diff --git a/data/instruct_advanced_bigquery.csv b/data/instruct_advanced_bigquery.csv
index d5a1170..0378b68 100644
--- a/data/instruct_advanced_bigquery.csv
+++ b/data/instruct_advanced_bigquery.csv
@@ -3,7 +3,7 @@ broker,bigquery,instructions_cte_join,"WITH cust_tx AS (SELECT c.sbCustId, c.sbC
 TAC = Total Active Customers who have recently joined
 MoMC = Month-over-month change in average closing price for each ticker.
 ACP = Average Closing Price of tickers over a recent period"
-broker,bigquery,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM broker.sbTransaction AS tx JOIN broker.sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= CURRENT_DATE - INTERVAL '10' DAY GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC NULLS FIRST LIMIT 5;",What are the 5 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
+broker,bigquery,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM broker.sbTransaction AS tx JOIN broker.sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= CURRENT_DATE - INTERVAL '10' DAY GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC NULLS FIRST LIMIT 2;",What are the 2 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
 broker,bigquery,instructions_cte_join,"WITH cust_tx_stats AS (SELECT c.sbCustId, c.sbCustName, COUNT(t.sbTxId) AS total_tx, SUM(CASE WHEN t.sbTxStatus = 'success' THEN 1 ELSE 0 END) AS success_tx FROM broker.sbCustomer AS c JOIN broker.sbTransaction AS t ON c.sbCustId = t.sbTxCustId GROUP BY c.sbCustId, c.sbCustName) SELECT sbCustName, CAST(success_tx AS FLOAT64) / total_tx AS success_rate FROM cust_tx_stats WHERE total_tx >= 5 ORDER BY success_rate NULLS LAST;","For customers with at least 5 total transactions, what is their transaction success rate? Return the customer name and success rate, ordered from lowest to highest success rate.","To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions.","CR = customer rank by total transaction amount, with different rankings based on transaction amounts MoMC = month-over-month change in average closing price based on previous month's averages for each ticker each month To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions. Always join transactions with customers before using the transactions table. TAC = Total Active Customers who joined after a certain date"
 broker,bigquery,instructions_cte_join,"WITH stock_stats AS (SELECT t.sbTickerSymbol, MIN(d.sbDpLow) AS min_price, MAX(d.sbDpHigh) AS max_price FROM broker.sbDailyPrice AS d JOIN broker.sbTicker AS t ON d.sbDpTickerId = t.sbTickerId WHERE d.sbDpDate BETWEEN '2023-04-01' AND '2023-04-04' GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, max_price - min_price AS price_change FROM stock_stats ORDER BY price_change DESC NULLS FIRST LIMIT 3;","Which 3 distinct stocks had the highest price change between the low and high from April 1 2023 to April 4 2023? I want the different in the low and high throughout this timerange, not just the intraday price changes. Return the ticker symbol and price change.","To analyze stock performance, join the daily price and ticker tables, filter for a specific date range, and calculate price change.","PMCS = per month customer signups
 TAC = Total Active Customers who joined after a certain date
diff --git a/data/instruct_advanced_mysql.csv b/data/instruct_advanced_mysql.csv
index 3be3e39..6ac9cb1 100644
--- a/data/instruct_advanced_mysql.csv
+++ b/data/instruct_advanced_mysql.csv
@@ -3,7 +3,7 @@ broker,mysql,instructions_cte_join,"WITH cust_tx AS (SELECT c.sbCustId, c.sbCust
 TAC = Total Active Customers who have recently joined
 MoMC = Month-over-month change in average closing price for each ticker.
 ACP = Average Closing Price of tickers over a recent period"
-broker,mysql,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM broker.sbTransaction AS tx JOIN broker.sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= CURRENT_DATE - INTERVAL 10 DAY GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC LIMIT 5;",What are the 5 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
+broker,mysql,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM broker.sbTransaction AS tx JOIN broker.sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= CURRENT_DATE - INTERVAL 10 DAY GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC LIMIT 2;",What are the 2 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
 broker,mysql,instructions_cte_join,"WITH cust_tx_stats AS (SELECT c.sbCustId, c.sbCustName, COUNT(t.sbTxId) AS total_tx, SUM(CASE WHEN t.sbTxStatus = 'success' THEN 1 ELSE 0 END) AS success_tx FROM sbCustomer AS c JOIN sbTransaction AS t ON c.sbCustId = t.sbTxCustId GROUP BY c.sbCustId, c.sbCustName) SELECT sbCustName, CAST(success_tx AS FLOAT) / total_tx AS success_rate FROM cust_tx_stats WHERE total_tx >= 5 ORDER BY CASE WHEN success_rate IS NULL THEN 1 ELSE 0 END, success_rate;","For customers with at least 5 total transactions, what is their transaction success rate? Return the customer name and success rate, ordered from lowest to highest success rate.","To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions.","CR = customer rank by total transaction amount, with different rankings based on transaction amounts MoMC = month-over-month change in average closing price based on previous month's averages for each ticker each month To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions. Always join transactions with customers before using the transactions table. TAC = Total Active Customers who joined after a certain date"
 broker,mysql,instructions_cte_join,"WITH stock_stats AS (SELECT t.sbTickerSymbol, MIN(d.sbDpLow) AS min_price, MAX(d.sbDpHigh) AS max_price FROM sbDailyPrice AS d JOIN sbTicker AS t ON d.sbDpTickerId = t.sbTickerId WHERE d.sbDpDate BETWEEN '2023-04-01' AND '2023-04-04' GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, max_price - min_price AS price_change FROM stock_stats ORDER BY CASE WHEN price_change IS NULL THEN 1 ELSE 0 END DESC, price_change DESC LIMIT 3;","Which 3 distinct stocks had the highest price change between the low and high from April 1 2023 to April 4 2023? I want the different in the low and high throughout this timerange, not just the intraday price changes. Return the ticker symbol and price change.","To analyze stock performance, join the daily price and ticker tables, filter for a specific date range, and calculate price change.","PMCS = per month customer signups
 TAC = Total Active Customers who joined after a certain date
diff --git a/data/instruct_advanced_postgres.csv b/data/instruct_advanced_postgres.csv
index 1104d81..8f6e2be 100644
--- a/data/instruct_advanced_postgres.csv
+++ b/data/instruct_advanced_postgres.csv
@@ -3,7 +3,7 @@ broker,instructions_cte_join,Who are the top 5 customers by total transaction am
 TAC = Total Active Customers who have recently joined
 MoMC = Month-over-month change in average closing price for each ticker.
 ACP = Average Closing Price of tickers over a recent period"
-broker,instructions_cte_join,What are the 5 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM sbTransaction tx JOIN sbTicker t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= CURRENT_DATE - INTERVAL '10 days' GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC LIMIT 5","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
+broker,instructions_cte_join,What are the 2 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM sbTransaction tx JOIN sbTicker t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= CURRENT_DATE - INTERVAL '10 days' GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC LIMIT 2","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
 broker,instructions_cte_join,"For customers with at least 5 total transactions, what is their transaction success rate? Return the customer name and success rate, ordered from lowest to highest success rate.","To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions.","WITH cust_tx_stats AS (SELECT c.sbCustId, c.sbCustName, COUNT(t.sbTxId) AS total_tx, SUM(CASE WHEN t.sbTxStatus = 'success' THEN 1 ELSE 0 END) AS success_tx FROM sbCustomer c JOIN sbTransaction t ON c.sbCustId = t.sbTxCustId GROUP BY c.sbCustId, c.sbCustName) SELECT sbCustName, success_tx::float/total_tx AS success_rate FROM cust_tx_stats WHERE total_tx >= 5 ORDER BY success_rate","CR = customer rank by total transaction amount, with different rankings based on transaction amounts MoMC = month-over-month change in average closing price based on previous month's averages for each ticker each month To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions. Always join transactions with customers before using the transactions table. TAC = Total Active Customers who joined after a certain date"
 broker,instructions_cte_join,"Which 3 distinct stocks had the highest price change between the low and high from April 1 2023 to April 4 2023? I want the different in the low and high throughout this timerange, not just the intraday price changes". Return the ticker symbol and price change.,"To analyze stock performance, join the daily price and ticker tables, filter for a specific date range, and calculate price change.","WITH stock_stats AS (SELECT t.sbTickerSymbol, MIN(d.sbDpLow) AS min_price, MAX(d.sbDpHigh) AS max_price FROM sbDailyPrice d JOIN sbTicker t ON d.sbDpTickerId = t.sbTickerId WHERE d.sbDpDate BETWEEN '2023-04-01' AND '2023-04-04' GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, max_price - min_price AS price_change FROM stock_stats ORDER BY price_change DESC LIMIT 3","PMCS = per month customer signups
 TAC = Total Active Customers who joined after a certain date
diff --git a/data/instruct_advanced_sqlite.csv b/data/instruct_advanced_sqlite.csv
index 50e7ae1..8da49e6 100644
--- a/data/instruct_advanced_sqlite.csv
+++ b/data/instruct_advanced_sqlite.csv
@@ -3,7 +3,7 @@ broker,sqlite,instructions_cte_join,"WITH cust_tx AS (SELECT c.sbCustId, c.sbCus
 TAC = Total Active Customers who have recently joined
 MoMC = Month-over-month change in average closing price for each ticker.
 ACP = Average Closing Price of tickers over a recent period"
-broker,sqlite,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM sbTransaction AS tx JOIN sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= DATE('now', '-10 days') GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC LIMIT 5;",What are the 5 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
+broker,sqlite,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol, COUNT(*) AS tx_count FROM sbTransaction AS tx JOIN sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= DATE('now', '-10 days') GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC LIMIT 2;",What are the 2 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
 broker,sqlite,instructions_cte_join,"WITH cust_tx_stats AS (SELECT c.sbCustId, c.sbCustName, COUNT(t.sbTxId) AS total_tx, SUM(CASE WHEN t.sbTxStatus = 'success' THEN 1 ELSE 0 END) AS success_tx FROM sbCustomer AS c JOIN sbTransaction AS t ON c.sbCustId = t.sbTxCustId GROUP BY c.sbCustId, c.sbCustName) SELECT sbCustName, CAST(success_tx AS FLOAT) / total_tx AS success_rate FROM cust_tx_stats WHERE total_tx >= 5 ORDER BY CASE WHEN success_rate IS NULL THEN 1 ELSE 0 END, success_rate;","For customers with at least 5 total transactions, what is their transaction success rate? Return the customer name and success rate, ordered from lowest to highest success rate.","To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions.","CR = customer rank by total transaction amount, with different rankings based on transaction amounts MoMC = month-over-month change in average closing price based on previous month's averages for each ticker each month To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions. Always join transactions with customers before using the transactions table. TAC = Total Active Customers who joined after a certain date"
 broker,sqlite,instructions_cte_join,"WITH stock_stats AS (SELECT t.sbTickerSymbol, MIN(d.sbDpLow) AS min_price, MAX(d.sbDpHigh) AS max_price FROM sbDailyPrice AS d JOIN sbTicker AS t ON d.sbDpTickerId = t.sbTickerId WHERE d.sbDpDate BETWEEN '2023-04-01' AND '2023-04-04' GROUP BY t.sbTickerSymbol) SELECT sbTickerSymbol, max_price - min_price AS price_change FROM stock_stats ORDER BY CASE WHEN price_change IS NULL THEN 1 ELSE 0 END DESC, price_change DESC LIMIT 3;","Which 3 distinct stocks had the highest price change between the low and high from April 1 2023 to April 4 2023? I want the different in the low and high throughout this timerange, not just the intraday price changes. Return the ticker symbol and price change.","To analyze stock performance, join the daily price and ticker tables, filter for a specific date range, and calculate price change.","PMCS = per month customer signups
 TAC = Total Active Customers who joined after a certain date
diff --git a/data/instruct_advanced_tsql.csv b/data/instruct_advanced_tsql.csv
index 9eff0cd..e18e94f 100644
--- a/data/instruct_advanced_tsql.csv
+++ b/data/instruct_advanced_tsql.csv
@@ -3,7 +3,7 @@ broker,tsql,instructions_cte_join,"WITH cust_tx AS (SELECT c.sbCustId AS sbCustI
 TAC = Total Active Customers who have recently joined
 MoMC = Month-over-month change in average closing price for each ticker.
 ACP = Average Closing Price of tickers over a recent period"
-broker,tsql,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol AS sbTickerSymbol, COUNT(*) AS tx_count FROM sbTransaction AS tx JOIN sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= DATEADD(DAY, -10, GETDATE()) GROUP BY t.sbTickerSymbol) SELECT TOP 5 sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC;",What are the 5 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
+broker,tsql,instructions_cte_join,"WITH popular_stocks AS (SELECT t.sbTickerSymbol AS sbTickerSymbol, COUNT(*) AS tx_count FROM sbTransaction AS tx JOIN sbTicker AS t ON tx.sbTxTickerId = t.sbTickerId WHERE tx.sbTxType = 'buy' AND tx.sbTxDateTime >= DATEADD(DAY, -10, GETDATE()) GROUP BY t.sbTickerSymbol) SELECT TOP 2 sbTickerSymbol, tx_count FROM popular_stocks ORDER BY tx_count DESC;",What are the 2 most frequently bought stock ticker symbols in the past 10 days? Return the ticker symbol and number of buy transactions.,"To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions.","MoMC = month-over-month change in average closing price Weekend days refer to Saturday and Sunday; adjust dates to weeks for aggregation. To find the most popular stocks in the past 10 days, join the transaction and ticker tables, filter for buy transactions in the last 10 days, group by ticker and count transactions. CR = customer rank by total transaction volume, where rank 1 belongs to the customer with the highest volume"
 broker,tsql,instructions_cte_join,"WITH cust_tx_stats AS (SELECT c.sbCustId AS sbCustId, c.sbCustName AS sbCustName, COUNT(t.sbTxId) AS total_tx, SUM(CASE WHEN t.sbTxStatus = 'success' THEN 1 ELSE 0 END) AS success_tx FROM sbCustomer AS c JOIN sbTransaction AS t ON c.sbCustId = t.sbTxCustId GROUP BY c.sbCustId, c.sbCustName) SELECT sbCustName, CAST(success_tx AS FLOAT) / total_tx AS success_rate FROM cust_tx_stats WHERE total_tx >= 5 ORDER BY CAST(success_tx AS FLOAT) / total_tx;","For customers with at least 5 total transactions, what is their transaction success rate? Return the customer name and success rate, ordered from lowest to highest success rate.","To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions.","CR = customer rank by total transaction amount, with different rankings based on transaction amounts MoMC = month-over-month change in average closing price based on previous month's averages for each ticker each month To get the success rate of transactions per customer, join customer and transaction tables, group by customer, and calculate the percentage of successful transactions. Always join transactions with customers before using the transactions table. TAC = Total Active Customers who joined after a certain date"
 broker,tsql,instructions_cte_join,"WITH stock_stats AS (SELECT t.sbTickerSymbol AS sbTickerSymbol, MIN(d.sbDpLow) AS min_price, MAX(d.sbDpHigh) AS max_price FROM sbDailyPrice AS d JOIN sbTicker AS t ON d.sbDpTickerId = t.sbTickerId WHERE d.sbDpDate BETWEEN '2023-04-01' AND '2023-04-04' GROUP BY t.sbTickerSymbol) SELECT TOP 3 sbTickerSymbol, max_price - min_price AS price_change FROM stock_stats ORDER BY CASE WHEN max_price - min_price IS NULL THEN 1 ELSE 0 END DESC, max_price - min_price DESC;","Which 3 distinct stocks had the highest price change between the low and high from April 1 2023 to April 4 2023? I want the different in the low and high throughout this timerange, not just the intraday price changes. Return the ticker symbol and price change.","To analyze stock performance, join the daily price and ticker tables, filter for a specific date range, and calculate price change.","PMCS = per month customer signups
 TAC = Total Active Customers who joined after a certain date