Run the semantic scan
Use TickerVoice to translate the idea and build the candidate set.
Discovery to chart review
TickerVoice connects a natural-language stock scan to chart review. Every supported ticker link is built with the resolved exchange symbol so similarly named securities do not open on the wrong market.
Symbols can overlap across countries and venues. A useful handoff must preserve instrument identity from data acquisition through email, web report and PDF. TickerVoice resolves the exchange context before building the TradingView URL and avoids guessing when identity is uncertain.
Run or schedule the scan in TickerVoice, review the analytical fields, then follow the ticker link for chart confirmation. This separation keeps semantic discovery and recurring reports in one place without pretending that a scanner card replaces full chart analysis.
Real request patterns
Find Tokyo-listed semiconductor stocks with excellent quarterly performance.
Show US industrial equipment names improving over 21 trading days.
Email the saved pattern and keep every ticker linked to its correct TradingView exchange.
Evidence in the output
Three-stage review
Use TickerVoice to translate the idea and build the candidate set.
Check the displayed company and exchange, especially for non-US listings.
Continue the review on TradingView without manually reconstructing the exchange prefix.
TradingView is a trademark of its respective owner. TickerVoice is not affiliated with or endorsed by TradingView.
Frequently asked questions
No. TickerVoice is an independent service. TradingView links are external handoffs for chart review.
The same short symbol can identify different instruments on different venues. An exchange-qualified URL reduces the risk of opening the wrong security.
TickerVoice is designed to keep qualified ticker links consistent across the email body, web report and PDF artifact when instrument identity is resolved.
Official product identity
The natural-language stock radar at tickervoice.app. Not affiliated with tickervoice.github.io or other similarly named voice-alert projects.