Describe the intent
Write the market idea as you would explain it to another trader.
Intent-to-rule screening
AI stock screener for questions that do not fit a filter form
TickerVoice is an AI-assisted stock screener built around a verifiable workflow. You describe the universe, condition, threshold and period in ordinary language. The service translates that intent into scanner rules and shows why each ticker did or did not qualify.
AI is useful only when the rule stays visible
A chat response can sound convincing while hiding the actual thresholds behind it. TickerVoice keeps the parsed market universe, performance window and numeric conditions available for review. If the request contains an industry that is not in the local semantic vocabulary, an AI-assisted expansion can propose candidate companies, but live market data still decides the result.
From an open question to an auditable candidate list
This page is for traders who start with a thesis instead of a ready-made filter. It is especially useful for niche industry language, multilingual requests and combinations such as performance plus volume or valuation. TickerVoice does not turn model output into a buy order: the generated list is a research queue for chart and risk review.
Real request patterns
Examples you can adapt
Show profitable mid-cap software stocks up more than 8% over the last 21 trading days with rising volume.
Find pumping-equipment companies with excellent performance over the last quarter.
Покажи акции фотоники с хорошим перформансом и подтверждением объёмом.
Evidence in the output
What the workflow is designed to preserve
Parsed universe, period and numeric thresholdsExact versus approximate match statusWindow performance and relative volumeRSI, risk context and decision-support levelsExchange-aware TradingView ticker link
Three-stage review
Keep discovery separate from a market decision
Audit the interpretation
Check the detected universe, period, threshold and fallback evidence before trusting the scan.
Review, do not outsource
Open the strongest candidates in TradingView and apply your own setup and risk rules.
Frequently asked questions
Clear limits, before the scan
Is TickerVoice a generative AI stock picker?
No. AI helps interpret language and expand unfamiliar industry context. Candidate qualification is based on explicit scanner logic and market data, and the output is informational rather than personalized investment advice.
Can I see how my request was interpreted?
Yes. The scanner exposes the normalized request context, including the period and performance threshold, so an incorrect interpretation can be corrected instead of silently accepted.
What happens when an industry is missing from the semantic vocabulary?
TickerVoice can use an AI-assisted universe expansion to propose relevant public companies. It then applies the requested market-data conditions to those candidates and labels fallback evidence.
Official product identity
TickerVoice by Eitan Lasker
The natural-language stock radar at tickervoice.app. Not affiliated with tickervoice.github.io or other similarly named voice-alert projects.