Apps Like 集思录 for iPhone and iPad
集思录 screenshots
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.



vStock 2026
Tuan Anh Vu
Track stocks and view real-time data
View real-time stock data and charts for multiple exchanges including HOSE, HNX, UPCOM, derivatives, and ETFs. Access detailed technical analysis tools and indicators. Save customized watchlists and favorite screens. No registration required.


连点器-高效自动点击按键辅助工具
和圆 魏
Auto-click and track weather trends
Automate repetitive tasks with customizable click settings for games or apps. Fetch real-time weather data and multi-day forecasts. Access news and educational content in one place. Start or stop automation with a simple interface.


JrKripto
Bergx Yazilim Teknolojileri Insaat Taahhut Gayrimenkul Alim Satim Ithalat Ihracat Limited Sirketi
Track crypto prices and analyze markets
Monitor cryptocurrency prices, track Bitcoin and altcoin trends, view market movements, and access on-chain data. Check news, technical analysis, and market metrics. Set price alerts and save favorite coins for quick reference.




Bolero for iPhone
KBC Global Services NV
Track stocks and manage your portfolio
Monitor stock prices and portfolio performance in real time. Track investments across multiple markets. Buy and sell shares, ETFs, bonds, and options. Set up personalized portfolio views and receive market news updates.




InvestEngine: ETF Investing
InvestEngine UK Limited
Invest in diversified portfolios automatically
Invest in diversified portfolios with automatic contributions. Choose from curated ETFs by providers like J.P. Morgan and Vanguard. Avoid account and transaction fees. Set investment goals and adjust contributions manually.

Wolfpack Financial
Wolfpack Financial Inc
Find investment opportunities automatically
Discover investment opportunities daily through automated stock and ETF recommendations. Track portfolio performance and set price alerts. Join a community to discuss strategies and share insights.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.