Market Seasonality

GET https://api.unusualwhales.com/api/seasonality/market

Request

Security: Bearer Auth Authorization: Bearer <token>

Responses

200 500

Response Body 200 OK

avg_change Seasonality Average Change

The average relative price change per day for the month.

Example: 0.09494354167379757

max_change Seasonality Max Change

The maximum relative price change per day for the month.

Example: 0.14970489711277724

median_change Seasonality Median Change

The median relative price change per day for the month.

Example: 0.09494354167379757

min_change Seasonality Min Change

The minimum relative price change per day for the month.

Example: 0.0401821862348179

month Seasonality Month Number

The number indicating the month the data applies for. e.g. 1 -> January, 2 -> February, ...

Example: 5

positive_closes Seasonality Positive Closes Count

The number of years, the month had a positive close.

Example: 2

positive_months_perc Seasonality Positive Months Percent

The relative amount of times, the month had a positive close. Multiply with 100 to get the amount in percent.

Example: 0.6667

ticker Stock Ticker

The stock ticker.

Example: AAPL

years Seasonality Year Count

The number of years used to calculate the data.

Example: 3

Try It GET

API Token

Request Sample

curl -X GET "https://api.unusualwhales.com/api/seasonality/market" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Accept: application/json"

import http.client

conn = http.client.HTTPSConnection("api.unusualwhales.com")
headers = {"Authorization": "Bearer YOUR_API_KEY", "Accept": "application/json"}
conn.request("GET", "/api/seasonality/market", headers=headers)
response = conn.getresponse()
print(response.read().decode("utf-8"))

Response Example 200

{
  "data": [
    {
      "avg_change": "-0.0068",
      "max_change": "0.0642",
      "median_change": "-0.0041",
      "min_change": "-0.0913",
      "month": 6,
      "positive_closes": 7,
      "positive_months_perc": "0.4375",
      "ticker": "SPY",
      "years": 16
    },
    {
      "avg_change": "0.0038",
      "max_change": "0.0666",
      "median_change": "0.0115",
      "min_change": "-0.0838",
      "month": 5,
      "positive_closes": 13,
      "positive_months_perc": "0.8125",
      "ticker": "SPY",
      "years": 16
    },
    {
      "avg_change": "0.0092",
      "max_change": "0.0791",
      "median_change": "0.0367",
      "min_change": "-0.1614",
      "month": 3,
      "positive_closes": 5,
      "positive_months_perc": "0.7142",
      "ticker": "XLRE",
      "years": 7
    },
    {
      "avg_change": "0.0044",
      "max_change": "0.0697",
      "median_change": "-0.0032",
      "min_change": "-0.0651",
      "month": 2,
      "positive_closes": 8,
      "positive_months_perc": "0.4705",
      "ticker": "QQQ",
      "years": 17
    },
    {
      "avg_change": "0.0201",
      "max_change": "0.1459",
      "median_change": "-0.0034",
      "min_change": "-0.0401",
      "month": 4,
      "positive_closes": 3,
      "positive_months_perc": "0.4285",
      "ticker": "XLRE",
      "years": 7
    }
  ]
}