Poke TCG Scanner Dragon Shield аналитика приложений для 6 ноября

View price changes within your personal collection. Scan, price, build, and trade your Pokémon cards with powerful tools designed for every trainer, collector, and competitive player. Track your collection’s value, build custom decks, compare trades, and see which cards are rising or falling in price, all in one app. Whether you play casually, collect competitively or trade online, this app is your go-to digital Pokédex for Pokémon TCG cards. Social & Friends - Add friends and build your trading network - View your friends’ collections, decks, wishlists, and trade lists - Share your lists and discover new cards through your network Scan Pokémon Cards Instantly - Instantly scan cards in any language using advance image recognition - Real-time translation of foreign cards - Check daily prices from TCGPlayer and CardMarket - Explore 30-day price history charts for any card - See format legality, oracle text, and official rulings Manage Your Collection - Organize your Pokémon TGC cards into folders with custom images - Track the value of your folders over time - Export your collection to csv or text format for backups or trading - Use smart filters to sort cards by set, color and more - Built-in card price tracker for you entire Pokémon collection Build Decks - Create and manage Pokémon TGC decks and sideboards - Export decks to csv or text for tournaments or sharing - View deck stats by mana curve, color, type, and more - Perfect for casual and competitive Pokemon deck builders Trade With Confidence - Compare trade values between two players instantly - See who’s winning or losing the trade, and by how much - Use trade lists and wishlists to keep deals organized Track Price Trends - See which Pokémon cards have increased or dropped in price - Filter by date, format, or set - Track pricing trends within your own collection Weekly Email Updates - Receive weekly email summaries with your collection’s stats - See value changes, collection growth, and other insights