Download in Bulk

To unlock local access to the US Index Options dataset, open the Pricing page of your organization and subscribe to at least one of the following data packages:

• US Index Options Daily Updates by AlgoSeek
• US Index Options Hour History by AlgoSeek
• US Index Options Minute History by AlgoSeek

If you don't already subscribe to the US Index Option Universe by QuantConnect data package, subscribe to it too. You need billing permissions to change the organization's subscriptions.

After you subscribe to local access, follow these steps to download the data:

1. Log in to the Algorithm Lab.
2. On the CLI tab of the dataset listing, use the CLI Command Generator to generate your download command and then copy it.
3. Open a terminal in your organization workspace and then run the command from the CLI Command Generator.

To download the US Index Option Universe data, run:

$ lean data download --dataset "US Index Option Universe" --data-type "bulk" --start "20250403" --end "20250403"

After you bulk download the US Index Options dataset, new daily updates are available at 8 PM Coordinated Universal Time (UTC) two days after each trading day. For example, the minute resolution data for Monday is available on Wednesday at 8 PM UTC. To unlock local access to the data updates, open the Pricing page of your organization and subscribe to at least one of the following data packages:

• US Index Options Daily Updates by AlgoSeek
• US Index Options Minute Updates by AlgoSeek
• US Index Options Hour Updates by AlgoSeek

You need billing permissions to change the organization's subscriptions.

After you subscribe to dataset updates, to update your local copy of the US Index Options dataset, use the CLI Command Generator to generate your download command and then run it in a terminal in your organization workspace. Alternatively, instead of directly calling the lean data download command, you can place a Python script in the data directory of your organization workspace and run it to update your data files. The following example script updates all data resolutions:

import os
import pandas as pd
from datetime import datetime, time, timedelta
from pytz import timezone
from os.path import abspath, dirname
os.chdir(dirname(abspath(__file__)))

OVERWRITE = False

# Define a method to download the data
def __download_data(resolution, start=None, end=None):
    print(f"Updating {resolution} data...")
    command = f'lean data download --dataset "US Index Options" --data-type "Bulk"  --resolution "{resolution}"'
    if start:
        end = end if end else start
        command += f" --start {start} --end {end}"
    if OVERWRITE:
        command += " --overwrite"
    print(command)
    os.system(command)

def __get_end_date() -> str:
    now = datetime.now(timezone("US/Eastern"))
    if now.time() > time(7,30):
        return (now - timedelta(1)).strftime("%Y%m%d")
    print('New data is available at 07:30 AM EST')
    return (now - timedelta(2)).strftime("%Y%m%d")

def __download_high_frequency_data(latest_on_cloud):
    for resolution in ["minute"]:
        dir_name = f"indexoption/usa/{resolution}/spx".lower()
        if not os.path.exists(dir_name):
            __download_data(resolution, '19980101')
            continue
        latest_on_disk = sorted(os.listdir(dir_name))[-1].split('_')[0]
        if latest_on_disk >= latest_on_cloud:
            print(f"{resolution} data is already up to date.")
            continue
        __download_data(resolution, latest_on_disk, latest_on_cloud)

def __download_low_frequency_data(latest_on_cloud):
    for resolution in ["daily", "hour"]:
        file_name = f"indexoption/usa/{resolution}/spx.zip".lower()
        if not os.path.exists(file_name):
            __download_data(resolution)
            continue
        latest_on_disk = str(pd.read_csv(file_name, header=None)[0].iloc[-1])[:8]
        if latest_on_disk >= latest_on_cloud:
            print(f"{resolution} data is already up to date.")
            continue
        __download_data(resolution)

if __name__ == "__main__":
    latest_on_cloud = __get_end_date()
    __download_low_frequency_data(latest_on_cloud)
    __download_high_frequency_data(latest_on_cloud)

The preceding script checks the date of the most recent minute resolution data you have for SPX. If there is new minute data available, it downloads the new data files and overwrites your hourly and daily files. If you don't intend to download all resolutions, adjust this script to your needs.

To update your local copy of the US Index Option Universe data, see Download Daily Updates.

The following table shows the size of the US Index Options dataset for each resolution:

For examples, see the Data / indexoption / usa / daily directory in the LEAN repository.

To view the prices of the datasets, see the Pricing tab of the US Index Options and US Index Option Universe dataset listings.