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.