This repository contains Python code for implementing various algorithmic trading strategies. Each strategy is implemented as a separate function within a class and is designed to execute specific trading actions based on market conditions.

To use these trading strategies, follow these steps:

1. Clone this repository to your local machine.
2. Install the required dependencies. You can do this by running pip install -r requirements.txt.
3. Import the trading strategy functions into your project.
4. Initialize the trading environment and provide necessary parameters such as trading state, market data, and any additional indicators required by the strategy.
5. Call the desired trading strategy function with the appropriate parameters.
6. Execute the returned orders generated by the trading strategy.

• Description: Executes trades based on the bid-ask spread of a specific asset.
• Function: amethyst_strategy(self, state: TradingState)
• Parameters: state - The current trading state containing market data.
• Logic: Determines whether to buy or sell based on the bid-ask spread relative to a default price.

• Description: Implements trades based on the position and exponential moving average (EMA) of an asset.
• Function: starfruit_strategy(self, state: TradingState)
• Parameters: state - The current trading state containing market data.
• Logic: Adjusts buy and sell orders based on the position and EMA of the asset.

• Description: Executes trades based on the derivatives of sunlight and humidity.
• Function: orchids_strategy(self, state: TradingState, sunlight, humidity)
• Parameters: state - The current trading state containing market data, sunlight - Time series data for sunlight, humidity - Time series data for humidity.
• Logic: Buys or sells based on the derivatives of sunlight and humidity, resetting the position if they become discordant.

• Description: Implements trades based on the spread between a gift basket and its components.
• Function: choco_straw_rose_bask_strategy(self, state: TradingState)
• Parameters: state - The current trading state containing market data.
• Logic: Determines whether to buy or sell the gift basket based on the spread between its price and the combined price of its components.

• Description: Executes trades based on the spread between coconut and coconut_coupon.
• Function: coco_strategy(self, state: TradingState)
• Parameters: state - The current trading state containing market data.
• Logic: Waits for enough data points to estimate the mean and standard deviation of the spread, then buys or sells based on predefined thresholds.