🤖 Free AI Tool Watchlist Scanner Updated May 2026 Educational Only

Stock Condition Scanner

Add up to 10 ticker symbols you want to study and review educational condition summaries. Compare unusual price movement, news, chart setups and volume patterns in plain English.

Part of the StockEducation tool library built for clearer investor learning.

Dr. Charles Lo
Author
Part-Time Educator at the University of Sydney · Formerly at Charles Sturt University · Now at Wentworth Institute
🔗 LinkedIn
📅 Last reviewed
19 May 2026
Quarterly refresh
🤖 AI Model
GPT
Knowledge to recent
✓ Free · Educational
No financial advice
Quick Answer

How do I set up stock price and signal alerts?

A useful stock alert follows a condition chosen in advance, such as a price, volume level or move outside a set range. Deciding first reduces the chance of reacting emotionally when the notice arrives. The free StockEducation Stock Condition Scanner lets you add tickers, select available market conditions and set thresholds. It then shows when those conditions appear to have been met. An alert is not a buy or sell signal. Data may be delayed, so check a live price source before making any decision.

Reviewed by Charles Lo — Academic Reviewer Last reviewed
⚠ AI can make mistakes AI output may contain errors. It can miss live intraday price moves, lack current chart data after its training cutoff, may not know about events after its training cutoff, and can occasionally invent details that sound real but are not. Always check important facts against the original source before acting on what the AI says.
↓ Stock Condition Scanner ↓

📌 Your Watchlist

No tickers added yet

Select one or more — leave all on to catch everything.

📊 Price movement 📰 Breaking news 📈 Chart setups 🔊 Volume spikes

How significant does a signal need to be before you see it?

🔍 Scanning your watchlist for all signal types — showing everything, including minor signals.
📊 Price Movement
📰 Breaking News
📈 Chart Setups
🔊 Volume Spikes
Condition Labels
Research Questions
Best used for:
  1. Monitoring stocks you already follow
  2. Finding price movement worth checking
  3. Spotting news events that may affect your watchlist
  4. Detecting chart setups and unusual volume
  5. Prioritising what deserves more research today

📋 Alert Feed

AI-generated alerts for your watchlist, organized by signal type and urgency.

Research Aid
Add ticker symbols to view educational condition summaries.

Can I trust this AI analysis?

Use it to organise your thinking, not to make the decision.

This output is generated by AI from OpenAI and Perplexity. It is good at structuring information and explaining what a figure means. It can be wrong about facts, out of date, or confidently invent things that are not true.

It knows nothing about your finances, goals or tax position. Everyone who enters the same information gets the same output.

Before you act on anything here, check it against the company's own filings on SEC EDGAR. This is not a recommendation to buy or sell.

These are not trade signals

This tool tells you when a stock meets the conditions you chose. It has no view on whether those conditions mean anything.

A flag here is not a reason to buy or sell. It is a prompt to go and research something.

Educational content only. Alerts generated by this tool are for learning and research purposes. They do not constitute financial advice or a signal to buy or sell any security.

The Stock Condition Scanner is a free educational watchlist tool. Add up to 10 ticker symbols, choose the signals you care about, set your threshold and review plain English alerts across price movement, breaking news, chart setups and volume spikes.

📊
What it does: Scans a focused watchlist for movement, news, setups and volume changes that may deserve closer research.
How investors use it: To prioritise which stocks to check first, reduce manual watchlist scanning and turn market noise into a clearer research queue.
Main limitation: Educational only alerts are not live trading signals, personal financial advice, or instructions to buy or sell any security.
The Stock Condition Scanner reviews your watchlist (up to 10 tickers) for unusual price moves, breaking news, chart setups and volume spikes. Each alert comes with an urgency label and a suggested next step. Use it to prioritise which stocks deserve research today, not as trade signals.
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Three steps to use it

1

Add up to 10 tickers

Build a focused watchlist of stocks you actively follow. The tool works best on 10 or fewer; longer watchlists dilute signal quality.

2

Choose signal types and threshold

Pick which signals matter to you (price, news, charts, volume). Set threshold based on your trading style: Everything for traders, Major only for long term holders.

3

Review alerts and next steps

Each alert has urgency labels and a suggested next step (research, watch, no action). Use them to triage your day, not to make trades.

Walkthrough chapters

A four-chapter written walkthrough of building a watchlist, choosing signal types, and acting on alerts.

  1. Chapter 1 · 0:00 · Building your watchlist
  2. Chapter 2 · 1:00 · Signal type selection
  3. Chapter 3 · 2:15 · Alert threshold trade offs
  4. Chapter 4 · 3:15 · Using urgency labels

Why use it

Why investors use it

Specific outcomes for watchlist management.

1

Triage your watchlist fast

10 stocks scanned in 20 seconds with plain English alerts. Decide what deserves a deep look today.

2

Filter signal from noise

Major only threshold removes the daily noise that does not matter. Useful for long term holders.

3

Urgency labels and next steps

Each observation is labelled as a strong, developing or not-notable condition. Research questions are provided for further study, not as instructions to act.

Sample output

★ Sample · Not Live AI Output

Below is a sample scan output. Exact alerts depend on what your watchlist is doing; scan your own to see real output.

Example Input “Watchlist: Ticker C, Ticker A, Ticker B. Signals: price + news + chart + volume. Threshold: Noteworthy.”
✓ Example: Strong Conditions Moderate confidence
Ticker A: hypothetical volume and price conditions are above the selected threshold. Research question: what public news and market data could explain the pattern?
Sources cited: Historical volume baseline
Why the AI said this

Volume spike identified by comparing current bar vs 20 day average. Price move + volume is a stronger signal than either alone. AI cannot confirm the catalyst without real time news data, so it flags possible reasons and recommends a manual check. Confidence moderate because the signal is real but causation requires verification.

⚠ Example: Developing Condition Moderate confidence
Ticker B: a hypothetical chart condition is developing but has not crossed the selected threshold. Research question: what evidence would confirm or reject the pattern?
Sources cited: Technical chart pattern recognition
Why the AI said this

Chart setup identified from pattern recognition on the technical signals provided. “Forming, not yet broken” is a key distinction; AI flags the setup but does not call the trade. Confidence moderate because technical patterns are probabilistic and the signal may resolve in either direction.

→ Example: No Notable Condition High confidence
Ticker C: no conditions are above the selected threshold in this hypothetical example. Price, news and volume remain within the example baseline.
Sources cited: Watchlist baseline data
Why the AI said this

An absence of notable conditions can be useful research context. In this hypothetical example, Ticker C remains inside the selected baseline.

Before AI vs after AI

What you see in the raw input vs what the AI surfaces from it.

Before: what you read
Watchlist: Ticker C, Ticker A, Ticker B. Signals: all. Threshold: Noteworthy.

3 tickers x 4 signal types = 12 things to check. Manually checking price action, news, chart setup and volume for each stock takes roughly 20 minutes if you do it properly.
After: what the AI surfaces
What the educational scanner summarizes: condition summaries per ticker, descriptive labels, and research questions for examples that cross the selected threshold. Keeps the comparison consistent across the selected ticker list.

How to check the AI output in 30 seconds

AI output is a starting point, not a conclusion. Use this 3 step check before acting on anything the AI says:

1
Verify price moves against your broker chart
AI training has a cutoff. Always check current price action on your broker or TradingView before acting on a price alert.
2
Read the original news source
If AI surfaces “breaking news” for a ticker, find the original article on the company IR page or a reputable financial outlet. Do not act on summarised news.
3
Cross check chart setups
AI describes patterns but you should pull up the actual chart and assess yourself. Pattern recognition is interpretive.

Which AI model powers this tool

AI Model
GPT
Via OpenAI API. Documentation linked in sources.
Knowledge Cutoff
recent
For events after this, verify against current news.
System Prompt
CPA reviewed
Tuned for watchlist signal triage with urgency labelling.
Prompt Updated
19 May 2026
Reviewed quarterly. Changes logged.

What happens to your input

Your input text is sent to the AI model provider (OpenAI via API) for processing. Your input is sent to the AI provider for processing and is not stored on our servers. The AI provider may briefly process input under their published data policy. See the OpenAI data policy[1].

⚠ Do not paste personal financial information, account numbers, tax file numbers or other sensitive data into this or any AI tool. Tickers are public. Do not include position sizes, cost basis or any account details.

Complete guide

Active investors and traders typically follow 5 to 30 stocks closely. Checking all of them every day for meaningful news, price action, chart setups and volume spikes is genuinely time consuming. Most people skip it and end up reacting to alerts from their broker app or news feed.

This scanner compares a small ticker list (up to 10 symbols) across price, news, chart and volume conditions. Descriptive labels and research questions organize the educational output. It is not a substitute for live brokerage data or professional advice.

How the AI works in this tool

We use the base GPT model with a custom system prompt tuned for watchlist triage. The prompt evaluates each ticker across the four signal types you selected and produces urgency labels. Knowledge cutoff is recent; for live intraday alerts use your brokerage. This tool is for structural pattern triage, not real time monitoring.

Common mistakes to avoid

  • Using as live trading alerts. AI cutoff means it lacks current intraday data; use your broker for live alerts.
  • Watchlist too big. 30 stocks is too many; quality drops above 10. Build focused lists.
  • Wrong threshold for style. Long term holders should use Major only; traders use Everything.
  • Ignoring “no action” alerts. Knowing what is quiet today is half the value.
  • Acting on chart setups without confirmation. Setups form and break; wait for confirmation.
  • Pasting non public info. Tickers only; no account details, cost basis or position sizes.

How to read the output

Review the condition labels as educational summaries. Strong, developing and not-notable labels describe the selected thresholds; they are not instructions to trade.

Research questions are educational prompts, not commands or recommendations.

Good prompts vs bad prompts

The biggest factor in AI output quality is the input. Three side by side examples.

❌ Bad: too short, vague
“Stocks moving today”
Why it fails: No watchlist provided. AI cannot scan stocks it does not have.
✓ Good: specific, clear context
“Watchlist: Ticker C Ticker B Ticker A. Signals: all. Threshold: Noteworthy.”
Why it works: Real watchlist with signal preferences. AI returns a focused scan.
❌ Bad: asks for an opinion
“Should I buy this stock?”
Why it fails: Asks for a trade decision. Tool triages signals, does not advise.
✓ Good: asks for interpretation
“For Ticker A, which condition crossed the example threshold and what does that pattern usually mean?”
Why it works: It asks about the observed condition rather than requesting a buy recommendation.
❌ Bad: Long watchlist
“30 tickers: Ticker C Ticker D Ticker E …”
Why it fails: Too many tickers dilutes quality of each scan. Tool is built for 10 or fewer.
✓ Good: Focused 5 to 10 ticker list
“Watchlist: top 5 holdings + 3 watch ideas”
Why it works: Manageable list. AI gives quality signals on each.

When to trust the AI vs do your own research

AI is good at structural triage. It cannot replace your live brokerage alerts or real time news feed.

SituationUse AIOverride with research
Structural pattern triage AI fast and consistent
Live intraday price alerts✗ Use broker alerts
Identifying chart setups Pattern recognition
Recent breaking news verification✗ Check news source directly
Volume baseline comparison Statistical baseline
Confirming whether to trade✗ AI does not advise
Urgency labelling Calibrated to threshold
Pre market and after hours moves✗ Check broker quote

Frequently asked questions

Is the Stock Condition Scanner free?

Yes. Free to use, no signup required.

What AI model does this use?

GPT via the OpenAI API with a custom prompt tuned for watchlist triage. Knowledge cutoff is recent.

Why limit to 10 tickers?

Quality of analysis per ticker drops above 10. Better to have focused watchlists than long shallow ones.

Is this a replacement for broker alerts?

No. Use your broker for live intraday alerts. This tool is for structural pattern triage, not real time monitoring.

How often should I scan?

Daily for active traders. Weekly for swing traders. Monthly for long term holders.

Is my watchlist stored?

No input or output is logged or stored on our servers. Tickers are public; do not include position sizes.

What is the difference between thresholds?

Everything = minor and major signals (noisy, useful for traders). Noteworthy = clear signals only (balanced). Major only = significant moves only (good for long term holders).

Does it work on non US stocks?

Yes for ASX, LSE, HKEX. Quality is best for actively traded developed market names.

Sources, model docs & methodology

The AI used in this tool is GPT via the OpenAI API. Editorial team maintains the prompt and reviews quarterly. Signal methodology references standard technical analysis and trading literature.

  • OpenAI API documentation and data usage policy[1]
  • Murphy, John. Technical Analysis of the Financial Markets[2]
  • SEC EDGAR for news catalysts and 8-K filings[3]
  • CFA Institute technical analysis methodology[4]

Regulatory & disclaimer

This AI tool is provided for general educational purposes only. It does not constitute financial product advice. Signals are educational pattern observations; they are not buy or sell recommendations. Use live brokerage alerts for time sensitive monitoring. Consult a licensed financial adviser before making trading decisions.

Limitations of this AI tool

  • It uses a large language model that lacks live intraday price data.
  • Knowledge cutoff is recent; recent events may not be reflected.
  • Watchlist is limited to 10 tickers for quality reasons.
  • It is not a substitute for live brokerage alerts.
  • Chart pattern recognition is probabilistic; setups can resolve either way.
  • Signals are educational; they do not constitute trade recommendations.

Footnotes

  1. OpenAI API documentation and data usage policy. OpenAI privacy policy
  2. Murphy, John J. Technical Analysis of the Financial Markets. New York Institute of Finance. Standard reference text for chart pattern recognition. amazon.com
  3. SEC EDGAR for 8-K filings, the primary source for material corporate events. sec.gov EDGAR
  4. CFA Institute curriculum on technical analysis. Reference framework for trading signal methodology. cfainstitute.org

Ready to scan your watchlist?

Add up to 10 tickers and get a triaged signal scan in 20 seconds. Free, no signup, no storage.

Educational content only. Not financial advice.

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