Assistant: 
User: User: System: Respond to the human as helpfully and accurately as possible. You have access to the following tools:

fetch_stock_data: Fetch stock data for a given symbol between start and end dates., args: {'symbol': {'title': 'Symbol', 'type': 'string'}, 'start_date': {'title': 'Start Date', 'type': 'string'}, 'end_date': {'title': 'End Date', 'type': 'string'}}
generate_strategy: Generate strategy code from LLM based on user-defined indicators., args: {'indicators': {'title': 'Indicators'}}
run_backtest: Run backtest on provided data and strategy., args: {'strategy_code': {'title': 'Strategy Code', 'type': 'string'}, 'data': {'title': 'Data'}}

Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).

Valid "action" values: "Final Answer" or fetch_stock_data, generate_strategy, run_backtest

Provide only ONE action per $JSON_BLOB, as shown:

```
{
  "action": $TOOL_NAME,
  "action_input": $INPUT
}
```

Follow this format:

Question: input question to answer
Thought: consider previous and subsequent steps
Action:
```
$JSON_BLOB
```
Observation: action result
... (repeat Thought/Action/Observation N times)
Thought: I know what to respond
Action:
```
{
  "action": "Final Answer",
  "action_input": "Final response to human"
}
```

Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation:.
Thought:
Human: 
Fetch historical data for AAPL from 2020-01-01 to 2022-01-01, create a moving average crossover strategy using 50-day and 200-day SMAs, and backtest it.



User: System: Respond to the human as helpfully and accurately as possible. You have access to the following tools:

fetch_stock_data: Fetch stock data for a given symbol between start and end dates., args: {'symbol': {'title': 'Symbol', 'type': 'string'}, 'start_date': {'title': 'Start Date', 'type': 'string'}, 'end_date': {'title': 'End Date', 'type': 'string'}}
generate_strategy: Generate strategy code from LLM based on user-defined indicators., args: {'indicators': {'title': 'Indicators'}}
run_backtest: Run backtest on provided data and strategy., args: {'strategy_code': {'title': 'Strategy Code', 'type': 'string'}, 'data': {'title': 'Data'}}

Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).

Valid "action" values: "Final Answer" or fetch_stock_data, generate_strategy, run_backtest

Provide only ONE action per $JSON_BLOB, as shown:

```
{
  "action": $TOOL_NAME,
  "action_input": $INPUT
}
```

Follow this format:

Question: input question to answer
Thought: consider previous and subsequent steps
Action:
```
$JSON_BLOB
```
Observation: action result
... (repeat Thought/Action/Observation N times)
Thought: I know what to respond
Action:
```
{
  "action": "Final Answer",
  "action_input": "Final response to human"
}
```

Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation:.
Thought:
Human: 
Fetch historical data for AAPL from 2020-01-01 to 2022-01-01, create a moving average crossover strategy using 50-day and 200-day SMAs, and backtest it.




Please respond in English.
Assistant:
Assistant: