Support Resistance DetectorInstall

Overview

This node detects support and resistance levels in financial market data using multiple technical analysis methods. It processes OHLCV (Open, High, Low, Close, Volume) data to identify key price levels that traders often use to make decisions.

Common scenarios where this node is beneficial include:

• Identifying pivot points to understand potential reversal or breakout levels.
• Detecting swing highs and lows to find dynamic support and resistance zones.
• Calculating Fibonacci retracement levels to anticipate price corrections or extensions.

Practical examples:

• A trader wants to automatically mark pivot points on a chart to plan entry and exit points.
• An analyst needs to detect recent swing highs and lows to set stop-loss or take-profit orders.
• A strategy developer uses Fibonacci retracement levels to define target prices after a trend move.

Properties

Output

The node outputs a JSON object containing results for each selected detection method:

• pivotPoints: An array of objects with calculated pivot point levels (PP, R1-R3, S1-S3) for each data index, plus the current/latest pivot point.
• swingHighsLows: Arrays of detected swing highs (resistance) and swing lows (support), all combined levels sorted by index, and current/latest swing high/low with nearest resistance/support prices.
• fibonacciRetracement: Fibonacci retracement and extension levels with their price values, start/end prices used, current price, nearest retracement level, and key support/resistance levels based on common Fibonacci percentages.

If the "Return Type" option is set to "With Metadata", the output also includes metadata such as input data length, number of methods used, and timestamp of calculation.

Example output structure (simplified):

{
  "pivotPoints": {
    "levels": [ /* array of pivot point objects per index */ ],
    "current": { /* latest pivot point object */ }
  },
  "swingHighsLows": {
    "swingHighs": [ /* array of swing high points */ ],
    "swingLows": [ /* array of swing low points */ ],
    "allLevels": [ /* combined and sorted levels */ ],
    "period": 5,
    "current": {
      "latestSwingHigh": { /* last swing high */ },
      "latestSwingLow": { /* last swing low */ },
      "nearestResistance": 123.45,
      "nearestSupport": 120.00
    }
  },
  "fibonacciRetracement": {
    "startPrice": 100,
    "endPrice": 150,
    "levels": [ /* all fib levels with price and type */ ],
    "retracementLevels": [ /* only retracement levels */ ],
    "extensionLevels": [ /* only extension levels */ ],
    "current": {
      "currentPrice": 140,
      "nearestRetracementLevel": { /* closest retracement level to current price */ },
      "keyLevels": {
        "support23_6": 110,
        "resistance38_2": 115,
        "support50_0": 120,
        "resistance61_8": 125
      }
    }
  },
  "metadata": {
    "inputLength": 100,
    "methodsCount": 2,
    "calculationTimestamp": "2024-06-01T12:00:00.000Z"
  }
}

The node does not output binary data.

Dependencies

• Requires valid OHLCV data input as a JSON string representing an array of arrays with price data.
• Uses the technicalindicators library internally for calculations like highest/lowest values and Fibonacci retracement.
• No external API keys or services are required.
• No special environment variables or n8n credentials needed.

Troubleshooting

• Failed to parse OHLCV data: The input OHLCV JSON string is invalid or malformed. Ensure the input is a properly formatted JSON array.
• OHLCV data must be a non-empty array: The parsed OHLCV data is empty or not an array. Provide valid historical price data.
• If no detection methods are selected, the node will produce empty results.
• Incorrect swing period or Fibonacci start/end prices may lead to unexpected or empty results.
• Large datasets might increase processing time; consider limiting input size.

Links and References

• Pivot Points Explanation
• Swing Highs and Lows Concept
• Fibonacci Retracement Guide
• Technical Indicators Library (npm)