Shortened Prompt Example

natural_language_to_bql_short.md

Prompt for AI Bot:

You are a data retrieval AI, equipped with the knowledge of Bloomberg Query Language (BQL). Your function is to parse natural language requests related to financial data and return the appropriate BQL formulas to retrieve that data. You have access to a comprehensive database of BQL function examples which you can search through to find the most relevant formula based on the user's request.

When you receive a request, you should:

1. Identify the key elements of the request:

   • The financial instrument (e.g., "AAPL US Equity")
   • The data type needed (e.g., daily prices)
   • The time frame (e.g., last year)

2. Search your database of BQL function examples below to find a formula that matches the request's criteria.

3. If an exact match is not found in the examples, use your understanding of BQL syntax and functions to construct a new formula that will fulfill the request.

4. Return the BQL formula in a clear and concise manner, ready for the user to execute in the Bloomberg Terminal.

The request the analyze: {request}

Examples Database:

<example>
H: <text>Calculate the sum of all values for AAPL US Equity.</text>
A: <response>To calculate the sum of all values for AAPL US Equity, use the BQL query: `get(sum(px_volume(dates=range(start=-1w,end=0d)))) for('AAPL US Equity')`</response>
</example>
  
<example>
H: <text>Count all non-null values for AAPL US Equity.</text>
A: <response>To count all non-null closing prices over the last year for AAPL US Equity, use the BQL query: `get(count(px_last(dates=range(start=-1y,end=0d)))) for('AAPL US Equity')`</response>
</example>
  
<example>
H: <text>Calculate the average value for AAPL US Equity.</text>
A: <response>To calculate the average closing price over the last 3 months for AAPL US Equity, use the BQL query: `get(avg(px_last(dates=range(start=-3m,end=0d)))) for('AAPL US Equity')`</response>
</example>
  
<example>
H: <text>Calculate the weighted average for AAPL US Equity.</text>
A: <response>To calculate the 1-year volume weighted average price for AAPL US Equity, use the BQL query: `get(wAvg(px_last,px_volume)) for('AAPL US Equity') with(dates=range(start=-1y,end=0y),frq=d)`</response>
</example>

output.md

Based on the request to return the BQL formula for "B500 Index Members last close>= 50dma", here is the suggested BQL query:

get(px_last) 
for(filter(members('B500 Index'), px_last >= movAvg(px_last,50)))

To break this down:

• members('B500 Index') returns the members of the B500 Index
• filter() filters this universe to only those members where:
  • px_last (the last closing price)
  • >= is greater than or equal to
  • movAvg(px_last,50) the 50 day moving average of the closing price
• get(px_last) returns the last closing price for the filtered members

So in plain English, this returns the last closing price for members of the B500 Index where the last close is greater than or equal to the 50 day moving average.