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Cyryl Płotnicki 2024-07-08 10:13:55 +01:00
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fi1/README.md
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@ -27,20 +27,20 @@ flowchart TD
> Round shape indicates an actor
The platform is intended to support up to 5 million members. The following are the meanings of terms used by ACME:
• Internal Account - a logical account within the internal ledger that records the holding of an amount of cash or units of assets
• Pot - a collection of Internal Accounts that belong to a Member, ACME, an external body, e.g. an Asset Custodian
• External Account - a real account in an external organisation, e.g. a bank account with a bank or an asset account
* Internal Account - a logical account within the internal ledger that records the holding of an amount of cash or units of assets
* Pot - a collection of Internal Accounts that belong to a Member, ACME, an external body, e.g. an Asset Custodian
* External Account - a real account in an external organisation, e.g. a bank account with a bank or an asset account
with an asset custodian.
• Re-balancing - the process of adjusting the number of units held for each of a number of assets in the asset Internal Account in a Pot to ensure the mix is correct for the chosen risk profile.
• Asset custodian - a body that holds asset units on behalf of ACME and trades them when instructed.
* Re-balancing - the process of adjusting the number of units held for each of a number of assets in the asset Internal Account in a Pot to ensure the mix is correct for the chosen risk profile.
* Asset custodian - a body that holds asset units on behalf of ACME and trades them when instructed.
Consider the description above in an event driven platform with information stored in a database. How would you design such a system and what challenges would you expect to find? The solution should consider the following:
• ACME is regulated by 3 financial authorities and the data we hold must be 100% accurate
• Assets may be bought and sold
• There are some automated processes, e.g. re-balancing, that generate large numbers of buy and sell trades as the prices of assets move.
• There are some processes that must process large amounts of data, e.g. reconciliation
• This is not a real time trading environment, prices are always closing prices, external trades are only placed with
asset custodians on a daily basis.
* ACME is regulated by 3 financial authorities and the data we hold must be 100% accurate
* Assets may be bought and sold
* There are some automated processes, e.g. re-balancing, that generate large numbers of buy and sell trades as the prices of assets move.
* There are some processes that must process large amounts of data, e.g. reconciliation
* This is not a real time trading environment, prices are always closing prices, external trades are only placed with asset custodians on a daily basis.
Assuming the platform is implemented in Go, what patterns would you use to enable large numbers (c200-300) processes to be produced in a consistent and repeatable manner by multiple teams?
## interpretation of the text