# Guide

Hedgewater 2.0 allows users to either:

* **Select from in-house strategies** (built by our team), or
* **Create their own fully custom AI trading agent**.

Whether you're a beginner looking to get started quickly or an advanced trader with a refined strategy, Hedgewater 2.0 gives you the flexibility to automate your edge.<br>

#### Step 1: Choose a Strategy

* **Option A: In-House Strategies**\
  \
  These strategies are plug-and-play and can be used as-is or further customized.<br>
* **Option B: Build Your Own Strategy**\
  \
  For users who want full control, Theres is optionality to define every aspect of the AI agent.

<figure><img src="/files/FIVT8vxjg95v2riRZpKR" alt=""><figcaption></figcaption></figure>

#### Step 2: Choose an LLM Model

Different **LLM models** are available for powering your agent’s decision-making. Each model has:

* **Varying levels of intelligence and reasoning**
* **Associated compute costs** based on complexity and inference latency

Choose the model that fits your performance needs and budget.

#### Step 3: Configure Core Agent Parameters

Customize the fundamental behavior of your trading agent:

* **Base Token**: Choose between `HYPE`, `uBTC`, `USDT0` or `HWTR`
* **Minimum Trade Size**: The minimum % of your portfolio to allocate per trade
* **Maximum Trade Size**: The cap on portfolio % used in any single trade
* **Trade Frequency**: How often the AI scans the market for opportunities

<figure><img src="/files/3c9zFnNk3GFNVN9a8KCx" alt=""><figcaption></figcaption></figure>

#### Step 4: Define the Strategy Blueprint

This is the most critical part of the configuration, defining the intelligence and behavior of your AI agent.

* **Risk Profile**\
  Choose a predefined **risk level** (e.g. Conservative, Balanced, Aggressive). Each profile includes a **recommended token list**, which you can freely modify to suit your preferences.
* **Strategy Description**\
  Provide a concise summary that captures your:

  * Risk tolerance
  * Market view (e.g. trending, choppy, sideways)
  * Tactical preferences (e.g. breakout vs retracement)

  This description guides the LLM in understanding your trading philosophy.
* **Execution Rules**\
  You can either:

  * **Use preset execution logic** (e.g., "Avoid trades 24 hrs before macro events", "Enter only on EMA crossovers")
  * **Define fully custom logic**, specifying exactly how and when trades should be executed

  This allows you to capture even the most nuanced trading styles in code—without writing a line of code.

<figure><img src="/files/DNe1dQ8CSccG55fOhRO7" alt=""><figcaption></figcaption></figure>


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