I present to you an example/prototype run at a contract valuation program. This type of script could be a potential basis for a fully automated quoting to clients. This program is based on data for the market for natural gas, where a pricing model is used to predict the prices at given dates of client actions. Client actions being either injections or withdrawals of a given volume of natural gas into or out of a natural gas storage facility (injection occurring at client purchase and withdrawal occurring at client sell).

The valuation of a contract is simple: the difference between the price you can sell and the price you are able to buy. This program runs on a previously made pricing model to determine this difference (of course this model can be changed if the parameters of a given contract will change).
However, there will also be extra costs incurred to the client during the duration of the contract. There is will rental/ usage costs for the storage facility, logistical costs, etc...
Hence, various measures to automate the total effective contract/agreement valuation in the code have been taken to make sure all cash flows are being taken into account.

In addition, there are other parameters which affect the behaviour of the contract which need to be taken into account. Such as the ability for the client to choose multiple dates to inject or withdraw a set volume of natural gas. Therefore, the program allows as many dates as the client wants to do so, making sure all parameters to the contract are not violated in the process.
Other simple constrictions, such as maximum storage capacities have been implemented. Also, this code takes into account a daily limit for injection or withdrawal, in and out, of the storage facility. In this specific case, the injection and withdrawal were assumed to be separate, with their own daily limits, i.e. an injection will not interfere with a withdrawal. This means that some client actions will need to be delayed as others done previously may not yet be complete. These intricacies, whether it is backlogged volumes to be injected or possible periods of surpassed maximum storage capacity between client action dates, have all been accounted for in the code.

⚠ Note to user: Please be aware that this is not a pricing model/contract valuation script used by any official traders and/or trading companies. This is simply a project fueled by my own intrigue in the subject and desire to understand the methods behind quantitative research.

Thank you for taking the time to look through my code. Of course, if you have any questions do not hesitate to send me a message on any of my listed contacts.