There is a research article that documented average volume profile in a day broken into about 9.5 min intervals. Looks like a bowl. I have it extracted in an excel file. The first 9 minutes account for average of 5.5% of daily volume. I am not good enough to program what's needed. But if someone can store the values in an array and then use a ratio of first 9 mins of volume in a day to get projected volume for day (projected volume = first 9min volume*(100/5.5). Can be updated every 9.5 minutes to improve forecast. Here is article:
projected volume = first 9min volume*(100/5.5)
- Thread starter jrmarkinv
- Start date
Solution
@jrmarkinv,
Thank you for sharing the research...
The article you cited, while good I'm sure (FT is great), is behind a paywall and inaccessible for those without subscription.
It's an interesting idea. Would you mind sharing your spreadsheet of values? or the rough shape and proportions of the 'bowl'... the difficulty in adapting the method universally lies in figuring a formula for the shape of that bowl rather than applying mathematical approximations (which work on one timeframe but not necessarily others). I wonder if it would work on 10 min intervals, as that would open up several more charting opportunities (as multiples of several charts can be summed to be the first 10 minutes -- 1, 2, 5, and 10 while 9 can only be managed from 1m, and 3m unless you set a custom timeframe for 9m)
I do like a good mathematical challenge
-mashume
Thank you for sharing the research...
The article you cited, while good I'm sure (FT is great), is behind a paywall and inaccessible for those without subscription.
It's an interesting idea. Would you mind sharing your spreadsheet of values? or the rough shape and proportions of the 'bowl'... the difficulty in adapting the method universally lies in figuring a formula for the shape of that bowl rather than applying mathematical approximations (which work on one timeframe but not necessarily others). I wonder if it would work on 10 min intervals, as that would open up several more charting opportunities (as multiples of several charts can be summed to be the first 10 minutes -- 1, 2, 5, and 10 while 9 can only be managed from 1m, and 3m unless you set a custom timeframe for 9m)
I do like a good mathematical challenge
-mashume
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Sure. Here it is in Pacific time.
| From | To | % | Cum% |
9:30 | 9:39 | 5.5% | 5.5% |
9:39 | 9:49 | 3.6% | 9.1% |
9:49 | 9:58 | 3.1% | 12.2% |
9:58 | 10:08 | 2.8% | 15.0% |
10:08 | 10:17 | 2.5% | 17.5% |
10:17 | 10:27 | 2.3% | 19.8% |
10:27 | 10:36 | 2.2% | 22.0% |
10:36 | 10:46 | 2.1% | 24.1% |
10:46 | 10:55 | 2.0% | 26.1% |
10:55 | 11:05 | 2.1% | 28.2% |
11:05 | 11:14 | 2.0% | 30.2% |
11:14 | 11:24 | 2.0% | 32.2% |
11:24 | 11:33 | 2.0% | 34.2% |
11:33 | 11:43 | 1.9% | 36.1% |
11:43 | 11:52 | 1.8% | 37.9% |
11:52 | 12:02 | 1.7% | 39.6% |
12:02 | 12:11 | 1.7% | 41.3% |
12:11 | 12:21 | 1.6% | 42.9% |
12:21 | 12:30 | 1.5% | 44.4% |
12:30 | 12:40 | 1.4% | 45.8% |
12:40 | 12:49 | 1.4% | 47.2% |
12:49 | 12:59 | 1.4% | 48.6% |
12:59 | 13:08 | 1.4% | 50.0% |
13:08 | 13:18 | 1.6% | 51.6% |
13:18 | 13:27 | 1.4% | 53.0% |
13:27 | 13:37 | 1.4% | 54.4% |
13:37 | 13:47 | 1.4% | 55.8% |
13:47 | 13:56 | 1.4% | 57.2% |
13:56 | 14:06 | 1.4% | 58.6% |
14:06 | 14:15 | 1.6% | 60.2% |
14:15 | 14:25 | 1.7% | 61.9% |
14:25 | 14:34 | 1.8% | 63.7% |
14:34 | 14:44 | 1.8% | 65.5% |
14:44 | 14:53 | 1.8% | 67.3% |
14:53 | 15:03 | 1.9% | 69.2% |
15:03 | 15:12 | 1.9% | 71.1% |
15:12 | 15:22 | 2.2% | 73.3% |
15:22 | 15:31 | 2.3% | 75.6% |
15:31 | 15:41 | 3.0% | 78.6% |
15:41 | 15:50 | 4.2% | 82.8% |
15:50 | 16:00 | 9.0% | 91.8% |
| Closing Auction | 8.20% | 100.0% |
There is a graph in the FT article. BTW I don't have a subscription to FT but i am able to access it. I have set my chrome to delete all cookies from all sites including FT (I only allow specific sites i subscribe to). That might prevent it from detecting free article limits reached. That may be why i am able to read the article.
Adeodatus
Member
put in to a following sequence indicator, 9 minute start & stop times, to do a concise look back at each stop time (IVrT), take the (1) percentage plus the next 1+(1), adding in some sorting variable maybe 50% to start. lot of promise to markinv idea here
i don't know if a 3rd root of each cumulative 9 min interval highlighted at the top of a chart (red - yellow - green), would be possible, or any more technical variable would be any more reliable.
To try and then to create a leading indicator isn't impossible. The simple Hull indicator modified as example, leans to indicate futures movements easily.
i don't know if a 3rd root of each cumulative 9 min interval highlighted at the top of a chart (red - yellow - green), would be possible, or any more technical variable would be any more reliable.
To try and then to create a leading indicator isn't impossible. The simple Hull indicator modified as example, leans to indicate futures movements easily.
Adeodatus
Member
Maybe a rewritten base hull indicator based off the extend POC (point of control timing. Quite some bit of writing for each time period and the square root for variation, maybe a base of 50 periods back to scan
Adeodatus
Member
#RunSearch_Nine
#Extended POCs for x Daysback
#More can be added using the logic below
#Sleepyz - usethinkscript request @yardlay
script v {
input daysback = 1;
def volp = reference VolumeProfile("time per profile" = "DAY", "on expansion" = no, "price per row height mode" = "TICKSIZE");
def ymd = GetYYYYMMDD();
def y = if ymd != ymd[1] then y[1] + 1 else y[1];
def pc = if IsNaN(close)
then pc[1] else
if y == HighestAll
- daysback
then volp else
pc[1];
input multiplier = 1;
input onExpansion = no;
input profiles = 1000;
input showPointOfControl = yes;
input showValueArea = yes;
input valueAreaPercent = 70;
def period;
def yyyymmdd = GetYYYYMMDD();
def seconds = SecondsFromTime(0);
def month = GetYear() * 12 + GetMonth();
def day_number = DaysFromDate(First(yyyymmdd)) + GetDayOfWeek(First(yyyymmdd));
def dom = GetDayOfMonth(yyyymmdd);
def dow = GetDayOfWeek(yyyymmdd - dom + 1);
#Extended POCs for x Daysback
#More can be added using the logic below
#Sleepyz - usethinkscript request @yardlay
script v {
input daysback = 1;
def volp = reference VolumeProfile("time per profile" = "DAY", "on expansion" = no, "price per row height mode" = "TICKSIZE");
def ymd = GetYYYYMMDD();
def y = if ymd != ymd[1] then y[1] + 1 else y[1];
def pc = if IsNaN(close)
then pc[1] else
if y == HighestAll
- daysbackthen volp else
pc[1];
input multiplier = 1;
input onExpansion = no;
input profiles = 1000;
input showPointOfControl = yes;
input showValueArea = yes;
input valueAreaPercent = 70;
def period;
def yyyymmdd = GetYYYYMMDD();
def seconds = SecondsFromTime(0);
def month = GetYear() * 12 + GetMonth();
def day_number = DaysFromDate(First(yyyymmdd)) + GetDayOfWeek(First(yyyymmdd));
def dom = GetDayOfMonth(yyyymmdd);
def dow = GetDayOfWeek(yyyymmdd - dom + 1);
where did those numbers come from?
are you saying that if you average the volume from many stocks, you come up with those %'s ?
here is a chart up to 16:00 , ( i didn't include the last 8.2% )
chart2 w formula
6 order polynomial
y = 3E-07x6 - 4E-05x5 + 0.0018x4 - 0.0414x3 + 0.4766x2 - 2.6204x + 7.6136
R² = 0.9388
y = 3E-07*x^6 - 4E-05*x^5 + 0.0018*x^4 - 0.0414*x^3 + 0.4766*x^2 - 2.6204*x^1 + 7.6136*x^0
Last edited:
I've gotten as far as fitting a curve to the data to give me a function (6th order polynomial fits quite nicely) that will work with minutes past 9:30 and return the expected values. From that, I can get the expected cumulative value of the volume for a day and then a little bit more math should give me a volume prediction for the day. But i've got a full plate at the moment, so it'll have to wait a bit. I did work with the cumulative percentages rather than periodic so that I can just total volume so far that day for calculation... that means it would be a repainting kind of thing... see what I can do.where did those numbers come from?
are you saying that if you average the volume from many stocks, you come up with those %'s ?
here is a chart up to 16:00 , ( i didn't include the last 8.2% )
-mashume
Adeodatus
Member
A statistiiiiiiiical variation with the ability to adjust for market cycles would be nice instead of a straight line cumulative volume value/day. It seems the predictive volume indicator would be more of a nibble & bite prompt, while pulling data from the extending variance end and into the volume indicator could indicate an unusual increase earlier as run up takes traction. If taken from a scanned set of stocks, then the predictive tendency could pick them and as volume increase over normal trades, you may see it, but as of now there is no certainty
If i remember right, it was calculated as an average for each of the 9.5 minute periods over hundreds of days (I think over 3 years). I wish i had just downloaded that research paper. Today, i can't access it online. The volume after 4pm eastern (about 9% that accounts for the 100%- total % till 4pm) is orders on close that are executed just after market close. Nice work on the polynomial. Pretty good fit. Thanks for the good work. It would be nice to create an indicator that uses your equation to flash an AddLabel saying whether volume is trending higher or lower than 30d average. I haven't coded anything using AggregationPeriod so it might take me a bit to create the script.where did those numbers come from?
are you saying that if you average the volume from many stocks, you come up with those %'s ?
here is a chart up to 16:00 , ( i didn't include the last 8.2% )
chart2 w formula
6 order polynomial
y = 3E-07x6 - 4E-05x5 + 0.0018x4 - 0.0414x3 + 0.4766x2 - 2.6204x + 7.6136
R² = 0.9388
Well, I had some time this morning and came up with this affront to sensibility:
You can set the time you wish to 'lock in' the volume prediction for the day. That's the only adjustable parameter. I think it's pretty cool, though it doesn't seem to track properly for all of the instruments I looked at. It's a bit jumpy at the start of the day, as is to be expected, but it seems to be pretty close at predicting the total volume for the day. YMMV, of course.
interesting idea, math, and a fun coding challenge whether you find use in it or not.
Happy Trading,
-mashume
For those wondering why the value for y is 10000 times what it should be, it's because I had to get coefficients for the function that were in reasonable ranges for ToS to be able to calculate nicely. It was easier to do it this way.
Code:
# FT Percent of Day Volume by Time
# As adapted by Mashume
# for the Use ThinkScript Community
# 2022-07-13
declare lower;
def minutes = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then (secondsFromTime(0930) / (60)) else double.nan;
def hours = minutes / 60;
def y =
(-0.77245125* Power(hours, 6))
+ (13.13890801* (Power(hours, 5)))
+ (-76.64813184* (Power(hours, 4)))
+ (166.14466219* (Power(hours, 3)))
+ (-16.25423826* (Power(hours, 2)))
+ (-348.62204262* hours)
+ (465.46746546)
;
def v = volume;
def sum_v = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_v[1] + v else 0;
def sum_y = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_y[1] + (y / 10000) else 0;
plot indicator = if sum_y != 0 then sum_v / sum_y[-1] else double.nan;
input lock_time = 30;
def lock = if minutes[1] < lock_time and minutes >= lock_time then 1 else 0;
addVerticalLine(lock, color = Color.gray);
def prediction = if minutes < lock_time then double.nan else if minutes[1] < lock_time and minutes >= lock_time then indicator else prediction[1];
plot volume_prediction = prediction;
volume_prediction.SetDefaultColor(color.gray);
AddLabel(yes, "Prediction at t: " + lock_time + " : " + volume_prediction, color = Color.gray);
AddLabel(yes, "Current Pace: " + asPercent(indicator / volume_prediction), color = Color.gray);You can set the time you wish to 'lock in' the volume prediction for the day. That's the only adjustable parameter. I think it's pretty cool, though it doesn't seem to track properly for all of the instruments I looked at. It's a bit jumpy at the start of the day, as is to be expected, but it seems to be pretty close at predicting the total volume for the day. YMMV, of course.
interesting idea, math, and a fun coding challenge whether you find use in it or not.
Happy Trading,
-mashume
For those wondering why the value for y is 10000 times what it should be, it's because I had to get coefficients for the function that were in reasonable ranges for ToS to be able to calculate nicely. It was easier to do it this way.
Last edited:
Nice work. I think this is great. Can we also have option to do ratio of volume projection for stock vs volume projection for NYSE exchange (or SPY). Where i think this would be real useful for me would be to quickly identify which stocks or etfs in my watchlists (as a column) that have stochastic crossing above 20 (or crossing down below 80) during the morning and identify the ones where volume ratio is highest. I won't need to actually plot a chart but the call to plot is required (i believe) in order to assign a custom function to use as a column in watchlist to track such volume projection ratio. Just doing AddLabel statement and displaying the ratio as a value doesn't work from what i remember.Well, I had some time this morning and came up with this affront to sensibility:
Code:# FT Percent of Day Volume by Time # As adapted by Mashume # for the Use ThinkScript Community # 2022-07-13 declare lower; def minutes = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then (secondsFromTime(0930) / (60)) else double.nan; def hours = minutes / 60; def y = (-0.77245125* Power(hours, 6)) + (13.13890801* (Power(hours, 5))) + (-76.64813184* (Power(hours, 4))) + (166.14466219* (Power(hours, 3))) + (-16.25423826* (Power(hours, 2))) + (-348.62204262* hours) + (465.46746546) ; def v = volume; def sum_v = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_v[1] + v else 0; def sum_y = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_y[1] + (y / 10000) else 0; plot indicator = if sum_y != 0 then sum_v / sum_y[-1] else double.nan; input lock_time = 30; def lock = if minutes[1] < lock_time and minutes >= lock_time then 1 else 0; addVerticalLine(lock, color = Color.gray); def prediction = if minutes < lock_time then double.nan else if minutes[1] < lock_time and minutes >= lock_time then indicator else prediction[1]; plot volume_prediction = prediction; volume_prediction.SetDefaultColor(color.gray); AddLabel(yes, "Prediction at t: " + lock_time + " : " + volume_prediction, color = Color.gray); AddLabel(yes, "Current Pace: " + asPercent(indicator / volume_prediction), color = Color.gray);
You can set the time you wish to 'lock in' the volume prediction for the day. That's the only adjustable parameter. I think it's pretty cool, though it doesn't seem to track properly for all of the instruments I looked at. It's a bit jumpy at the start of the day, as is to be expected, but it seems to be pretty close at predicting the total volume for the day. YMMV, of course.
interesting idea, math, and a fun coding challenge whether you find use in it or not.
Happy Trading,
-mashume
For those wondering why the value for y is 10000 times what it should be, it's because I had to get coefficients for the function that were in reasonable ranges for ToS to be able to calculate nicely. It was easier to do it this way.
Adeodatus
Member
Mashume programmer expert extraordanaire has struck the first cut. Well done!
I still believe some type of inclusion of the actual 9-minute VolumePercent data sequentially expanded as the day runs is possible to program.
a bit arranged. [ (ej X el = Sjl), (e'1 X e'2 = +/-e'3), (e1X (e2 x e3) =+/- 1)] Where the result is +1, vectors' up, and if the system determined -1, then the vector(s) angular volatility becomes axial pseudo-vector or better said a bottom.
def volper = reference VolumePercent("time per profile" = "DAY",
"on expansion" = yes "percent per sequence interval" = "9-minutes");
def ymdm = GetYYYYMMDDmm();
I still believe some type of inclusion of the actual 9-minute VolumePercent data sequentially expanded as the day runs is possible to program.
a bit arranged. [ (ej X el = Sjl), (e'1 X e'2 = +/-e'3), (e1X (e2 x e3) =+/- 1)] Where the result is +1, vectors' up, and if the system determined -1, then the vector(s) angular volatility becomes axial pseudo-vector or better said a bottom.
def volper = reference VolumePercent("time per profile" = "DAY",
"on expansion" = yes "percent per sequence interval" = "9-minutes");
def ymdm = GetYYYYMMDDmm();
The projection line (the horizontal in the indicator) is the projected end of day volume total, as of the time you choose to 'lock in' the projection. The moving line is the current estimation of the total volume for the day and we can see how it moves relative to the initial projection (static line). The vertical line tells you where in the day you chose to lock in the projection value.
I'm not sure where including the 9-minute data would add to this... the equation in the indicator is a fairly good approximation of the percentages given in the table that was shared in this thread, and is used for calculation of values at whatever timeframe the user is looking at.
It could be I'm missing something big, but then again I'm being blind to it at the moment
-mashume
Adeodatus
Member
Mashume,
only looking at this part:
def v = volume;
def sum_v = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_v[1] + v else 0;
def sum_y = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_y[1] + (y / 10000) else 0;
plot indicator = if sum_y != 0 then sum_v / sum_y[-1] else double.nan;
and writing to plot movement current to 9.5 minute intervals:
(e'1 X e'2 = +/-e x 5.0%)
(e'2 X e'3 = +/-e x 3.6%)
(e'3 X e'4 = +/-e x 3.1%)
e'4 X e'5 = +/-e x 2.8%
e'5 X e'7 = +/-e x 2.5%
(e'7 X e'8 = +/-e x 2.3%)
e'8 X e'9 = +/-e x 2.2%
e'9X e'10 = +/-e x 2.1%
(e'10 X e'11 = +/-e x 2.0%)
e'11 X e'12 = +/-e x 2.0%
e'12 X e'13 = +/-e x 2.0%
(e'13 X e'14 = +/-e x 1.9%)
e'14 X e'15 = +/-e x1.8%
e'15X e'16 = +/-e x 1.7%
(e'16 X e'17 = +/-e x 1.7%)
e'17 X e'18 = +/-e x 1.6%
e'18 X e'19 = +/-e x 1.5%
(e'19 X e'20 = +/-e x 1.4%)
e'20 X e'21 = +/-e x 1.4%
e'21 X e'22 = +/-e x 1.4%
e'22 X e'23 = +/-e x 1.4%
(e23 X e'24 = +/-e x 1.4%)
e'24 X e'25 = +/-e x 1.6%
e'25X e'26 = +/-e x 1.7%
(e'26 X e'27 = +/-e x 1.8%)
e'27 X e'28 = +/-e x 1.8%
e'28 X e'29 = +/-e x 1.8%
(e'29 X e'30 = +/-e x 1.9%)
e'30 X e'31 = +/-e x 1.9%
e'31 X e'32 = +/-e x 2.2%
e'32 X e'33 = +/-e x 1.8%
(e'33 X e'34 = +/-e x 1.9%)
e'34 X e'35 = +/-e x 1.9%
e'35 X e'36 = +/-e x 2.2%
only looking at this part:
def v = volume;
def sum_v = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_v[1] + v else 0;
def sum_y = if secondsFromTime(0930) >= 0 AND SecondsTillTime(1600) >= 0 then sum_y[1] + (y / 10000) else 0;
plot indicator = if sum_y != 0 then sum_v / sum_y[-1] else double.nan;
and writing to plot movement current to 9.5 minute intervals:
(e'1 X e'2 = +/-e x 5.0%)
(e'2 X e'3 = +/-e x 3.6%)
(e'3 X e'4 = +/-e x 3.1%)
e'4 X e'5 = +/-e x 2.8%
e'5 X e'7 = +/-e x 2.5%
(e'7 X e'8 = +/-e x 2.3%)
e'8 X e'9 = +/-e x 2.2%
e'9X e'10 = +/-e x 2.1%
(e'10 X e'11 = +/-e x 2.0%)
e'11 X e'12 = +/-e x 2.0%
e'12 X e'13 = +/-e x 2.0%
(e'13 X e'14 = +/-e x 1.9%)
e'14 X e'15 = +/-e x1.8%
e'15X e'16 = +/-e x 1.7%
(e'16 X e'17 = +/-e x 1.7%)
e'17 X e'18 = +/-e x 1.6%
e'18 X e'19 = +/-e x 1.5%
(e'19 X e'20 = +/-e x 1.4%)
e'20 X e'21 = +/-e x 1.4%
e'21 X e'22 = +/-e x 1.4%
e'22 X e'23 = +/-e x 1.4%
(e23 X e'24 = +/-e x 1.4%)
e'24 X e'25 = +/-e x 1.6%
e'25X e'26 = +/-e x 1.7%
(e'26 X e'27 = +/-e x 1.8%)
e'27 X e'28 = +/-e x 1.8%
e'28 X e'29 = +/-e x 1.8%
(e'29 X e'30 = +/-e x 1.9%)
e'30 X e'31 = +/-e x 1.9%
e'31 X e'32 = +/-e x 2.2%
e'32 X e'33 = +/-e x 1.8%
(e'33 X e'34 = +/-e x 1.9%)
e'34 X e'35 = +/-e x 1.9%
e'35 X e'36 = +/-e x 2.2%
Mashume, I have made the following observation regarding SPX (and usually also QQQ or NDX):
On an up day, when the volume exceeds the volume from the last down day, market is moving up with high probability even in this bear environment. Vice versa also largely true.
So i want to create logic added to the projected volume code you developed to add that nuance and announce it via AddLabel.
So to track whether upmove is starting, i would want to find the last down day and compare projected volume for today vs volume of that last down day. If projected volume is greater, AddLabel should say Upmove. Can u help?
Further I want the comparison to always be SPX or SPY no matter the symbol in price panel.
To find the last down volume day i was thinking something like assigning a value to a z parameter which would take the value of number of days ago when the last down volume occurred.
def z = if close[1] < Close[2] then 1 else if Close[2] < Close[3] then 2 else if Close[3] < Close[4] then 3, else if Close[4]< Close[5] then 4 else if Close[5] < Close[6] then 5, else if Close[6] < Close[7] then 6, else double.NaN;
Not sure we can do a for loop because i want the process to stop the first instance when condition becomes true. And I figure 6 days is max up days but i could be wrong.
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