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    The penetration of cryptocurrency for commercial purposes is limited to singular episodes in each category but the usage for trading has gained substantial popularity. Macro and micro variables that impact the price movement for cryptocurrency are highly...

    The penetration of cryptocurrency for commercial purposes is limited to singular episodes in each category but the usage for trading has gained substantial popularity. Macro and micro variables that impact the price movement for cryptocurrency are highly volatile and so are price fluctuations. The fact makes cryptocurrency a very lucrative option for intra-day and high-frequency traders. (read more)

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      Have you ever been at the risk of a layoff for want of better skilled, technologically enhanced workforce? What did you do then?Those from an MBA-Finance background evidently aspired to master their chosen field of work. Choosing to go for an MBA in finan...

      Have you ever been at the risk of a layoff for want of better skilled, technologically enhanced workforce? What did you do then?

      Those from an MBA-Finance background evidently aspired to master their chosen field of work. Choosing to go for an MBA in finance would mean you are good at numbers, strategies, and money-making in general.

      But what if, after certain years of work and excellence at it, you feel saturated again?

      Either situation, an expected threat of layoff or a saturation from existing profile, both need a career upgrade.

      Considering to upgrade your knowledge and career options?

      Become a Quant. (read more)

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        What is ‘beta’?The volatility that a benchmark portfolio (S&P 500 index) or a market portfolio exhibits is known as systematic risk. Beta is the historical measure of risk of any individual stock or portfolio against the risk of the market portfolio....

        What is ‘beta’?

        The volatility that a benchmark portfolio (S&P 500 index) or a market portfolio exhibits is known as systematic risk. Beta is the historical measure of risk of any individual stock or portfolio against the risk of the market portfolio. In other words, it measures the volatility of any security with respect to the overall market volatility. Let us consider the following example to understand beta intuitively.

        Consider the daily returns of Google Inc. If it is said the beta of the Google stock is 1.5, then it means that the Google is 50% more volatile than the market. So if the intraday return of the market is a positive 10%, then the intraday return on Google stock would be 15%. In other words, the returns on the Google stock will outperform the market by 50% and the alpha on Google would be 5%. Now, if the market declines by 5%, then Google will decline by 7.5% or 50% more than the market. Google’s change in the market value is multiplied by its beta to estimate its... (read more)

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          It’s been some time since you’ve been thinking of making more money out of your successful trading strategy. And why should you not? After all, you’ve worked hard for it and there is only a small % of people who are successful in this business. The idea i...

          It’s been some time since you’ve been thinking of making more money out of your successful trading strategy. And why should you not? After all, you’ve worked hard for it and there is only a small % of people who are successful in this business. The idea is to add more funds to your trading strategy and get more profits.

          So how do you go about finding more money? Do you ask your family, your friends or VCs? Well, you can do that but it’s slightly more complicated than that. I will try to cover the various options, their intricate nature and all the things you would need apart from your trading strategy to make someone finance your trading. (read more)

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            There are many types ML algorithms, and some of the higher-level problems they are used to solve include: regression, classification, and prediction. The open source movement has provided many free ML tools, and I have found Python to be a great language...

            There are many types ML algorithms, and some of the higher-level problems they are used to solve include: regression, classification, and prediction. The open source movement has provided many free ML tools, and I have found Python to be a great language to use (read more)

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              In this article, you will intuitively understand three Options pricing models. At the end of the post, we will also look at a Python library used to implement the Black Scholes model. Let us begin by understanding why options have value and what could be...

              In this article, you will intuitively understand three Options pricing models. At the end of the post, we will also look at a Python library used to implement the Black Scholes model. Let us begin by understanding why options have value and what could be an intuitive way to understand how to compute this value. (read more)

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                The strategy in this blog will cover no normal technical indicators, but some of my own creation. Also, we will see the difference between strategy performance on test and train data along with respect to the changes in the size of the train data and the...

                The strategy in this blog will cover no normal technical indicators, but some of my own creation. Also, we will see the difference between strategy performance on test and train data along with respect to the changes in the size of the train data and the prediction length. (read more)

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                  Time series data is simply a collection of observations generated over time. For example, the speed of a race car at each second, daily temperature, weekly sales figures, stock returns per minute, etc. In the financial markets, a time series tracks the mo...

                  Time series data is simply a collection of observations generated over time. For example, the speed of a race car at each second, daily temperature, weekly sales figures, stock returns per minute, etc. In the financial markets, a time series tracks the movement of specific data points, such as a security’s price over a specified period of time, with data points recorded at regular intervals. (read more)

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                    The core of the turtle trading strategy is to take a position on futures on a 55-day breakout. A 55-day breakout is when the price exceeds high or low of past 55 days price. The full strategy is more complex, ...(read more)

                    The core of the turtle trading strategy is to take a position on futures on a 55-day breakout. A 55-day breakout is when the price exceeds high or low of past 55 days price. The full strategy is more complex, ...(read more)

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