> For the complete documentation index, see [llms.txt](https://splurge-1.gitbook.io/splurgefi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://splurge-1.gitbook.io/splurgefi/get-started.md).

# Get Started

### Regular Order 

1. **Input and Output Tokens for Trade Orders**:
   * For a **Buy Order**: Set the input token as WETH.
   * For a **Sell Order**: Set the output token as WETH.
2. **Selecting Percent Change for Trade Execution**:
   * Specify a percentage for the trade trigger.
   * Example: If you choose 5% for a buy order, the system will execute the purchase when the 15-minute moving average price of the output token decreases by 5%.
3. **Automation Order Duration and Conditions**:
   * Orders remain active until a specified deadline.
   * If the trade condition (i.e. percent change) is not met by the deadline, the trade is not executed.
   * You can view all active and past trades on the *View Trades* page.

### Swap Over Time Order 

The instructions to set up a Swap Over Time order is very similar to the instructions above, with the exception of *Batches* and *Time Between Batches*. 

1. **Batches**:
   * **Dividing the Order**: Your total order is divided into smaller parts, known as batches.
   * **Execution per Batch**: Each batch is executed independently when the trade condition is met.
   * **Example**: If you set up an automated buy order for 300 WETH, divided over 3 batches, with a condition that the 15-minute moving average price decreases by 5%, then each batch will involve swapping 100 WETH. 
2. **Time Between Batches**:
   * **Choosing Execution Interval**: You can select the minimum time interval between the execution of each batch.
   * **Options for Interval**: The available intervals are 15 minutes, 1 hour, 4 hours, or 24 hours.
   * **Purpose**: This interval accounts for immediate fluctuations in price, allowing for a more spread out execution and potentially reducing the impact of short-term price volatility.