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src/content/data-streams/reference/candlestick-api/index.mdx

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metadata:
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title: "Data Streams Candlestick API Reference | Chainlink Documentation"
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description: "Reference for the Chainlink Data Streams Candlestick API. Learn how to authenticate, list available symbols, query historical candlestick (OHLC) data, and stream live price updates over HTTP."
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keywords: ["Candlestick API", "OHLC", "HTTP Rest API", "API Client", "Trading View API"]
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keywords: ["Candlestick API", "OHLC", "HTTP Rest API", "API Client"]
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---
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import DataStreams from "@features/data-streams/common/DataStreams.astro"
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import { CopyText } from "@components"
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<DataStreams section="dsNotes" />
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The Candlestick API is designed and implemented to satisfy [TradingView data integration specifications](https://www.tradingview.com/broker-api-docs/rest-api-spec/#tag/Data-Integration), the industry standard for sharing open-high-low-close (OHLC) aggregated trading data.
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The Candlestick API provides open-high-low-close (OHLC) aggregated trading data.
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OHLC data is provided in two formats: [the standard OHLCV format](#get-candlestick-data-row-format), widely used by retail crypto exchanges, ideal for human readability and compatibility; [and the columnar format](#get-candlestick-data-column-format), preferred by HFT systems, optimized for efficient, large-scale data processing.
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src/content/data-streams/reference/overview.mdx

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| Feature | [Data Streams API](#data-streams-api) | [Candlestick API](#candlestick-api) |
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| ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Primary Use Case** | **Onchain** consumption by smart contracts | **Offchain** analytics, charting, dashboards |
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| **Primary Use Case** | Low-latency data for smart contracts | OHLC data for analytics, charting, and dashboards |
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| **Data Format** | Signed, verifiable data reports | Aggregated OHLC (candlestick) data |
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| **Interfaces** | SDKs ([Go](/data-streams/reference/data-streams-api/go-sdk), [Rust](/data-streams/reference/data-streams-api/rust-sdk)), [REST API](/data-streams/reference/data-streams-api/interface-api) & [WebSocket](/data-streams/reference/data-streams-api/interface-ws) | [REST API](/data-streams/reference/candlestick-api) (including a [streaming endpoint](/data-streams/reference/candlestick-api#get-streaming-price-updates)) |
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| **Authentication** | [HMAC Signature](/data-streams/reference/data-streams-api/authentication) (automatic with SDKs) | [JWT](/data-streams/reference/candlestick-api#authorize-and-get-token) (token-based) |
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## Data Streams API
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The [Data Streams API](/data-streams/reference/data-streams-api) provides cryptographically signed, verifiable data reports designed for **onchain** consumption by smart contracts. This comprehensive solution offers multiple integration paths to support applications that require low-latency, tamper-proof data.
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The [Data Streams API](/data-streams/reference/data-streams-api) provides cryptographically signed, verifiable data reports that can be used for onchain consumption by smart contracts. This comprehensive solution offers multiple integration paths to support applications that require low-latency, tamper-proof data.
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### Integration Methods
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## Candlestick API
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The [Candlestick API](/data-streams/reference/candlestick-api) provides historical and real-time OHLC (Open-High-Low-Close) data designed for **offchain** applications. Built to TradingView data integration specifications, it's optimized for analytics, charting, and dashboard applications.
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The [Candlestick API](/data-streams/reference/candlestick-api) provides historical and real-time OHLC (Open-High-Low-Close) data designed for offchain applications. Optimized for analytics, charting, and dashboard applications.
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### Integration Methods
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