.
Tips: Use Nth Week to track short-term market fluctuations. Compare week-over-week performance to detect emerging trends. Align weekly analysis with major financial events or market openings. Maintain accurate dataset initialization for reliable tracking.
Definition: Transaction-Level Nth Week calculates the relative position of the transaction in terms of weeks since the start.
Formula: The number of weeks is determined by calculating the difference between the transaction’s date and the dataset’s starting week.
Example: If the dataset starts in the first week of January 2025 and a transaction occurs in the third week, its Nth Week value would be 3.
Application: Helps traders analyze transaction timing in relation to weekly market cycles.
Definition: Trade-Level Nth Week aggregates transaction-level nth weeks, reflecting trade timing within the dataset.
Formula: The trade’s week position is determined by analyzing the weeks of all associated transactions.
Example: A trade executed across the 5th and 6th recorded weeks would have an Nth Week range from 5 to 6.
Application: Useful for evaluating trade activity trends over weekly timeframes.
Definition: Portfolio-Level Nth Week consolidates trade-level nth weeks, providing portfolio-wide sequential week tracking.
Formula: The portfolio’s Nth Week is determined by aggregating the week values from all trades within the dataset.
Example: If most trades in a portfolio occur between the 8th and 12th recorded weeks, those weeks may be considered key trading periods.
Application: Helps traders monitor portfolio-wide trends over weekly intervals and refine strategies accordingly.