Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
I have this simple data model w/ two fact tables that pertain to purchases and sales of shares of stock:
I need to calculate a running balance by taking a running sum of shares purchased by ticker and SUBTRACT by the running sum of shares sold by ticker.
I tried this:
Shares balance 1 =
VAR Date_Ref = MAX( dDates[Date] )
VAR Tick_Ref = VALUES( dAssets[Ticker] )
VAR Cumm_Purch =
CALCULATE(
SUMX(
fPurch,
fPurch[Shares]
),
fPurch[Ticker] = Tick_Ref,
fPurch[Date] <= Date_Ref
)
VAR Cumm_Sold =
CALCULATE(
SUMX(
fSales,
fSales[Shares]
),
fSales[Ticker] = Tick_Ref,
fSales[Date] <= Date_Ref
)
VAR Result = Cumm_Purch - Cumm_Sold
RETURN
Result
And I also tried this:
Shares balance 2 =
VAR Date_Ref_Purch = MAX( fPurch[Date] )
VAR Tick_Ref_Purch = VALUES( fPurch[Ticker] )
VAR Cumm_Purch =
CALCULATE(
SUMX(
fPurch,
fPurch[Shares]
),
fPurch[Ticker] = Tick_Ref_Purch,
fPurch[Date] <= Date_Ref_Purch
)
VAR Date_Ref_Sold = MAX( fSales[Date] )
VAR Tick_Ref_Sold = VALUES( fSales[Ticker] )
VAR Cumm_Sold =
CALCULATE(
SUMX(
fSales,
fSales[Shares]
),
fSales[Ticker] = Tick_Ref_Sold,
fSales[Date] <= Date_Ref_Sold
)
VAR Result = Cumm_Purch - Cumm_Sold
RETURN
Result
And both produce the same WRONG results, as shown on the sample table that follows...
For this visual the 'Ticker' column comes from the dimension table dAssets and the 'Date' column comes from the date table.
And the red column I manually added to show the numbers I was supposed to compute:
Ticker | Date | Shares purchased | Shares sold | Shares balance 1 | Shares balance 2 | Correct result |
ABEV | 3/1/2021 | 77 | 77 | 77 | 77 | |
ABEV | 5/4/2021 | 73 | 73 | 73 | 150 | |
ABEV | 6/4/2021 | 150 | -150 | -150 | 0 | |
ABEV | 6/28/2021 | 62 | 62 | 62 | 62 | |
ABEV | 10/29/2021 | 62 | -62 | -62 | 0 | |
ALSO3 | 1/7/2021 | 39 | 39 | 39 | 39 | |
ALSO3 | 2/3/2021 | 39 | -39 | -39 | 0 | |
ALSO3 | 3/1/2021 | 45 | 45 | 45 | 45 | |
ALSO3 | 5/11/2021 | 45 | -45 | -45 | 0 | |
ALSO3 | 6/29/2021 | 36 | 36 | 36 | 36 | |
ALSO3 | 1/7/2022 | 56 | 56 | 56 | 92 | |
ALSO3 | 3/30/2022 | 92 | -92 | -92 | 0 |
I suppose something on either code is messing up the results, what could that be?
Solved! Go to Solution.
Hi @leolapa_br ,
You can try this (you were close):
Shares balance =
VAR Date_Ref = MAX('Date'[Date])
VAR Tick_Ref = MAX(dAssets[Ticker])
VAR Cumm_Purch =
CALCULATE(
SUM(fPurch[Sharespurchased]),
dAssets[Ticker] = Tick_Ref,
'Date'[Date] <= Date_Ref
)
VAR Cumm_Sold =
CALCULATE(
SUM(fSales[Sharessold]),
dAssets[Ticker] = Tick_Ref,
'Date'[Date] <= Date_Ref
)
VAR Result = IF([Shares purchased] <> BLANK() || [Shares sold] <> BLANK(), Cumm_Purch - Cumm_Sold)
RETURN
Result
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your Kudos.
Check out my latest demo report in the data story gallery.
Stand with Ukraine!
Here are official ways you can support Ukraine financially (accounts with multiple currencies):
1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
2) Come Back Alive foundation: https://www.comebackalive.in.ua/
Thank you!
Hi @leolapa_br ,
You can try this (you were close):
Shares balance =
VAR Date_Ref = MAX('Date'[Date])
VAR Tick_Ref = MAX(dAssets[Ticker])
VAR Cumm_Purch =
CALCULATE(
SUM(fPurch[Sharespurchased]),
dAssets[Ticker] = Tick_Ref,
'Date'[Date] <= Date_Ref
)
VAR Cumm_Sold =
CALCULATE(
SUM(fSales[Sharessold]),
dAssets[Ticker] = Tick_Ref,
'Date'[Date] <= Date_Ref
)
VAR Result = IF([Shares purchased] <> BLANK() || [Shares sold] <> BLANK(), Cumm_Purch - Cumm_Sold)
RETURN
Result
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your Kudos.
Check out my latest demo report in the data story gallery.
Stand with Ukraine!
Here are official ways you can support Ukraine financially (accounts with multiple currencies):
1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
2) Come Back Alive foundation: https://www.comebackalive.in.ua/
Thank you!
User | Count |
---|---|
12 | |
12 | |
8 | |
8 | |
6 |
User | Count |
---|---|
27 | |
19 | |
14 | |
11 | |
7 |