Trend Indicators

Overview

This node calculates various trend indicators based on OHLCV (Open, High, Low, Close, Volume) financial data. It supports a wide range of technical analysis indicators commonly used in trading and market analysis to identify trends, momentum, volatility, and potential reversals.

Typical use cases include:

• Enhancing trading strategies by adding calculated indicators like Moving Averages, MACD, ADX, etc.
• Analyzing historical price data to detect trend strength or changes.
• Generating signals for automated trading bots or alerts.
• Visualizing indicator values alongside price charts.

For example, a trader might input OHLCV data from a cryptocurrency exchange and calculate the Simple Moving Average (SMA) and Moving Average Convergence Divergence (MACD) to decide entry and exit points.

Properties

Output

The node outputs a JSON object with the following structure:

{
  "indicators": [
    {
      "indicator": "indicatorName",
      "parameters": { /* parameters used for this indicator */ },
      "result": [ /* array of calculated values or objects depending on indicator */ ]
    },
    ...
  ],
  "metadata": { /* optional, present if Return Type is 'With Metadata' */
    "inputLength": 123,
    "indicatorsCount": 2,
    "calculationTimestamp": "2024-06-01T12:34:56.789Z"
  }
}

• indicators: An array where each element corresponds to one requested indicator.
  • indicator: The name of the indicator.
  • parameters: The parameters used for that indicator calculation.
  • result: The calculated values. This can be an array of numbers or objects depending on the indicator.
• metadata (optional): Contains information about the input data length, how many indicators were calculated, and the timestamp of calculation.

The node does not output binary data.

Dependencies

• Requires the indicatorts and technicalindicators JavaScript libraries for calculating the indicators.
• Input data must be provided as a JSON string representing an array of OHLCV arrays.
• No external API keys or services are required.
• No special environment variables or n8n credentials needed.

Troubleshooting

• Failed to parse OHLCV data: This error occurs if the input OHLCV data string is not valid JSON or not an array. Ensure the input is a correctly formatted JSON string representing an array of OHLCV data points.
• OHLCV data must be a non-empty array: The node expects at least one OHLCV data point. Provide valid historical data.
• Unsupported indicator: If an invalid or unsupported indicator name is specified, the node will throw an error. Verify the indicator names against the supported list.
• Empty results or unexpected output: Check that the OHLCV data contains correct numeric values and that the periods set for indicators are appropriate relative to the data length.
• If multiple indicators are selected, ensure all required parameters for each are properly configured.

Links and References

• Technical Indicators Library (npm)
• Indicatorts Library (GitHub)
• General info on OHLCV data: https://www.investopedia.com/terms/o/ohlc.asp
• Common Technical Analysis Indicators: https://www.investopedia.com/terms/t/technicalindicator.asp