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Finance SQL Generator - Banking Database Queries | AI2sql

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Finance SQL Generator - Banking Database Queries | AI2sql

Finance SQL Generator - Banking Database Queries | AI2sql

Finance SQL Generator - Banking Database Queries | AI2sql

Finance SQL Generator - Banking and Financial Analytics

Financial data requires precision, audit trails, and complex calculations. AI2sql Finance SQL Generator helps analysts, developers, and compliance teams create accurate queries for banking and financial applications.

Financial Data Challenges

  • Decimal precision - Currency calculations must be exact

  • Temporal accuracy - Point-in-time reporting

  • Regulatory compliance - Audit requirements

  • High volume - Millions of daily transactions

  • Complex relationships - Accounts, transactions, customers

Financial Query Examples

Account Balance Calculation

Input: "Calculate current balance from transactions"

SELECT 
  account_id,
  opening_balance + 
  SUM(CASE WHEN type = 'credit' THEN amount ELSE -amount END) as current_balance
 FROM accounts a
 LEFT JOIN transactions t ON a.id = t.account_id
 WHERE t.status = 'completed'
 GROUP BY account_id, opening_balance;

Daily Transaction Summary

Input: "Show daily deposits and withdrawals by branch"

SELECT 
  DATE(transaction_date) as date,
  branch_id,
  SUM(CASE WHEN type = 'deposit' THEN amount ELSE 0 END) as total_deposits,
  SUM(CASE WHEN type = 'withdrawal' THEN amount ELSE 0 END) as total_withdrawals,
  COUNT(*) as transaction_count
 FROM transactions
 WHERE transaction_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
 GROUP BY DATE(transaction_date), branch_id
 ORDER BY date DESC, branch_id;

Fraud Detection Query

Input: "Find accounts with unusual transaction patterns"

WITH account_stats AS (
  SELECT 
  account_id,
  AVG(amount) as avg_amount,
  STDDEV(amount) as std_amount,
  COUNT(*) as tx_count
  FROM transactions
  WHERE transaction_date >= DATE_SUB(CURDATE(), INTERVAL 90 DAY)
  GROUP BY account_id
 )
 SELECT 
  t.account_id,
  t.transaction_id,
  t.amount,
  t.transaction_date,
  s.avg_amount,
  (t.amount - s.avg_amount) / NULLIF(s.std_amount, 0) as z_score
 FROM transactions t
 INNER JOIN account_stats s ON t.account_id = s.account_id
 WHERE ABS((t.amount - s.avg_amount) / NULLIF(s.std_amount, 0)) > 3
  AND t.transaction_date >= DATE_SUB(CURDATE(), INTERVAL 7 DAY)
 ORDER BY z_score DESC;

Loan Portfolio Analysis

Input: "Show loan portfolio by risk category and status"

SELECT 
  risk_category,
  status,
  COUNT(*) as loan_count,
  SUM(principal_amount) as total_principal,
  SUM(outstanding_balance) as total_outstanding,
  ROUND(AVG(interest_rate), 2) as avg_rate,
  SUM(CASE WHEN days_past_due > 30 THEN outstanding_balance ELSE 0 END) as past_due_30
 FROM loans
 GROUP BY risk_category, status
 ORDER BY risk_category, status;

Regulatory Reporting Queries

Anti-Money Laundering (AML)

Generate queries for suspicious activity detection and reporting.

Know Your Customer (KYC)

Customer verification and documentation tracking queries.

Basel Compliance

Risk-weighted asset calculations and capital adequacy queries.

Financial Calculations

  • Interest accrual calculations

  • Amortization schedules

  • Net present value

  • Internal rate of return

  • Duration and convexity

Start Building Financial Queries

Precise financial analytics at your fingertips. Describe your reporting needs and get accurate, audit-ready SQL.

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