MCP100 verdict
Not currently recommended. Official financial-data MCP with a relatively narrow risk profile, but not yet enough MCP-specific ecosystem evidence for Selected.
MCP100 Assessment
Editorial verdict
Reviewed September 11, 2026
Task Fit
Mapped
Specialized workflows
Trust
Status warning
MCP-specific adoption remains the main promotion gap.
Maintenance
Date unavailable
No dated repository or package update is currently stored.
Popularity
Signals unavailable
No independently comparable adoption metric is currently stored.
Evidence scope
No MCP-specific repository metric is stored
No MCP-specific package metric is stored
Stars observation date unavailable · Downloads observation date unavailable
Publisher activity observed September 11, 2026
Current source snapshot
Source relationship: First-party MCP
Reviewed September 11, 2026
Evidence-backed setup
Choose your MCP client. A client connects to the MCP server; the language model is selected inside that client. Only stored, source-backed configurations are shown.
Transport not recorded
No sufficient client-specific setup evidence has been stored from the publisher or client documentation.
Publisher-documented setup is not the same as MCP100 execution testing. “MCP100 logic checked” means the stored configuration shape was reviewed, not that third-party MCP software was run.
Evidence checked 2026-09-11T00:00:00.000Z
Type-appropriate, source-backed setup for this mcp server profile.
Loading optional publisher installation details…
uvx marketdata-mcp-server <API_KEY>Capability
Official financial-data MCP with a relatively narrow risk profile, but not yet enough MCP-specific ecosystem evidence for Selected.
Time series, quotes, options, search, and market status.
Company fundamentals, news/sentiment, and related market intelligence.
Read financial/economic datasets exposed by Alpha Vantage APIs.
Technical-analysis indicator functions exposed directly as MCP tools.
Not measured yet
Estimated token footprint of the MCP tool schemas exposed to the agent.
Reviewed access
Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.
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Alpha Vantage is listed as First-party MCP in MCP100’s current evidence.
Current official resources:
From the publisher README
Original client setup and configuration retained from the publisher documentation.
Publisher-documented clients
These names appear in the publisher's installation documentation. MCP100-verified configurations are shown separately above when available.
To use the server, get your free Alpha Vantage API key, copy it to your clipboard, then follow the instructions below for the agentic tool/platform of your interest.
The Alpha Vantage functions are exposed directly as MCP tools. MCP clients discover the available tools with tools/list and invoke them with tools/call.
⭐ View MCP source code on Github
👉 Any questions? Please contact support@alphavantage.co
Remote Server Connection (Recommended, OAuth):
https://mcp.alphavantage.co/mcp
When you connect, an authentication page opens where you enter and authorize your Alpha Vantage API key. If you would like to update/rotate the API key in the future, simple disconnect then reconnect the MCP server and enter the new key in the authentication page.
Remote Server Connection (Legacy, API key in URL, deprecated):
https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY
Local Server Connection:
uvx marketdata-mcp-server YOUR_API_KEY
💬📊 Chatbots
Requirements:
📺 Watch the setup tutorial. (Click image below.)
The Alpha Vantage MCP Server is already listed in Claude's official Connectors directory. Getting started is easy:
If you would like to update/rotate the API key in the future, simply disconnect then reconnect to the MCP server and follow steps #6 and #7 again. This brief video shows the key rotation process:
See Claude Desktop MCP docs for more info.
Install uv (a modern Python package and project manager):
curl -LsSf https://astral.sh/uv/install.sh | sh
Open Claude Desktop developer settings and edit your claude_desktop_config.json file to add the following configuration:
{
"mcpServers": {
"alphavantage": {
"command": "uvx",
"args": ["marketdata-mcp-server", "YOUR_API_KEY"]
}
}
}
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
Requirements:
The Alpha Vantage MCP Server is already listed in ChatGPT's official app directory. Getting started is easy:
If you would like to update/rotate the API key in the future, simply disconnect then reconnect the MCP server and follow steps #4 and #5 again.
Test your connection with a sample query:
Give me last week's OHLCV data for IBM
📺 Below are a few examples of ChatGPT performing various stock analysis & charting tasks:
Requirements:
Setup:
+ button → Connectors → Add connector → Customhttps://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY (replace YOUR_API_KEY with your actual Alpha Vantage API key).
🤖📈 Agentic systems
Requirements:
📺 Watch the setup tutorial. (Click image below.)
To connect a Foundry agent to this MCP server:
https://mcp.alphavantage.co/mcpRecommended Agent Instructions:
Add the following to your agent's system prompt to optimize performance:
You are a helpful financial agent with access to market data through Alpha Vantage MCP Server.
The Alpha Vantage functions (TIME_SERIES_DAILY, RSI, COMPANY_OVERVIEW, etc.) are exposed
directly as MCP tools. Call them by name with their parameters, e.g.
TIME_SERIES_DAILY(symbol="IBM", outputsize="compact").
Always use Alpha Vantage MCP Server for market data queries. Do not answer from prior knowledge or web search.
Requirements:
hermes CLI availableAdd the server and start the authorization flow:
hermes mcp add alphavantage --url https://mcp.alphavantage.co/mcp --auth oauth
hermes mcp login alphavantage
Or configure it directly in config.yaml:
mcp_servers:
alphavantage:
url: https://mcp.alphavantage.co/mcp
auth: oauth
A browser consent page opens where you enter and authorize your Alpha Vantage API key. If you would like to update/rotate the API key in the future, run hermes mcp login alphavantage (or hermes mcp reauth alphavantage) again and enter the new key on the consent page.
Verify the connection with:
hermes mcp test alphavantage
For non-interactive environments (e.g., terminal-only setups where the browser-based OAuth flow is not possible), put the API key in the server URL instead. Add the server to your config.yaml under mcp_servers:
mcp_servers:
alphavantage:
url: https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY
Replace YOUR_API_KEY with your actual Alpha Vantage API key. To update/rotate the API key, simply change the key in the URL.
Verify the connection with:
hermes mcp test alphavantage
Requirements:
📺 Watch the setup tutorial (click image below)
Requirements:
📺 Watch the setup tutorial. (Click image below.)
To connect OpenAI Agent Builder to this MCP server:
https://mcp.alphavantage.co/mcpAlpha Vantage MCP Server (or any name you prefer)Financial market data and technical indicators (or any description you prefer)Recommended Agent Instructions:
Add the following instruction to your agent's configuration to optimize performance:
You are a helpful financial agent with access to market data through Alpha Vantage MCP Server.
The Alpha Vantage functions (TIME_SERIES_DAILY, RSI, COMPANY_OVERVIEW, etc.) are exposed
directly as MCP tools. Call them by name with their parameters, e.g.
TIME_SERIES_DAILY(symbol="AAPL", outputsize="compact").
To use the Alpha Vantage MCP server with OpenAI Agents SDK, see our example agent that demonstrates:
The example includes a complete setup guide and configuration templates.
💻💵 Coding tools
Requirements:
The Alpha Vantage MCP Server is already listed in Claude's official Connectors directory. Getting started is easy:
If you would like to update/rotate the API key in the future, simply disconnect then reconnect the MCP server and follow steps #6 and #7 again. This brief video shows the key rotation process.
First, install uv (a modern Python package and project manager):
curl -LsSf https://astral.sh/uv/install.sh | sh
Then run:
claude mcp add alphavantage -- uvx marketdata-mcp-server YOUR_API_KEY
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
Run claude in your terminal from your project directory.
Then connect with:
/mcp
Requirements:
See OpenAI Codex for more information.
Note: Codex and ChatGPT share the same account, so a plugin installed in one should be available for the other.
The Alpha Vantage MCP Server is already listed in ChatGPT's official app directory. Getting started is easy:
If you would like to update/rotate the API key in the future, simply disconnect then reconnect the MCP server and follow steps #4 and #5 again.
Test your connection with a sample query:
Give me last week's OHLCV data for IBM
📺 Watch the tutorial. (Click image below.)
⚠️ Legacy setup notice: The initial connection steps demonstrate the legacy local method. For new installations, we strongly recommend following the OAuth instructions above.
Starting at 01:41, the video covers troubleshooting and building end-to-end applications powered by Alpha Vantage market data and dynamic visualizations.
Prefer the command line? Getting started is easy:
codex mcp add alphavantage --url https://mcp.alphavantage.co/mcp
codex from your project directory/mcp
If you would like to update/rotate the API key in the future, simply run codex mcp add again and enter the new key in the authentication page.
Test your connection with a sample query:
Give me last week's OHLCV data for IBM
See VS Code MCP docs for more info.
Create .vscode/mcp.json (your VS Code MCP config file) in your workspace, and paste into it one of the following configurations, depending on whether you’re connecting remotely or running the server locally.
Paste the following into .vscode/mcp.json:
{
"servers": {
"alphavantage": {
"type": "http",
"url": "https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY"
}
}
}
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
First, install uv (a modern Python package and project manager):
curl -LsSf https://astral.sh/uv/install.sh | sh
Then, paste the following into .vscode/mcp.json:
{
"servers": {
"alphavantage": {
"type": "stdio",
"command": "uvx",
"args": ["marketdata-mcp-server", "YOUR_API_KEY"]
}
}
}
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
Open the Chat view and select Agent mode
See Continue MCP docs for more information. Continue uses its own configuration format (not VS Code's mcp.json).
Create .continue/mcpServers/alphavantage.yaml in your workspace, and paste into it one of the following configurations, depending on whether you’re connecting remotely or running the server locally. (Recommended: Remote)
Paste the following into .continue/mcpServers/alphavantage.yaml:
name: Alpha Vantage MCP Server
version: 1.0
schema: v1
mcpServers:
- name: alphavantage
type: streamable-http
url: https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
First, install uv (a modern Python package and project manager):
curl -LsSf https://astral.sh/uv/install.sh | sh
Then, paste the following into .continue/mcpServers/alphavantage.yaml:
name: Alpha Vantage MCP Server
version: 1.0
schema: v1
mcpServers:
- name: alphavantage
type: stdio
command: uvx
args:
- marketdata-mcp-server
- YOUR_API_KEY
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
Open the Continue panel and select Agent mode. Set up your LLM provider.
See Cursor MCP docs for more information.
Paste one of the following configurations into your Cursor ~/.cursor/mcp.json file, depending on whether you’re connecting remotely or running the server locally. You may also install in a specific project by creating .cursor/mcp.json in your project folder.
Configure Cursor by editing ~/.cursor/mcp.json:
{
"mcpServers": {
"alphavantage": {
"url": "https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY"
}
}
}
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
First, install uv (a modern Python package and project manager):
curl -LsSf https://astral.sh/uv/install.sh | sh
Then, paste the following into your Cursor ~/.cursor/mcp.json file:
{
"mcpServers": {
"alphavantage": {
"command": "uvx",
"args": ["marketdata-mcp-server", "YOUR_API_KEY"]
}
}
}
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
See Gemini CLI Configuration for more information.
Run one of the following commands, depending on whether you’re connecting remotely or running the server locally.
Gemini CLI Remote Server Connection (Recommended):
gemini mcp add -t http alphavantage https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
Gemini CLI Local Server Connection:
Install uv (a modern Python package and project manager):
curl -LsSf https://astral.sh/uv/install.sh | sh
Then run:
gemini mcp add alphavantage uvx marketdata-mcp-server YOUR_API_KEY
Replace YOUR_API_KEY with your actual Alpha Vantage API key.
Manual Configuration:
~/.gemini/settings.json (where ~ is your home directory).mcpServers object in your settings.json file (replace YOUR_API_KEY with your actual Alpha Vantage API key):{
"mcpServers": {
"alphavantage": {
"httpUrl": "https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY"
}
}
}
Or, for a local server (replace YOUR_API_KEY with your actual Alpha Vantage API key):
{
"mcpServers": {
"alphavantage": {
"command": "uvx",
"args": ["marketdata-mcp-server", "YOUR_API_KEY"]
}
}
}
If the mcpServers object does not exist, create it.
💡💡 I'm just exploring
Just exploring what to build? Check out the Trading Agents stock research tool (#1 trending on Github), which is powered by Alpha Vantage market data with no setup required.
Original product, capability, tool, and usage documentation from the MCP publisher. Installation sections appear under Install & Agents.
The official Alpha Vantage API MCP server enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP). Add this server to your favorite apps such as Claude, Claude Code, Cursor, VS Code, and many more to give them access to comprehensive financial data.
Below are four example prompts and Claude's expected responses when using the MCP server.
Prompt: “Give me last week’s OHLCV data for IBM”
Expected Behavior:
Here's IBM's OHLCV data for last week (March 16–20, 2026):
IBM had a strong Tuesday rally to $256.11, then pulled back through the rest of the week. Friday saw a sharp selloff to close at the session low of $241.77 on more than double the average weekly volume — likely some notable news or broad market pressure driving that move.
Prompt: “Get NVDA’s hourly price data for the last two days. Compute RSI as well, and plot both hourly with guidelines at 30 and 70 for RSI”
Expected Behavior:
Prompt: “Help me visualize AAPL’s earnings surprise trends for the past 4 quarters. Compare actual EPS to analyst estimates”
Expected Behavior:
Prompt: “Compare gold, silver, and Bitcoin performance over the past 5 years”
Expected Behavior:
Note: The tools listed below are exposed directly as MCP tools and can be called by name.
| Category | Tools |
|---|---|
| core_stock_apis | TIME_SERIES_INTRADAY, TIME_SERIES_DAILY, TIME_SERIES_DAILY_ADJUSTED, TIME_SERIES_WEEKLY, TIME_SERIES_WEEKLY_ADJUSTED, TIME_SERIES_MONTHLY, TIME_SERIES_MONTHLY_ADJUSTED, GLOBAL_QUOTE, REALTIME_BULK_QUOTES, REALTIME_BULK_BID_ASK_PRICES, SYMBOL_SEARCH, MARKET_STATUS |
| options_data_apis | REALTIME_OPTIONS, REALTIME_OPTIONS_FMV, HISTORICAL_OPTIONS |
| alpha_intelligence | NEWS_SENTIMENT, EARNINGS_CALL_TRANSCRIPT, TOP_GAINERS_LOSERS, INSIDER_TRANSACTIONS, INSTITUTIONAL_HOLDINGS, , |
💡 Each of these MCP tools maps to a corresponding Alpha Vantage API endpoint. If you are interested in the full API specs (in addition to the brief tool descriptions below), please refer to the Alpha Vantage API documentation. For general guidance on choosing the best stock market data API and/or MCP server in the AI agent era, please refer to this article. Independent API & MCP aggregation platform API Market has also published a practitioner's guide to stock data, which details when to use an MCP server vs. a conventional API (or both) for your workflow design.
| Category | Tool | Description |
|---|---|---|
| core_stock_apis | TIME_SERIES_INTRADAY | Current and 20+ years of historical intraday OHLCV data |
| core_stock_apis | TIME_SERIES_DAILY | Daily time series (OHLCV) covering 20+ years |
| core_stock_apis | TIME_SERIES_DAILY_ADJUSTED | Daily adjusted OHLCV with split/dividend events |
| core_stock_apis | TIME_SERIES_WEEKLY | Weekly time series (last trading day of week) |
| core_stock_apis | TIME_SERIES_WEEKLY_ADJUSTED | Weekly adjusted time series with dividends |
| core_stock_apis | TIME_SERIES_MONTHLY | Monthly time series (last trading day of month) |
| core_stock_apis | TIME_SERIES_MONTHLY_ADJUSTED | Monthly adjusted time series with dividends |
| core_stock_apis |
| Category | Tool | Description |
|---|---|---|
| options_data_apis | REALTIME_OPTIONS | Realtime US options data with Greeks |
| options_data_apis | REALTIME_OPTIONS_FMV | Realtime US options FMV (fair market value) mark prices |
| options_data_apis | HISTORICAL_OPTIONS | Historical options chain for 15+ years |
| Category | Tool | Description |
|---|---|---|
| alpha_intelligence | NEWS_SENTIMENT | Live and historical market news & sentiment |
| alpha_intelligence | EARNINGS_CALL_TRANSCRIPT | Earnings call transcripts with LLM sentiment |
| alpha_intelligence | TOP_GAINERS_LOSERS | Top 20 gainers, losers, and most active |
| alpha_intelligence | INSIDER_TRANSACTIONS | Latest and historical insider transactions |
| alpha_intelligence | INSTITUTIONAL_HOLDINGS | Institutional ownership and holdings information |
| alpha_intelligence | ANALYTICS_FIXED_WINDOW | Advanced analytics over fixed windows |
| alpha_intelligence | ANALYTICS_SLIDING_WINDOW | Advanced analytics over sliding windows |
| Category | Tool | Description |
|---|---|---|
| fundamental_data | COMPANY_OVERVIEW | Company information, financial ratios, and metrics |
| fundamental_data | INCOME_STATEMENT | Annual and quarterly income statements |
| fundamental_data | BALANCE_SHEET | Annual and quarterly balance sheets |
| fundamental_data | CASH_FLOW | Annual and quarterly cash flow statements |
| fundamental_data | EARNINGS | Annual and quarterly earnings data |
| fundamental_data | LISTING_STATUS | Listing and delisting data for equities |
| fundamental_data | EARNINGS_CALENDAR | Earnings calendar for upcoming earnings |
| fundamental_data |
| Category | Tool | Description |
|---|---|---|
| forex | FX_INTRADAY | Intraday foreign exchange rates |
| forex | FX_DAILY | Daily foreign exchange rates |
| forex | FX_WEEKLY | Weekly foreign exchange rates |
| forex | FX_MONTHLY | Monthly foreign exchange rates |
| Category | Tool | Description |
|---|---|---|
| cryptocurrencies | CURRENCY_EXCHANGE_RATE | Exchange rate between digital/crypto currencies |
| cryptocurrencies | DIGITAL_CURRENCY_INTRADAY | Intraday time series for digital currencies |
| cryptocurrencies | DIGITAL_CURRENCY_DAILY | Daily time series for digital currencies |
| cryptocurrencies | DIGITAL_CURRENCY_WEEKLY | Weekly time series for digital currencies |
| cryptocurrencies | DIGITAL_CURRENCY_MONTHLY | Monthly time series for digital currencies |
| Category | Tool | Description |
|---|---|---|
| commodities | WTI | West Texas Intermediate (WTI) crude oil prices |
| commodities | BRENT | Brent crude oil prices |
| commodities | NATURAL_GAS | Henry Hub natural gas spot prices |
| commodities | COPPER | Global copper prices |
| commodities | ALUMINUM | Global aluminum prices |
| commodities | WHEAT | Global wheat prices |
| commodities | CORN | Global corn prices |
| commodities | COTTON | Global cotton prices |
| Category | Tool | Description |
|---|---|---|
| economic_indicators | REAL_GDP | Real Gross Domestic Product |
| economic_indicators | REAL_GDP_PER_CAPITA | Real GDP per capita |
| economic_indicators | TREASURY_YIELD | Daily treasury yield rates |
| economic_indicators | FEDERAL_FUNDS_RATE | Federal funds rate (interest rates) |
| economic_indicators | CPI | Consumer Price Index |
| economic_indicators | INFLATION | Inflation rates |
| economic_indicators | RETAIL_SALES | Retail sales data |
| economic_indicators | DURABLES |
| Category | Tool | Description |
|---|---|---|
| technical_indicators | SMA | Simple moving average (SMA) values |
| technical_indicators | EMA | Exponential moving average (EMA) values |
| technical_indicators | WMA | Weighted moving average (WMA) values |
| technical_indicators | DEMA | Double exponential moving average (DEMA) values |
| technical_indicators | TEMA | Triple exponential moving average (TEMA) values |
| technical_indicators | TRIMA | Triangular moving average (TRIMA) values |
| technical_indicators | KAMA | Kaufman adaptive moving average (KAMA) values |
| technical_indicators | MAMA |
| Category | Tool | Description |
|---|---|---|
| ping | PING | Health check tool that returns 'pong' |
| ping | ADD_TWO_NUMBERS | Example tool for adding two numbers |
| Category | Tool | Description |
|---|---|---|
| congress | CONGRESS_TRADES | Congressional stock trades disclosed by US representatives, filtered by stock symbol and/or politician BioGuide ID |
| congress | POLITICIAN_METADATA | Complete roster of US congressional representatives with bioguide_id, district, and time-in-service metadata |
CONGRESS_TRADES requires at least one of symbol or bioguide_id (both may be given together to intersect the results); datatype defaults to json and also accepts csv. Example calls: CONGRESS_TRADES(symbol="AAPL") and CONGRESS_TRADES(bioguide_id="S000510"). Use POLITICIAN_METADATA to look up a politician's bioguide_id.
POLITICIAN_METADATA takes no filter or pagination arguments: every call returns the complete, deterministic roster of representatives directly from Alpha Vantage. The response is large enough to trigger the server's standard preview/CDN handling by default; pass return_full_data=true to receive the complete payload inline.
Both tools proxy the public Alpha Vantage CONGRESS_TRADES and POLITICIAN_METADATA endpoints and preserve upstream response fields (including source_url) unchanged.
ANALYTICS_FIXED_WINDOWANALYTICS_SLIDING_WINDOW| fundamental_data | COMPANY_OVERVIEW, COMPANY_LOGO, INCOME_STATEMENT, BALANCE_SHEET, CASH_FLOW, EARNINGS, LISTING_STATUS, EARNINGS_CALENDAR, IPO_CALENDAR |
| forex | FX_INTRADAY, FX_DAILY, FX_WEEKLY, FX_MONTHLY |
| cryptocurrencies | CURRENCY_EXCHANGE_RATE, DIGITAL_CURRENCY_INTRADAY, DIGITAL_CURRENCY_DAILY, DIGITAL_CURRENCY_WEEKLY, DIGITAL_CURRENCY_MONTHLY |
| commodities | WTI, BRENT, NATURAL_GAS, COPPER, ALUMINUM, WHEAT, CORN, COTTON, SUGAR, COFFEE, GOLD_SILVER_SPOT, GOLD_SILVER_HISTORY, ALL_COMMODITIES |
| economic_indicators | REAL_GDP, REAL_GDP_PER_CAPITA, TREASURY_YIELD, FEDERAL_FUNDS_RATE, CPI, INFLATION, RETAIL_SALES, DURABLES, UNEMPLOYMENT, NONFARM_PAYROLL |
| technical_indicators | SMA, EMA, WMA, DEMA, TEMA, TRIMA, KAMA, MAMA, VWAP, T3, MACD, MACDEXT, STOCH, STOCHF, RSI, STOCHRSI, WILLR, ADX, ADXR, APO, PPO, MOM, BOP, CCI, CMO, ROC, ROCR, AROON, AROONOSC, MFI, TRIX, ULTOSC, DX, MINUS_DI, PLUS_DI, MINUS_DM, PLUS_DM, BBANDS, MIDPOINT, MIDPRICE, SAR, TRANGE, ATR, NATR, AD, ADOSC, OBV, HT_TRENDLINE, HT_SINE, HT_TRENDMODE, HT_DCPERIOD, HT_DCPHASE, HT_PHASOR |
| ping | PING, ADD_TWO_NUMBERS |
| congress | CONGRESS_TRADES, POLITICIAN_METADATA |
GLOBAL_QUOTE |
| Latest price and volume for a ticker |
| core_stock_apis | REALTIME_BULK_QUOTES | Realtime quotes for up to 100 symbols |
| core_stock_apis | REALTIME_BULK_BID_ASK_PRICES | Realtime bid and ask prices for up to 100 US-traded symbols, including extended hours |
| core_stock_apis | SYMBOL_SEARCH | Search for symbols by keywords |
| core_stock_apis | MARKET_STATUS | Current market status worldwide |
IPO_CALENDAR| Initial public offering calendar |
| fundamental_data | COMPANY_LOGO | Company logo URLs in PNG and SVG formats |
| commodities | SUGAR | Global sugar prices |
| commodities | COFFEE | Global coffee prices |
| commodities | GOLD_SILVER_SPOT | Live spot prices for gold and silver |
| commodities | GOLD_SILVER_HISTORY | Historical gold and silver prices (daily, weekly, monthly) |
| commodities | ALL_COMMODITIES | All commodities prices |
| Durable goods orders |
| economic_indicators | UNEMPLOYMENT | Unemployment rate |
| economic_indicators | NONFARM_PAYROLL | Non-farm payroll data |
| MESA adaptive moving average (MAMA) values |
| technical_indicators | VWAP | Volume weighted average price (VWAP) for intraday time series |
| technical_indicators | T3 | Triple exponential moving average (T3) values |
| technical_indicators | MACD | Moving average convergence / divergence (MACD) values |
| technical_indicators | MACDEXT | Moving average convergence / divergence values with controllable moving average type |
| technical_indicators | STOCH | Stochastic oscillator (STOCH) values |
| technical_indicators | STOCHF | Stochastic fast (STOCHF) values |
| technical_indicators | RSI | Relative strength index (RSI) values |
| technical_indicators | STOCHRSI | Stochastic relative strength index (STOCHRSI) values |
| technical_indicators | WILLR | Williams' %R (WILLR) values |
| technical_indicators | ADX | Average directional movement index (ADX) values |
| technical_indicators | ADXR | Average directional movement index rating (ADXR) values |
| technical_indicators | APO | Absolute price oscillator (APO) values |
| technical_indicators | PPO | Percentage price oscillator (PPO) values |
| technical_indicators | MOM | Momentum (MOM) values |
| technical_indicators | BOP | Balance of power (BOP) values |
| technical_indicators | CCI | Commodity channel index (CCI) values |
| technical_indicators | CMO | Chande momentum oscillator (CMO) values |
| technical_indicators | ROC | Rate of change (ROC) values |
| technical_indicators | ROCR | Rate of change ratio (ROCR) values |
| technical_indicators | AROON | Aroon (AROON) values |
| technical_indicators | AROONOSC | Aroon oscillator (AROONOSC) values |
| technical_indicators | MFI | Money flow index (MFI) values |
| technical_indicators | TRIX | 1-day rate of change of a triple smooth exponential moving average (TRIX) values |
| technical_indicators | ULTOSC | Ultimate oscillator (ULTOSC) values |
| technical_indicators | DX | Directional movement index (DX) values |
| technical_indicators | MINUS_DI | Minus directional indicator (MINUS_DI) values |
| technical_indicators | PLUS_DI | Plus directional indicator (PLUS_DI) values |
| technical_indicators | MINUS_DM | Minus directional movement (MINUS_DM) values |
| technical_indicators | PLUS_DM | Plus directional movement (PLUS_DM) values |
| technical_indicators | BBANDS | Bollinger bands (BBANDS) values |
| technical_indicators | MIDPOINT | Midpoint values - (highest value + lowest value)/2 |
| technical_indicators | MIDPRICE | Midpoint price values - (highest high + lowest low)/2 |
| technical_indicators | SAR | Parabolic SAR (SAR) values |
| technical_indicators | TRANGE | True range (TRANGE) values |
| technical_indicators | ATR | Average true range (ATR) values |
| technical_indicators | NATR | Normalized average true range (NATR) values |
| technical_indicators | AD | Chaikin A/D line (AD) values |
| technical_indicators | ADOSC | Chaikin A/D oscillator (ADOSC) values |
| technical_indicators | OBV | On balance volume (OBV) values |
| technical_indicators | HT_TRENDLINE | Hilbert transform, instantaneous trendline (HT_TRENDLINE) values |
| technical_indicators | HT_SINE | Hilbert transform, sine wave (HT_SINE) values |
| technical_indicators | HT_TRENDMODE | Hilbert transform, trend vs cycle mode (HT_TRENDMODE) values |
| technical_indicators | HT_DCPERIOD | Hilbert transform, dominant cycle period (HT_DCPERIOD) values |
| technical_indicators | HT_DCPHASE | Hilbert transform, dominant cycle phase (HT_DCPHASE) values |
| technical_indicators | HT_PHASOR | Hilbert transform, phasor components (HT_PHASOR) values |