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What is CodeX?

CodeX is a medium publication that aims at providing top-notch content based on technology & coding.

We expect articles in the categories of computer science, innovative technology, programming, coding & engineering concepts, personal experience in tech or coding, tech in major fields (like Healthcare, education, and so on).

Points to remember

  • Make sure that your article is a grammatical-error-free article (highly recommended to use Grammarly or its chrome extension).
  • Ensure that you have the rights to use the images that are posted on your article (Image source must be cited below the image). It is an essential step to avoid copyright issues.
  • There…

Efficient indicators that are necessary to trade the market successfully with its implementation in Python

Photo by Rostislav Uzunov from Pexels

The market is strangled itself with tons and tons of technical indicators and it’s gonna be a nightmare for a beginner trader to choose the right one. Since I spent a pretty good amount of time roaming around these indicators and implementing them in the market, I decided to create a list of the top 3 best-performing indicators along with their implementation in Python to help out the beginners with a great kickstart into the technical analysis realm. Without further ado, let’s dive into the article!

Note: The upcoming indicators are not randomly chosen but picked based on the results…

Extract basic stock information to advanced technical indicators seamlessly

Photo by Alex wong on Unsplash

Technical indicators are very intriguing and never fail to grab my attention. I study vigorously about them and I got to know that the important part of studying technical indicators are applying them to the real-world market but before proceeding with that, we need to do something called backtesting which is nothing but the process of identifying a strategy’s performance by testing it on the past historical data.

Now to conduct backtesting processes, several platforms are there but I couldn’t find the flexibility I need. …

A hands-on guide to creating an unconventional trading strategy by combining multiple indicators in Python

Photo by Anas Alshanti on Unsplash

The trading arena is being flooded with a massive amount of people aiming to make a fortune out of the stock market. So to make yourself stand out of this huge crowd and hold a strong edge on the market, it is essential to innovate new ideas that are unconventional and not utilized in general. For example, since the introduction of the technical indicators, almost everyone has started using them but to be successful it is necessary to be creative with them rather than going with the traditional strategies. That’s exactly what we are going to do today.

In this…

A detailed case study on using python to combine two technical indicators and create a killer trading strategy

Photo by Jp Valery on Unsplash (Edited by Author)

Technical indicators are the new-common in the trading arena and it is worth the time to study those. Though it has greater potential in analyzing the market, one should definitely consider its drawbacks too. There aren’t many but one notable snag is its nature of revealing false signals which can lead to catastrophic results when followed. It is tough to avoid such signals but are not inevitable and one of the best ways of doing so is to combine two technical indicators where one indicator acts as a filter that classifies the authentic signals from the false ones. …

Let’s find out the answer with Python

Photo by Sajad Nori on Unsplash

The use of technical indicators has never plunged over time but making a profit using those is uncertain due to one of its main drawbacks which are revealing false trading signals. This is much worse than you think because you might tend to enter the market at the wrong time by following these signals and face heavy losses. But this doesn't mean technical indicators are obsolete. We just have to change some ways on how we use it. …

A detailed guide to boosting the strategy performance by consolidating three powerful indicators

Photo by JJ Ying on Unsplash

Each of the indicators Bollinger Bands, Keltner Channel, and Relative Strength Index are unique in nature and powerful when used individually. But what if we try to combine all these three indicators and create one effective trading strategy out of them? The results would be substantial and we could be able to eradicate one of the most common problems associated with using technical indicators which is false signals.

That’s exactly what we aim to do today. In this article, we will first build some basic intuitions on the indicators, then, we will use python to build them from scratch, construct…

Keep yourself updated with the latest technologies in Stock Market and become a pro using Quantra

Photo by Tim Rüßmann on Unsplash


In recent years, the usage of python for diverse reasons has gone a long way ahead and still moving forward with a healthy trend. Let it be healthcare or automotive sectors, python is everywhere, and not to mention, the stock market is no exception. Tons and tons of innovative ideas and applications are enhanced using python to help traders or investors take advantage of the market.

While discussing the conjugation of programming and the stock market, we definitely have to speak about Quantitative Finance. It is an emerging field in the Finance domain that combines programming and finance to make…

A detailed guide to boosting the strategy performance by using two powerful technical indicators

Photo by Michael Dziedzic on Unsplash

Technical indicators are great and effective but all of them never fail to have one specific drawback which is revealing false trading signals and trading stocks accordingly might lead to catastrophic results. To tackle this problem, it is best to introduce two different technical indicators whose characteristics vary from one and another to the trading strategy, and by doing so, we could filter the false trading signals from the authentic ones.

In this article, we will try building a trading strategy with two technical indicators which are Bollinger Bands, and Stochastic Oscillator in Python. We will also backtest the strategy…

Master the most flexible python library to create great-looking financial visualizations

Photo by Luke Chesser on Unsplash


The surge of programming and technology being applied into the field of finance is inevitable, and the growth never seems to be declining. One of the most interesting parts where programming is being applied is the interpretation and visualization of historical or real-time stock data.

Now, to visualize general data in python, modules like matplotlib, seaborn, and so on comes into play but, when it comes to visualizing financial data, Plotly would be the go-to since it provides built-in functions with interactive visuals. …

Nikhil Adithyan

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