# TradingView Quote + TA Batch (`saffron_discussion/tradingview-quote-ta`) Actor

Batch quotes and technical-analysis summaries for a symbol list. Portfolio checks and agent research packs.

- **URL**: https://apify.com/saffron\_discussion/tradingview-quote-ta.md
- **Developed by:** [barry Alan](https://apify.com/saffron_discussion) (community)
- **Categories:** Developer tools, AI, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 quote + ta cards

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## TradingView Quote + TA Batch

Batch-fetch **last quotes** and optional **technical-analysis summaries** for a list of symbols. One Dataset row per ticker.

Useful for portfolio checks, pre-market packs, and AI agents. Powered by [TradingView Data API](https://www.tradingviewapi.com) (`POST /api/quote/batch` + `GET /api/ta/{symbol}`). **Not** official TradingView. **Not** a WebSocket stream.

### What you get

You pass many symbols; the Actor:

1. Splits them into chunks of **10** (upstream quote-batch limit).
2. Optionally fetches a **multi-timeframe TA summary** per symbol (`1`, `5`, `15`, `60`, `120`, `240`, `1D`, `1W`, `1M`).
3. Writes one row with a flattened last price plus the raw quote and TA objects.

| Field | Meaning |
|-------|---------|
| `symbol` | `EXCHANGE:TICKER` |
| `last` | Last price (`lp`) |
| `changePercent` | Change % (`chp`) |
| `quote` | Full quote payload |
| `ta` | TA summary by timeframe (or `null` if `includeTa` is false) |
| `error` | Set if TA (or the row) failed; quote may still be present |
| `scrapedAt` | ISO timestamp |

TA here is a **signal summary** (oscillators / moving averages style scores), not OHLCV candles. Use a price/OHLCV API if you need bars.

### How to use

1. Set `symbols` (stocks, crypto, etc. in `EXCHANGE:TICKER` form).
2. Leave `includeTa` = `true` unless you only need last price.
3. `maxSymbols` caps the list (default 20, max **50**).
4. Run. Download JSON / CSV / Excel, or call the Actor from Make / n8n.

#### Example

```json
{
  "symbols": ["NASDAQ:AAPL", "NASDAQ:NVDA", "BINANCE:BTCUSDT"],
  "includeTa": true,
  "maxSymbols": 20
}
```

Three symbols ⇒ three Dataset rows. Quotes are requested in one batch of three; TA is one request per symbol.

### Input

| Field | Required | Description |
|-------|----------|-------------|
| `symbols` | yes | `EXCHANGE:TICKER` list |
| `includeTa` | no | Fetch `/api/ta/{symbol}` (default `true`) |
| `maxSymbols` | no | Cap (default 20, max 50) |

No user API key is required.

### Pricing (pay per event)

| Event | When |
|-------|------|
| `quote-ta-card` | Once per symbol written |

20 symbols ⇒ 20 events, whether or not TA is included. If a charge budget is hit, the Actor stops and keeps rows already pushed.

### Limits and notes

- Quote batch is chunked at 10 symbols per upstream request.
- Quotes are delayed/snapshot, not tick-by-tick.
- TA is not full candle history.
- Not investment advice. Unofficial wrapper around [TradingView Data API](https://www.tradingviewapi.com).

### Related Actors

- [Fundamentals Card](https://apify.com/saffron_discussion/tradingview-fundamentals) — company, PE, targets, dividends
- [Screener Export](https://apify.com/saffron_discussion/tradingview-screener)
- [Leaderboard Snapshot](https://apify.com/saffron_discussion/tradingview-leaderboard)
- [News & Calendar Digest](https://apify.com/saffron_discussion/tradingview-news-calendar)

# Actor input Schema

## `symbols` (type: `array`):

Symbols

## `includeTa` (type: `boolean`):

Include technical analysis

## `maxSymbols` (type: `integer`):

Max symbols

## `apiKey` (type: `string`):

API key override

## Actor input object example

```json
{
  "symbols": [
    "NASDAQ:AAPL",
    "NASDAQ:MSFT",
    "BINANCE:BTCUSDT"
  ],
  "includeTa": true,
  "maxSymbols": 20
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset with one quote/TA card per symbol.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "symbols": [
        "NASDAQ:AAPL",
        "NASDAQ:MSFT",
        "BINANCE:BTCUSDT"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saffron_discussion/tradingview-quote-ta").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "symbols": [
        "NASDAQ:AAPL",
        "NASDAQ:MSFT",
        "BINANCE:BTCUSDT",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("saffron_discussion/tradingview-quote-ta").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "symbols": [
    "NASDAQ:AAPL",
    "NASDAQ:MSFT",
    "BINANCE:BTCUSDT"
  ]
}' |
apify call saffron_discussion/tradingview-quote-ta --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saffron_discussion/tradingview-quote-ta"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RyhYGwGyRQZsZI93S/builds/Q9dfqAoaDE7b5ykA2/openapi.json