NLTK is a popular python package for working on Natural Language Data. Learn some of its most used tools to preprocess political news twitter dataset and create a Sentiment Analysis model....
A martingale strategy tells us that we should double our bet size after every loss. Read on how it helps in trading, as well as code it in Python. Also learn about anti-martingale....
VADER helps us to decode and quantify the emotions contained in media such as text, audio or video. Learn how to implement VADER sentiment analysis in your trading strategy....
Python itertools is used to implement an iterator in a for loop. Itertools functions such as permutations, combinations, combinations_with_replacement and many more are explained here....
Black Scholes Model computes the options price given the Exercise Price, Underlying Stock Price and its Volatility as well as Days to Expiry. We will see the Black Scholes formula, assumptions and Python implementation....
Plotly python library creates interactive diagrams like Scatter plot, line charts, OHLC and Contour charts etc. Installation and python codes are covered here....
Exploratory Data Analysis helps us become familiar with the data we are using to solve the problem statements by using various tools and methods. Today, we look at histograms, scatterplots, box-plots and more in this blog....
Random walk describes a path taken by an object which is seemingly random, or unpredictable. We will see what is a simple random walk and create a simulation for the closing price of a stock....
Short selling is when you borrow and sell a stock which you do not own, making sure you return the stock later by buying at a lower price. Today we talk about its risks and rewards with the help of examples....
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