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Frequently Asked Questions
If you have a question not answered here, contact us!

  • General Questions
  • What is Seasonalysis, exactly?
    There are many factors that go into buying and selling stock, bonds, commodities, etc.. One method is seasonal analysis where you look for reliable seasonal patterns in the market. Seasonalysis does just this. All you need to do is enter a symbol (or name) and Seasonalysis does all the heavy lifting, presenting the data to you in tabular and chart formats. Seasonal analysis has never been so easy!
  • Why does Seasonalysis cost so much?
    We believe Seasonalysis is a tremendous value at it's current price point. Seasonalysis is a unique product that provides actionable trading information. One good trade can pay for the cost of Seasonalysis many times over. There are no comparable apps on the App Store and comparable products on the PC and web platform cost 10-200 times as much as Seasonalysis.
  • How does Seasonalysis work?
    Seasonalysis uses a comparative analysis algorithm to ripple through every year of available data to determine if any seasonal patterns exist. The minimum criteria for a valid seasonal pattern is at least 75% past repeatability. For example, company XYZ would have had to gone up or down at least 8/10 years for the specified time period in order to be identified by Seasonalysis. Periods without any seasonal bias are omitted.
  • Where does the app retrieve it's quote data from?
    All quote data is retrieved from Yahoo! Finance. Seasonalysis uses the Adjusted Close price for all it's calculations as this factors in any stock splits, merges, and dividends. Generally, Yahoo Finance! data is quite reliable. However, the retrieved data and said calculations are void of any warranty or guarantee.
  • How can I use Seasonalysis?
    Seasonalysis is a tool that you can use however you wish. Whether you have a simple intellectual curiosity on the seasonal behavior of the market or are looking to improve your investment strategies by taking into account seasonal tendencies, Seasonalysis may be of interest to you. We hope the insight that Seasonalysis provides into seasonal patterns will help make you a better investor.
  • I've found a bug, what do I do?
    We apologize for the bug! Please contact us to provide a description of the bug, a description of what you were doing at the time, and if possible the steps involved in reproducing it. Your assistance in this matter will help us make Seasonalysis even better!
  • I have a feature request or suggestion, who do I contact?
    Feature requests and suggestions are always welcome. Please let us know what you would like to see in Seasonalysis. We are always striving to make Seasonalysis a better app. Your suggestion could be our next big feature!
  • Are you targeting any other platforms in the future?
    We are actively developing a comprehensive web version that will be available early 2011. More details to come.
  • Functionality
  • How do I add a symbol?
    To add a symbol to your list, tap the '+' button the main screen. Enter the company name or the symbol value and you will be presented with a list of most likely candidates. Select the best match from the list. If the symbol is valid, Seasonalysis will retrieve quote data and then analyze it. While the symbol is in the process of being analyzed you can still view other symbols in your list.
  • How do I delete a symbol?
    To delete a symbol, simply swipe your finger across the symbol you wish to delete. A delete button will appear. Once you press the delete button the symbol and all of its associated data will be removed.
  • Is there a limit to the number of symbols I can have?
    We don't impose a hard limit on the number of symbols. However, performance may be an issue beyond 300-500 symbols depending on your device type.
  • How do I add patterns to the Watch List?
    You can add and remove patterns patterns from your Watch List in the seasonal pattern detail screens. To add a pattern, tap the magnifying glass button to add it. The button will then turn into an change to an eye infographic. To remove the pattern from your Watch List, tap the eye button.

    You will receive a local notification about each pattern in your Watch List at the time you specify even if the app isn't open. (ie. I added a 10 year, 20 day pattern for MMM to my Watch List for 1/10 and Seasonalysis notified me about the upcoming MMM pattern). In the watch list view you can remove patterns as well as change the pattern notification alert time.
  • I'm in the Upcoming Patterns and my navigation bar has disappeared! How do I get it back?
    Tap this button to show or hide your extended filter options. Showing the extended filter options will hide the bottom navigation bar.
  • Does Seasonalysis support futures or currencies?
    Not at this time. Seasonalysis support symbols that have historical data available through Yahoo Finance.
  • How do I access symbols on international stock exchanges?
    Seasonalysis can retrieve data from any symbol listed in Yahoo Finance. This includes international symbols. To access international symbols, you must know the appropriate exchange code. For example, Swedish Match is a company listed on the Stockholm exchange. It's symbol is SWMA. To access this symbol, you would append the appropriate exchange code of ".ST", resulting in "SWMA.ST". You can view a complete list of exchange codes here.
  • The seasonal pattern entry or exit date falls on a non-trading day, what do I do?
    Since not all calendar days are trading days, Seasonalysis makes the following assumptions when calculating seasonal patterns:
    • If the pattern entry date is a non-trading day (weekend, holiday, etc), Seasonalysis assumes entry on the first trading date immediately preceding the entry date.
    • If the pattern exit date is a non-trading day (weekend, holiday, etc), Seasonalysis assumes exit on the first trading date immediately preceding the exit date.
  • What is the StdDev column in Seasonal Behavior for? How do I use/interpret it?
    In probability theory and statistics, standard deviation is a measure of the variability or dispersion of a population, a data set, or a probability distribution. A low standard deviation indicates that the data points tend to be very close to the same value (the mean), while high standard deviation indicates that the data are spread out over a large range of values. (Credit: Wikipedia)