Algorithmic Rank page

Algorithmic Rank page

Seasonality Jul 1, 2023

Algorithmic Rank page can give hints about statistical opportunities based on Seasonality to exploit in the current month.


It contains the ranking of financial symbols that have the best statistics, according to a proprietary algorithm, from the current day to the end of the current month.

It can be especially useful in the first part of the month, when there are still many trading days for Tickers to express performance. While it progressively loses importance towards the last days of the month.

The Ranking

The Ranking is based on the Score, and then Strength, of each Ticker.

The Scores are used to compute the Strenght in the Ranking table:

  • the first Ticker in the rank has the maximum Strenght (100%) since it has the maximum Score (4999);
  • the second Ticker has a Score of 3955, and a Streght of 79.11%, given by 3955 / 4999.

How Scores are computed

The algorithm:

  • takes in consideration different statistics of the backtest:
    • Average Return
    • Standard Deviation
    • Winning Percentage
    • Drawdown
  • compute an average between the statistics measured in two periods
    • the entire history
    • the last 10 years
  • gives a score considering statistics, and in addition is updated daily with this logic:
    • each Ticker has an expected return in the current month given by the average return
    • it compute the difference between the actual and the expected return obtained, and adjust the final score

How to see the Ranking for all the Months

Algorithmic Rank page was one of the first developed. During the years ForecastCycles Platform has evolved.

It is possible to see the Ranking for all the Months and Tickers in the Anomalies Ranking page:

All Anomalies - Advanced Filters - Ticker:'EURUSD' & Strategy:'Month of Year'

Videos on YouTube

Algorithmic Rank presentation and tutorial are available on YouTube

  • Link to the Video in English
  • Link to the Video in Italian

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Andrea Ferrari

I deal with Programming and Finance, I lead the R&D of ForecastCycles. I strongly believe that Seasonality, COT and Macro and Fundamental analysis are the basis for Trading and Investments.