Nifty Bank Nifty FinNifty Probability Insights

Patterns based prediction using Predictive Analytics Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of  Nifty in next 20 trading session which will be approximate 1 month timeframe.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of  SPX based on Patterns from Historical Price Data as on EOD Jan-25-2024 There are two patterns that match closely to the pattern created on EOD Jan-25-2024 1. Pattern one from SPX on March-7-1983 had a high of 0.88%, Low of -2.96% and closed -1.15% in next 20 trading days compared to next trading day opening levels. 2. Pattern two from SPX on Aug-7-2017 had a high of 0.04%, low of -2.56% and closed -0.96% in next 20 trading days compared to next trading day opening levels.  How did the pred

 Jai Jinendra, Patterns based prediction using Predictive Analytics Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of  Nifty in next 20 trading session which will be approximate 1 month timeframe.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of  Nifty based on Patterns from Historical Price Data as on EOD Jan-25-2024 There are two patterns one from SPX and another from Nifty that match closely to the pattern created on EOD Jan-25-2024 1. Pattern one from SPX on 16-12-2014 had a high of 6.12%, Low of -0.05% and closed 1.01% in next 20 trading days compared to next trading day opening levels. 2. Pattern two from Nifty on 23-Sep-2005 had a high of 7.73%, low of -4.61% and closed -3.35% in next 20 trading days compared

  I have been sharing my #predictiveanalytics based findings on next 20 days outlook based on #patterns . Here I want to share my observations on patterns that are independent of underlying instrument. In examples shown below, one instance of pattern appeared in #Nifty and another in #spx #spx500 (S&P 500) Example 1 Pattern appeared in SPX on 10-May-1985 where SPX had high 3.81%, Low -0.34% and close 2,84% in next 20 days compared to opening levels of the next trading day of mentioned date. Same pattern appeared in Nifty on 06-Jan-2006 where nifty had high of 3.80%, Low of -4.47% and closed 3.64% in next 20 days compared to opening levels of the next trading day of mentioned date. Example 2 Pattern appeared in SPX on 18-July-2016 where SPX had high of 1.24%, Low of -0.89% and close 1.07% in next 20 days compared to opening levels of the next trading day of mentioned date. Same pattern appeared in Nifty on 4-May-2017 where Nifty had high of 3.1%, low of -0.94% and close 2.74

Name analysis of Infosys and Infy based on Vyakran Shashtra Infosys word contains totally 8 alphabets out of which 4 alphabets belong to Water element category + 1 alphabet of Earth element category = totally 5 alphabets that are friendly to each other. There are 2 alphabets on opposing side with 1 alphabet of Fire element + 1 alphabet of Air element. If Ratio of both the sides comes to 75:25 then opposing sides work as a team, however here the ratio is slightly below at 71.43:28.57 which is very close to the expected ratio. Infy word contains totally 4 alphabets with 1 alphabet each belonging to Water element, Fire element, Earth element and Air element. When all four elements are in equal proportion, they work the best. This is really very good as per Grimmer Manual. I don't know if they had someone who suggested the name Infy based on Vyakran Shashtra or it is by chance? There could be many reasons for the success of a company. I believe how it is named is also a one of th

 Jai Jinendra, Patterns based prediction using Predictive Analytics Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of  Nifty in next 20 trading session which will be approximate 1 month timeframe.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of  Nifty based on Patterns from Historical Price Data as on EOD Jan-15-2024 1. Pattern match is from multiple days where in Average Nifty had moved up 2.33%, corrected -2.05% and closed 0.25% in next 20 trading sessions compared to the opening levels of next trading day While there are minor supports in between, Next major support is between 4600-4640 levels. The minor resistance is at 4800 to 4840 levels. How did the prediction perform one month back? The pattern for Dec-15-20

Jai Jinendra, Patterns based prediction using Predictive Analytics Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of  SPX in next 20 trading session which will be approximate 1 month timeframe.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of  SPX based on Patterns from Historical Price Data as on EOD Jan-12-2024 1. First Pattern match is from Nov-11-1991 where in  SPX had moved up 4.17%, corrected 0% and closed 4.17% in next 20 trading sessions compared to the opening levels of next trading day of Nov-11-1991. 2. The second pattern match is from December-12-2017   where in SPX had moved up 7.09%. corrected -0.34% and closed 7.09%  in next 20 trading sessions compared to the opening levels of next trading day on Dece

 टीसीएस एक आईटी सेवा, परामर्श और व्यापार समाधान संगठन है जो पिछले 50 वर्षों से दुनिया के कई सबसे बड़े व्यवसायों के साथ साझेदारी कर रहा है। हमारा मानना ​​है कि नवाचार और सामूहिक ज्ञान बड़े उद्देश्य के साथ हमारे सभी भविष्य को बदल सकता है। टीसीएस यह चार अक्षरों का शब्द जिसमे की ३ अक्षर जल मंडल से है और १ शब्द पृथ्वी मंडल से है. जल मंडल और पृथ्वी मंडल मित्र मंडल है और उनका विरोधी मंडल अग्नि मंडल और वायु मंडल है. जैसा की आप देख सकते है की टीसीएस शब्द में अग्नि मंडल और वायु मंडल से कोई भी अक्षर नहीं है. यानि इस नाम के चारो अक्षर मिलके एक साथ टीम बांके काम करते है.  शायद इसी लिए टीसीएस कंपनी एक बड़ी सॉफ्टवेयर कंपनी बन पायी है जिसके अभी २०२४ में ६ लाख से ज्यादा कर्मचारी है जों १५३ देशो में काम करते है और इस कंपनी को नवोन्मेषी कंपनियाँ में गिना जाता है.  Disclaimer Note – This subject is of Faith or Trust. There is no assurance that every individual using this service will get their desired outcome.  

રિલાયન્સ નામ નું વ્યાકરણ શાસ્ત્ર વિશ્લેષણ રિલાયન્સ એ ભારતની સૌથી મોટી અને સૌથી નફાકારક ખાનગી ક્ષેત્રની કંપની છે. ૫ અક્ષર ના આ શબ્દ માં ૩ અક્ષરો અગ્નિ મંડળ ના, ૧ અક્ષર જળ મંડળનો અને ૧ અક્ષર વાયુ મંડળ નો. અગ્નિ મંડળ અને વાયુ મંડળ મિત્રો છે જયારે  જળ મંડળ અને  અગ્નિ મંડળ વિરોધી મંડળો છે. પણ જયારે વિરોધી મંડળ નો રેશિઓ ૩ અને ૧ જેટલો અથવા વધારે હોય તો લઘુમતી હાર માની ને સામે ની બાજુનો મિત્ર બની જાય છે. અહીંયા પણ અગ્નિ મંડળ અને જળ મંડળ નો રેશિઓ ૩ અને ૧  છે. આમ ૫ અક્ષરો એક ટીમ થઇ ને   ને કામ કરે છે. કદાચ આજ કારણ છે કે રિલાયન્સ એ ભારતની સૌથી મૂલ્યવાન સંપત્તિઓનું નિર્માણ કરે છે અને તમામ ભારતીયો માટે વધુ સારા ભવિષ્ય માટે નવીનતા કરે છે. -સનજય Disclaimer Note – This subject is of Faith or Trust. There is no assurance that every individual using this service will get their desired outcome.  

Jai Jinendra, Patterns based prediction using Predictive Analytics Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of Bank Nifty in next 20 trading session which will be approximate 1 month timeframe.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of Bank Nifty based on Patterns from Historical Price Data as on EOD Jan-8-2024 The historical price data as on Jan-8-2024 has pattern value 109.7279 which is matching with the2 patterns from the past.  1. First Pattern match is from Feb-17-2021 has pattern value 109.7278 where in Bank Nifty had moved up 0.87%, corrected -8.98% and closed -8.27% in next 20 trading sessions compared to the opening levels of next trading day of Feb-17-2021. 2. The second pattern match is from J

Patterns based prediction using Predictive Analytics Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of SPX in next 20 trading session which will be approx 1 month timeframe from the day it is evaluated.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of SPX based on Patterns from Historical Price Data as on EOD Jan-5-2024 The historical price data as on Jan-5-2024 is matching the pattern with  3 instances of the past.  1. First Pattern match is from March-21-1985 where in SPX had moved up 1.79%, corrected -0.84% and closed positive 0.98% in next 20 trading sessions compared to the opening levels of next trading day of March-21-1985. 2. The second pattern match is from April-22-1996 where in SPX had moved up 3.98%. corr

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Patterns based prediction  Jai Jinendra, There are two types of data available for Nifty.  1. Historical Price Data and 2. Option Chain Data Every data contains patterns based on which it is possible to predict the expected movement of the market. Here I am trying to derive expected movement of Nifty in next 20 trading session which will be approx 1 month timeframe from every day.  This blog is like central repository for me that I can refer in future to see how my research of the subject is progressing. Please don't use it for your trading. See the disclaimer below. Next 20 days Outlook of Nifty based on Patterns from Historical Price Data and Option Chain Data as on EOD 05-Jan-2024 1. The historical price data as on EOD 05-Jan-2024 is matching the pattern with  9-May-2017 where in Nifty had appreciated 4.21%, corrected 0.21% and closed 3.44% from the opening levels of 10-May-2017 in next 20 days. The second nearest pattern is from 14-Aug-2018 where in Nifty had appreciated 2.84%,