Disawar 2016 Chart
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Disawar
05:15 AM
Gali Disawar Mix
08:15 PM
Delhi Bazar
03:15 PM
Shri Ganesh
04:45 PM
Faridabad
06:17 PM
Ghaziabad
09:20 PM
Gali
11:58 PM
Milan Day
03:20 - 05:00 PM
Kalyan
04:10 - 06:10 PM
Milan Night
09:05 - 11:05 PM
Kalyan Night
09:35 - 11:35 PM
| Date | MON | TUE | WED | THU | FRI | SAT | SUN |
|---|---|---|---|---|---|---|---|
| 01/01/2016 to 03/01/2016 | 92 | 77 | 36 | 44 | 26 | 76 | 41 |
| 08/01/2016 to 10/01/2016 | 58 | 30 | 45 | 57 | 72 | 51 | 25 |
| 15/01/2016 to 17/01/2016 | 21 | 59 | 35 | 12 | 70 | 13 | 89 |
| 22/01/2016 to 24/01/2016 | 60 | 42 | 11 | 43 | 99 | 79 | 95 |
| 29/01/2016 to 31/01/2016 | 33 | 90 | ** | 49 | 92 | 89 | 42 |
| 05/02/2016 to 07/02/2016 | 91 | 71 | 39 | 71 | 25 | 92 | 86 |
| 12/02/2016 to 14/02/2016 | 15 | 84 | 41 | 33 | 66 | 46 | 88 |
| 19/02/2016 to 21/02/2016 | 43 | 06 | 46 | 12 | 49 | 33 | 35 |
| 26/02/2016 to 28/02/2016 | 20 | 31 | 76 | ** | 72 | 58 | 17 |
| 04/03/2016 to 06/03/2016 | 83 | 84 | 90 | 96 | 81 | 40 | 38 |
| 11/03/2016 to 13/03/2016 | 86 | 23 | 94 | 49 | 25 | 66 | 23 |
| 18/03/2016 to 20/03/2016 | 36 | 65 | 68 | 93 | 15 | 93 | 87 |
| 25/03/2016 to 27/03/2016 | 09 | 40 | 09 | 55 | 19 | 46 | ** |
| 01/04/2016 to 03/04/2016 | 87 | 99 | 82 | 03 | 22 | 38 | 100 |
| 08/04/2016 to 10/04/2016 | 17 | 90 | 22 | 90 | 82 | 28 | 76 |
| 15/04/2016 to 17/04/2016 | 83 | 47 | 07 | 36 | 95 | 01 | 92 |
| 22/04/2016 to 24/04/2016 | 64 | 62 | 28 | 38 | 07 | 35 | 04 |
| 29/04/2016 to 01/05/2016 | 27 | ** | 48 | 21 | 70 | 25 | 29 |
| 06/05/2016 to 08/05/2016 | 75 | 47 | 15 | 13 | 08 | 79 | 27 |
| 13/05/2016 to 15/05/2016 | 98 | 47 | 72 | 82 | 62 | 15 | 21 |
| 20/05/2016 to 22/05/2016 | 38 | 98 | 94 | 69 | 25 | 98 | 58 |
| 27/05/2016 to 29/05/2016 | 99 | 62 | 94 | 76 | ** | 02 | 76 |
| 03/06/2016 to 05/06/2016 | 07 | 79 | 41 | 19 | 29 | 87 | 71 |
| 10/06/2016 to 12/06/2016 | 65 | 19 | 99 | 39 | 55 | 04 | 67 |
| 17/06/2016 to 19/06/2016 | 33 | 31 | 24 | 23 | 30 | 76 | 23 |
| 24/06/2016 to 26/06/2016 | 84 | 57 | 31 | 60 | 53 | 79 | ** |
| 01/07/2016 to 03/07/2016 | 69 | 06 | 27 | 50 | 41 | 15 | 62 |
| 08/07/2016 to 10/07/2016 | 49 | 03 | 97 | 63 | 24 | 20 | 90 |
| 15/07/2016 to 17/07/2016 | 12 | 01 | 19 | 17 | 69 | 14 | 45 |
| 22/07/2016 to 24/07/2016 | 54 | 80 | 34 | 93 | 01 | 57 | 09 |
| 29/07/2016 to 31/07/2016 | 86 | 63 | ** | 91 | 86 | 94 | 41 |
| 05/08/2016 to 07/08/2016 | 86 | 98 | 63 | 52 | 60 | 34 | 03 |
| 12/08/2016 to 14/08/2016 | 50 | 91 | 33 | 86 | 87 | 03 | 32 |
| 19/08/2016 to 21/08/2016 | 76 | 71 | 57 | 79 | 72 | 67 | 63 |
| 26/08/2016 to 28/08/2016 | 40 | 85 | 61 | 33 | 58 | ** | 62 |
| 02/09/2016 to 04/09/2016 | 41 | 62 | 70 | 98 | 46 | 45 | 22 |
| 09/09/2016 to 11/09/2016 | 93 | 46 | 84 | 50 | 95 | 08 | 95 |
| 16/09/2016 to 18/09/2016 | 38 | 65 | 97 | 32 | 19 | 30 | 98 |
| 23/09/2016 to 25/09/2016 | 34 | 45 | 62 | 32 | 14 | 39 | 88 |
| 30/09/2016 to 02/10/2016 | ** | 58 | 51 | 28 | 57 | 70 | 73 |
| 07/10/2016 to 09/10/2016 | 05 | 65 | 37 | 16 | 37 | 46 | 08 |
| 14/10/2016 to 16/10/2016 | 78 | 07 | 12 | 91 | 31 | 96 | 92 |
| 21/10/2016 to 23/10/2016 | 51 | 96 | 02 | 69 | 44 | 93 | 69 |
| 28/10/2016 to 30/10/2016 | 71 | 94 | 65 | ** | 75 | 65 | 51 |
| 04/11/2016 to 06/11/2016 | 35 | 43 | 85 | 92 | 38 | 35 | 07 |
| 11/11/2016 to 13/11/2016 | 01 | 16 | 34 | 28 | 08 | 31 | 27 |
| 18/11/2016 to 20/11/2016 | 47 | 88 | 02 | 58 | 43 | 44 | 22 |
| 25/11/2016 to 27/11/2016 | 14 | 54 | 35 | 01 | 83 | ** | 44 |
| 02/12/2016 to 04/12/2016 | 75 | 37 | 100 | 15 | 16 | 57 | 90 |
| 09/12/2016 to 11/12/2016 | 87 | 97 | 66 | 72 | 32 | 60 | 77 |
| 16/12/2016 to 18/12/2016 | 44 | 27 | 45 | 82 | 34 | 91 | 57 |
| 23/12/2016 to 25/12/2016 | 16 | 62 | 40 | 66 | 48 | 61 | 97 |
| 30/12/2016 to 01/01/2017 | 20 | ## | ## | ## | ## | ## | ## |
Disawar Satta Chart: Early Morning Archive, Annual Records & Analytical Overview
Serving as the benchmark for early morning historical market tracking, the Disawar Chart holds a significant place in numerical archiving history. Positioned at the very beginning of the daily operational calendar, Disawar data provides the foundational baseline from which many day-long analytical models begin. Our dedicated Disawar portal hosts extensive month-by-month spreadsheets, historical multi-year satta chart records, and reliable sequence tables.
The longevity and stability of the Disawar ledger make it ideal for longitudinal academic and probability studies. By examining decades of consolidated figures, researchers can run algorithmic simulations, test standard distributions, and observe digit variance over extended periods. For cross-market studies featuring both morning and evening logs, visit the centralized Gali Disawar Mix hub to review comparative analytical charts.
Structure of the Disawar Archive
The Disawar ledger is designed for rapid accessibility and longitudinal review:
- Day-Start Timestamps: Every entry reflects the initial scheduled outcome of the calendar date.
- Standardized Double-Digit Notation: Consistent two-digit formatting for seamless parsing by data collection scripts and analytical spreadsheets.
- Archival Durability: Comprehensive historic retention that avoids missing days or irregular gap sequences.
Analytical Methods Applied to Disawar Data
- Unit vs. Tens Tracking: Dividing outcomes into their respective unit and tens places to check for skewed distributions toward odd or even digits.
- Cyclical Weekday Evaluation: Analyzing whether specific weekdays (e.g., Wednesdays or Sundays) historically deviate from mean numerical averages.
- Trailing Moving Averages: Calculating 7-day and 30-day moving averages of daily entries to determine prevailing directional patterns.