Python For Trading

Are you new to Algo trading? Confused about how to start, where to start? If you want to develop your first Algo, what are the stages you have to go through, there is limited information on this. I will try to explain this by taking a real trading strategy....

In this article on the K-means machine learning algorithm, we will understand how it works and its importance in the world of statistical arbitrage trading. We will also develop and code a Statarb strategy using the K-means algorithm....

In this article on Python Numpy, we will learn the basics of the Python Numpy module including Installing NumPy, NumPy Arrays, Array creation using built-in functions, Random Sampling in NumPy, Array Attributes and Methods, Array Manipulation, Array Indexing and Iterating....

This article talks about how one can treat python exception properly to prevent our code from ending its execution abruptly....

This article reviews aspects of Python error, error interpretation and error resolution and how to understand and handle them in Python programming language....

Your guide to learning Calendar Spread - a part of the family of option spreads. The Calendar Spread Options Trading Strategy can be created with either all calls or all puts....

A tool that will help you solve the problem of getting free daily and intraday historical stock prices from 20+ Stock Exchanges, including SSE, BSE and NSE....

This article illustrates basic operations that can be performed on stock data using Python to analyze and build algorithmic trading strategies. We run through some basic operations that can be performed on a stock data using Python and we start by reading the stock data from a CSV file....

Python Data Visualization is one of the key functions of a data scientist and decoding the visual messages is of primary importance to the algo trader....

Learn importing and backtesting on Zipline using data from Google and OHLC data in CSV format. Calculate backtesting results such as PnL, number of trades, etc...