{ "cells": [ { "cell_type": "markdown", "id": "25c8380d", "metadata": {}, "source": [ "# Python API Example - Historical FFA Price Release Data Import and Storage in Dataframe\n", "## Importing FFA Price Data into a Pandas DataFrame\n", "\n", "This guide is designed to provide an example of how to access the Spark API:\n", "- The path to your client credentials is the only input needed to run this script (just before Section 2)\n", "- This script has been designed to display the raw outputs of requests from the API, and then shows you how to format those outputs to enable easy reading and analysis\n", "- This script can be copied and pasted by customers for quick use of the API\n", "- Once comfortable with the process, you can change the variables that are called to produce your own custom analysis products. (Section 2 onwards in this guide).\n", "\n", "__N.B. This guide is just for FFA Price release data. If you're looking for other API data products (such as Freight routes or Netbacks), please refer to their according code example files.__ \n", "\n" ] }, { "cell_type": "markdown", "id": "fe1a7ca7", "metadata": {}, "source": [ "### Have any questions?\n", "\n", "If you have any questions regarding our API, or need help accessing specific datasets, please contact us at:\n", "\n", "__data@sparkcommodities.com__\n", "\n", "or refer to our API website for more information about this endpoint:\n", "https://www.sparkcommodities.com/api/request/contracts.html" ] }, { "cell_type": "markdown", "id": "c5716130", "metadata": {}, "source": [ "## 1. Importing Data\n", "\n", "Here we define the functions that allow us to retrieve the valid credentials to access the Spark API.\n", "\n", "This section can remain unchanged for most Spark API users." ] }, { "cell_type": "code", "execution_count": 1, "id": "fcb94776", "metadata": {}, "outputs": [], "source": [ "# importing packages for calling the API\n", "import json\n", "import os\n", "import sys\n", "from base64 import b64encode\n", "from pprint import pprint\n", "from urllib.parse import urljoin\n", "from datetime import datetime\n", "import pandas as pd\n", "\n", "try:\n", " from urllib import request, parse\n", " from urllib.error import HTTPError\n", "except ImportError:\n", " raise RuntimeError(\"Python 3 required\")" ] }, { "cell_type": "code", "execution_count": 2, "id": "9a0e42dc", "metadata": {}, "outputs": [], "source": [ "# Defining functions for API request\n", "\n", "\n", "API_BASE_URL = \"https://api.sparkcommodities.com\"\n", "\n", "\n", "def retrieve_credentials(file_path=None):\n", " \"\"\"\n", " Find credentials either by reading the client_credentials file or reading\n", " environment variables\n", " \"\"\"\n", " if file_path is None:\n", " client_id = os.getenv(\"SPARK_CLIENT_ID\")\n", " client_secret = os.getenv(\"SPARK_CLIENT_SECRET\")\n", " if not client_id or not client_secret:\n", " raise RuntimeError(\n", " \"SPARK_CLIENT_ID and SPARK_CLIENT_SECRET environment vars required\"\n", " )\n", " else:\n", " # Parse the file\n", " if not os.path.isfile(file_path):\n", " raise RuntimeError(\"The file {} doesn't exist\".format(file_path))\n", "\n", " with open(file_path) as fp:\n", " lines = [l.replace(\"\\n\", \"\") for l in fp.readlines()]\n", "\n", " if lines[0] in (\"clientId,clientSecret\", \"client_id,client_secret\"):\n", " client_id, client_secret = lines[1].split(\",\")\n", " else:\n", " print(\"First line read: '{}'\".format(lines[0]))\n", " raise RuntimeError(\n", " \"The specified file {} doesn't look like to be a Spark API client \"\n", " \"credentials file\".format(file_path)\n", " )\n", "\n", " print(\">>>> Found credentials!\")\n", " print(\n", " \">>>> Client_id={}, client_secret={}****\".format(client_id, client_secret[:5])\n", " )\n", "\n", " return client_id, client_secret\n", "\n", "\n", "def do_api_post_query(uri, body, headers):\n", " \"\"\"\n", " OAuth2 authentication requires a POST request with client credentials before accessing the API. \n", " This POST request will return an Access Token which will be used for the API GET request.\n", " \"\"\"\n", " url = urljoin(API_BASE_URL, uri)\n", "\n", " data = json.dumps(body).encode(\"utf-8\")\n", "\n", " # HTTP POST request\n", " req = request.Request(url, data=data, headers=headers)\n", " try:\n", " response = request.urlopen(req)\n", " except HTTPError as e:\n", " print(\"HTTP Error: \", e.code)\n", " print(e.read())\n", " sys.exit(1)\n", "\n", " resp_content = response.read()\n", "\n", " # The server must return HTTP 201. Raise an error if this is not the case\n", " assert response.status == 201, resp_content\n", "\n", " # The server returned a JSON response\n", " content = json.loads(resp_content)\n", "\n", " return content\n", "\n", "\n", "def do_api_get_query(uri, access_token):\n", " \"\"\"\n", " After receiving an Access Token, we can request information from the API.\n", " \"\"\"\n", " url = urljoin(API_BASE_URL, uri)\n", "\n", " headers = {\n", " \"Authorization\": \"Bearer {}\".format(access_token),\n", " \"Accept\": \"application/json\",\n", " }\n", "\n", " # HTTP POST request\n", " req = request.Request(url, headers=headers)\n", " try:\n", " response = request.urlopen(req)\n", " except HTTPError as e:\n", " print(\"HTTP Error: \", e.code)\n", " print(e.read())\n", " sys.exit(1)\n", "\n", " resp_content = response.read()\n", "\n", " # The server must return HTTP 201. Raise an error if this is not the case\n", " assert response.status == 200, resp_content\n", "\n", " # The server returned a JSON response\n", " content = json.loads(resp_content)\n", "\n", " return content\n", "\n", "\n", "def get_access_token(client_id, client_secret):\n", " \"\"\"\n", " Get a new access_token. Access tokens are the thing that applications use to make\n", " API requests. Access tokens must be kept confidential in storage.\n", "\n", " # Procedure:\n", "\n", " Do a POST query with `grantType` and `scopes` in the body. A basic authorization\n", " HTTP header is required. The \"Basic\" HTTP authentication scheme is defined in\n", " RFC 7617, which transmits credentials as `clientId:clientSecret` pairs, encoded\n", " using base64.\n", " \"\"\"\n", "\n", " # Note: for the sake of this example, we choose to use the Python urllib from the\n", " # standard lib. One should consider using https://requests.readthedocs.io/\n", "\n", " payload = \"{}:{}\".format(client_id, client_secret).encode()\n", " headers = {\n", " \"Authorization\": b64encode(payload).decode(),\n", " \"Accept\": \"application/json\",\n", " \"Content-Type\": \"application/json\",\n", " }\n", " body = {\n", " \"grantType\": \"clientCredentials\",\n", " \"scopes\": \"read:lng-freight-prices,read:routes\",\n", " }\n", "\n", " content = do_api_post_query(uri=\"/oauth/token/\", body=body, headers=headers)\n", "\n", " print(\n", " \">>>> Successfully fetched an access token {}****, valid {} seconds.\".format(\n", " content[\"accessToken\"][:5], content[\"expiresIn\"]\n", " )\n", " )\n", "\n", " return content[\"accessToken\"]" ] }, { "cell_type": "markdown", "id": "691c889f", "metadata": {}, "source": [ "## Defining Fetch Request\n", "\n", "Here is where we define what type of data we want to fetch from the API.\n", "\n", "In my fetch request, I use the URL:\n", "\n", "__uri=\"/v1.0/contracts/\"__\n", "\n", "This is to query contract price data specifically. Other data products (such as shipping route costs) require different URL's in the fetch request (refer to other Python API examples)." ] }, { "cell_type": "code", "execution_count": 3, "id": "7d5fad75", "metadata": {}, "outputs": [], "source": [ "# Defining function for collecting the list of contracts\n", "def list_contracts(access_token):\n", " \"\"\"\n", " Fetch available contracts. Return contract ticker symbols\n", "\n", " # Procedure:\n", "\n", " Do a GET query to /v1.0/contracts/ with a Bearer token authorization HTTP header.\n", " \"\"\"\n", " content = do_api_get_query(uri=\"/v1.0/contracts/\", access_token=access_token)\n", "\n", " print(\">>>> All the contracts you can fetch\")\n", " tickers = []\n", " for contract in content[\"data\"]:\n", " print(contract[\"fullName\"])\n", " tickers.append(contract[\"id\"])\n", "\n", " return tickers" ] }, { "cell_type": "markdown", "id": "fd3171a8", "metadata": {}, "source": [ "## N.B. Credentials\n", "\n", "Here we call the above functions, and input the file path to our credentials.\n", "\n", "N.B. You must have downloaded your client credentials CSV file before proceeding. Please refer to the API documentation if you have not dowloaded them already. Instructions for downloading your credentials can be found here:\n", "\n", "https://api.sparkcommodities.com/redoc#section/Authentication/Create-an-Oauth2-Client\n", "\n", "\n", "The code then prints the available prices that are callable from the API, and their corresponding Python ticker names are displayed as a list at the bottom of the Output." ] }, { "cell_type": "code", "execution_count": 4, "id": "602d2492", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ">>>> Found credentials!\n", ">>>> Client_id=875f483b-19de-421a-8e9b-dceff6703e83, client_secret=6cdf8****\n", ">>>> Successfully fetched an access token eyJhb****, valid 604799 seconds.\n", ">>>> All the contracts you can fetch\n", "Spark25F Pacific 160 TFDE\n", "Spark30F Atlantic 160 TFDE\n", "Spark25S Pacific\n", "Spark25Fo Pacific\n", "Spark25FFA Pacific\n", "Spark25FFAYearly Pacific\n", "Spark30S Atlantic\n", "Spark30Fo Atlantic\n", "Spark30FFA Atlantic\n", "Spark30FFAYearly Atlantic\n", "SparkNWE DES 1H\n", "SparkNWE-B 1H\n", "SparkNWE DES 2H\n", "SparkNWE-B 2H\n", "SparkNWE-B F\n", "SparkNWE DES F\n", "SparkNWE-B Fo\n", "SparkNWE DES Fo\n", "SparkNWE-DES-Fin Monthly\n", "SparkNWE-Fin Monthly\n", "SparkSWE-B F\n", "SparkSWE DES F\n", "SparkSWE-B Fo\n", "SparkSWE DES Fo\n", "SparkSWE-DES-Fin Monthly\n", "SparkSWE-Fin Monthly\n", "['spark25f', 'spark30f', 'spark25s', 'spark25fo', 'spark25ffa-monthly', 'spark25ffa-yearly', 'spark30s', 'spark30fo', 'spark30ffa-monthly', 'spark30ffa-yearly', 'sparknwe-1h', 'sparknwe-b-1h', 'sparknwe-2h', 'sparknwe-b-2h', 'sparknwe-b-f', 'sparknwe-f', 'sparknwe-b-fo', 'sparknwe-fo', 'sparknwe-des-fin-monthly', 'sparknwe-fin-monthly', 'sparkswe-b-f', 'sparkswe-f', 'sparkswe-b-fo', 'sparkswe-fo', 'sparkswe-des-fin-monthly', 'sparkswe-fin-monthly']\n" ] } ], "source": [ "# Insert file path to your client credentials here\n", "client_id, client_secret = retrieve_credentials(file_path=\"/tmp/client_credentials.csv\")\n", "\n", "# Authenticate:\n", "access_token = get_access_token(client_id, client_secret)\n", "\n", "# Fetch all contracts:\n", "tickers = list_contracts(access_token)\n", "\n", "\n", "print(tickers)" ] }, { "cell_type": "markdown", "id": "fc9cf152", "metadata": {}, "source": [ "## 2. Latest Price Release\n", "\n", "Here we call the latest price release and print it in a readable format. This is done using the URL:\n", "\n", "__/v1.0/contracts/{contract_ticker_symbol}/price-releases/latest/__\n", "\n", "'tickers' refers to the printed list above, so we can see that:\n", "- 'tickers[4]' refers to 'Spark25FFA' \n", "- 'tickers[8]' refers to 'Spark30FFA' \n", "\n", "We then save the entire dataset as a local variable called 'my_dict'.\n", "\n", "__N.B. The first two tickers, 'spark25f' and 'spark30f', are deprecated. Historical data for these tickers are available up until 2022-04-01 (yyyy-mm-dd)__\n", "\n", "For more information on API updates, please refer to the API documentation:\n", "\n", "https://api.sparkcommodities.com/redoc#section/API-Changelog" ] }, { "cell_type": "code", "execution_count": 5, "id": "71fc33eb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ">>>> Get latest price release for spark25ffa-monthly\n", "release date = 2025-01-14\n" ] } ], "source": [ "## Defining the function\n", "\n", "\n", "def fetch_latest_price_releases(access_token, ticker):\n", " \"\"\"\n", " For a contract, fetch then display the latest price release\n", "\n", " # Procedure:\n", "\n", " Do GET queries to /v1.0/contracts/{contract_ticker_symbol}/price-releases/latest/\n", " with a Bearer token authorization HTTP header.\n", " \"\"\"\n", " content = do_api_get_query(\n", " uri=\"/v1.0/contracts/{}/price-releases/latest/\".format(ticker),\n", " access_token=access_token,\n", " )\n", "\n", " release_date = content[\"data\"][\"releaseDate\"]\n", "\n", " print(\">>>> Get latest price release for {}\".format(ticker))\n", " print(\"release date =\", release_date)\n", "\n", " data_points = content[\"data\"][\"data\"][0][\"dataPoints\"]\n", "\n", " return content[\"data\"]\n", "\n", "\n", "## Calling that function and storing the output\n", "\n", "# Here we store the latest Spark25FFA release called from the API\n", "\n", "my_dict = fetch_latest_price_releases(access_token, tickers[4])" ] }, { "cell_type": "code", "execution_count": 6, "id": "bf8c15c1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'id': 20250114,\n", " 'contractId': 'spark25ffa-monthly',\n", " 'releaseDate': '2025-01-14',\n", " 'previousPriceRelease': {'id': 20250113, 'releaseDate': '2025-01-13'},\n", " 'nextPriceRelease': {'id': 20250115, 'releaseDate': '2025-01-15'},\n", " 'assessmentWindowClosedAt': '2025-01-14T17:00:00Z',\n", " 'assessmentWindowOpenedAt': '2025-01-14T15:30:00Z',\n", " 'data': [{'revisionNumber': 0,\n", " 'revisionPublishedAt': '2025-01-14T16:47:22.843810Z',\n", " 'numberOfAssessors': None,\n", " 'dataPoints': [{'index': 0,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-01-01',\n", " 'endAt': '2025-01-31',\n", " 'name': 'M+0',\n", " 'lastAssessmentDate': '2025-01-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '21500',\n", " 'sparkMin': '21500',\n", " 'sparkMax': '21750',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.53',\n", " 'sparkMin': '0.53',\n", " 'sparkMax': '0.53',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 1,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-02-01',\n", " 'endAt': '2025-02-28',\n", " 'name': 'M+1',\n", " 'lastAssessmentDate': '2025-02-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '25000',\n", " 'sparkMin': '22000',\n", " 'sparkMax': '26250',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.56',\n", " 'sparkMin': '0.54',\n", " 'sparkMax': '0.57',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 2,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-03-01',\n", " 'endAt': '2025-03-31',\n", " 'name': 'M+2',\n", " 'lastAssessmentDate': '2025-03-28'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '23750',\n", " 'sparkMin': '22500',\n", " 'sparkMax': '24500',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.55',\n", " 'sparkMin': '0.54',\n", " 'sparkMax': '0.56',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 3,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-04-01',\n", " 'endAt': '2025-04-30',\n", " 'name': 'M+3',\n", " 'lastAssessmentDate': '2025-04-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '23000',\n", " 'sparkMin': '22500',\n", " 'sparkMax': '23500',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.55',\n", " 'sparkMin': '0.55',\n", " 'sparkMax': '0.55',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 4,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-05-01',\n", " 'endAt': '2025-05-31',\n", " 'name': 'M+4',\n", " 'lastAssessmentDate': '2025-05-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '24250',\n", " 'sparkMin': '22000',\n", " 'sparkMax': '26000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.56',\n", " 'sparkMin': '0.54',\n", " 'sparkMax': '0.57',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 5,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-06-01',\n", " 'endAt': '2025-06-30',\n", " 'name': 'M+5',\n", " 'lastAssessmentDate': '2025-06-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '25750',\n", " 'sparkMin': '23000',\n", " 'sparkMax': '28000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.57',\n", " 'sparkMin': '0.55',\n", " 'sparkMax': '0.59',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 6,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-07-01',\n", " 'endAt': '2025-07-31',\n", " 'name': 'M+6',\n", " 'lastAssessmentDate': '2025-07-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '31250',\n", " 'sparkMin': '29000',\n", " 'sparkMax': '32750',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.61',\n", " 'sparkMin': '0.59',\n", " 'sparkMax': '0.62',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 7,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-08-01',\n", " 'endAt': '2025-08-31',\n", " 'name': 'M+7',\n", " 'lastAssessmentDate': '2025-08-28'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '39750',\n", " 'sparkMin': '38500',\n", " 'sparkMax': '41000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.66',\n", " 'sparkMin': '0.66',\n", " 'sparkMax': '0.67',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 8,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-09-01',\n", " 'endAt': '2025-09-30',\n", " 'name': 'M+8',\n", " 'lastAssessmentDate': '2025-09-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '49750',\n", " 'sparkMin': '47000',\n", " 'sparkMax': '51250',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.72',\n", " 'sparkMin': '0.70',\n", " 'sparkMax': '0.73',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 9,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-10-01',\n", " 'endAt': '2025-10-31',\n", " 'name': 'M+9',\n", " 'lastAssessmentDate': '2025-10-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '60500',\n", " 'sparkMin': '57000',\n", " 'sparkMax': '63000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.79',\n", " 'sparkMin': '0.76',\n", " 'sparkMax': '0.80',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 10,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-11-01',\n", " 'endAt': '2025-11-30',\n", " 'name': 'M+10',\n", " 'lastAssessmentDate': '2025-11-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '71000',\n", " 'sparkMin': '68500',\n", " 'sparkMax': '75000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.86',\n", " 'sparkMin': '0.84',\n", " 'sparkMax': '0.89',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 11,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-12-01',\n", " 'endAt': '2025-12-31',\n", " 'name': 'M+11',\n", " 'lastAssessmentDate': '2025-12-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '71250',\n", " 'sparkMin': '70000',\n", " 'sparkMax': '74000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.86',\n", " 'sparkMin': '0.86',\n", " 'sparkMax': '0.88',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 12,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-01-01',\n", " 'endAt': '2026-01-31',\n", " 'name': 'M+12',\n", " 'lastAssessmentDate': '2026-01-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '64500',\n", " 'sparkMin': '58000',\n", " 'sparkMax': '70000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.81',\n", " 'sparkMin': '0.77',\n", " 'sparkMax': '0.85',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 13,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-02-01',\n", " 'endAt': '2026-02-28',\n", " 'name': 'M+13',\n", " 'lastAssessmentDate': '2026-02-26'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '56750',\n", " 'sparkMin': '47000',\n", " 'sparkMax': '62000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.75',\n", " 'sparkMin': '0.68',\n", " 'sparkMax': '0.78',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 14,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-03-01',\n", " 'endAt': '2026-03-31',\n", " 'name': 'M+14',\n", " 'lastAssessmentDate': '2026-03-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '51250',\n", " 'sparkMin': '42000',\n", " 'sparkMax': '58000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.69',\n", " 'sparkMin': '0.63',\n", " 'sparkMax': '0.73',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 15,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-04-01',\n", " 'endAt': '2026-04-30',\n", " 'name': 'M+15',\n", " 'lastAssessmentDate': '2026-04-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '45500',\n", " 'sparkMin': '41000',\n", " 'sparkMax': '50000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.65',\n", " 'sparkMin': '0.62',\n", " 'sparkMax': '0.68',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 16,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-05-01',\n", " 'endAt': '2026-05-31',\n", " 'name': 'M+16',\n", " 'lastAssessmentDate': '2026-05-28'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '42750',\n", " 'sparkMin': '40000',\n", " 'sparkMax': '47000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.63',\n", " 'sparkMin': '0.61',\n", " 'sparkMax': '0.66',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 17,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-06-01',\n", " 'endAt': '2026-06-30',\n", " 'name': 'M+17',\n", " 'lastAssessmentDate': '2026-06-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '41750',\n", " 'sparkMin': '40000',\n", " 'sparkMax': '45000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.62',\n", " 'sparkMin': '0.61',\n", " 'sparkMax': '0.64',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 18,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-07-01',\n", " 'endAt': '2026-07-31',\n", " 'name': 'M+18',\n", " 'lastAssessmentDate': '2026-07-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '42000',\n", " 'sparkMin': '41000',\n", " 'sparkMax': '43000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.63',\n", " 'sparkMin': '0.62',\n", " 'sparkMax': '0.63',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 19,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-08-01',\n", " 'endAt': '2026-08-31',\n", " 'name': 'M+19',\n", " 'lastAssessmentDate': '2026-08-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '44750',\n", " 'sparkMin': '43000',\n", " 'sparkMax': '46000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.64',\n", " 'sparkMin': '0.63',\n", " 'sparkMax': '0.65',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 20,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-09-01',\n", " 'endAt': '2026-09-30',\n", " 'name': 'M+20',\n", " 'lastAssessmentDate': '2026-09-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '53250',\n", " 'sparkMin': '50000',\n", " 'sparkMax': '60000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.69',\n", " 'sparkMin': '0.67',\n", " 'sparkMax': '0.73',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 21,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-10-01',\n", " 'endAt': '2026-10-31',\n", " 'name': 'M+21',\n", " 'lastAssessmentDate': '2026-10-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '64250',\n", " 'sparkMin': '58000',\n", " 'sparkMax': '75000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.76',\n", " 'sparkMin': '0.72',\n", " 'sparkMax': '0.83',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 22,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-11-01',\n", " 'endAt': '2026-11-30',\n", " 'name': 'M+22',\n", " 'lastAssessmentDate': '2026-11-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '77500',\n", " 'sparkMin': '66000',\n", " 'sparkMax': '95000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.85',\n", " 'sparkMin': '0.78',\n", " 'sparkMax': '0.97',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 23,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-12-01',\n", " 'endAt': '2026-12-31',\n", " 'name': 'M+23',\n", " 'lastAssessmentDate': '2026-12-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '78000',\n", " 'sparkMin': '62000',\n", " 'sparkMax': '91000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.86',\n", " 'sparkMin': '0.75',\n", " 'sparkMax': '0.94',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]}],\n", " 'aggregatedData': {'balanceOfMonth': {'deliveryPeriod': {'type': 'days',\n", " 'startAt': '2025-01-15',\n", " 'endAt': '2025-01-31',\n", " 'name': 'Balance of month',\n", " 'lastAssessmentDate': None},\n", " 'prices': {'userPerDay': '21404'}}}}],\n", " 'publishedAt': '2025-01-14T16:47:22.843810Z',\n", " 'meta': []}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Shows how the raw output is formatted\n", "my_dict" ] }, { "cell_type": "markdown", "id": "a0e0e030", "metadata": {}, "source": [ "## 3. Historical Prices\n", "\n", "Here we perform a similar task, but with historical prices instead. This is done using the URL:\n", "\n", "__/v1.0/contracts/{contract_ticker_symbol}/price-releases/{limit}{offset}__\n", "\n", "First we define the function that imports the data from the Spark API.\n", "\n", "We then call that function, and define 2 parameters:\n", "\n", "- 'tickers': which ticker do you want to call.\n", " - We define the variable 'my_ticker' after the function definition, and set this to 'tickers[4]' which corresponds to Spark25FFA\n", " - Alter this variable to whatever price product you need.\n", "\n", "- 'limit': this allows you to control how many datapoints you want to call. Here we use 'limit=10', which means we have called the last 10 datapoints (the Spark25FFA data for the last 1000 business days).\n", " - For __Premium__ Users, alter this limit to however many datapoints you need.\n", " - For __Trial__ Users, the limit parameter must not exceed 14 datapoints, as historical data is limited to 2 weeks for this plan.\n", " - If you ask for more datapoints than is available, the API will just retrieve all the data available (as seen below)\n", "\n", "\n", "We save the output as a local variable called 'my_dict_hist'" ] }, { "cell_type": "code", "execution_count": 7, "id": "3302a85f", "metadata": {}, "outputs": [], "source": [ "def fetch_historical_price_releases(access_token, ticker, limit, offset=None):\n", " \"\"\"\n", " For a selected contract, this endpoint returns all the Price Releases you can\n", " access according to your current subscription, ordered by release date descending.\n", "\n", " **Note**: Unlimited access to historical data and full forward curves is only\n", " available to those with Premium access. Get in touch to find out more.\n", "\n", " **Params**\n", "\n", " limit: optional integer value to set an upper limit on the number of price\n", " releases returned by the endpoint.\n", "\n", " offset: optional integer value to set from where to start returning data.\n", " Default is 0.\n", "\n", " # Procedure:\n", "\n", " Do GET queries to /v1.0/contracts/{contract_ticker_symbol}/price-releases/\n", " with a Bearer token authorization HTTP header.\n", " \"\"\"\n", " print(\">>>> Get price releases for {}\".format(ticker))\n", "\n", " query_params = \"?limit={}\".format(limit)\n", " if offset is not None:\n", " query_params += \"&offset={}\".format(offset)\n", "\n", " content = do_api_get_query(\n", " uri=\"/v1.0/contracts/{}/price-releases/{}\".format(ticker, query_params),\n", " access_token=access_token,\n", " )\n", "\n", " my_dict = content[\"data\"]\n", "\n", " for release in content[\"data\"]:\n", " release_date = release[\"releaseDate\"]\n", "\n", " print(\"- release date =\", release_date)\n", "\n", " data_points = release[\"data\"][0][\"dataPoints\"]\n", "\n", " return my_dict" ] }, { "cell_type": "markdown", "id": "3c11e657", "metadata": {}, "source": [ "### N.B. Plan Limits\n", "\n", "__Premium__ Plan users have __no__ limits on historical data.\n", "\n", "__Trial__ Plan users only have access to the latest 2 weeks worth of historical data. Therefore the limit parameter cannot exceed 14." ] }, { "cell_type": "code", "execution_count": 8, "id": "261d59a8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ">>>> Get price releases for spark25ffa-monthly\n", "- release date = 2025-01-14\n", "- release date = 2025-01-13\n", "- release date = 2025-01-10\n", "- release date = 2025-01-09\n", "- release date = 2025-01-08\n", "- release date = 2025-01-07\n", "- release date = 2025-01-06\n", "- release date = 2025-01-03\n", "- release date = 2025-01-02\n", "- release date = 2024-12-31\n" ] }, { "data": { "text/plain": [ "[{'id': 20250114,\n", " 'contractId': 'spark25ffa-monthly',\n", " 'releaseDate': '2025-01-14',\n", " 'previousPriceRelease': {'id': 20250113, 'releaseDate': '2025-01-13'},\n", " 'nextPriceRelease': {'id': 20250115, 'releaseDate': '2025-01-15'},\n", " 'assessmentWindowClosedAt': '2025-01-14T17:00:00Z',\n", " 'assessmentWindowOpenedAt': '2025-01-14T15:30:00Z',\n", " 'data': [{'revisionNumber': 0,\n", " 'revisionPublishedAt': '2025-01-14T16:47:22.843810Z',\n", " 'numberOfAssessors': None,\n", " 'dataPoints': [{'index': 0,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-01-01',\n", " 'endAt': '2025-01-31',\n", " 'name': 'M+0',\n", " 'lastAssessmentDate': '2025-01-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '21500',\n", " 'sparkMin': '21500',\n", " 'sparkMax': '21750',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.53',\n", " 'sparkMin': '0.53',\n", " 'sparkMax': '0.53',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 1,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-02-01',\n", " 'endAt': '2025-02-28',\n", " 'name': 'M+1',\n", " 'lastAssessmentDate': '2025-02-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '25000',\n", " 'sparkMin': '22000',\n", " 'sparkMax': '26250',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.56',\n", " 'sparkMin': '0.54',\n", " 'sparkMax': '0.57',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 2,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2025-03-01',\n", " 'endAt': '2025-03-31',\n", " 'name': 'M+2',\n", " 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'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.62',\n", " 'sparkMin': '0.62',\n", " 'sparkMax': '0.63',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 19,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-08-01',\n", " 'endAt': '2026-08-31',\n", " 'name': 'M+19',\n", " 'lastAssessmentDate': '2026-08-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '45250',\n", " 'sparkMin': '43000',\n", " 'sparkMax': '47000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.64',\n", " 'sparkMin': '0.63',\n", " 'sparkMax': '0.65',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 20,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-09-01',\n", " 'endAt': '2026-09-30',\n", " 'name': 'M+20',\n", " 'lastAssessmentDate': '2026-09-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '53000',\n", " 'sparkMin': '50000',\n", " 'sparkMax': '60000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.69',\n", " 'sparkMin': '0.67',\n", " 'sparkMax': '0.73',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 21,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-10-01',\n", " 'endAt': '2026-10-31',\n", " 'name': 'M+21',\n", " 'lastAssessmentDate': '2026-10-29'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '64250',\n", " 'sparkMin': '58000',\n", " 'sparkMax': '75000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.76',\n", " 'sparkMin': '0.72',\n", " 'sparkMax': '0.83',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 22,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-11-01',\n", " 'endAt': '2026-11-30',\n", " 'name': 'M+22',\n", " 'lastAssessmentDate': '2026-11-27'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '78000',\n", " 'sparkMin': '69000',\n", " 'sparkMax': '95000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.86',\n", " 'sparkMin': '0.80',\n", " 'sparkMax': '0.97',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]},\n", " {'index': 23,\n", " 'deliveryPeriod': {'type': 'month',\n", " 'startAt': '2026-12-01',\n", " 'endAt': '2026-12-31',\n", " 'name': 'M+23',\n", " 'lastAssessmentDate': '2026-12-30'},\n", " 'yourAssessedPrice': None,\n", " 'derivedPrices': {'usdPerDay': {'spark': '80250',\n", " 'sparkMin': '74000',\n", " 'sparkMax': '91000',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None},\n", " 'usdPerMMBtu': {'spark': '0.87',\n", " 'sparkMin': '0.83',\n", " 'sparkMax': '0.94',\n", " 'portfolioPlayer': None,\n", " 'portfolioPlayerMin': None,\n", " 'portfolioPlayerMax': None,\n", " 'shipOwner': None,\n", " 'shipOwnerMin': None,\n", " 'shipOwnerMax': None}},\n", " 'meta': [{'type': 'freight-vessel-type', 'value': '174-2stroke'}]}],\n", " 'aggregatedData': {'balanceOfMonth': {'deliveryPeriod': {'type': 'days',\n", " 'startAt': '2025-01-01',\n", " 'endAt': '2025-01-31',\n", " 'name': 'Balance of month',\n", " 'lastAssessmentDate': None},\n", " 'prices': {'userPerDay': '27250'}}}}],\n", " 'publishedAt': '2024-12-31T16:41:09.162700Z',\n", " 'meta': []}]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "### Define which price product you want to retrieve\n", "my_ticker = tickers[4]\n", "\n", "\n", "# Call the function, and set limit=1000 to call 1000 datapoints\n", "\n", "my_dict_hist = fetch_historical_price_releases(access_token, my_ticker, limit=10)\n", "\n", "\n", "# View data in its raw format\n", "\n", "my_dict_hist " ] }, { "cell_type": "code", "execution_count": 9, "id": "42ac7fb2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "10" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check the amount of datapoints (Spark25FFA) releases\n", "len(my_dict_hist)" ] }, { "cell_type": "markdown", "id": "99be9416", "metadata": {}, "source": [ "## Function to call data and store as a DataFrame\n", "\n", "__N.B. The structure of the called data is slightly differs based on the ticker used. For example, the formatting method below is applicable to the FFA data, but would have to be slightly altered if a different ticker were used instead (for example, please see our 'spark_api_historical_spot_prices' tutorial script to see how to format the historical spot price data instead).__" ] }, { "cell_type": "code", "execution_count": 12, "id": "32d6eb83", "metadata": {}, "outputs": [], "source": [ "# Defining the function\n", "def fetch_ffa_prices(my_tick, my_lim):\n", " print(my_tick)\n", "\n", " my_dict_hist = fetch_historical_price_releases(access_token, my_tick, limit=my_lim)\n", "\n", " release_dates = []\n", "\n", " period_start = []\n", " period_end = []\n", " period_name = []\n", " cal_month = []\n", "\n", " ticker = []\n", "\n", " usd_day = []\n", "\n", " day_min = []\n", " day_max = []\n", "\n", " for release in my_dict_hist:\n", " release_date = release[\"releaseDate\"]\n", "\n", " print(\"- release date =\", release_date)\n", "\n", " data = release[\"data\"]\n", "\n", " for d in data:\n", " data_points = d[\"dataPoints\"]\n", " for data_point in data_points:\n", " period_start_at = data_point[\"deliveryPeriod\"][\"startAt\"]\n", " period_start.append(period_start_at)\n", " period_end_at = data_point[\"deliveryPeriod\"][\"endAt\"]\n", " period_end.append(period_end_at)\n", " period_name.append(data_point[\"deliveryPeriod\"][\"name\"])\n", "\n", " release_dates.append(release_date)\n", " # release_dates.append(datetime.strptime(release_date, '%Y-%m-%d'))\n", " ticker.append(release[\"contractId\"])\n", " cal_month.append(\n", " datetime.strptime(period_start_at, \"%Y-%m-%d\").strftime(\"%b-%Y\")\n", " )\n", "\n", " usd_day.append(int(data_point[\"derivedPrices\"][\"usdPerDay\"][\"spark\"]))\n", " day_min.append(\n", " int(data_point[\"derivedPrices\"][\"usdPerDay\"][\"sparkMin\"])\n", " )\n", " day_max.append(\n", " int(data_point[\"derivedPrices\"][\"usdPerDay\"][\"sparkMax\"])\n", " )\n", "\n", " historical_df = pd.DataFrame(\n", " {\n", " \"Release Date\": release_dates,\n", " \"ticker\": ticker,\n", " \"Period Name\": period_name,\n", " \"Period Start\": period_start,\n", " \"Period End\": period_end,\n", " \"Calendar Month\": cal_month,\n", " \"Spark\": usd_day,\n", " \"SparkMin\": day_min,\n", " \"SparkMax\": day_max,\n", " }\n", " )\n", "\n", " historical_df['Release Date'] = pd.to_datetime(historical_df['Release Date'],format='%Y-%m-%d')\n", "\n", " return historical_df" ] }, { "cell_type": "markdown", "id": "7135318a", "metadata": {}, "source": [ "# Call those functions for Spark30FFA and Spark25FFA\n", "\n", "We call the function defined above and create two dataframes:\n", "\n", "- spark25ffa - storing all historical Spark25FFA data\n", "- spark30ffa - storing all historical Spark30FFA data" ] }, { "cell_type": "code", "execution_count": 13, "id": "b367acfe", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "spark25ffa-monthly\n", ">>>> Get price releases for spark25ffa-monthly\n", "- release date = 2024-10-16\n", "- release date = 2024-10-15\n", "- release date = 2024-10-14\n", "- release date = 2024-10-11\n", "- release date = 2024-10-10\n", "- release date = 2024-10-09\n", "- release date = 2024-10-08\n", "- release date = 2024-10-07\n", "- release date = 2024-10-04\n", "- release date = 2024-10-03\n", "- release date = 2024-10-16\n", "- release date = 2024-10-15\n", "- release date = 2024-10-14\n", "- release date = 2024-10-11\n", "- release date = 2024-10-10\n", "- release date = 2024-10-09\n", "- release date = 2024-10-08\n", "- release date = 2024-10-07\n", "- release date = 2024-10-04\n", "- release date = 2024-10-03\n", "spark30ffa-monthly\n", ">>>> Get price releases for spark30ffa-monthly\n", "- release date = 2024-10-16\n", "- release date = 2024-10-15\n", "- release date = 2024-10-14\n", "- release date = 2024-10-11\n", "- release date = 2024-10-10\n", "- release date = 2024-10-09\n", "- release date = 2024-10-08\n", "- release date = 2024-10-07\n", "- release date = 2024-10-04\n", "- release date = 2024-10-03\n", "- release date = 2024-10-16\n", "- release date = 2024-10-15\n", "- release date = 2024-10-14\n", "- release date = 2024-10-11\n", "- release date = 2024-10-10\n", "- release date = 2024-10-09\n", "- release date = 2024-10-08\n", "- release date = 2024-10-07\n", "- release date = 2024-10-04\n", "- release date = 2024-10-03\n" ] } ], "source": [ "spark25ffa = fetch_ffa_prices(tickers[4], 10)\n", "\n", "spark30ffa = fetch_ffa_prices(tickers[8], 10)" ] }, { "cell_type": "markdown", "id": "d6d505e5", "metadata": {}, "source": [ "# Save as separate Excel Spreadsheets \n", "\n", "For those more comfortable sorting through categorical data in Excel, we can easily export these DataFrames as separate Excel Files.\n", "\n", "These Excel files will include the raw data. From here, the data can be grouped or transformed into a Pivot Table in Excel, so that data can be filtered by Release Date or other suitable variables." ] }, { "cell_type": "code", "execution_count": 14, "id": "8166d17d", "metadata": {}, "outputs": [], "source": [ "save_to_excel = False # change value as you see fit\n", "\n", "if save_to_excel == True:\n", " path_25ffa = \"/tmp/Spark25ffa_historical.xlsx\"\n", " spark25ffa.to_excel(path_25ffa)\n", "\n", " path_30ffa = \"/tmp/Spark30ffa_historical.xlsx\"\n", " spark30ffa.to_excel(path_30ffa)" ] }, { "cell_type": "markdown", "id": "9126aa2b", "metadata": {}, "source": [ "# Analytics using Python \n", "\n", "Alternatively, we can group and analyse the data here in the script.\n", "\n", "Below are some examples of how this data can be filtered, grouped and analysed." ] }, { "cell_type": "code", "execution_count": 15, "id": "d88b0cea", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/v3/5pn2lssn077ch9xm2rttdmym0000gn/T/ipykernel_95286/1131647169.py:8: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " spark30latest_ffa = spark30_groups.get_group(releases[-1])\n" ] }, { "data": { "text/html": [ "
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Release DatetickerPeriod NamePeriod StartPeriod EndCalendar MonthSparkSparkMinSparkMax
02024-10-16spark30ffa-monthlyM+02024-10-012024-10-31Oct-2024427504200044500
12024-10-16spark30ffa-monthlyM+12024-11-012024-11-30Nov-2024425004000043000
22024-10-16spark30ffa-monthlyM+22024-12-012024-12-31Dec-2024477504200052000
32024-10-16spark30ffa-monthlyM+32025-01-012025-01-31Jan-2025510004300055000
42024-10-16spark30ffa-monthlyM+42025-02-012025-02-28Feb-2025460004300048000
\n", "
" ], "text/plain": [ " Release Date ticker Period Name Period Start Period End \\\n", "0 2024-10-16 spark30ffa-monthly M+0 2024-10-01 2024-10-31 \n", "1 2024-10-16 spark30ffa-monthly M+1 2024-11-01 2024-11-30 \n", "2 2024-10-16 spark30ffa-monthly M+2 2024-12-01 2024-12-31 \n", "3 2024-10-16 spark30ffa-monthly M+3 2025-01-01 2025-01-31 \n", "4 2024-10-16 spark30ffa-monthly M+4 2025-02-01 2025-02-28 \n", "\n", " Calendar Month Spark SparkMin SparkMax \n", "0 Oct-2024 42750 42000 44500 \n", "1 Nov-2024 42500 40000 43000 \n", "2 Dec-2024 47750 42000 52000 \n", "3 Jan-2025 51000 43000 55000 \n", "4 Feb-2025 46000 43000 48000 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Filtering by release date\n", "spark30_groups = spark30ffa.groupby([\"Release Date\"])\n", "\n", "# Get the latest release date\n", "releases = list(spark30_groups.groups.keys())\n", "\n", "# Using this date, get the latest FFA prices\n", "spark30latest_ffa = spark30_groups.get_group(releases[-1])\n", "spark30latest_ffa.head()" ] }, { "cell_type": "markdown", "id": "18dbb3a6", "metadata": {}, "source": [ "# Analytics Gallery\n", "Want to gain market insights using our data?\n", "\n", "Take a look at our [Analytics Gallery](https://www.sparkcommodities.com/api/code-examples/analytics-examples.html) on the Spark API website, which includes:\n", "\n", "- __Spark30 FFAs Seasonality Chart__ - Compare how Spark30FFA prices for a given contract month evolve over time, and see how similar contract months in previous years compare (e.g. Dec22 vs Dec23 vs Dec24).\n", "\n", "View our FFAs Seasonality Chart [here](https://www.sparkcommodities.com/api/code-examples/analytics-examples.html). \n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.6" } }, "nbformat": 4, "nbformat_minor": 5 }