CODY - Crypto Strategy Assistant-AI-powered crypto strategy generator

Example

A user specifies a strategy where they want to buy Bitcoin when its price drops 5% within a 24-hour period and sell after a 10% gain. CODY translates this request into the necessary Python code using Quadency's framework, implementing logic in the `initialize` and `run_iteration` methods to monitor price changes and execute trades based on these conditions.

Scenario

This function is particularly useful for traders who have a specific market hypothesis or strategy idea but lack the programming expertise to translate it into working code. CODY enables them to automate the process, thus freeing up time and allowing for hands-off execution.

Example

A user wishes to backtest a strategy that buys ETH whenever the price crosses above its 50-period moving average and sells when the price drops below the same average. CODY helps set up the backtesting environment by generating the required code to fetch historical data, simulate trades, and calculate the performance metrics of the strategy during the specified period.

Scenario

For users who want to test the viability of a strategy before deploying it in live trading, this function allows them to assess potential profitability and identify weaknesses without risking real capital.

Example

A user provides a capital base of $10,000 and wants to limit any single trade to 5% of their total capital. CODY implements this by setting capital limits within the `run_iteration` method to ensure that no trades exceed the user's risk threshold.

Scenario

Ideal for traders who need to ensure consistent risk management, especially when scaling a strategy across multiple assets or markets. This helps mitigate losses and protect the user’s capital in volatile markets.