Free AI Stock Screeners in 2026: What Is Actually Free and What the AI Does

There is no fully free AI stock screener worth relying on in 2026. TradingView's AI Screener, the best natural-language screener, is on paid plans only. Danelfin and Tickeron give a free account a sample of their AI ratings and keep the full list behind a subscription. The setup that costs nothing and works is to have a chatbot write the screen in plain English, run it on Finviz's free screener, and check every result against a chart yourself.

That split matters more than any feature list. The word "AI" on a screener covers three different jobs, and the free tiers give away a different slice of each one. Knowing which slice you are getting tells you whether the free version is enough or a trial in disguise.

Quick comparison

Prices on that table come from each vendor's site or from a third-party price check dated October 6, 2026. They move often, and sale prices in particular do not last, so check the vendor's own page before you pay.

What "AI" means on a free AI stock screener

A screener filters a universe of stocks down to the ones that match your rules. Adding AI to that can mean one of three things, and they fail in different ways.

Natural-language filters are the narrowest and the most honest kind. You type "large-cap tech stocks above their 200-day average with rising volume" and the tool maps it onto filters the screener already had. The AI decides nothing about which stocks are good. It saves you clicking through menus. TradingView's AI Screener is this type, and its help center says plainly that prompts are mapped onto existing screener filters and columns.

Scoring models are the opposite. Danelfin, Tickeron and similar tools run their own model over price, fundamental and sentiment data and hand you a rank or a score. The AI is making the call here, which is the part you are paying for, and which you cannot see inside. Whether that score is worth anything is an empirical question about the model, and the vendor's own backtest is the weakest possible answer to it.

Chatbots are general-purpose language models you ask to screen stocks. They are good at the translation job and unreliable at the data job. A chatbot with no live market connection is working from whatever it saw during training. One with web search is reading whatever pages it happens to find. Neither one is running a query against a current database of 6,000 tickers, which is what a screener does.

When you search for a free AI stock screener, you usually want the scoring kind and will be offered the filter kind. Most of the confusion in this category comes from that mismatch.

TradingView AI Screener, best natural-language screener

TradingView added an AI Screener to its stock and crypto screeners. According to TradingView's help center, it "is currently available to all paid users," it is in public beta, and each plan gets a monthly request limit that resets on the first day of the month at 00:00 UTC. Prompts must be 6 to 164 characters long. The example the help page gives is "golden cross in India," which applies a 50/200 SMA crossover filter, sets the market to India, adds the SMA columns, and sorts by technical rating.

Some "best free screener" lists published this autumn say the free Basic plan includes 100 AI screener requests. TradingView's own help page says paid users, and a competitor's October price check lists 100 to 500 AI requests on the paid plans only. Go with the vendor's page. If you are on Basic, you get the regular screener and no AI button.

Bar chart of TradingView monthly plan prices billed annually, checked October 2026: Basic $0, Essential $12.95, Plus $29.95, Premium $59.95, Ultimate $199.95. The AI Screener is included only on the paid plans.

The free Basic plan also got tighter in other ways. A Reddit thread in r/TradingView titled "Screener is paid now?", posted October 1, 2026, collected free-plan users reporting that screener edits they used to run for free now sat behind the paywall. TradingView's pricing page lists Basic at 1 saved screen and 2 active filters, which is enough to try the screener and too little to run a real multi-filter screen.

What it does well: if you already pay for Essential or above, the AI Screener is the fastest way from an idea to a filtered list, and since it only uses filters TradingView already has, you can open every result and see exactly why it matched. A new request also replaces your existing filters, columns and sorting, so save a screen you like before you try the next prompt.

Its real weakness is that it does not tell you anything you could not have built by hand. A vague prompt gets a vague screen. "Stocks about to break out" has no exact mapping, and the help page says that when the AI cannot map a request it asks you to rephrase with a specific market, metric, industry or condition.

Finviz, best free screener to run an AI-written screen

Finviz has no AI features and is still the most useful piece of a free setup. The screener is on the free tier, it loads without an account, and Finviz's help page says stock quotes are delayed by 1 minute, with futures and options delayed by 15 minutes. Real-time quotes and the advanced views sit in the paid Elite plan.

The point of pairing it with an AI is division of labor. Finviz's filters are fixed menus with plain labels: market cap, sector, price relative to the 20, 50 and 200-day moving averages, RSI(14), relative volume, earnings date, P/E, and many more. A chatbot is good at translating a fuzzy idea into those exact menu choices. Finviz is good at running them against a live list of US stocks. Neither does the other's job well.

The 1-minute delay is fine for end-of-day and swing screens and wrong for intraday scanning. If you need a list of stocks moving in the last thirty seconds, no free screener in this comparison does that, and our guide to free stock screener apps covers why your broker's own scanner is the only free real-time option.

Danelfin, best for AI scores on a budget

Danelfin gives each stock and ETF an AI Score, explained by the fundamental, technical and sentiment signals behind it. The score is pitched as a probability of beating the market over roughly the next three months. That is the scoring kind of AI, and Danelfin is one of the more transparent versions of it, because it shows which signals pushed a score up or down.

The free plan is a sample. A competitor's October 2026 price check lists the free plan as including the Top 10 stocks daily newsletter, with Plus at $264 a year, Pro at $708 a year and Elite at $1,608 a year, and a 14-day trial on the paid plans. Directory listings also describe a small monthly allowance of stock reports for free users. In practice, a free account lets you look up what the model thinks about a handful of names and see its top picks. You cannot run your own filters over the full scored universe without paying.

The honest caveat applies to every tool in this section: a score that says a stock has a better-than-average chance of beating the market is a statement about a large group of stocks over a stated horizon. It says nothing reliable about the one trade you are about to make, and it says nothing about where your stop goes.

Tickeron, best for testing pattern-recognition output

Tickeron sells a set of AI tools rather than one screener: AI Real Time Patterns, an AI Trend Prediction Engine, an AI Pattern Search Engine, an AI Stock Screener, AI Robots and daily buy and sell signals. Its homepage marks Real Time Patterns and the Trend Prediction Engine as "Try for Free" and asks you to "Join Us Today for Free." The robots and signals are subscriptions.

Tickeron's prices move with promotions. One October 2026 check found a holiday sale with daily signals at $60 a year, AI Robots at $540 a year and AI Robots Unlimited at $1,500 a year, with single AI tools at $20 to $30 a month. Treat those as sale prices, not list prices.

The useful thing a free Tickeron account gives you is a look at what automated pattern detection outputs: a flagged pattern, a target, and a stated confidence. That makes it a decent way to learn how pattern-recognition tools present their calls, and to see how often a "high confidence" pattern actually played out on charts you can check afterwards. The weakness is the same as for any signal product: you are trusting a confidence number you cannot audit, and the bots trade on rules you do not set.

ChatGPT and other chatbots: good at writing the screen, bad at running it

Ask a chatbot "which stocks should I screen for this week" and you are asking the wrong question. Ask it "turn this idea into Finviz filters" and you get its best work.

The difference is data. A screener's whole job is to check current numbers against your rules. A chatbot either has no current numbers or has a few it found on the web, and it will still answer fluently. The joint SEC, NASAA and FINRA investor alert on AI and investment fraud puts it directly: "Be aware that AI can generate and spread false or inaccurate information." The alert adds that AI output can rest on data that is inaccurate, incomplete or outdated, and that chatbot conversations in particular can lead to impulsive decisions.

So use the chatbot where it is strong:

• Translating a trading idea into concrete filter values.
• Explaining what a metric means and when it misleads, such as why a P/E above 40 can be cheap for a fast grower.
• Writing a checklist for reviewing each result on the chart.
• Spotting a contradiction in your rules, such as asking for oversold stocks that are also at 52-week highs.

And never use it for the data step: current prices, today's RSI, which stocks currently pass a filter, or earnings dates. A ticker a chatbot names as passing your screen is a claim to check, and if you skip the check you have outsourced the one step that was supposed to protect you.

How to build a free AI-assisted screen, step by step

Here is the full workflow with a concrete idea, using only free tools. The idea comes from a pattern traders describe often: large, liquid stocks that pulled back hard inside a longer uptrend and are starting to draw buyers.

1. Write the idea in one sentence. "Large US stocks still above their 200-day moving average that have pulled back to oversold on RSI, with volume picking up."
2. Ask the chatbot to map it onto Finviz filters, and only Finviz filters. Give it the menu names if you can. A good answer looks like: Market Cap set to Large or Mega, Country set to USA, 200-Day Simple Moving Average set to Price above SMA200, RSI (14) set to Oversold (30) or Oversold (40), Relative Volume set to Over 1.5, Average Volume set to Over 1M.
3. Ask it what the screen will miss and what it will wrongly include. A good chatbot will point out that RSI below 30 inside an uptrend is rare, so the list may be empty on many days, and that stocks gapping down on bad news will pass the filters too.
4. Run it on Finviz. Write down how many names come back. If it is zero, loosen one filter at a time (RSI 40 instead of 30, relative volume over 1 instead of 1.5) and write down which change opened it up.
5. Check the earnings calendar for every result. Add the earnings date column. A stock that pulled back three days before earnings is a different trade from one that pulled back on a quiet week.
6. Open every chart. The screen tells you the stock is above its 200-day average and oversold. Only the chart tells you whether the pullback stopped at a level that held before, or sliced through it.
7. Decide the stop before you decide the entry. If you cannot point to the level that, once broken, would prove the idea wrong, the stock does not belong on the list.

Step 6 is where most screens fall apart. A 200-day average and an RSI reading are two numbers. A pullback into a support level that held three times and a pullback through it pass the same filters and are opposite trades.

A worked example of what the screen catches

Imagine the screen returns a large-cap name that ran from $120 to $180 over six months, then fell to $150 in two weeks. RSI(14) is 32, price is still above the 200-day average at $138, and relative volume on the last two days is 1.8. All three filters pass.

On the chart you see the $148 to $152 area held twice during the run-up. That is the zone you are watching. A stop under $145, a little below the zone, is about $5 away from a $150 entry. On a $10,000 account risking 1%, that is $100 of risk, so about 20 shares, which is a position of roughly $3,000. Those numbers are illustrative, but the arithmetic is the point: the screen found the candidate, the chart found the level, and the level set the size. The 2 percent rule guide walks through the same math at different risk levels.

None of this guarantees the level holds. Plenty of pullbacks into old support keep going, and an earnings miss or a sector selloff will take a stock straight through a level that held for months.

How to test any AI ranking before you trust it

Scoring tools publish track records. Every vendor's backtest looks good, because no vendor publishes the one that did not. You can run a crude but honest check yourself for free.

1. Write the picks down before you know the outcome. Take a free tool's top 10 list on a given day and record the tickers, the date, and the stated horizon. A screenshot with the date visible works.
2. Pick a benchmark that matches the list. If the picks are large US stocks, compare them with an S&P 500 fund over the same window. If they are small caps, compare with a small-cap index.
3. Wait the full horizon. A three-month score needs three months. Checking after two weeks and stopping when it looks good is the most common way people talk themselves into a tool.
4. Repeat it several times. One list beating the market once is noise. You need many independent lists before a pattern means anything, and even then a good run is not proof that the next one will be.
5. Watch for survivorship. If a tool's "past picks" page only shows names still in its universe, the stocks that were delisted or dropped have quietly vanished from the record.

The r/investing thread "Stock Screener alternative" makes the inverse point well. The poster noted that Google traded at a P/E above 40 in 2018 and has since risen more than 500%, and wrote: "If I had used a stock screener in 2018 I'd probably missed that out." A ranking model trained on value metrics would have screened it out too. Every screen, AI or not, encodes a view of what a good stock looks like, and that view will miss whatever does not fit it.

One reply in that thread suggested a better use for screening tools: "starting from a known company at a known point in time and then searching for similar setups." That is closer to how chart traders already think. You know what a setup looks like, and you want more examples of it. A screener finds the candidates. Your rules and the chart decide whether any of them is actually the setup.

The red flags regulators list

The joint Investor.gov alert on artificial intelligence and investment fraud, issued January 25, 2024 by the SEC's Office of Investor Education and Advocacy, NASAA and FINRA, is worth reading before you pay for any AI stock tool. The parts that bear directly on screeners and rankings:

• Guaranteed-return language. The alert quotes the kind of pitch to walk away from: "Our proprietary AI trading system can't lose!" and "Use AI to Pick Guaranteed Stock Winners!" It warns to be wary of such claims "even from registered firms and professionals."
• AI buzzwords on microcaps. It flags pump-and-dump schemes that use AI-related claims, and notes that microcap and penny stocks are especially vulnerable because so little public information exists about them. An AI screener that keeps surfacing tiny, thinly traded names deserves extra suspicion.
• Unregistered platforms. It points readers to the free Check Out Your Investment Professional tool on Investor.gov to confirm registration and disciplinary history.
• Leaning only on AI output. It warns that AI-generated information "might rely on data that is inaccurate, incomplete, or misleading."

A legitimate free screener will not promise outcomes. It shows you a filtered list and leaves the decision with you. If the free tier's main job seems to be pushing you towards a paid signal service with a countdown timer, that tells you what the product is.

Where Quant AI fits

Quant AI is not a screener and will not replace one. It does not rank thousands of stocks or run filters over a market. It handles step 6 of the workflow above: you send it a screenshot of a chart, and it marks the trend, the support and resistance levels it finds, and the pattern or setup it reads, in a few seconds, with no account to open and no chart template to build.

That is useful after any of the tools in this comparison has produced a short list. You open each result, take a screenshot, and get a first read on where the levels are before you decide where a stop would go. It is a second pair of eyes on a chart, and it can misread a chart the same way a person can. The decision, the stop and the size are still yours, and our AI trading screenshot analyzer comparison covers how it compares with the other tools that read charts from images.

How to choose

• You want natural-language screening and already pay for TradingView: use the AI Screener. Save every screen you like before you try a new prompt.
• You want to spend nothing: use a free chatbot to write the filters and Finviz to run them, then check every chart by hand.
• You want to see what a scoring model thinks: open a free Danelfin account and treat its top 10 as a list of names to research, not trades.
• You want to learn how pattern-recognition tools present their calls: try Tickeron's free tools and track their calls against what the charts did afterwards.
• You trade intraday: none of these free tiers is fast enough. Use your broker's scanner.
• You are about to pay for an AI ranking: run the paper test above for a full horizon first. A 14-day trial is not long enough to judge a three-month score.

Frequently asked questions

Is there a completely free AI stock screener?

Not one that combines AI scoring, your own filters and live data on a free tier. TradingView's AI Screener is for paid users only. Danelfin and Tickeron offer free accounts with limited access to their AI output. The free route that works is a chatbot to write the rules and Finviz's free screener to run them.

Does TradingView's free plan include the AI Screener?

TradingView's help center says the AI Screener "is currently available to all paid users." Some third-party lists say the free Basic plan includes 100 requests. Trust the vendor's page and check the screener on your own account.

Can ChatGPT screen stocks for me?

It can write a screen and explain it. It should not be trusted to tell you which stocks currently pass that screen, because it either has no live data or only what it found on the web. Run the screen in a real screener and check the numbers there.

What is the best free stock screener with AI features?

For a free account, Danelfin's free plan gives you the most AI output to look at, in the form of its top 10 scores. For screening your own ideas, the chatbot-plus-Finviz workflow gives you more control at no cost. If you will pay, TradingView's AI Screener is the most transparent because every result maps to a visible filter.

Are AI stock picks better than a normal screener?

There is no general answer, and a vendor's backtest is not one. A score can be useful as one input among several. The only way to judge a particular ranking is to record its picks before the outcome and compare them with a matching benchmark over the full stated horizon, many times.

What filters should a beginner start with?

A simple, liquid base keeps junk out: a minimum price, a minimum average volume, and a market-cap floor. One swing trader on r/swingtrading shared a base screen starting with price above $20, market cap above $1 billion and US-only listings, then layered strategy filters on top. Add one strategy condition at a time so you can see what each one does.

Is an AI stock screener safe to use?

The screener itself is a filtering tool and carries no more risk than any other. The risk is in acting on its output without checking the chart, the earnings date and your stop. The SEC, NASAA and FINRA alert also warns about platforms that promise guaranteed results; a real screener never does.

The bottom line

Free AI stock screeners mostly give you a sample. TradingView's natural-language screener is paid, Danelfin and Tickeron show free users a slice of their ratings, and chatbots write good rules but cannot run them on live data. The free setup that holds up is a chatbot to draft the filters, Finviz to run them, and your own review of every chart before anything goes on a watchlist. Whatever tool produces the list, the level you would be wrong at and the size you can afford to lose are still decisions you make on the chart.