I have a table named "Historical_Stock_Prices" in a MS Access database. This table has the columns: Ticker, Date1, Open1, High, Low, Close1, Volume, Adj_Close. The rows consist of the data for each ticker for every business day.
I need to run a query from inside my VB.net program that will return a table in my program that displays the growth rates for each quarter of every year for each ticker symbol listed. So for this example I would need to find the growth rate for GOOG in the 4th quarter of 2012.
To calculate this manually I would need to take the Close Price on the last BUSINESS day of the 4th quarter (12/31/2012) divided by the Open Price of the first BUSINESS day of the 4th quarter (10/1/2012). Then I need to subtract by 1 and multiply by 100 in order to get a percentage.
The actual calculation would look like this: ((707.38/759.05)-1)*100 = -6.807%
The first and last days of each quarter may vary due to weekend days.
I cannot come up with the correct syntax for the SQL statement to create a table of Growth Rates from a table of raw Historical Prices. Can anyone help me with the SQL statment?
Here's how I would approach the problem:
I'd start by creating a saved query Access named [Stock_Price_with_qtr] that calculates the year and quarter for each row:
SELECT
Historical_Stock_Prices.*,
Year([Date1]) AS Yr,
Switch(Month([Date1])<4,1,Month([Date1])<7,2,Month([Date1])<10,3,True,4) AS Qtr
FROM Historical_Stock_Prices
Then I'd create another saved query in Access named [Qtr_Dates] that finds the first and last business days for each ticker and quarter:
SELECT
Stock_Price_with_qtr.Ticker,
Stock_Price_with_qtr.Yr,
Stock_Price_with_qtr.Qtr,
Min(Stock_Price_with_qtr.Date1) AS Qtr_Start,
Max(Stock_Price_with_qtr.Date1) AS Qtr_End
FROM Stock_Price_with_qtr
GROUP BY
Stock_Price_with_qtr.Ticker,
Stock_Price_with_qtr.Yr,
Stock_Price_with_qtr.Qtr
That would allow me to use the following query in VB.NET (or C#, or Access itself) to calculate the quarterly growth rates:
SELECT
Qtr_Dates.Ticker,
Qtr_Dates.Yr,
Qtr_Dates.Qtr,
(([Close_Prices]![Close1]/[Open_Prices]![Open1])-1)*100 AS Qtr_Growth
FROM
(
Historical_Stock_Prices AS Open_Prices
INNER JOIN Qtr_Dates
ON (Open_Prices.Ticker = Qtr_Dates.Ticker)
AND (Open_Prices.Date1 = Qtr_Dates.Qtr_Start)
)
INNER JOIN
Historical_Stock_Prices AS Close_Prices
ON (Qtr_Dates.Ticker = Close_Prices.Ticker)
AND (Qtr_Dates.Qtr_End = Close_Prices.Date1)
Related
I am needing to Calculate the start/end Balances by day for each Site/Department.
I have a source table call it “Source” that has the following fields:
Site
Department
Date
Full_Income
Income_To_Allocate
Payments_To_Allocate
There are 4 Sites (SiteA/SiteB/SiteC/SiteD), Sites B-D have only 1 department and Site A has 10 departments.
This table is “mostly” a daily summary. I say “mostly” as the daily detail from 2018 was lost and instead we just have the monthly summary inputted as one entry on the last day of the month. For 2018 there is only data going back to September. From 1/1/2019 the summary is actually daily.
Any Income in the Full_Income field will be given to that Site/Department at 100% value.
Any Income in the Income_To_Allocate field will be spread among all the Site/Departments using the below logic:
(
(Prior_Month_Site_Department_ Balance+ This_Month_Site_Department_Full_Income)
/
(Prior_Month_All_Department_Balance + This_Month_All_Department_Full_Income)
)
*
(This_Month_All_Department_Income_to_Allocate)
Any Payments in the Payments_to Allocate) field will be spread among all the Site/Departments using the below logic:
(
(Prior_Month_Site_Department_ Balance+ This_Month_Site_Department_Full_Income)
/
(Prior_Month_All_Department_Balance + This_Month_All_Department_Full_Income)
)
*
(This_Month_All_Department_Payments_to_Allocate)
The idea behind these pieces of logic is to spread the allocated pieces based on the % of business each Site/Department did when looking at the Full_Income data.
The Balance would be calculated with this logic:
Start Balance:
Prior day Ending Balance
Ending Balance:
Prior day Ending Balance + (Site_Department_Full_Income) + (Site_Department_Allocated_Income)- (SiteDepartment_Allocated_Income)
I have tried to do things using the lag function to grab the prior info that I am needing for these calculations. I always get real close but I always wind up stuck on the fact the Ending Balance is calculated using the post spread values for the allocated income and reseeds while the calculation for the spread is using the prior month balance info. This ends up being almost circular logic but with a finite start point. I am at a loss for how to make this work.
I am using SQL Server 2012. Let me know if you need any more details.
I'm creating a cube whose stock values should only conclude the last day each month's balance and value.
Hence, I've created the following Query in SSMS:
Create table #theStockTable(
Stock int,
StockValue INT,
DateKey int
)
INSERT INTO #theStockTable
VALUES(3,5, 20170211),
(3,5,20170228),
(1,4,20170331),
(1,4,20170330)
SELECT CAST(CONVERT(varchar, DateKey, 112) AS numeric(8, 0)) AS DateKey, SUM(Stock) AS [CL Stock], SUM(StockValue) AS [CL Stock Value]
FROM #theStockTable
WHERE CONVERT(date, CONVERT(varchar(10), DateKey)) = eomonth(CONVERT(date, CONVERT(varchar(10), DateKey)))
GROUP BY DateKey
In SSMS this returns the correct values:
DateKey CL Stock CL Stock Value
20170228 3 5
20170331 1 4
However, when I create an OLAP cube using SSAS, and use the Query above as the Named Query for my fact table #theStockTable and the same Query as my only partition of the same fact table and deploy and execute the cube, I have a situation where I get different values on each day of every month, but I only want to have the values for each month's last day.
I have used New Project.. -> Import from Server (multidimensional model or data mining model) in SSAS. It is important that the users must be able to browse the cube as they presently do.
The cube whose meta data I have copied contains every day's values on the stock table. May there be some metadata change I need to make in addition to the Query modification I have done in Edit named Query.. in Data Source View and replacing the old Query in the partition with my new Query?
Hopefully someone can shed some light into this.
EDIT
To clarify my request, some users of the cube has explained that it is rather slow to browse in for instance Excel, mainly because my Stock measure is much bigger than it is required to be. As it is now, it returns every StockValue and Stock of each product and each day. I want to only include the total balance of StockValue and Stock of the last day of the month. All other stock values are redundant.
For instance, browsing my DimDate dimension table with the measurements Stock and StockValue should have this return set:
DateKey Stock StockValue
20170131 0 0
rather than the whole return set which is returned now:
DateKey Stock StockValue
20170101 3 5
20170102 4 6
20170103 1 1
20170131 0 0
I think you already had a date dimension in your cube, if yes, then follow these steps:
Add an additional attribute [IsLastDay] with value 0/1 in the date dimension to indicate if the current date record is the last day of that month or not.
2.Add a calculate measure [CalStock] with this formular:
([Measures].[StockValue],[Date].[IsLastDay].&[1])
3.Fire this query to return the expected result:
select {[CalStock]} on 0,
non empty{[Date].[Date].[Date]} on 1
from [YourCube]
I am looking for a solution to convert the individual monthly averages to monthly averages from the beginning of the year. In other words from January to said month.
I used the cross tab wizard to group the rating of an employee into months in the column header. Employees are in the row header. The values of the ratings is then averaged.
My issue is this just shows the average rating of an employee for each month. I need a solution that would show me the average of each month if it included all results from the begging of the year (i.e. February would include January's and February's ratings).
TRANSFORM Avg(CSS_Table.[Emp_Rating]) AS AvgOfEmp_Rating
SELECT CSS_Table.[Emp]
FROM Rating_Table
GROUP BY Rating_Table.[Emp]
PIVOT Format([Survey_Date],"mmm") In ("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec");
One possible strategy to attack this
Create one query for each month that calculates the monthly YTD Average.
Create a Union query that joins them all together (i.e. make sure to use the same column names for each query).
Feed the union query into the Pivot.
I'm quite new to access and I am currently in the process of making a database for my company.
I have a 'Jobs' table with these fields in:
Job No.
Year Initiated
Month Initiated
Company ID
Job Description
Amount Quoted
Amount to Invoice
Invoice Number
Completed By
Cost
Profit
What I want to know Is what is the best way/ how do I calculate either in a form or query the overall profit for each month?
Please help, the database is really coming along, apart from this is well entruely stuck on.
You want to find all rows matching a specific year / month, and add together all the profit entries for that month to get a total?
If so, try this :
select sum(profit) from Jobs where year = 2013 and month = 02
Or, if you want to retrieve this information for all months in one go, try this :
select year, month, sum(profit) from Jobs group by year, month
I have two tables, one is income which consists of ID, income_amount and date
the other is expenses which is ID, amount_spent and date.
I'm trying to display a table with three columns the daily total of income, the daily total of amount and the date for that day, it is possible for that day to have no income or amount but not necessarily both.
I was able to display the table in visual c# by gathering them in individual tables and deriving the results programmatically but is there a way to achieve that table with just a single sql query?
trunc_to_day here is an hypothetical function which truncates a date to its day (you didn't specify what RDMBS you are using):
select sum(incomes), sun(spent), day from (
(select income_amount incomes, 0 spent, trunc_to_day(datecol) day from income_table)
union all
(select 0 incomes, amount_spent spent, trunc_to_day(datecol) day from spent_table)
) group by day;
Finally, if you want to limit to some days, use a where statement on it.