PYTHON RITHMIC TRADING BOT DEVELOPMENT

Specification for Developing a Rithmic Trading Bot in Python with gRPC 1.
Project Objective Develop a Python trading bot to execute automated trading operations on the Rithmic platform via API, using gRPC for efficient inter-service communication.
The bot should include features for portfolio management, price tracking, and order handling with fault tolerance mechanisms.
2.
Technologies and Environment Language.
Python Communication Framework.
gRPC for efficient inter-service communication, using Protocol Buffers (Protobuf) for service definitions.
Python Modules.
grpcio, requests, hmac, hashlib, json, time Application Server.
gRPC-based server for bot interactions.
3.
Required Configurations Credentials.
Implement secure handling of username, password, and automated region retrieval for connection.
Environment Variables.
Configure the API endpoint (APIURL) securely through an environment file.
4.
gRPC Service Definitions The gRPC services should include the following key functionalities.
GetWalletBalance.
gRPC service to obtain the current wallet balance.
GetSymbolPrice.
gRPC service to retrieve the current price of a trading symbol.
PlaceMarketOrder.
gRPC service to execute a market order (buy/sell).
CloseOrder.
gRPC service to close an open position.
5.
Bot Features Request Signing.
Generate a unique HMAC-SHA256 signature for each request sent to the Rithmic API for secure authentication.
Balance Retrieval.
Implement a function to call the GetWalletBalance service through gRPC to obtain the wallet balance, with fault tolerance.
Price Tracking.
Implement GetSymbolPrice to retrieve the current price of a symbol with retry logic in case of incomplete responses.
Position Management.
Verify the size of open LONG and SHORT positions for each trading symbol.
Quantity Calculation.
Include functionality to calculate the quantity of a symbol based on the wallet balance and current price, with symbol-specific rounding.
Order Placement.
Use PlaceMarketOrder to place buy and sell market orders.
The function should include retry logic in case of transaction errors.
Order Closing.
Integrate the CloseOrder service to close open positions, verifying transaction success and wallet balance before and after the transaction.
6.
Fault Tolerance Retry and Repeat Attempts.
Ensure bot resilience by defining a number of retry attempts for critical API calls (for example, 100 for balance and price requests, and 3 for market orders).
Error Logging.
Log errors and failed attempts to facilitate debugging and tracking.
7.
Security and Credential Management Secure Credential Storage.
Store credentials (username, password) in environment variables, not in the codebase.
Authentication.
Create a unique signature for each request using hmac and sha256 to maintain credential security.
8.
Deliverables Documented Source Code.
Provide complete source code with comments for each main function.
User Guide.
A README file detailing installation, configuration, and bot usage.
Environment Configuration Example:.
login to view URL] file for environment setup, including secure handling of credentials and the API endpoint.
9.
Testing and Validation Unit Tests.
For each function, including balance retrieval, price tracking, and order placement.
Performance Tests.
Check response time for each gRPC service.
Resilience Tests.
Simulate API failures and verify fault tolerance.
The developer should be capable of creating a Rithmic account with AMP for testing purposes.
This specification ensures clarity on expectations for developing a Python trading bot using gRPC for the Rithmic platform.
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