A new video has been added to the online course 5.20 in the Classroom. This video explains what an option chain is. An option is a contract that gives its owner the right to buy or sell an asset (it is called 'underlying asset') such as WTI crude oil (in this example) at a fixed price (called 'strike price') by a certain date when the option expires. The underlying asset is WTI Crude in this case . WTI stands for West Texas Intermediate. It is the main crude oil benchmark in the United States. When you hear "oil prices" in American news, they're usually referring to WTI. Crude oil is unrefined petroleum extracted from the ground. Its spot price is $78.5/barrel. The spot price changes every second. An option chain is a set of options having the same underlying asset. In this case, the chain has a set of 5 call options has the same underlying asset i.e. WTI Crude. So in this video WTI crude oil is trading at $78.50 per barrel. We have five options with different strike prices: $70, $75, $80, $85, and $90. I explain what these numbers mean and how they form an option chain.

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Are there any reports, current documents, and reports related to the nuclear sector and SMR that you can recommend, as well as a synthesis of the nuclear situation within WEO 2025?

I'm working on Course 5.18 (Retail Electricity Market in Python) and want to design a study to optimize energy consumption costs. My idea: For a small food business (e.g., burger shop), calculate the energy cost per product. This would involve: - Tracking appliance consumption (grill, fryer, refrigerator) - Linking to time-of-use electricity pricing - Determining which products/times are most cost-effective How would you structure this analysis step-by-step in Python? What data would I need, and which calculations are most important?