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submitted by Rufflenator to 3bitcoins [link] [comments] |

submitted by ososru to Bitcoin4free [link] [comments] |

submitted by Hellterskelt to bitcoin_is_dead [link] [comments] |

Have a checking account that has an average daily balance requirement for the checking portion only. Is there a way I can maximize savings interest by keeping in savings, then transferring over x amount on x date to do so or something? I guess it would likely be a wash then since both calculate average, right? Any other solutions?

Thanks so much!

submitted by 77thway to personalfinance [link] [comments]
Thanks so much!

submitted by R3lak to Superstonk [link] [comments] |

I have unsuccessfully tried to use AVERAGEIF, SORTN, and the QUERY functions to figure this out. I'm afraid I'm still new at Google Sheets so Googling for solutions only got me so far. The closest I've gotten so far with no results is the following formula which coincides with #3 below:

^{Table} ^{formatting} ^{brought} ^{to} ^{you} ^{by} ^{ExcelToReddit}

submitted by Fried_Yoda to googlesheets [link] [comments]
=query(A1:D,"Select Avg(D) where B>='0%' and B<'10%'",1)Essentially what I'm trying to figure formulas out is for the following:

- Calculate the average of Col B (Max Change) if the date in Col A is < Today (so it should calculate the average of B2:B8)
- Calculate the average of Col D (-20%), but only include values where the corresponding Col B (Max Change) is >=10% and the corresponding date in Col A is < Today (so it should calculate the average of D5:D6)
- Calculate the average of Col D (-20%). but only include values where the corresponding Col B (Max Change) is >=0% and <10% and the corresponding date in Col A is < Today (so it should calculate the average of D3:D4, D7:D8)

+ | A | B | C | D |
---|---|---|---|---|

1 | Date | Max Change | Item | -20% |

2 | 30-Oct-20 | -2.90% | A | -1.22% |

3 | 6-May-22 | 4.11% | B | -2.86% |

4 | 30-May-22 | 1.71% | C | -12.96% |

5 | 7-Oct-22 | 20.80% | D | -7.01% |

6 | 9-Sep-22 | 12.58% | E | 22.45% |

7 | 19-Aug-22 | 1.09% | F | 13.47% |

8 | 16-Sep-22 | 3.28% | G | 42.61% |

9 | 16-Oct-22 | 17.09% | H | 34.25% |

10 | 11-Nov-22 | 21.98% | I | -10.34% |

submitted by Short_Prompt692 to sciences [link] [comments] |

I have a list of values associated with times. so something like

10:15 -0.1

10:20 -0.2

For all values above -0.1, I need the average amount of time it stayed above that number. so if it was 0.0 between 10:25 and 10:30 I need excel to list that somehow and give me an overall average time above value number too. The list is extremely long so an average time above the goal is most ideal.

I have been playing around with =If( statements to see if I can figure it out but this feels like it needs something more sophisticated.

submitted by Tester12311 to excel [link] [comments]
10:15 -0.1

10:20 -0.2

For all values above -0.1, I need the average amount of time it stayed above that number. so if it was 0.0 between 10:25 and 10:30 I need excel to list that somehow and give me an overall average time above value number too. The list is extremely long so an average time above the goal is most ideal.

I have been playing around with =If( statements to see if I can figure it out but this feels like it needs something more sophisticated.

I mean i want to screen all the stocks that on an average moves +or- 5% on a daily base ? Is there a screener for something like this ? Or should i manually do dayhigh-daylow for 10 days and divide by 10 ?

Let me know what would be the best way. Thanks.

EDIT : What i want is the stocks which move on an average +5% or -5% on a daily basis. More volatile the better. Maybe i framed the question wrong, but i am not trying to find whose 10 day average is 5%.

submitted by respawn_12 to IndianStreetBets [link] [comments]
Let me know what would be the best way. Thanks.

EDIT : What i want is the stocks which move on an average +5% or -5% on a daily basis. More volatile the better. Maybe i framed the question wrong, but i am not trying to find whose 10 day average is 5%.

submitted by LostSilver13Foxx to Wallstreetsilver [link] [comments] |

Has anyone done a calculation on how the shrewd investors who bought the dip since ATH of $64K, what’s the value of their portfolio assuming they bought a fixed amount say $1K worth of BTC every month?

submitted by financepk to Buttcoin [link] [comments]
Khi nói đến chỉ báo ATR, người ta lại nhớ đến một chỉ báo dùng để đo độ lớn mức biến động của quá trình chuyển động giá hơn là một chỉ báo đơn giản phán đoán xu hướng tăng giảm của giá trên thị trường. Trong thị trường forex hay chứng khoán, ATR luôn luôn được xem như một công cụ dùng để thiết lập những mức chốt lời take profit hay cắt lỗ stop loss. Chứ không phải là tìm điểm entry giúp cho việc thiết lập 1 lệnh buy/sell dựa theo xu thế chuyển động của thị trường giống như đường MA. submitted by tienaotructuyen to u/tienaotructuyen [link] [comments] Nguồn bài viết: https://tienaotructuyen.com/chi-bao-at #tienaotructuyen # chibaoatr https://preview.redd.it/222fw2uct0v81.jpg?width=808&format=pjpg&auto=webp&s=98879c044ddf9abb03397315bd410eb6f30ef049 |

Hi there,

Hope everyone is doing well. I am hoping someone can point me in the right direction here. I have a large dataset (>6000) with daily variables from 2004-2021 and I am looking to sum the annually/monthly values of each month and year.

What is the best way approach this? Should I generate a new column for each Month and Year? Is there a way to further separate my date column? Or a way to for R to process this.

Sorry for being extremely vague here, I dont even know what what type into google to assist my problem here lol.

Trying to calculate monthly weather averages from daily averages. My data looks like this;

https://preview.redd.it/x5m0jjwroyv91.png?width=439&format=png&auto=webp&s=cdbcd0b180000f1212b81f8b872087d8942099f8

Many thanks

submitted by Brilliant-Hat-6314 to RStudio [link] [comments]
Hope everyone is doing well. I am hoping someone can point me in the right direction here. I have a large dataset (>6000) with daily variables from 2004-2021 and I am looking to sum the annually/monthly values of each month and year.

What is the best way approach this? Should I generate a new column for each Month and Year? Is there a way to further separate my date column? Or a way to for R to process this.

Sorry for being extremely vague here, I dont even know what what type into google to assist my problem here lol.

Trying to calculate monthly weather averages from daily averages. My data looks like this;

https://preview.redd.it/x5m0jjwroyv91.png?width=439&format=png&auto=webp&s=cdbcd0b180000f1212b81f8b872087d8942099f8

Many thanks

submitted by AlXBG to Military [link] [comments] |

I have a long list of dates with corresponding values next to them. I am trying to calculate the weekly average. Week 18 is the average of C5:C11. Is it possible for me to drag this function down to get the avarage of week 19 which is C12:C18?

So if I drag the function down by one cell I want the range over which the average is calculated to go down by 7 instead of 1.

https://preview.redd.it/87jy6di8gh191.png?width=709&format=png&auto=webp&s=3c86908fdc7b8ed3ee7523b715bf2ad4eb146a03

submitted by 13Polar_Opposite to excel [link] [comments]
So if I drag the function down by one cell I want the range over which the average is calculated to go down by 7 instead of 1.

https://preview.redd.it/87jy6di8gh191.png?width=709&format=png&auto=webp&s=3c86908fdc7b8ed3ee7523b715bf2ad4eb146a03

submitted by dailypriceaction to ForexPriceAction [link] [comments] |

Hi!

I humbly request fo the addition Average Daily Range % as a screener filter.

All the best. Here is a code from a user in TW that i use as an indicator:

**// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/** **// Calculates Average Daily Range percentage over last 20 periods** **// Original: alpine_trader** **// Amended 08/12/20 by TheScrutiniser, MikeC on advise from GlinckEastwoot** **//@version=4**

**study(title="ADR% - Average Daily Range %",** **overlay=false)** **Length** **=** **input(20,** **title="length")** **dhigh** **=** **security(syminfo.tickerid,** **'D',** **high)** **dlow** **=** **security(syminfo.tickerid,** **'D',** **low)** **// formula amended, thanks to GlinckEastwoot** **ADR** **=** **100** **\*** **(sma(dhigh/dlow,** **Length)** **-** **1)** **plot(ADR,** **color=color.orange,title="ADR",linewidth=1)**

submitted by holesandholes to TradingView [link] [comments]
I humbly request fo the addition Average Daily Range % as a screener filter.

All the best. Here is a code from a user in TW that i use as an indicator:

submitted by davlumbaz02 to KGBENG [link] [comments] |

I have a giant list of dates, and I'd like to know what the average number of times each unique date is listed. Is there a formula I could use to calculate this?

Example data set: 4/19/2019 4/19/2019 4/18/2019 4/20/2019 4/20/2019 4/20/2019

submitted by robneptune to excel [link] [comments]
Example data set: 4/19/2019 4/19/2019 4/18/2019 4/20/2019 4/20/2019 4/20/2019

submitted by UnfairInsurance8695 to u/UnfairInsurance8695 [link] [comments]

So im developing an application for something and i need to find the average of a number of various ranges without the average of all being outside the range in any of the values. Im not sure if this is a maths question or a programming one but I thought id ask.

for example. The numbers 1.1-1.5, 1.3-4.5, and 0.9-1.4. If I averaged each range, then averaged the range together it would be too high to fall in the range of the lower ranges.

any ideas?

submitted by ecatsuj to learnmath [link] [comments]
for example. The numbers 1.1-1.5, 1.3-4.5, and 0.9-1.4. If I averaged each range, then averaged the range together it would be too high to fall in the range of the lower ranges.

any ideas?

Now that we have the Journey Log we have some better consumption data to calculate range and what not. I dumped the data collected for my car since the app launched and added some formulas from another owner (at the end) and such to spit out numbers. I did my best to make sure the math is correct, but I suck at it, so if anyone spots anything glaringly wrong let me know.

Before I get to the good stuff, a few caveats:

As for longer distances, I took a trip up to LA recently and was eager to check it out when I got home... but unfortunately the app didn't register the trip up, just the trip down (I suspect AAOS closed it). The return trip was split in two since I stopped and charged, and I was a little more conservative with the go pedal on the first leg for obvious reasons. Factoring in traffic and waiting at lights and such, I averaged ~36mph the first leg, ~50 the second.

I am not a hypermile, range preserving driver by any stretch of the imagination. I'm often the first across the intersection, and I freely and regularly will use the power available to get away from and around traffic. Still, if I pull out the extremely short trips my average projected range is about 230mi, which is right at the EPA rating for the 2021 cars. Considering the changes made to bump that rating up to 249, 230 is pretty good and less of a drop off than I was expecting.

The formulas:

submitted by TheJamintheSham to Polestar [link] [comments]
Before I get to the good stuff, a few caveats:

- Polestar, in response to a question, said the app calculates consumption based on snapshots it takes of the instant consumption while driving (I'll put the exact quote at the bottom of the post) so it's not perfectly accurate. This is weird because we know AAOS exposes the battery level, I think in watts, so they could just grab it when the car is put in "gear" and then again when it's put in park. There's probably some other reason they did this, maybe for some future functionality, but it's strange.
- Most of my trips are fairly short, so my consumption will be higher than most with longer commutes. I do set the car to precondition, but it only does so much.
- The range calculation is based on 75kWh available. This figure has not been confirmed, I did see the car reported 76.225 to some apps, but 75 is what's generally printed.
- My car has the Performance Pack, which is known reduce range because of the larger wheels and sticky tires.
- Lastly, this is all pre P1.9, I forgot to export the data for the week this afternoon. I may do that later because I put the roof rack on the car on Friday and I'm curious what that does to the range.

- Total trips: 30
- Total distance: 359.98 miles
- Average Efficiency: 35.92 kw/100mi
- Average projected range: 218.3 miles

- To: 43.46 kw/100Mi, 172.6mi projected range
- From: 28.26 kW/100mi, 265.4 mi projected range

As for longer distances, I took a trip up to LA recently and was eager to check it out when I got home... but unfortunately the app didn't register the trip up, just the trip down (I suspect AAOS closed it). The return trip was split in two since I stopped and charged, and I was a little more conservative with the go pedal on the first leg for obvious reasons. Factoring in traffic and waiting at lights and such, I averaged ~36mph the first leg, ~50 the second.

- Distance: 41.39/89.01mi
- Efficiency: 27.36/31.73 kWh/100mi
- Projected range: 274.1/236.4 mi

I am not a hypermile, range preserving driver by any stretch of the imagination. I'm often the first across the intersection, and I freely and regularly will use the power available to get away from and around traffic. Still, if I pull out the extremely short trips my average projected range is about 230mi, which is right at the EPA rating for the 2021 cars. Considering the changes made to bump that rating up to 249, 230 is pretty good and less of a drop off than I was expecting.

The formulas:

- Efficiency: kW * (100/distance)
- Range: (distance/kW) * 75

The consumption data is calculated as follows. When a new trip is started (changing from PARK to R, N or D) we start collecting the instantaneous consumption (W). When a trip is ended (the car is put into PARK) we calculate the total consumption in kWh by dividing the sum of the instantaneous consumption by the trip duration. This method will never give the exact consumption figure due to the refresh rate of instantaneous consumption. We’re looking into possibilities of improving the accuracy even further(P.S. Over these 30 trips, I've saved ~$70 in fuel costs as well, more when you consider a chunk of those watts were free.)

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