python

What is a neural network and how does it work? How can you create a neural network with the famous Python programming language? In this tutorial, learn the concept of neural networks, their work, and their applications along with Python in trading.

For all the Options lover here is a guide to Option’s long strangle strategy with an easy to follow example. You can also learn how to design a payoff chart for this strategy using Python Programming.

The Iron Condor options trading strategy is a combination of the bull put spread options trading strategy and bear call spread options trading strategy.

Broken Wing Butterfly is the same as a Butterfly Spread wherein the sold spread is typically wider spread than the purchased spread. Read all about it here.

This article explains the creation and execution of a Jade Lizard Strategy. Jade Lizard is a neutral or bullish and custom trading strategy.

Learn implementation, analysis, and optimisation techniques for straddle options trading strategy through Python. Elevate your trading skills with practical insights and Python application with a straddle option strategy.

Read how Adarsh Kumar transitioned from a commerce background to algorithmic trading through EPAT. See how he built skills in Python, trading strategies, and quantitative research before working on HFT models.

10 Python One-Liners to Optimize Your Machine Learning Pipelines This tutorial will focus on ten practical one-liners that leverage the power of libraries like Scikit-learn and Pandas to help streamline your machine learning workflows. Image by Author | ChatGPT # Introduction When it comes to machine learning, efficiency is key. Writing clean, readable, and concise code not only speeds up develop…

Data Analytics Internship GE Appliances About the Internship The Intern will be working on Python scripting for automation of data, Machine Learning (Training the data for automating), building user interface to access SQL database. Skill(s) required Python Programming: Advanced proficiency in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, NLTK or SpaCy, OpenAI, […] The…

I used Mathematica to create the graphics for my previous two posts because SciPy didn’t have the functions I needed. In particular, elliptic integrals and elliptic functions in SciPy only take real-valued arguments, but I needed to use complex arguments. Also, I needed theta functions, which are not in SciPy at all. I thought mpmath […] The post Elliptic functions of a complex argument in Python…

By Devang Singh In this article, you will learn about the origin and implications of Volatility Smile. You will also see how to plot the volatility smile curve in Python. To start with, we will understand the concept of Volatility Smile by analyzing the assumption in Black Scholes Model (BSM), that the underlying’s daily returns are lognormally distributed. Black Scholes Model - Lognormal Assumpt…

We have told you why Python is one of the preferred languages to do algo trading in this article. We have also told you about programmatic trading in India. We also had a successful webinar on Trading in Indian Markets using Python (Click here to watch the webinar), we ought to give you a prelude to the trading platform which will enable you to implement your algorithmic trading strategies in pyt…

I had a fun little project a while back, to deal with some night noise that was getting in the way of my sleep. Active noise reduction, hacked together in Python. It really works (for me)! There is tons of … Continue reading →