TradingView is where a hundred million people look at the market — the best charts in the business. Tickerbot is the same market as an API — the computed state a trading 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
TradingView is built for a human at a screen — charts, drawings, community. The moment you want software acting on market state instead of eyes, you need a queryable layer. That’s the layer Tickerbot sells, as one SQL table.
| TradingView | Tickerbot | |
|---|---|---|
| Market data | In-platform charts and quotes | One computed table, every ticker |
| Technical indicators & signals | Pine Script, inside the chart | 421+ named signals, precomputed + custom |
| Stock screener | Interactive in-app screener | SQL across the whole market |
| Backtest-ready history | In-platform strategy tester | As-of queries — any past moment |
| Stock alerts | In-app and notification alerts | 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 TradingView — it’s the best place in the world to look at a chart. 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
TradingView is the right tool whenever a human is the consumer: charting and drawing, discretionary analysis, community ideas, and eyes-on-the-screen alerting — no one does that experience better, and Pine Script is a fine home for an indicator whose life is on a chart. And using both is natural: many builders keep TradingView open for their own eyes while their systems read computed state from Tickerbot.
questions
TradingView doesn’t offer a public market-data API — it’s a platform for humans, and its data lives in the chart. If you arrived here searching for one, what you likely need is what Tickerbot sells: the market as a queryable table — 421+ precomputed signals per ticker, SQL in, answers out, live, as-of, or on push. 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 — they serve different consumers. Keep TradingView for your eyes: charts, drawing, watching a setup develop. Point Tickerbot at your software: the screens, alerts, and systems that need the same market as data rather than pixels.
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.