Data Feed

Performs calculations and analysis using internal price data feeds.

Model Details

Mandatory Time Periods

1 - 501

Optional Time Periods

502 - 5,000

Request Header

Authorization

string

required

The authorization token for API requests. This should be a valid Bearer token.

Parameter Fields

ticker

string

required

interval

string

required

Show Options

1m

string

1 minute time series

5m

string

5 minute time series

1h

string

1 hour time series

d

string

Daily time series

w

string

Weekly time series

historical_data_from

string

required

Show Format

date_from

string

Start date and time for historical data retrieval (format: YYYY-MM-DD HH:MM:SS)

date_to_forecast

string

required

Show Format

date_to

string

Date and time to generate forecast for (format: YYYY-MM-DD HH:MM:SS)

Combine different time intervals to discover potential trading opportunities and find optimal entry points.

Historical Data Availability

Timeframe	Data Range
1 minute	Last 120 days
5 minutes	Last 600 days
1 hour	Since October 1, 2020
Daily	Since January 1, 1990
Weekly	Since January 1, 1990

Response Fields

datetime

string

Trade opportunity timestamp

trade_identified

string

Show Options

Long

string

Long trade opportunity identified.

Short

string

Short trade opportunity identified.

Example - API Request

# Import necessary libraries

import requests  
import json  

# Define base URL and access token for the API
BASE_URL = ""  
ACCESS_TOKEN = ""  

# Query parameters for the API request
params = {
    "ticker": "MSFT",
    "interval": "5m",
    "historical_data_from": "2020-08-03 13:30:00",
    "date_to_forecast": "2024-08-04 19:00:00"
}

# Headers for the API request
headers = {
    "Authorization": f"Bearer {ACCESS_TOKEN}"
}

# API endpoint
api_url = f"{BASE_URL}/genesis/trade-identifier-df"

# Make a GET request to the API and parse the JSON response
result = requests.get(api_url).json()

Example - API Response

{
"2024-08-21 15:05:00": {
      "trade_identified": "Long"
    },
"2024-08-30 19:00:00": {
      "trade_identified": "Short"
    }
}