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AI-Assisted SQL

Modern AI tools can significantly accelerate your query development process for the Quantify service. By providing the schema information to AI assistants, you can quickly generate custom SQL queries without deep knowledge of the database structure.

Leveraging AI for Query Creation​

You can use AI tools like Claude, Gemini, or ChatGPT to:

  1. Generate complex SQL queries based on natural language descriptions
  2. Debug and optimize existing queries
  3. Explore new ways to analyze your backtest data
  4. Learn SQL techniques specific to your data

How to Use AI Tools for Query Generation​

  1. Provide schema information - Share the database schema details from the earlier sections of this documentation
  2. Describe your objective - Clearly explain what insights you're looking for
  3. Iterate on results - Refine your prompts based on the generated queries

Example Prompt​

Here's an example of a prompt you might use with an AI assistant:

I'm working with a database that contains backtest results from financial strategy simulations. 
Here's the schema of my main table:

[Paste the backtest_results schema here]

I'd like to create a query that:
1. Groups backtests by strategy_name
2. Calculates average Sharpe ratio, max drawdown, and CAGR for each template
3. Only includes backtests with at least 50 trades
4. Sorts results by average Sharpe ratio descending

Can you help me write this SQL query?

Tips for Effective AI-Assisted Query Development​

  1. Start with the schema - Always provide the relevant table schema first
  2. Be specific - Clearly describe the analysis you want to perform
  3. Provide examples - If you have similar queries, share them as references
  4. Explain domain concepts - Briefly explain key financial or strategy concepts
  5. Request optimizations - Ask for ways to make the query more efficient
  6. Seek explanations - Ask the AI to explain complex parts of the generated query

Advanced Uses​

Beyond basic query generation, you can use AI tools to:

  • Create query templates with placeholders for variables
  • Generate queries that implement complex statistical analyses
  • Build comparative analyses across multiple backtest runs
  • Develop data visualization specifications based on query results

By combining the power of AI assistants with the Quantify service, you can rapidly iterate on your data analysis workflows and discover new insights in your backtest results.