Say what matters
Include an industry, condition, period or any combination you actually care about.
Plain language, explicit filters
A natural-language stock screener removes the need to translate every idea into a long filter form. TickerVoice accepts free-form requests in supported languages, normalizes the trading meaning, and keeps the resulting conditions visible.
Words such as good, excellent, quarter and recent need stable definitions. TickerVoice maps qualitative performance terms to service thresholds and uses a 21-trading-day default when no period is supplied. Explicit numbers in the request take precedence, so the user remains in control of the rule.
Use natural language when a request combines an industry, a price move, a time window and supporting evidence. The parser handles the mechanical parts; the report explains the interpretation and keeps weak approximate matches separate from exact matches.
Real request patterns
Stocks up more than 20% over the last 21 trading days.
Show renewable-energy equipment stocks with good performance and above-average volume.
Покажи акции насосного оборудования с отличным перформансом за последний квартал.
Evidence in the output
Three-stage review
Include an industry, condition, period or any combination you actually care about.
If no period was supplied, verify the displayed 21-trading-day default before running.
Turn a repeatable request into a saved pattern only after its interpretation is correct.
Frequently asked questions
Good means at least 3% over the requested period. Excellent means at least 10% over the requested period. An explicit percentage in the request overrides those defaults.
TickerVoice uses the last 21 trading days. The calculation requires enough valid closes to measure the change across that full window.
Yes. TickerVoice supports multilingual intent parsing, including Russian, while keeping ticker symbols, numeric thresholds and market-data evidence explicit.
Official product identity
The natural-language stock radar at tickervoice.app. Not affiliated with tickervoice.github.io or other similarly named voice-alert projects.