I have tested in real-time the implementation coded with Python of a famous mathematical technics to predict market movement (Bollinger Band) to check the gap between theory and reality. And here is the result.
Before to get started, let’s take a quick look at what we have covered during the previous articles. If you have not read my previous articles, you should cover these articles first. To get more details on how to draw Bollinger Bands and to get live market data with your…
Data science
R, SQL, Python, Ruby. As a data scientist, what if Game of Thrones characters were programming languages?
First of all, I want to thank you. The first article has skyrocketed on Medium and Twitter (more than 15k views and 350 claps). I am grateful for it. I want to thank you all for the support. As promised, here the second part.
Let’s go back on what we…
Python for Traders and Crypto-Traders
How I used a machine-learning algorithm used by Netflix to increase my winning trade rate by 22.0713% — Part 3
This article is the third part of a series of articles and videos on how to use Machine Learning and AI for Algorithmic Trading.
The model covered during this series has been improved over the last six months and is currently used for my trading robot. It is a model…
In this article, you will learn how to download in live time, and in one shot, the full data for any indices.
This article is not a financial recommendation but a step-by-step tutorial to getting financial and economic data for data science projects or other purposes.
Note that the computation and calculation time will depend on your computer characteristics. …
Python for Traders — Storytime
A walk-through of a misknown machine learning algorithm used by Netflix to trade like a high-frequency trader.
This article is the second part of this A to Z tutorial on how to use machine learning and AI to develop a trading model.
Today, in this article, we will cover the second part of the article on how to use math to boost your trading performances. Part 2/3
…
Python for Traders & Crypto — Story Time
Python for Trading — How I Used Classification Algorithms to Enhance My Winning Rate By 22.4% Easily
A walk-through of a misknown machine learning algorithm used by Netflix, to increase the robustness of my technical analysis and trade like a high-frequency trader.
Due to the length of the article and the content’s density, I chose to divide this article into two parts. The second part will be released in 5 days. In this first part, we will go through the two first steps needed to develop this algorithm. Enjoy!
This article will…
This article will walk you through the top 7 programming languages you should follow to SUPER BOOST your CV in 2022, according to PYPL index.
Six months to go before the end of the year and if you are starting with programming and data science, choosing the right programming language to start with can be challenging.
Indeed, the growing demand in the industry can make it confusing and finding the one which will suit your…
Coding & Productivity
Along with this article, my story on how I created my newsreader assistant using Python. Full code + video tutorial shared.
Scrolling, scrolling, scrolling …
Last Sunday, I felt a bit down, I couldn't put a word on what was happening, but that was there. I jumped on my sofa and continued my non-productive activity. And start asking myself what was wrong with me.
A few hours later, I got my usual weekly phone habits…
Python for Trading
If you got stuck when the standard way to get financial data for analysing the market is not enough, here is an alternative using a broker API. Full video tutorial at the end.
In this article, we will cover what is, from my perspective, the most reliable way to get cryptocurrency data. Two weeks ago, this question popped up when one of my students wanted to analyze some altcoins through the volume traded. …
Python for Traders
Using the Golden Line algorithm, I predicted Bitcoin, Ripple, Ethereum & Dogecoin price evolutions. Full Python code shared.
This article is going to be slightly different than usual. For people following me for a few months either on Medium or Youtube, you have seen different articles or videos on which I am using mathematics, science, and probability to help predict the market.
Lately, I started getting interested in…
Sajid Lhessani
Data scientist working in Banking and Capital market. London Based. Follow me on Youtube: https://www.youtube.com/c/AlgorithmicTradingbySajid
