DAYOFWEEK performance1 -Objective 
"What is the ''best'' day to trade .. Monday, Tuesday...."
This script aims to determine if there are different results depending on the day of the week.
The way it works is by dividing data by day of the week (Monday, Tuesday, Wednesday ... ) and perform calculations for each day of the week.
1 - Objective
2 - Features
3 - How to use (Examples)
4 - Inputs
5 - Limitations
6 - Notes
7 -  Final Tooughs
 2  - Features 
 AVG OPEN-CLOSE 
    Calculate de Percentage change from day open to close  
 Green % (O-C)   
Percentage of days green (open to close)  
 Average Change 
Absolute day change  (O-C) 
 AVG PrevD. Close-Close 
Percentage change from the previous day close to the day of the week close
(Example: Monday (C-C) = Friday Close to Monday close
Tuesday (C-C) = Monday C. to Tuesday C.
 
 Green % (C1-C)   
Percentage of days green (open to close) 
 AVG Volume 
Day of the week Average Volume 
 Notes: 
*Mon(Nº) -  Nº = Number  days is currently calculated
     Example: Monday (12) calculation based on the last 12 Mondays. Note: Discrepancies in numbers example Monday (12) - Friday (11) depend on the initial/end date or the market was closed (Holidays).
 3  - How to use (Examples)  
For the following example,   NASDAQ:AAPL  from 1 Jan 21 to 1 Jul 21 the results are following.
The highest probability of a Close being higher than the Open is Monday with  52.17 % and the Lowest  Tuesday with 38.46 %. Meaning that there's a higher chance (for  NASDAQ:AAPL  ) of closing at a higher value on Monday while the highest chance of closing is lower is Tuesday. With an average gain on Tuesday of 0.21%
 Long   - The best day to buy (long) at open (on average) is Monday with a 52.2% probability of closing higher 
 Short - The best day to sell (short) at open (on average) is Tuesday with a 38.5% probability of closing higher (better chance of closing lower) 
  
Since the values change from ticker to ticker, there is a substantial change in the percentages and days of the week. For example let's compare the previous example (  NASDAQ:AAPL  ) to  NYSE:GM  (same settings)
For the same period, there is a substantial difference where there is a 62.5% probability Friday to close higher than the open, while Tuesday there is only a 28% probability.
With an average gain of 0.59% on Friday and an average loss of -0.34%
  
Also, the size of the table (number of days ) depends if the ticker is traded or not on that day as an example  COINBASE:BTCUSD 
  
 4  - Inputs 
 DATE RANGE 
Initial Date - Date from which the script will start the calculation.
End Date - Date to which the script will calculate.
 
 TABLE SETTINGS 
Text Color - Color of the displayed text
Cell Color - Background color of table cells
Header Color - Color of the column and row names
Table Location - Change the position where the table is located.
Table Size - Changes text size and by consequence the size of the table 
 5  - LIMITATIONS 
The code determines average values based on the stored data, therefore, the range (Initial data) is limited to the first bar time.
As a consequence the lower the timeframe the shorter the initial date can be and fewer weeks can be calculated. To warn about this limitation there's a warning text that appears in case the initial date exceeds the bar limit.
Example with initial date 1 Jan 2021 and end date 18 Jul 2021 in 5m and 10 m timeframe:
  
 6  - Notes and Disclosers 
The script can be moved around to a new pane if need. -> Object Tree > Right Click Script > Move To > New pane
The code has not been tested in higher subscriptions tiers that allow for more bars and as a consequence more data, but as far I can tell, it should work without problems and should be in fact better at lower timeframes since it allows more weeks.
The values displayed represent previous data and at no point is guaranteed future values
 7  - Final Tooughs  
This script was quite fun to work on since it analysis behavioral patterns  (since from an abstract point a Tuesday is no different than a Thursday), but after analyzing multiple tickers there are some days that tend to close higher than the open.
PS: If you find any mistake ex: code/misspelling please comment.
