Backend Engineers and System Architects
Designing the architecture for a new cryptocurrency or stock trading backend
The Crash Procrastination mind map template provides a technical blueprint for developers and system architects to manage complex data workflows, specifically focusing on the 'Orders and trading history' logic. This 21-node Crash Procrastination cheat sheet serves as a functional map for building robust backend systems, covering critical database operations and engine logic. By utilizing this Crash Procrastination template, teams can visualize the interaction between the 'backend server db' and the 'backend engine ce' to ensure seamless execution of financial transactions. The structure details specific functions such as 'save buy limit order data func' and 'save oco order data func', providing a clear path for implementation. It effectively breaks down the technical debt and complexity that often leads to development delays, offering a concrete guide for coding 'Args [account-number , ticker, price, qty ]' and other essential parameters.
Terms and ConditionsDesigning the architecture for a new cryptocurrency or stock trading backend
Documenting existing trading logic for team onboarding and code reviews
Debugging order execution flows and database save functions
Open the .xmind file in Xmind desktop or web app to view the full trading history structure.
Replace the generic 'save' and 'delete' function nodes with your specific codebase method names.
Update the 'Args' branch to include any additional parameters your trading engine requires, such as timestamps or API keys.
This template includes a comprehensive breakdown of backend trading logic, specifically focusing on database functions, engine verification steps, and the necessary arguments for processing buy limit and OCO orders.
You can use this map as a technical specification. Start by implementing the 'backend server db' functions and then move to the 'backend engine ce' logic to handle order state transitions and data validation.
Yes, the template is fully editable. You can customize the 'Args' nodes to match your specific database schema or add new branches for different order types like market or stop-loss orders.
It is used to define the computational logic that checks order status. It specifically maps out how to read 'data['OrderID']' and determine if a price is higher or if an order state is filled.
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