What are the top 10 SQL queries for analyzing cryptocurrency trading data?
StossMay 14, 2021 · 4 years ago3 answers
I am looking for the top 10 SQL queries that can be used to analyze cryptocurrency trading data. Can you provide a list of these queries along with a brief explanation of what each query does?
3 answers
- RISE HIGHERSep 02, 2020 · 5 years agoSure! Here are the top 10 SQL queries for analyzing cryptocurrency trading data: 1. SELECT * FROM trades WHERE symbol = 'BTC/USD' - This query retrieves all trades for the BTC/USD trading pair. 2. SELECT AVG(price) FROM trades WHERE symbol = 'ETH/BTC' - This query calculates the average price of trades for the ETH/BTC trading pair. 3. SELECT COUNT(*) FROM trades WHERE symbol LIKE '%/BTC' - This query counts the number of trades for all trading pairs that involve BTC. 4. SELECT MAX(volume) FROM trades WHERE symbol LIKE '%/USD' - This query finds the trading pair with the highest trading volume in USD. 5. SELECT MIN(price) FROM trades WHERE symbol LIKE 'LTC/%' - This query finds the lowest price for all trading pairs that involve LTC. 6. SELECT SUM(quantity) FROM trades WHERE symbol LIKE '%/ETH' - This query calculates the total quantity of all trades that involve ETH. 7. SELECT DISTINCT symbol FROM trades WHERE timestamp >= '2022-01-01' - This query retrieves all unique trading pairs that have trades after January 1, 2022. 8. SELECT AVG(price) FROM trades WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' - This query calculates the average price of trades within a specific time range. 9. SELECT COUNT(DISTINCT symbol) FROM trades WHERE timestamp >= '2022-01-01' - This query counts the number of unique trading pairs that have trades after January 1, 2022. 10. SELECT SUM(quantity) FROM trades WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' AND symbol LIKE '%/USD' - This query calculates the total quantity of trades in USD within a specific time range. These queries can help you analyze various aspects of cryptocurrency trading data, such as price trends, trading volumes, and the number of trades for different trading pairs. Happy analyzing!
- BerychcNov 11, 2021 · 4 years agoNo problem! Here are the top 10 SQL queries you can use to analyze cryptocurrency trading data: 1. SELECT * FROM trades WHERE symbol = 'BTC/USD' 2. SELECT AVG(price) FROM trades WHERE symbol = 'ETH/BTC' 3. SELECT COUNT(*) FROM trades WHERE symbol LIKE '%/BTC' 4. SELECT MAX(volume) FROM trades WHERE symbol LIKE '%/USD' 5. SELECT MIN(price) FROM trades WHERE symbol LIKE 'LTC/%' 6. SELECT SUM(quantity) FROM trades WHERE symbol LIKE '%/ETH' 7. SELECT DISTINCT symbol FROM trades WHERE timestamp >= '2022-01-01' 8. SELECT AVG(price) FROM trades WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' 9. SELECT COUNT(DISTINCT symbol) FROM trades WHERE timestamp >= '2022-01-01' 10. SELECT SUM(quantity) FROM trades WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' AND symbol LIKE '%/USD' These queries cover a range of analysis needs, from retrieving specific trades to calculating averages and counts. Use them to gain insights into cryptocurrency trading data!
- Anandrao PatilMay 23, 2023 · 2 years agoSure thing! Here are the top 10 SQL queries you can use to analyze cryptocurrency trading data: 1. SELECT * FROM trades WHERE symbol = 'BTC/USD' 2. SELECT AVG(price) FROM trades WHERE symbol = 'ETH/BTC' 3. SELECT COUNT(*) FROM trades WHERE symbol LIKE '%/BTC' 4. SELECT MAX(volume) FROM trades WHERE symbol LIKE '%/USD' 5. SELECT MIN(price) FROM trades WHERE symbol LIKE 'LTC/%' 6. SELECT SUM(quantity) FROM trades WHERE symbol LIKE '%/ETH' 7. SELECT DISTINCT symbol FROM trades WHERE timestamp >= '2022-01-01' 8. SELECT AVG(price) FROM trades WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' 9. SELECT COUNT(DISTINCT symbol) FROM trades WHERE timestamp >= '2022-01-01' 10. SELECT SUM(quantity) FROM trades WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' AND symbol LIKE '%/USD' These queries cover a wide range of analysis scenarios, allowing you to extract valuable insights from cryptocurrency trading data. Enjoy analyzing!
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