> For the complete documentation index, see [llms.txt](https://algoalpha.gitbook.io/algoalpha-user-manual/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://algoalpha.gitbook.io/algoalpha-user-manual/atlas-ai-backtesting-agent/your-first-strategy-search.md).
# Your First Strategy Search
This guide takes you from opening Atlas to reviewing your first set of strategy results.
## Step 1: Type Your Query
In the Atlas chat, type what you're looking for. For example:
> "Show me the best SSA strategies for Bitcoin on the 1-hour timeframe"
Press **Enter** or click the send button.
### Step 2: Answer Any Follow-Up Questions
If Atlas needs more detail, it will present you with multiple-choice options. For example, it might ask which direction you prefer — Long Only, Short Only, or Both.
Click an option to continue, or type your answer.
### Step 3: Review Your Results
Atlas displays up to 5 matching strategies, each with:
* A **metrics panel** showing Net Profit, Trades, Win Rate, Max DD, Profit Factor, Sharpe ratio, and Overfit %
* An **equity curve chart** showing how the strategy performed over time
* The **entry and exit conditions** (which trigger and states were used)
### Step 4: Keep Exploring
Continue the conversation to dig deeper:
* *"Show me the same for ETH"*
* *"Any of these with a drawdown under 10%?"*
* *"Sort by win rate instead"*
* *"What does the Fair Value Trail filter do?"*
Atlas remembers your conversation context (within each session), so you can refine naturally.
Atlas remembers your conversation context (within each session), so you can refine naturally.
### Step 5: Save the Ones Worth Tracking
Found a strategy you want to keep? Click the **star icon** on its result card to save it to your Saved Strategies dashboard. Saved strategies are re-validated weekly against the refreshed database, so you'll know when one stops clearing the quality filters.
