Learn all about Deep Learning, Models, Applications in finance and Future. Get a general overview of Deep Learning and its use in finance....
In this post, we will learn about Markov Model and review two of the best known Markov models namely the Markov Chains, and the Hidden Markov Model (HMM)....
Plotly python library creates interactive diagrams like Scatter plot, line charts, OHLC and Contour charts etc. Installation and python codes are covered here....
How an AVP analyst learned quant trading to manage risks and started creating his own strategies in short selling....
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....
Alpaca Markets and QuantInsti bring you the Algo Trading Challenge 2020 where one competes with a winning systematic trading strategy for US stocks markets and carry out paper trading using Alpaca on Blueshift....
Impact of Covid-19 on Trading. Read about the crash in Stock market, trading strategies for Coronavirus, Future estimation. Major historical crisis in the past....
Linear regression models, regularization, its examples (Ridge, Lasso and Elastic Net regularizations) and how they can be implemented in Python using the scikit learn library - are all covered 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....
Learn about Time Series Data Analysis and its applications in Python. Learn types, components, decomposing, forecasting, calculating, plotting and validating Time Series....