getDEMA

Calculate the Double Exponential Moving Average (DEMA) for a stock using the FMP DEMA 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/getdema.md

What getDEMA does on Financial Modeling Prep (FMP) Server

AI agents call getDEMA 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 getDEMA is rated Low

This tool performs a technical analysis calculation on historical stock price data. It retrieves and processes data to generate a moving average metric, which is a standard read-only financial analysis operation. No data is modified, created, or deleted; no trades or financial transactions are executed; no external systems are affected. The output is purely informational and advisory.

From the tool's definition Tool 'getDEMA' calculates and returns the Double Exponential Moving Average for historical price data. The description states it 'helps users analyze trends' and 'identify potential buy or sell signals' — these are analytical computations on existing market…

Questions about getDEMA

What does the getDEMA tool do? +

Calculate the Double Exponential Moving Average (DEMA) for a stock using the FMP DEMA 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 getDEMA accept? +

getDEMA 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 getDEMA? +

Register the Financial Modeling Prep (FMP) Server MCP server in PolicyLayer and add a rule for getDEMA: 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 getDEMA? +

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

Can I rate-limit getDEMA? +

Yes. Add a rate_limit block to the getDEMA 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 getDEMA completely? +

Set action: deny in the PolicyLayer policy for getDEMA. 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 getDEMA? +

getDEMA 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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