getEMA

Calculate the Exponential Moving Average (EMA) for a stock using the FMP EMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data.

SERVERFinancial Modeling Prep (FMP) Server SOURCEimbenrabi/financial-modeling-prep-mcp-server
Low RISK CLASS
Category Read
Parameters 50 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/imbenrabi-financial-modeling-prep-mcp-server/getema.md

What getEMA does on Financial Modeling Prep (FMP) Server

AI agents call getEMA to retrieve information from Financial Modeling Prep (FMP) Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
to string End date (YYYY-MM-DD)
from string Start date (YYYY-MM-DD)
symbol string Stock symbol
timeframe string Timeframe (1min, 5min, 15min, 30min, 1hour, 4hour, 1day)
periodLength number Period length for the indicator

Parameters from the server's own tool schema.

Why getEMA is rated Low

This tool performs a mathematical computation on historical market data to produce a technical indicator. It retrieves information for analytical purposes only. While it may inform financial decisions, the tool itself does not execute trades, transfer funds, modify data, or trigger external operations—it only reads and calculates. No financial transaction occurs, and the operation is reversible and side-effect-free.

From the tool's definition The tool 'getEMA' calculates and retrieves an Exponential Moving Average—a technical analysis metric derived from historical price data.

Questions about getEMA

What does the getEMA tool do? +

Calculate the Exponential Moving Average (EMA) for a stock using the FMP EMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data. It is categorised as a Read tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it retrieves data without modifying state.

What parameters does getEMA accept? +

getEMA accepts 5 parameters: to, from, symbol, timeframe, periodLength. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on getEMA? +

Register the Financial Modeling Prep (FMP) Server MCP server in PolicyLayer and add a rule for getEMA: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Financial Modeling Prep (FMP) Server . Nothing to install.

What risk level is getEMA? +

getEMA is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit getEMA? +

Yes. Add a rate_limit block to the getEMA rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block getEMA completely? +

Set action: deny in the PolicyLayer policy for getEMA. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides getEMA? +

getEMA is provided by the Financial Modeling Prep (FMP) Server MCP server (imbenrabi/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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