Skip to main content
Glama

MCP Paradex Server

by Habinar
MIT License
1
  • Apple
  • Linux

paradex_klines

Analyze historical price data to identify support/resistance levels, calculate indicators, backtest strategies, and visualize price action for informed trading decisions.

Instructions

Analyze historical price patterns for technical analysis and trading decisions. Use this tool when you need to: - Perform technical analysis on historical price data - Identify support and resistance levels from price history - Calculate indicators like moving averages, RSI, or MACD - Backtest trading strategies on historical data - Visualize price action over specific timeframes Candlestick data is fundamental for most technical analysis and trading decisions, providing structured price and volume information over time. Example use cases: - Identifying chart patterns for potential entries or exits - Calculating technical indicators for trading signals - Determining volatility by analyzing price ranges - Finding significant price levels from historical support/resistance - Measuring volume patterns to confirm price movements

Input Schema

NameRequiredDescriptionDefault
end_unix_msYesEnd time in unix milliseconds.
market_idYesMarket symbol to get klines for.
resolutionNoThe time resolution of the klines.
start_unix_msYesStart time in unix milliseconds.

Input Schema (JSON Schema)

{ "properties": { "end_unix_ms": { "description": "End time in unix milliseconds.", "title": "End Unix Ms", "type": "integer" }, "market_id": { "description": "Market symbol to get klines for.", "title": "Market Id", "type": "string" }, "resolution": { "default": 1, "description": "The time resolution of the klines.", "enum": [ 1, 3, 5, 15, 30, 60 ], "title": "Resolution", "type": "integer" }, "start_unix_ms": { "description": "Start time in unix milliseconds.", "title": "Start Unix Ms", "type": "integer" } }, "required": [ "market_id", "start_unix_ms", "end_unix_ms" ], "title": "get_klinesArguments", "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Habinar/mcp-paradex-py'

If you have feedback or need assistance with the MCP directory API, please join our Discord server