ORATS offers Quantpedia users 10% discounts on 1) options market data with implied volatilities, theoretical values and greeks delivered through an API, and 2) web-based tools to backtest, scan, view chains, charts and assess company analysis.

• The Data API provides live market data and hundreds of data points. Get current and historical options information like constant maturity IV, historical volatilities, skew information, earnings information and hundreds more data points, explained here: https://docs.orats.io/datav2-api-guide/
• The web-based Wheel platform offers powerful options tools like backtesting, scanning, and charting that utilize ORATS deep historical dataset of signals. Also offered are options chains and position risk management.
  
  

ORATS offers Quantpedia users 33% discounts on historical quotes.

Historical Quotes

Historical near end-of-day quotes back to 2007 via FTP are available for a special price of $399 per year for updating files daily plus only $399 one time fee for initial bulk download.

We offer live 1-minute snapshots for $99 per month, and offer history back to August 2020 for $499. Here is a large download of a sample of a 1-minute intraday snapshot.

The instructions for users to set up a S3 bucket on Amazon Web Services for delivery of the 1-minute snapshots require are in the links.

More information on our quotes is here https://info.orats.com/quotes

Here is more on the web-based tools (pricing below):

Backtest

Test your strategies before trading them in the market. Tweak your criteria, like delta and days to expiration and hundreds more triggers. The Backtester simulates an option strategy using daily data back to 2007.  You can find backtester samples, instructions, videos, and tutorials here. We offer a 10% discount on Wheel Backtester for Quantpedia's readers.

For example: "I want to buy a SPY 5% out-of-the-money put spread every time MACD and implied volatility contango goes negative," here's how.

Tools for Stocks and Options Scanning, Analysis and Options Chains