U-turn in advantaged criteria

Today I wish to talk about advantaged criteria and the discipline needed to accustom those criteria. It is a relatively small set of people who understand differences between advantaged criteria and accustomed criteria in the stock market. Advantaged criteria are a set of agnostic dialogues that happen in traditional market yards. Let us say you go and visit a market yard. Where do you find the best product is the first dialogue that happens based on your personality type. Then how do you possess it, what advantages or disadvantages of buying it? Does it requires enough cash balance, or does it worth buying? Can I afford it or speaking for advice from someone near or far by asking suggestions then trying to relate the buying experience with the past buying experience. Do you see what I am saying? When you are in the market yard, you have different options to buy from, and you have to choose your buying patterns based on suggested thoughts or experience. This is known as accustomed criteria. So 90 percent of people who buy always try to relate the experience, usage, or value they possess.
Now say you chart the buying patterns of an individual in an excel sheet for the past few years. You will understand a common point. Why did they buy a specific product or useful entity repeatedly over time with probably few exceptions? What are the drives to buy? This information brings quality to order confirmation. It is not right or wrong; everything is acceptable. But I am trying to explain differences between advantaged criteria and accustomed criteria using excel.
There are innumerable ways to plot charts, and the best way is to excel. Now, coming back if you see bottlenecks as I have seen in my life patterns with minimal data. I understood there is a bottleneck in those patterns of buying. The first bottleneck to the charts I saw in my life is I buy repetitive products often due to bad decisive conditions. Those conditions I identified using excel sheet as data is limited because I captured fewer data in my life till now. My observation is I tend to buy a product based on high average prices for a consumer product and groceries. When I compared excel sheet data in the past averages from the internet. I understood the shopkeepers where I bought the average daily entitlements the sold or purchase value is 5-6 percent higher than the accustomed value. So this price of overall extra digits is based on wrong criteria or enveloped biased theories. So, I could say from what I understood that the book value for the product is far lower than the actual price sold. I understood through the excel denomination, which I constructed just now, that I got a price that is adjusted to a higher margin every time I am buying. It is not to fight with logos, but it is just how excel can improve your life to understand the precautionary leakages in the quality and not a compromised price. This is just learning from IIMA, which I have done and conceptualized to my requirement. Not saying more accustomed criteria and advantaged criteria are the differences in actual from what is sold to what is worth in similar markets. The differences are significant when you have reliable budgets and you look to save every penny so that you accumulate long-term rewards.
Thank you
Karnati Kiran
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