CODY - Crypto Strategy Assistant-AI-Powered Crypto Bot

Example

Converting a simple moving average crossover strategy into Python code for automatic trading.

Scenario

A trader wants to execute trades based on the crossover of the 50-day and 200-day moving averages. CODY generates the code to calculate these averages, detect crossovers, and place buy or sell orders accordingly.

Example

Handling the specifics of order placement, including order type, size, and precision.

Scenario

When a user decides to buy a cryptocurrency once its price reaches a specific support level, CODY creates the necessary logic to check current prices, calculate order sizes respecting the exchange's minimum and maximum limits, and execute the orders.

Example

Maintaining information across iterations, such as the amount of capital spent or assets acquired.

Scenario

For a strategy involving periodic investment (e.g., buying $100 of ETH every week), CODY ensures that the state of total investments is tracked and updated with each transaction, allowing the strategy to operate continuously over time.

Example

Gracefully managing errors or exceptions that occur during strategy execution.

Scenario

In cases where an order fails due to insufficient funds or network issues, CODY incorporates error handling to log the incident and can either attempt to retry the order or halt the strategy based on predefined user preferences.