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Showing posts from July, 2023

क्या नाम से फर्क पड़ सकता है? - देव आनंद

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क्या नाम से फर्क पड़ सकता है? की श्रृंखला में आपका स्वागत है नाम के अक्षर विभिन्न तत्वों के सदस्य हैं जैसे जल मण्डल , अग्नि मण्डल , पृथ्वी मण्डल  और वायु मण्डल । देव आनंद बहुमुखी व्यक्तित्व के धनी एक सफल अभिनेता और कलाकार थे। आज मैं उनके फिल्मी नाम देव और असली नाम धरमदेव दोनों का विश्लेषण करूंगा और जानूंगा कि उनके सफल करियर में उनके नाम का कोई योगदान है या नहीं। नाम देव  आनंद   -  देव शब्द में एक अक्षर वायु मण्डल से और एक अक्षर अग्नि मण्डल से। दोनों तत्व एक दूसरे के मित्र हैं अर्थात एक दूसरे की टांग नहीं खींचते और एक दूसरे की मदद करते हैं जिससे 1 + 1 = 11 हो जाता है। उपनाम आनंद - 1 अक्षर जल मंडल, 2 अक्षर वायु मंडल। अब वायु मंडल के कुल अक्षर 3 हुए (१ देव शब्द से और २ आनंद शब्द से) + अग्नि मंडल अक्षर 1 ( देव शब्द से )  =  कुल  मित्र अक्षर 4 और जल मंडल अक्षर 1 (आनंद शब्द से). अगर विरोधी समाज अनुपात 1 विभाजित 4 = 0.25 जो 0.33 जितना या उससे  कम है तो अल्पमत हार मान लेता है और विपरीत पक्ष का मित्र बन जाता है। अतः देव आनंद नाम के 5 अक्षर सही हैं। नाम धरमदेव  आनंद    -  धरमदेव शब्द  इस नाम में

US Mega Cap Stocks Ranking based on their distance from 52 weeks High as on July 31, 2023

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 US Mega Cap Stocks Ranking based on their distance from 52 weeks High as on July 31, 2023 Mega Cap stocks are stocks with Market Capitalization > 200 billion dollars. There are 47 stocks that are part of Mega Cap category. One way to rank them is to rank them from Highest to Lowest Market Capitalization. Another way of ranking them is based on their price momentum to identify their distance from their 52 weeks high and rank them accordingly with lowest distance being on top not the Market Capitalization. Table below the disclaimer shows ranking based on Market Capitalization as well as based on their percentage distance from 52 weeks high. #AAPL #MSFT #GOOG #GOOGL #AMZN #NVDA #TSLA #PCGU #META #BRK/A #BRK/B #TSM #UNH #JPM #JNJ #V #LLY #WMT #XOM #MA #AVGO #PG #NVO #HD #ORCL #CVX #ASML #KO #MRK #ABBV #PEP #BAB #A #BAC #COST #NGG #ADBE #NOW #TM #AZN #NVS #CRM #TMO #MCD #CSCO #ACN #SHEL #PFE Disclaimer - This is not a investment or trading advice / recommendation. It does not look at T

US Markets 10 Micro Cap Stocks in last 10 days with positive and negative price momentum as on 28-July-2023

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 US Markets 10 Micro Cap Stocks in last 10 days with positive and negative price momentum as on 28-July-2023 Following is the list of 10 Micro Cap stocks that had highest positive and negative price momentum in last 10 days. The period of comparison is from July 14, 2023 to July 27, 2023 #DIT, #USB^A, #BIO/B, #BAC^L, #AURCU, #VIEW, #AURC, #OBT, #URGN, #QNRX, #AAMC, #CTGO, #MTR, #TLGA, #SNAX, #RCLFU, #NERV, #HWM^, #LZM, #MEDS Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis.  The outcome could be prone to data issues or calculation issues.  This post is for information purpose only.  The higher probability percentage or ranking does not guarantee the actual outcome to be matching with that of predicted outcome. 

World Markets ranking based on their distance from 52 Weeks High

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 World Markets ranking based on their distance from 52 Weeks High Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The higher probability percentage or ranking does not guarantee the actual outcome to be matching with that of predicted outcome.

US Markets 2 Large Cap Stocks with potential to move to Mega Cap (Update as on July 25, 2023)

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 US Markets 2 Large Cap Stocks with potential to move to Mega Cap (Update as on July 25, 2023) The threshold criteria for any stock to be in Mega Cap group is that its market cap should be above $200 billion. Following two large cap stocks current market cap is within 5% distance away from the threshold of Mega Cap stocks. Although their move to next level might not be in near future. They have been identified based on their current market cap and its distance from threshold of next level. There are always possibilities of change in market scenarios of it not happening or happening late. Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The findings could be prone to incorrect data and / or calculation errors. The higher probability percentage or ranking or values does not guarantee  the actual outcome to be matching with that of predicted outcome.

Why Investors should track US Bond Yields? Update as on July 24, 2023

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 Why Investors should track US Bond Yields? Update as on July 24, 2023 As of now, Short-term treasury bills yield is higher than the long-term treasury bill yield. It is called Inverted yield curve. It implies interest on short term bonds is higher than that of long-term bonds. This is not a regular and consistent feature but it keeps happening sometimes. The reason it is important to track treasury bond yields of different timeframes because it can impact Interest rates, cost of borrowings, Risk perception and safety of money compared to other markets like Stocks, Commodities and Currencies, Inflation and economic sentiments, Impact on other emerging economies etc. Tracking and comparing current bond yield with their 52 weeks high or low can help understand their distance from 52 weeks high or low. As one can see from the table below that short term bond yield of 13 weeks is less than 0.50% away from 52 weeks high. Disclaimer - This is not a investment or trading advice / recommendati

US Markets Mid Cap 10 Stocks with Positive and Negative Price Momentum for week ending July 21, 2023

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 US Markets Mid Cap 10 Stocks with Positive and Negative Price Momentum for week ending July 21, 2023 Following is the list of 10 Mid Cap stocks that had a highest positive and negative price momentum during July 17, 2023 to July 21, 2023. #CABO, #WTM, #SAIA, #SEB, #RGEN, #BMI, #MKTX, #GHC, #SFBS, #ARCB, #MASI, #AN, #DDS, #INSP, #APLS, #ACLS, #LAD, #MSTR, #GLOB, #SPSC Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The findings could be prone to incorrect data and / or calculation errors. The higher probability percentage or ranking or values does not guarantee  the actual outcome to be matching with that of predicted outcome.

US Markets Large Cap 10 Stocks Positive and Negative Price Momentum for week ending July 21, 2023

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US Markets Large Cap 10 Stocks Positive and Negative Price Momentum for week ending July 21, 2023  Following is the list of 10 Large Cap stocks that had a highest positive and negative price momentum during July 17, 2023 to July 21, 2023. #TPL, #ARGX, #MELI, #MKL, #ELV, #MTD, #BIO, #GS, #BLK, #ROP, #NVR, #AZO, #MPWR, #LRCX, #ALGN, #KLAC, #CMG, #BKNG, #EFX, #ALB Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The findings could be prone to incorrect data and / or calculation errors. The higher probability percentage or ranking does not guarantee the actual outcome to be matching with that of predicted outcome.

Dow Jones range for 2023 using yearly historical price data

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 Dow Jones range for 2023 using yearly historical price data  Following is the range identified based on yearly historical price data. The yearly data used is from 1896 to 2022. Critical range is 31000 to 32000. As long as Dow trades above these levels, the upper limit range can go as high as 37000 to 38000 on higher side. Any fall below the critical range, the range can be as low as 28000 to 29000 on lower side. The trendline also includes the R2 values. R-squared value measures the trendline reliability - the nearer R2 is to 1, the better the trendline fits the data. Note = The numbers might seem extreme but this is yearly data and not lower timeframe data. Please refer the chart shown below the disclaimer for further details. Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The findings could be prone to incorrect data and / or calculation er

Penny stocks (10) Price Momentum Ranking based on distance from 52 Weeks Highs as on July 20, 2023

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 Penny stocks (10 Microcap) Price Momentum Ranking based on distance from 52 Weeks Highs as on July 20, 2023 Stocks that have market price less than 1 are generally considered Penny Stocks. The objective here is to generate price momentum ranking based on their current price distance from their 52 weeks high price. The criteria used to identify these 10 stocks was Price < $ 1, Market Cap > 0, Close > 0, % Change Top 10. Rank 1 implies higher momentum then Rank 2 and so on.   The findings are shared in the table provided below the disclaimer. #AENTW, #SNAXW, #GFAIW, #KERNW, #UKOMW, #SQLLW, #BFRIW, #SBIGW, #SWVLW, #BRSHW Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The findings could be prone to incorrect data and / or calculation errors. The higher probability percentage or ranking does not guarantee the actual outcome to be matching with th

Price Momentum ranking of Top 10 Micro Cap stocks based on volume with positive close on July 19, 2023

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  Price Momentum ranking of Top 10 Micro Cap stocks based on volume with positive close on July 19, 2023 Below are the 10 stocks from Micro Cap segment that had highest volume with positive close on July 19, 2023. The objective is to find out their closing price distance from their 52 weeks Highs. Nearer the closing price to its 52 weeks high, higher is the price momentum. The table shown below the disclaimer has ranking of 1 to 10 in terms of volume as well as based on their distance from their 52 weeks high. Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The higher probability percentage or ranking does not guarantee the actual outcome to be matching with that of predicted outcome. #CLBR, #SXTP, #WKHS, #MRT, #CGC, #NOVN, #SYTA, #SMX, #PBLA, #TTOO

US Markets country wise distribution of Market Capitalization as on week starting July-17-2023

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  US Markets country wise distribution of Market Capitalization as on week starting July-17-2023 This is fifth post covering US Market Capitalization. US Markets Capitalization is above 64 trillion dollars as on week starting July 17, 2023. The first post covered top 11 stocks that forms 23.80% of total Market Cap. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/NASDAQTop11170723.html The second post covered sectoral breakup on how Market Cap is distributed across different sectors where Technology was on top spot. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/MarketCap071723.html The third post covered Industry breakup on how Market Cap is distributed across Industries within Sectors covered earlier. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/Industrymktcap071723.html The fourth post c

US Markets segment / category wise distribution of Market Capitalization as on week starting July-17-2023

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US Markets segment / category wise distribution of Market Capitalization as on week starting July-17-2023 This is fourth post covering US Market Capitalization. US Markets Capitalization is above 64 trillion dollars as on week starting July 17, 2023. The first post covered top 11 stocks that forms 23.80% of total Market Cap. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/NASDAQTop11170723.html The second post covered sectoral breakup on how Market Cap is distributed across different sectors where Technology was on top spot. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/MarketCap071723.html The third post covered Industry breakup on how Market Cap is distributed across Industries within Sectors covered earlier. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/Industrymktcap071723.html The obj

World Markets Ranking based on their distance from All Time High (ATH) as on week starting July 17, 2023

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 World Markets Ranking based on their distance from All Time High (ATH) as on week starting July 17, 2023 Following table covers Major Stock Markets, Commodities and Bonds. The ranking is done based on their distance from their All Time High in the past. Rank 1 has lowest distance while higher ranks means higher distance of current prices from their AYH. Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The higher probability percentage or ranking does not guarantee the actual outcome to be matching with that of predicted outcome.  

US Markets Industry wise distribution of Market Capitalization as on week starting July-17-2023

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  US Markets Industry wise distribution of Market Capitalization as on week starting July-17-2023 This is third post covering US Market Capitalization. US Markets Capitalization is above 64 trillion dollars as on week starting July 17, 2023. The first post covered top 11 stocks that forms 23.80% of total Market Cap. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/NASDAQTop11170723.html The second post covered sectoral breakup on how Market Cap is distributed across different sectors where Technology was on top spot. If you have not seen the post, the URL is mentioned below https://www.marketprobabilityinsights.com/2023/07/MarketCap071723.html The objective of this post is to identify top Industries within the sectors covered earlier. Since the list of Industries is big, I have kept all the industry whose percentage share is greater than 1% of total market cap. This covers 27 industries with 72% of market cap share.

US Markets Sectoral distribution of Market Capitalization as on week starting July-17-2023

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 US Markets Sectoral distribution of Market Capitalization as on week starting July-17-2023 Current US Markets Capitalization is above 64 trillion dollars. We all know about Top 11 stocks (with highest market capitalization like Apple, Microsoft, Alphabet, Amazon, Nvidia, Tesla, Pacific Gas, Meta (Facebook) and Berkshire. These companies were covered in my previous post yesterday.  These companies collectively have 23.8% of total market cap. https://www.marketprobabilityinsights.com/2023/07/NASDAQTop11170723.html This post is focused on Sectoral distribution of overall Market Capitalization in US. It would be interesting to know which sectors have shown momentum? and which sectors are lagging behind? and How each sector contributes to overall Market Capitalization of 64 trillion dollars. Note - Sector for Berkshire Hathaway in data was blank, If it is to be counted in Finance sector then Finance sector moves above healthcare but I have left it as it is The Table shown below disclaime

NASDAQ Top 11 Stocks - Price Momentum and All time high distance measurement to identify any probable changes in ranking of Market Capitalization Week starting July-17-2023

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  NASDAQ Top 11 Stocks - Price Momentum and All time high distance measurement to identify any probable changes in ranking of Market Capitalization Week starting July-17-2023 One of the approaches in identifying top companies is to look at their Market Capitalization. In every stock market, one can find the list of companies based on their Market Capitalization. However there is also a need to check if the ranking of those companies will remain same for the foreseeable future or is it likely to change (increase or decrease). Comparing the current price of each of those companies with their all time high (ATH) can provide an insight for the same by measuring the distance between current price and ATH price.  Those companies whose prices have high momentum will have lesser distance from their ATH price. The table below the disclaimer has picked up Top 11  companies of NASDAQ in terms of their Market Capitalization ranking and their distance from ATH. #NASDAQ.  #AAPL, #MSFT, #GOOG, #GOOGL

FTSE Top 8 Stocks - Price Momentum and All time high distance measurement to identify any probable changes in ranking of Market Capitalization Week starting July-17-2023

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FTSE Top 8 Stocks - Price Momentum and All time high distance measurement to identify any probable changes in ranking of Market Capitalization Week starting July-17-2023 One of the approaches in identifying top companies is to look at their Market Capitalization. In every stock market, one can find the list of companies based on their Market Capitalization. However there is also a need to check if the ranking of those companies will remain same for the foreseeable future or is it likely to change (increase or decrease). Comparing the current price of each of those companies with their all time high (ATH) can provide an insight for the same by measuring the distance between current price and ATH price.   Those companies whose prices have high momentum will have lesser distance from their ATH price. The table below the disclaimer has picked up Top 8 companies of FTSE (LSE UK) in terms of their Market Capitalization ranking and their distance from ATH. #FTSE #AZN #SHEL #HSBA #ULVR #BP #

Emerging Markets Bond #EMB (Monthly) Outlook Probability Insights based on past Data Patterns for the month starting July-2023

Emerging Markets Bond #EMB (Monthly) Outlook Probability Insights based on past Data Patterns for the month starting July-2023  Global bonds markets size was 133 trillion dollars in 2022. Here I cover monthly outlook on J P Morgan Emerging Markets Bond #EMB There are 187 months of historical data available. Out of 187 months 111 months had positive close and 76 months had negative close compared to previous month close. The best prediction model accuracy was 58% but it was getting skewed in favor of positive close data and only 3 negative close months were getting qualified. I had to opt for lesser prediction accuracy model of 53.5% that had prediction accuracy with 67% of positive close data and 33% of negative close data. Probability Ratio of the overall model for Correct to Incorrect pattern prediction is 53.5% : 46.5% EMB closed at 86.54 on june-30-2023 There is 61% probability of it closing higher compared to previous month close with average of 1.81%, minimum of 0

Dollar index (Monthly) Outlook Probability Insights based on past Data Patterns for the month starting July-2023

Dollar index (Monthly) Outlook Probability Insights based on past Data Patterns for the month starting July-2023  Tracking Dollar Index is critical for Stock Market as well as Commodities and Currency Markets. Rising Dollar Index normally implies strong dollar. Following are the insights for trading month starting July-1-2023 There are 622 months of historical data available. Dollar Index closed at 102.912 on june-30-2023 There are totally 5 instances that matches the pattern to June 2023 There are 4 records that closed in negative with average of –0.83%, minimum -0.40% and maximum -0.94% There is 80% probability of Dollar Index closing lower than the close of June 2023.  There is 1 record that closed positive with 0.30% There is 20% probability of Dollar Index closing higher than the close of June 2023. #DollarIndex Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post

USDEUR (Monthly) Outlook Probability Insights based on past Data Patterns for the month starting July-2023

USDEUR (Monthly) Outlook Probability Insights based on past Data Patterns for the month   starting July-2023  #USDEUR Following are the insights for next trading month starting July-1-2023 There are 629 months of historical data available. USDEUR closed at 0.916321 on june-30-2023 There is 53.41% probability of USDEUR closing lower than the close of June 2023.  There is 46.59 % probability of USDEUR closing higher than the close of June 2023. #USD EUR Disclaimer - This is not a investment or trading advice / recommendation. It does not look at Technical Analysis or Fundamental Analysis. This post is for information purpose only.  The higher probability percentage does not guarantee the actual outcome to be matching with that of predicted outcome. FAQ - https://niftyprobabilityinsights.blogspot.com/2023/07/faq-on-probability-analysis.html

World Stock Market Indexes Ranking compared to their Life Time High (LTH) as on July-10-2023

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 World Stock Market Indexes Ranking compared to their Life Time High (LTH) as on July-10-2023 Most of the world stock markets move in tandem. However, the pace of their momentum varies. Below is the ranking as on July-10-2023 comparing their current values with their life time high. If an Index is nearer to its LTH then it is placed on higher ranking.  #Nifty #NiftyBank #BankNifty #DowJones #SPX #NDX #SP500 #Nasdaq100 #DAX #FTSE #Nikkei #Hangseng #ShanghaiComposite #CAC #KOSPI

AMAZON (AMZN) (WEEKLY) Outlook Probability Insights based on past Data Patterns for week starting July-10-2023

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AMAZON (AMZN) (WEEKLY) Outlook Probability Insights based on past Data Patterns for week starting July-10-2023 Review of previous week ending on July-7-2023 AMZN ended the week at 129.78 There was 50:50 probability of it moving higher or lower. It closed -0.44% lower compared to previous week close. Last week post can be found in below URL https://niftyprobabilityinsights.blogspot.com/2023/07/AMZN030723.html Following are the insights for next trading week starting July-10-2023 Overall Data It has historical data for 1365 weeks.  There are 7 weeks in past with similar data pattern with that matching of Previous week close.  Positive Data 3 out of 7 weeks had a positive close with Average weekly close of 1.46% while minimum close was 0.79% and maximum close was 2.03% compared to the previous week close.  Probability of positive close for next week is 42.85% Negative Data 4 out of 7 weeks had a negative close with Average wee

NVIDIA (NVDA) (WEEKLY) Outlook Probability Insights based on past Data Patterns for week starting July-10-2023

NVIDIA (NVDA) (WEEKLY) Outlook Probability Insights based on past Data Patterns for week starting July-10-2023 Review of previous week ending on July-7-2023 NVDA  ended the week at 425.04 There was 52% probability of it moving higher. It closed 0.47% higher compared to previous week close. Last week post can be found in below URL https://niftyprobabilityinsights.blogspot.com/2023/07/NVDA030723.html Following are the insights for next trading week starting July-10-2023 Overall Data It has historical data for 1277 weeks.  There are 43 weeks in past with similar data pattern with that matching of Previous week close.  Positive Data 23 out of 43 weeks had a positive close with Average weekly close of 6.59% while minimum close was 0.14 % and maximum close was 50.04% compared to the previous week close.  Probability of positive close for next week is 53.48% Negative Data 20 out of 43 weeks had a negative close with Average weekly

Microsoft (MSFT) (WEEKLY) Outlook Probability Insights based on past Data Patterns for week starting July-10-2023

Microsoft (MSFT) (WEEKLY) Outlook Probability Insights based on past Data Patterns for week starting July-10-2023 Review of previous week ending on July-7-2023 MSFT ended the week at 337.22 There was 53% probability of it moving higher. However, it closed -0.98 compared to previous week close. Last week post can be found in below URL https://niftyprobabilityinsights.blogspot.com/2023/07/MSFT030723.html Following are the insights for next trading week starting July-10-2023 Overall Data It has historical data for 1948 weeks.  There are 89 weeks in past with similar data pattern with that matching of Previous week close.  Positive Data 48 out of 89 weeks had a positive close with Average weekly close of 3.53% while minimum close was 0.13 % and maximum close was 16.79% compared to the previous week close.  Probability of positive close for next week is 53.94% Negative Data 33 out of 89 weeks had a negati