Data Submission

Accepts and processes client-supplied price data for calculations and analysis.

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.

Request Body

Datetime

list

required

Open

list

required

High

list

required

Low

list

required

Close

list

required

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

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 pandas as pd
import requests

# Define function to create json for API 
def trading_model_dict(df,aggregation):
    # Convert DataFrame to dictionary format
    return {
        "Datetime": df['Datetime'].tolist(),
        "Open": df['Open'].tolist(),
        "High": df['High'].tolist(),
        "Low": df['Low'].tolist(),
        "Close": df['Close'].tolist()
    }

# Import Data
df = pd.read_csv("")[['Datetime','Open','High','Low','Close']]

# Create JSON payload for API request
data = trading_model_dict(df)

# Specify Base URL & Access Token
BASE_URL = ""
TOKEN = ""

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

# Set header for API request
headers = {"Authorization": f"Bearer {TOKEN}", 'Content-Type': 'application/json'}

# Send POST request to API
response = requests.post(api_url, json=data, headers=headers)

# Parse JSON response
resp = response.json()

Example - API Response

{
"2024-07-25 00:00:00": {
      "trade_identified": "Long"
    },
"2024-08-24 00:00:00": {
      "trade_identified": "Long"
    }
}