Finviz is the fastest visual scan of the market on the web — the screener and heatmaps half the industry keeps in a tab. Tickerbot is that idea as an API — the computed state a system runs on: every ticker × every signal as one SQL table, query it live, as of any past moment, or as a webhook subscription. Complete on its own, data included — there’s no feed to bring.
Free plan. Every ticker, every signal, real-time data, all-time history.
head to head
Finviz answers a human clicking filters. A product, a bot, or a pipeline needs the same answers as data — queryable, historical, and pushed when they change. Build that layer yourself, or buy it here as one SQL table.
| Finviz | Tickerbot | |
|---|---|---|
| Market data | Web screener + Elite exports (CSV) | One computed table, every ticker |
| Technical indicators & signals | Fixed filter set, in-page | 421+ named signals, precomputed + custom |
| Stock screener | Interactive web screener | SQL across the whole market |
| Backtest-ready history | Current snapshot view | As-of queries — any past moment |
| Stock alerts | Email alerts on Elite | Webhook when your condition matches |
| AI agents | Built for human eyes, not tool calls | Answers in — context spent on decisions |
in practice
On a raw feed, market state is something you assemble — endpoint by endpoint, symbol by symbol, indicator by indicator. On Tickerbot, the assembly has already run — everything is a read:
| The question | With a raw feed | With Tickerbot |
|---|---|---|
| Everything about one ticker | Assemble it — quote, profile, fundamentals, plus each indicator, per symbol | GET /v2/tickers/AAPL — one row, every signal |
| Every ticker in a state | Poll each symbol, compute the indicator, compare | GET /v2/signals/rsi_oversold — the current list |
| Scan the entire market | Run your universe through your own pipeline | POST /v2/scan {"q": "rsi_14 < 30 AND market_cap > 1e9"} |
Each of the three Tickerbot calls runs in three tenses: live, as of any past moment (add ?asof= — no survivorship bias), or on push — the same query as a webhook that fires when the answer changes. And every Tickerbot call is a native tool for AI agents via the MCP server: hand a model computed state and its context goes to decisions; hand it raw data and the context goes to doing the math.
None of this is a knock on Finviz — as a place for a human to scan the market, it’s unbeatable at its price. It just isn’t a layer software can build on. To act on market state, you either build the computed layer on a raw feed, or buy it from Tickerbot as a table — data included; there’s no feed to bring.
the right tool
Finviz is the right tool for the human half of research: the instant visual read — heatmaps, sector maps, a point-and-click screen over lunch — with a free tier that made it everyone’s first screener, and Elite’s CSV exports feed a spreadsheet workflow nicely. And using both is natural: eyeball candidates on Finviz, then hand the systematic version of the same screen to Tickerbot to run, remember, and push.
questions
Finviz doesn’t offer a public developer API — Elite subscribers get CSV exports of screener data, which suits spreadsheets more than software. If you’re searching for a screener your code can call, that’s what Tickerbot is: 421+ precomputed signals per ticker, screened in SQL across the whole market, live, as-of any past moment, or pushed as a webhook. Complete on its own — the data under the table is included.
Because every action it takes — an alert, a screen result, an order, a row in a user-facing app — is a condition over derived values: RSI below 30, price above the 200-day average, volume three times normal. Raw data doesn’t contain those. Something has to compute and refresh them for every symbol, continuously, and keep the history so past answers are reproducible. That’s a data pipeline, not a feature — you either build and operate it, or query one that already runs.
Naturally — different consumers again. Finviz for the visual read when you’re exploring; Tickerbot when a screen graduates from your eyes into your code: saved as a query, run on history, wired to alerts.
Every call here is also a native tool call: install the MCP server and Claude, ChatGPT, Cursor, or any MCP runtime queries the market directly. Computed state is what makes that work well — hand a model raw data and its context window fills with math to do; hand it computed answers and the context goes to decisions. A scan returns the tickers matching your condition — a list, not a workload.
The Free plan needs no card and carries the full data side: every ticker, every signal, real-time data, all-time history and as-of queries. Paid plans start at $29/mo and add real-time webhooks, websocket streaming, and higher rate limits. Data depth is never a tier lever — every plan sees the same table.
in the wild
What people are saying.
“dude. whoah.”
“Tickerbot is insane. It turns Claude into a quant.”
“Best value for hobbyists and advanced traders alike.”
get started
Free plan. Every ticker, every signal, real-time data, all-time history.