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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

Predictive Analytics and Trading Strategy

Have you ever seen a car that is driving slow and flashing the lights to signal it intends to take a turn but continues in Straight direction? I have seen such instances where probably driver is in some thoughts and has not realised the signal it is giving and direction it is driving. Would you believe if I tell you that Market also behaves like this? It gives a signal that it intends to turn around but continues to go in straight direction? I had come across such behavior on 7-Jan-2021 when Nifty was near 14050 and gave a signal that it will turn around but continued to go upward till 14600+ levels. It continued to give turn around signal every day till 20-Jan-2021 when it actually turned around and went to lows below 13700. At that time I concluded something is wrong with the way I have been calculating and I discarded the approach. Over a period I realized that the market (Operator) will not reward majority of the people. It will make majority of traders bullish before it turns arou

Predictive Analytics for predicting Market direction and levels

 Predictive Analytics for predicting Market direction and levels  if you want to judge the direction of a Car, the speed and gears could provide some judgement. Any car running at 3rd gear onwards is likely to continue in the direction it is going. Higher the gear and speed, further the destination. It will want to be in first gear for making a tight U-turn or second gear if turning is particularly wide. Predictive Analytics does exactly the same to identify different parameters based on the market data to predict the direction and levels of the market. #stockmarket #predictiveanalytics #prediction #trading

Predictive Analytics for identifying Support and Resistance levels

“Two things that are important for the journey are (1) Don’t miss the right Bus (2) Get down at right Bus stop. If you miss either of them, you will not reach your destination”. – Yours truly. Support and Resistance levels plays an important role to help investors in identifying Entry, Exit, Stop Loss, trend and the price range of the stocks. If an Investor does not have proper insights of these levels they will either miss the Bus or miss the Bus stop. Many Investors relates and identifies these levels with round numbers in multiple of 100, 500 etc. For high beta stocks and index like BankNifty, it could be in multiple of 1000. e.g. If Spot Nifty Index is at 19200 then generally people will refer the range to be 19000 to 19500 etc. These round numbers are more of psychological levels rather than actual levels. Each stock has its own foot prints and patterns. Analyzing historical price data of each stock using Predictive Analytics provides a good insight in identifying the levels. Anot

Markets Early warning system update for the month ending August 2023.

  An Early Warning System is a system which allows one to know in advance of upcoming events with its severity that is on its way, and informs how anyone can act to minimize the impending impacts.  After January 2008 markets fall, I had analyzed the monthly data of preceding six months (July 2007 to December 2007) of various asset classes to know if it was possible to know in advance of upcoming market falls. I make sure at the end of every calendar month to analyze, how does the preceding six months picture look like? especially when everyone is also talking of if and when the recession is expected? My analysis from March 2023 to August 2023 shows 19% similarity compared to 100% at the time of July 2007 to December 2007. As of now most of the world stock markets are moving forward, It needs to be seen if this 19% similarity points towards mild correction or not?

Zero days to expiry for September 6, 2023 - S&P 500 (#SPX $SPX #SPY $SPY #0DTE) daily probability insights

Zero days to expiry for September 6, 2023 -  S&P 500 (#SPX $SPX #SPY $SPY #0DTE) daily probability insights Patterns based Probability Prediction: Normally any binary prediction will have 50:50 probability, be it flipping a coin or be it predicting whether a market will close higher or lower compared to its previous close. An edge can be gained if one is able to make correct prediction which is > 50% S&P 500 (#SPX $SPX) is one of the largest traded index in terms of volume and turnover. The purpose of this post is to provide daily probability insights based on the patterns. It provides information on whether next trading day close will be higher or lower compared to its previous day's trading day close. This could be of interest to traders looking for second opinion on top of their analysis and are trading in SPX, specifically 0DTE (zero day to expiry) trades Please refer the disclaimer in the end of the article. S&P 500 is being traded since 1789. As on close of tra

Zero days to expiry for September 5, 2023 - S&P 500 (#SPX $SPX #SPY $SPY #0DTE) daily probability insights

Zero days to expiry for September 5, 2023 -  S&P 500 (#SPX $SPX #SPY $SPY #0DTE) daily probability insights Patterns based Probability Prediction: Normally any binary prediction will have 50:50 probability, be it flipping a coin or be it predicting whether a market will close higher or lower compared to its previous close. An edge can be gained if one is able to make correct prediction which is > 50% S&P 500 (#SPX $SPX) is one of the largest traded index in terms of volume and turnover. The purpose of this post is to provide daily probability insights based on the patterns. It provides information on whether next trading day close will be higher or lower compared to its previous day's trading day close. This could be of interest to traders looking for second opinion on top of their analysis and are trading in SPX, specifically 0DTE (zero day to expiry) trades Please refer the disclaimer in the end of the article. S&P 500 is being traded since 1789. As on close of tra

When to buy long-term equity anticipation securities (LEAPS) put options ?

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 When to buy long-term equity anticipation securities (LEAPS) put options ? “What goes Up, must come down” Sir Isaac Newton.  However, there will always be uncertainties on when markets would fall and when to buy put options. Analysis of historical price data can be one such path to know answers to these questions. SPX (S&P 500) has been trading since 1789 and has more than 39000 trading days of historical price data. The best time to check is when market creates all time high (ATH).   When ATH gets created, Markets would either move on to create few more ATH and/or would top out.  Analyzing the past data has shown SPX gradually falls maximum 21.7% from ATH during distribution phase, SPX created ATH of 4818.62 on Jan 4, 2022. Either SPX can create new high from there or it may gradually fall 21% to reach 3773.51 levels. Since far out of the money (OTM LEAPS Puts) with expiry in next few years would be much cheaper, the best time to buy those puts when market creates ATH.  If Ma