OT Seasonal app icon

Apps Like OT Seasonal for iPhone and iPad

Historical monthly and weekly stock behavior.

The app shows how stocks, ETFs, and indexes have performed historically across months and weeks. It provides tables and charts detailing historical price ranges and averages to identify seasonal trends.

by CIT Dates★ 3.84 ratingsFinance$9.99Data updated 2026-10-23

OT Seasonal screenshots

Ranked alternatives

Showing 421–440 of 1,000 ranked alternatives.

  1. Quick Chart XL app icon

    Quick Chart XL

    Piet Jonas

    Chart data series by entering numbers.

    The app allows users to chart data series by entering comma or space-separated numbers. It offers multiple chart types including lines, dots, and bars, with an option to display the average value.

    ★ 1.02 ratingsBusiness$1.99Data updated 2026-09-14
  1. ASP Smart app icon

    ASP Smart

    ASIA PLUS SECURITIES PUBLIC COMPANY LIMITED

    Investment tool for smart phones provided.

    The app provides tools for investment comparison and stock screening. Users can view stock information with multiple views and moving averages, and receive breaking news notifications.

    ★ 5.01 ratingsFinanceFreeData updated 2026-10-10
  2. IncomeMon - Income Tracker app icon

    IncomeMon - Income Tracker

    GwanRyel Lee

    Track by date or amount

    Track monthly with overview and sort by date or amount. Search across all months simultaneously. View weekday for accurate entry. Use widget for monthly and daily average at a glance. No payment required for all features.

    ★ 4.18 ratingsFinanceFreeData updated 2026-09-06
  3. WeWave app icon

    WeWave

    Liptalk Inc.

    Track crypto, stock trends, and chart patterns

    Access free financial charts for stocks, crypto, ETFs, and FX. Create and analyze chart patterns to identify matching assets. Set up advanced watchlists. Receive alerts (coming soon). View real-time data and historical trends.

    ★ 4.717 ratingsFinanceFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.