openapi: 3.2.0
info:
description: "## Overview\n\nWelcome to Twelve Data developer docs — your gateway to comprehensive financial market data through a powerful and easy-to-use API.\nTwelve Data provides access to financial markets across over 50 global countries, covering more than 1 million public instruments, including stocks, forex, ETFs, mutual funds, commodities, and cryptocurrencies.\n\n## Quickstart\n\nTo get started, you'll need to sign up for an API key. Once you have your API key, you can start making requests to the API.\n\n### Step 1: Create Twelve Data account\n\nSign up on the Twelve Data website to create your account [here](https://twelvedata.com/register). This gives you access to the API dashboard and your API key.\n\n### Step 2: Get your API key\n\nAfter signing in, navigate to your [dashboard](https://twelvedata.com/account/api-keys) to find your unique API key. This key is required to authenticate all API and WebSocket requests.\n\n### Step 3: Make your first request\n\nTry a simple API call with cURL to fetch the latest price for Apple (AAPL):\n\n```\ncurl \"https://api.twelvedata.com/price?symbol=AAPL&apikey=your_api_key\"\n```\n\n### Step 4: Make a request from Python or Javascript\n\nUse our client libraries or standard HTTP clients to make API calls programmatically. Here’s an example in [Python](https://github.com/twelvedata/twelvedata-python) and [Node.js](https://github.com/twelvedata/twelvedata-node):\n\n#### Python (using official Twelve Data SDK):\n\n```python\nfrom twelvedata import TDClient\n\n# Initialize client with your API key\ntd = TDClient(apikey=\"your_api_key\")\n\n# Get latest price for Apple\nprice = td.price(symbol=\"AAPL\").as_json()\n\nprint(price)\n```\n\n#### JavaScript (Node.js):\n\n```javascript\nimport { MarketDataApi, CreateConfig } from \"@twelvedata/twelvedata-node\";\n\nconst config = CreateConfig('your_api_key');\nconst api = new MarketDataApi(config);\n\nasync function main() {\n const response = await api.getPrice({\n symbol: \"AAPL\",\n });\n console.log(response.data);\n}\n\nmain().catch(console.error);\n```\n\n### Step 5: Perform correlation analysis between Tesla and Microsoft prices\n\nFetch historical price data for Tesla (TSLA) and Microsoft (MSFT) and calculate the correlation of their closing prices:\n\n```python\nfrom twelvedata import TDClient\nimport pandas as pd\n\n# Initialize client with your API key\ntd = TDClient(apikey=\"your_api_key\")\n\n# Fetch historical price data for Tesla\ntsla_ts = td.time_series(\n symbol=\"TSLA\",\n interval=\"1day\",\n outputsize=100\n).as_pandas()\n\n# Fetch historical price data for Microsoft\nmsft_ts = td.time_series(\n symbol=\"MSFT\",\n interval=\"1day\",\n outputsize=100\n).as_pandas()\n\n# Align data on datetime index\ncombined = pd.concat(\n [tsla_ts['close'].astype(float), msft_ts['close'].astype(float)],\n axis=1,\n keys=[\"TSLA\", \"MSFT\"]\n).dropna()\n\n# Calculate correlation\ncorrelation = combined[\"TSLA\"].corr(combined[\"MSFT\"])\nprint(f\"Correlation of closing prices between TSLA and MSFT: {correlation:.2f}\")\n```\n\n### Authentication\n\nAuthenticate your requests using one of these methods:\n\n#### Query parameter method\n```\nGET https://api.twelvedata.com/endpoint?symbol=AAPL&apikey=your_api_key\n```\n\n#### HTTP header method (recommended)\n```\nAuthorization: apikey your_api_key\n```\n\n##### API key useful information\n
\n- Demo API key (
apikey=demo) available for demo requests \n- Personal API key required for full access
\n- Premium endpoints and data require higher-tier plans (testable with trial symbols)
\n
\n\n### API endpoints\n\n Service | Base URL |\n---------|----------|\n REST API | `https://api.twelvedata.com` |\n WebSocket | `wss://ws.twelvedata.com` |\n\n### Parameter guidelines\n\n- Separator: Use
& to separate multiple parameters \n- Case sensitivity: Parameter names are case-insensitive (
symbol=AAPL = symbol=aapl) \n- Multiple values: Separate with commas where supported
\n
\n\n### Response handling\n\n#### Default format\nAll responses return JSON format by default unless otherwise specified.\n\n#### Null values\nImportant: Some response fields may contain `null` values when data is unavailable for specific metrics. This is expected behavior, not an error.\n\n##### Best Practices:\n\n- Always implement
null value handling in your application \n- Use defensive programming techniques for data processing
\n- Consider fallback values or error handling for critical metrics
\n
\n\n#### Error handling\nStructure your code to gracefully handle:\n\n- Network timeouts
\n- Rate limiting responses
\n- Invalid parameter errors
\n- Data unavailability periods
\n
\n\n##### Best practices\n\n- Rate limits: Adhere to your plan’s rate limits to avoid throttling. Check your dashboard for details.
\n- Error handling: Implement retry logic for transient errors (e.g.,
429 Too Many Requests). \n- Caching: Cache responses for frequently accessed data to reduce API calls and improve performance.
\n- Secure storage: Store your API key securely and never expose it in client-side code or public repositories.
\n
\n\n## Errors\n\nTwelve Data API employs a standardized error response format, delivering a JSON object with `code`, `message`, and `status` keys for clear and consistent error communication.\n\n### Codes\n\nBelow is a table of possible error codes, their HTTP status, meanings, and resolution steps:\n\n Code | status | Meaning | Resolution |\n --- | --- | --- | --- |\n **400** | Bad Request | Invalid or incorrect parameter(s) provided. | Check the `message` in the response for details. Refer to the API Documentation to correct the input. |\n **401** | Unauthorized | Invalid or incorrect API key. | Verify your API key is correct. Sign up for a key here. |\n **403** | Forbidden | API key lacks permissions for the requested resource (upgrade required). | Upgrade your plan here. |\n **404** | Not Found | Requested data could not be found. | Adjust parameters to be less strict as they may be too restrictive. |\n **414** | Parameter Too Long | Input parameter array exceeds the allowed length. | Follow the `message` guidance to adjust the parameter length. |\n **429** | Too Many Requests | API request limit reached for your key. | Wait briefly or upgrade your plan here. |\n **500** | Internal Server Error | Server-side issue occurred; retry later. | Contact support here for assistance. |\n\n### Example error response\n\nConsider the following invalid request:\n\n```\nhttps://api.twelvedata.com/time_series?symbol=AAPL&interval=0.99min&apikey=your_api_key\n```\n\nDue to the incorrect `interval` value, the API returns:\n\n```json\n{\n \"code\": 400,\n \"message\": \"Invalid **interval** provided: 0.99min. Supported intervals: 1min, 5min, 15min, 30min, 45min, 1h, 2h, 4h, 8h, 1day, 1week, 1month\",\n \"status\": \"error\"\n}\n```\n\nRefer to the API Documentation for valid parameter values to resolve such errors.\n\n## Libraries\n\nTwelve Data provides a growing ecosystem of libraries and integrations to help you build faster and smarter in your preferred environment. Official libraries are actively maintained by the Twelve Data team, while selected community-built libraries offer additional flexibility.\n\nA full list is available on our [GitHub profile](https://github.com/search?q=twelvedata).\n\n### Official SDKs\n\n\n### AI integrations\n\n- Twelve Data MCP Server: Repository — Model Context Protocol (MCP) server that provides seamless integration with AI assistants and language models, enabling direct access to Twelve Data's financial market data within conversational interfaces and AI workflows.
\n- Twelve Data integration for OpenClaw: Clawhub skill — Integration for the OpenClaw platform, allowing users to leverage Twelve Data's API within their OpenClaw applications.
\n- Twelve Data NEAR Agent: NEAR Agent — Access Twelve Data's API directly from NEAR's AI agent platform, enabling users to retrieve financial data and insights within their NEAR AI agent workflows.
\n
\n\n### Spreadsheet add-ons\n\n\n### Community libraries\n\nThe community has developed libraries in several popular languages. You can explore more community libraries on [GitHub](https://github.com/search?q=twelvedata).\n\n\n### Other Twelve Data repositories\n\n- searchindex (Go): Repository — In-memory search index by strings
\n- ws-tools (Python): Repository — Utility tools for WebSocket stream handling
\n
\n\n### API specification\n\n- OpenAPI / Swagger: Access the complete API specification in OpenAPI format. You can use this file to automatically generate client libraries in your preferred programming language, explore the API interactively via Swagger tools, or integrate Twelve Data seamlessly into your AI and LLM workflows.
\n
"
title: Twelve Data Money Market Funds API
version: 0.0.1
servers:
- url: https://api.twelvedata.com/
security:
- authorizationHeader:
- '[]'
- queryParameter:
- '[]'
tags:
- name: money_market_funds
paths:
/money_market_funds/list:
get:
description: The money market funds directory endpoint provides a list of money market funds, sorted in descending order by their total fund size. This endpoint is useful for retrieving an organized overview of available money market funds.
operationId: GetMoneyMarketFundsList
parameters:
- description: Filter by symbol (ISIN or ticker)
in: query
name: symbol
schema:
type: string
x-go-name: Symbol
x-order: '10'
x-go-name: Symbol
x-order: '10'
example: IE00BK8M8M59
- description: The format of the response data
in: query
name: format
schema:
$ref: '#/components/schemas/FormatMoneyMarketFundsListEnum'
x-go-name: Format
x-order: '30'
- description: The separator used in the CSV response data
in: query
name: delimiter
schema:
default: ;
type: string
x-go-name: Delimiter
x-order: '40'
x-go-name: Delimiter
x-order: '40'
- description: Page number
in: query
name: page
schema:
default: 1
format: int64
type: integer
x-go-name: Page
x-order: '50'
x-go-name: Page
x-order: '50'
- description: Number of records in response
in: query
name: outputsize
schema:
default: 100
format: int64
type: integer
x-go-name: PageSize
x-order: '60'
x-go-name: PageSize
x-order: '60'
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/GetMoneyMarketFundsList_200_response'
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiBadRequestErrorResponseBody'
description: ''
'401':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiUnauthorizedErrorResponseBody'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiForbiddenErrorResponseBody'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiNotFoundErrorResponseBody'
description: ''
'414':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiParameterTooLongErrorResponseBody'
description: ''
'429':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiTooManyRequestsErrorResponseBody'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiInternalServerErrorResponseBody'
description: ''
summary: MMFs directory
tags:
- money_market_funds
x-additional-notes: Basic, Grow, and Pro plans (individual) and Venture plan (business) return up to 50 records. For complete data, upgrade to the Ultra plan (individual), Enterprise (business), or Custom plan (business).
x-api-credits-cost: '1'
x-api-credits-type: request
x-badge: New
x-group: Money market funds
x-order: '10'
x-starting-plan: ultra,enterprise
x-url-hash: money-market-funds-list
/money_market_funds/world:
get:
description: The money market fund full data endpoint provides detailed information about a global money market fund. It returns a comprehensive snapshot of the fund, including its identity, screener metrics (fund size, liquidity, weighted average maturity), yields, key facts, risk indicator, and key risks. This endpoint is essential for users seeking in-depth insights into a specific money market fund.
operationId: GetMoneyMarketFundsWorld
parameters:
- description: Symbol ticker of money market fund
in: query
name: symbol
schema:
type: string
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
example: IE00BK8M8M59
- description: Filter by financial instrument global identifier (FIGI). This parameter is available on the Ultra plan (individual) and the Enterprise plan (business) and above.
in: query
name: figi
schema:
type: string
x-go-name: Figi
x-order: '20'
x-required-group: symbol
x-go-name: Figi
x-order: '20'
x-required-group: symbol
example: BBG00HMMLCH1
- description: Filter by international securities identification number (ISIN). ISIN access is activating in the Data add-ons section
in: query
name: isin
schema:
type: string
x-go-name: Isin
x-order: '30'
x-required-group: symbol
x-go-name: Isin
x-order: '30'
x-required-group: symbol
example: IE00BK8M8M59
- description: Number of decimal places for floating values
in: query
name: dp
schema:
default: 5
format: int64
type: integer
x-go-name: Dp
x-order: '40'
x-go-name: Dp
x-order: '40'
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/GetMoneyMarketFundsWorld_200_response'
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiBadRequestErrorResponseBody'
description: ''
'401':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiUnauthorizedErrorResponseBody'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiForbiddenErrorResponseBody'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiNotFoundErrorResponseBody'
description: ''
'414':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiParameterTooLongErrorResponseBody'
description: ''
'429':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiTooManyRequestsErrorResponseBody'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiInternalServerErrorResponseBody'
description: ''
summary: MMF full data
tags:
- money_market_funds
x-api-credits-cost: '1000'
x-api-credits-type: request
x-badge: New
x-group: Money market funds
x-order: '20'
x-starting-plan: ultra,enterprise
x-url-hash: money-market-funds-all-data
x-required:
anyOf:
- required:
- symbol
- figi
- isin
components:
schemas:
GetMoneyMarketFundsList_200_response:
properties:
data:
description: List of money market funds
items:
$ref: '#/components/schemas/MoneyMarketFundsListResponseListItem'
type: array
x-go-name: Data
x-order: 10
count:
description: Total number of matching funds
examples:
- 168
format: int64
type: integer
x-go-name: Count
x-order: 20
page:
description: Current page number
examples:
- 1
format: int64
type: integer
x-go-name: Page
x-order: 30
page_size:
description: Number of records per page
examples:
- 100
format: int64
type: integer
x-go-name: PageSize
x-order: 40
status:
description: Response status
examples:
- ok
type: string
x-go-name: Status
x-order: 50
required:
- count
- data
- page
- page_size
- status
type: object
ApiForbiddenErrorResponseBody:
properties:
code:
description: Error code
examples:
- 403
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- API key lacks permissions for the requested resource
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
ApiBadRequestErrorResponseBody:
properties:
code:
description: Error code
examples:
- 400
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- Invalid request
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
FormatMoneyMarketFundsListEnum:
default: json
enum:
- json
- csv
type: string
x-go-name: FormatMoneyMarketFundsList
x-order: '30'
ApiInternalServerErrorResponseBody:
properties:
code:
description: Error code
examples:
- 500
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- Internal server error
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
GetMoneyMarketFundsWorld_200_response:
properties:
status:
description: Response status
examples:
- ok
type: string
x-go-name: Status
x-order: 20
money_market_fund:
$ref: '#/components/schemas/MoneyMarketFundsWorldResponseItem'
required:
- money_market_fund
- status
type: object
ApiNotFoundErrorResponseBody:
properties:
code:
description: Error code
examples:
- 404
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- symbol or figi parameter is missing or invalid
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
MoneyMarketFundsListResponseListItem:
properties:
symbol:
description: Fund symbol (ISIN or ticker)
examples:
- IE00BK8M8M59
type: string
x-go-name: Symbol
x-order: 10
name:
description: Fund name
examples:
- BlackRock ICS Sterling Liquid Environmentally Aware Fund
type: string
x-go-name: Name
x-order: 20
currency:
description: Currency in which the fund is denominated
examples:
- GBP
type: string
x-go-name: Currency
x-order: 30
share_class:
description: Share class
examples:
- Premier Dis
type: string
x-go-name: ShareClass
x-order: 40
fund_family:
description: Investment company family that manages the fund
examples:
- BlackRock ICS
type: string
x-go-name: FundFamily
x-order: 50
fund_type:
description: Type of fund
examples:
- Short-Term Variable NAV
type: string
x-go-name: FundType
x-order: 60
regulatory_structure:
description: Regulatory structure
examples:
- UCITS
type: string
x-go-name: RegulatoryStructure
x-order: 70
domicile:
description: Country of fund domicile (ISO 3166-1 alpha-2 code)
examples:
- IE
type: string
x-go-name: Domicile
x-order: 80
issuing_company:
description: Company that issues the fund
examples:
- BlackRock Asset Management Ireland Limited
type: string
x-go-name: IssuingCompany
x-order: 90
required:
- name
- symbol
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
ApiTooManyRequestsErrorResponseBody:
properties:
code:
description: Error code
examples:
- 429
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- You have run out of API credits for the current minute. 1000 API credits were used, with the current limit being 987. Wait for the next minute or consider upgrading your plan at https://twelvedata.com/pricing
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
ApiUnauthorizedErrorResponseBody:
properties:
code:
description: Error code
examples:
- 401
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- apikey parameter is incorrect or not specified
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
MoneyMarketFundsWorldResponseItem:
properties:
symbol:
description: Fund symbol (ISIN or ticker)
examples:
- IE00BK8M8M59
type: string
x-go-name: Symbol
x-order: 10
name:
description: Fund name
examples:
- BlackRock ICS Sterling Liquid Environmentally Aware Fund
type: string
x-go-name: Name
x-order: 40
currency:
description: Currency in which the fund is denominated
examples:
- GBP
type: string
x-go-name: Currency
x-order: 50
share_class:
description: Share class
examples:
- Premier Dis
type: string
x-go-name: ShareClass
x-order: 60
fund_type:
description: Type of fund
examples:
- Short-Term Variable NAV
type: string
x-go-name: FundType
x-order: 70
total_fund_size_millions:
description: Total fund size in millions
examples:
- 12345.67
format: double
type: number
x-go-name: TotalFundSizeMillions
x-order: 80
daily_factor:
description: Daily distribution factor
format: double
type: number
x-go-name: DailyFactor
x-order: 90
daily_liquidity_pct_nav:
description: Daily liquid assets as a percentage of NAV
examples:
- 45.6
format: double
type: number
x-go-name: DailyLiquidityPctNav
x-order: 100
weekly_liquidity_pct_nav:
description: Weekly liquid assets as a percentage of NAV
examples:
- 67.8
format: double
type: number
x-go-name: WeeklyLiquidityPctNav
x-order: 110
wam_days:
description: Weighted average maturity in days
examples:
- 38
format: int64
type: integer
x-go-name: WamDays
x-order: 120
wal_days:
description: Weighted average life in days
examples:
- 62
format: int64
type: integer
x-go-name: WalDays
x-order: 130
daily_netflows:
description: Daily net flows
format: double
type: number
x-go-name: DailyNetflows
x-order: 140
as_of_date:
description: Date the snapshot data is as of
examples:
- '2024-12-31'
type: string
x-go-name: AsOfDate
x-order: 150
fund_overview:
description: Fund overview text
type: string
x-go-name: FundOverview
x-order: 160
nav:
description: Net asset value
examples:
- 1
format: double
type: number
x-go-name: Nav
x-order: 170
yield_1m:
description: 1-month yield
examples:
- 5.12
format: double
type: number
x-go-name: Yield1m
x-order: 180
yield_3m:
description: 3-month yield
examples:
- 5.05
format: double
type: number
x-go-name: Yield3m
x-order: 200
yield_6m:
description: 6-month yield
examples:
- 4.98
format: double
type: number
x-go-name: Yield6m
x-order: 210
yield_1y:
description: 1-year yield
examples:
- 4.85
format: double
type: number
x-go-name: Yield1y
x-order: 220
key_facts:
description: Key facts about the fund
type: object
x-go-name: KeyFacts
x-order: 230
risk_indicator:
description: Risk indicator details
type: object
x-go-name: RiskIndicator
x-order: 240
key_risks:
description: Key risks of the fund
type: object
x-go-name: KeyRisks
x-order: 250
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
ApiParameterTooLongErrorResponseBody:
properties:
code:
description: Error code
examples:
- 414
format: int64
type: integer
x-go-name: Code
message:
description: Error message
examples:
- Input parameter array exceeds the allowed length
type: string
x-go-name: Message
status:
description: Error status
examples:
- error
type: string
x-go-name: Status
required:
- code
- message
- status
type: object
x-go-package: gitlab.atlasgroup.ai/twelvedata/api/route/description
securitySchemes:
authorizationHeader:
description: Enter the token with the `apikey ` prefix, e.g. "apikey abcde12345".
in: header
name: Authorization
type: apiKey
queryParameter:
in: query
name: apikey
type: apiKey
x-group-list:
- description: Access real-time and historical market prices—time series and exchange rates—for equities, forex, cryptocurrencies, ETFs, and more. These endpoints form the foundation for any trading or data-driven application.
name: Market data
order: 10
- children:
- description: Asset Catalog endpoints are your starting point. They return the complete inventory of tradeable instruments available through Twelve Data — over 1,000,000 symbols across 50+ countries. You query a catalog first to discover which symbols exist, then pass those symbols to price, fundamental, or indicator endpoints.
name: Asset catalogs
order: 10
- description: Discovery endpoints help you find instruments when you don't already know the exact identifier. The Asset Catalog is the phone book; Discovery is the search engine on top of it.
name: Discovery
order: 20
- description: 'Market endpoints answer operational questions about exchanges themselves: which ones are open right now, what are their trading hours, and how far back does data go for a given instrument?'
name: Markets
order: 30
- description: 'Metadata endpoints return the lookup tables and enumerations that define valid parameter values across the entire API. They answer: what instrument types exist? What intervals are supported? Which countries are covered? What technical indicators can I use?'
name: Supporting metadata
order: 40
description: Lookup static metadata—symbol lists, exchange details, currency information-to filter, validate, and contextualize your core data calls. Ideal for building dropdowns, mappings, and ensuring data consistency.
name: Reference data
order: 20
- description: In-depth company and fund financials—income statements, balance sheets, cash flows, profiles, corporate events, and key ratios. Unlock comprehensive datasets for valuation, screening, and fundamental research.
name: Fundamentals
order: 30
- name: Currencies
order: 35
- description: 'ETF-focused metadata and analytics: universe lists, family and type groupings, NAV snapshots, performance metrics, risk measures, and current fund composition. Tailored to the unique characteristics and reporting cadence of exchange-traded funds.'
name: ETFs
order: 40
- description: 'Mutual-fund-specific listings and snapshots: fund directories, issuer families, fund types, NAV history, dividend records, key ratios, and portfolio holdings. Ideal for long-term performance analysis and portfolio attribution.'
name: Mutual funds
order: 50
- description: 'Money-market-fund directories and full-data snapshots: fund listings ranked by fund size, plus screener metrics (fund size, liquidity, weighted average maturity), yields, key facts, and risk indicators. Focused on short-term, low-risk cash-management instruments for liquidity and capital-preservation analysis.'
name: Money market funds
order: 55
- children:
- description: Plotted directly on the price chart to smooth or envelope price data, highlighting trend direction, support/resistance, and mean-reversion levels (e.g. moving averages, Bollinger Bands, Parabolic SAR, Ichimoku Cloud, Keltner Channels, McGinley Dynamic).
name: Overlap studies
order: 10
- description: Oscillators that measure the speed or strength of price movement, helping detect overbought/oversold conditions, divergences, and shifts in trend momentum (e.g. RSI, MACD, ROC, Stochastics, ADX, CCI, Coppock Curve, TRIX).
name: Momentum indicators
order: 20
- description: Use trading volume to confirm price moves or warn of exhaustion—volume and price in tandem suggest trend strength, while divergences can signal reversals (e.g. OBV, Chaikin AD, Accumulation/Distribution Oscillator).
name: Volume indicators
order: 30
- description: Quantify the range or dispersion of price over time to gauge risk, size stops, or identify breakouts (e.g. ATR, NATR, True Range) and adaptive overlays like SuperTrend.
name: Volatility indicators
order: 40
- description: Convert raw OHLC data into derived series or aggregated values to feed other indicators or reveal different perspectives on price (e.g. typical price, HLC3, weighted close, arithmetic transforms like SUM, AVG, LOG, SQRT).
name: Price transform
order: 50
- description: Detect and follow recurring periodic patterns in price action using Hilbert Transform–based measures of cycle period and phase (e.g. HT_SINE, HT_DCPERIOD, HT_DCPHASE, HT_PHASOR, HT_TRENDMODE).
name: Cycle indicators
order: 60
- description: Scan bars or bar‐groups for predefined candlestick patterns that historically signal continuation or reversal setups (e.g. Doji, Hammer, Engulfing, Three Black Crows, Morning Star, Dark Cloud Cover, etc.).
name: Pattern recognition
order: 70
- description: Compute fundamental statistical metrics on price series—dispersion, regression, correlation, and forecasting components—for standalone analysis or as inputs to other models (e.g. STDDEV, VAR, LINEARREG, CORREL, TSF, BETA).
name: Statistic functions
order: 80
- name: Math transform
order: 90
description: On-demand calculation of popular indicators (SMA, EMA, RSI, MACD, Bollinger Bands, etc.) over any supported time series. Streamline chart overlays, signal generation, and backtesting without external libraries.
name: Technical indicators
order: 60
- description: Forward-looking and consensus analytics—earnings and revenue estimates, EPS trends and revisions, growth projections, analyst recommendations and ratings, price targets, and other consensus metrics. Perfect for incorporating expert forecasts and sentiment into your models and dashboards.
name: Analysis
order: 70
- description: 'Compliance and filings data: insider transactions, SEC reports, governance documents, and more. Critical for audit trails, due-diligence workflows, and risk-management integrations.'
name: Regulatory
order: 80
- description: High-throughput and management endpoints for power users—submit and monitor batch jobs to pull large datasets asynchronously, track your API usage and quotas programmatically, and access other developer-focused tools for automating and scaling your data workflows.
name: Advanced
order: 90
x-original-swagger-version: '2.0'