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 > 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?
 
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