A walk-through of how to plot option payoff diagrams using opstrat package in python
Introduction
An option is a derivative, a contract that gives the buyer the right, but not the obligation, to buy or sell the underlying asset by a certain date (expiration date) at a specified price (strike price).
There are two types of options: calls and puts. Traders can construct option strategies ranging from buying or selling a single option to very complex ones that involve multiple simultaneous option positions.
Option payoff diagrams are profit and loss charts that show the risk/reward profile of an option or combination of options. …
How to obtain stock market data and create visualizations(candlestick, OHLC, PnF etc.) in Python using mplfinance library
Mplfinance is a dedicated data visulization package from matlplotlib for visualizing financial data.
Mplfinance enable visualization of financial data in the form of different types of charts- Candlestick chart, Renko Chart, OHLC chart, Point and Figure chart etc. with very few lines of code.
Mplfinance also facilitates superimposing moving averages on top of charts for decision making by technical analysts.
Getting the data
Typical market data includes OHLCV(Open High Low Close Volume) data. The data can be obtained by using the sites of stock exchanges, financial publications, APIs, web-scrapping etc.
Mplfinace package can be used to plot any dataframe provided the following conditions…
A data driven approach to identify the best replacement for the injured Liverpool Center Back Virgil Van Dijk
TL;DR
In this article, we scout for the best alternative for the injured Reds defender Virgil Van Dijk.
The steps involved in the process is as follows:
Data Collection:
All relevant player stats are collected from fbref.com
KPI Generation:
Key Performance indicators are created for evaluation of players
Data Wrangling:
Data cleansing and feature engineering are performed
Finding the Players most Similar to VVD:
Players with KPIs similar to VVD can be found using proximity measures
Conclusion:
Commenting on the findings of the excercise
Introduction
Virgil van Dijk is arguably the most important player for the Reds. Since his arrival at Anfield…
Python
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How to Add Text Labels to Scatterplot in Python (Matplotlib/Seaborn)
What is Quadrant Analysis & How to do it in Python
5 Methods to Check for NaN values in in Python
Yahoo! Finance Tutorial
Medium
Data Visualization
COVID-19 Bar Race Chart Using Flourish
Stock Market Visualization Using Mplfinance
Football
General
xG xPlained!
How to Find the Best Replacement for VVD Using Data Science
EPL Analysis and Prediction Season 2020/21
EPL Analysis and GW 25 Prediction EPL Analysis and GW 24 Prediction EPL Analysis and Gameweek 23 Prediction EPL Analysis and Gameweek 22 Prediction EPL Analysis and…
A data-driven attempt in predicting English Premier League results using xG Statistics
This is an article on my EPL Prediction series. You can check out the prediction for Game Week 31 and how it fared against the actual performance here.
Expected Goals or xG is the parameter used for prediction. If you are interested in understanding the algorithm for prediction, I recommend that you check out this article where it is explained in detail.
Analysis up to Game-week 31
In Game-week 31, Leeds United ended Man City’s 24 match unbeaten run in the League despite Cooper receiving an early red card. Man City is still at the top of the table with 74 points.They …
A data-driven attempt in predicting English Premier League results using xG Statistics
This is an article on my EPL Prediction series. You can check out the prediction for Game Week 30 and how it fared against the actual performance here.
Expected Goals or xG is the parameter used for prediction. If you are interested in understanding the algorithm for prediction, I recommend that you check out this article where it is explained in detail.
Analysis up to Game-week 31
After Game-week 30 Man City is on top of the table with 74 points,14 points clear of their city rivals. Manchester United is in the second position with 60 points. Leicester City who lost their home match vs…
Walk-through on how to obtain free football event data from StatsBomb using statsbombpy package
Introduction
There are thousands for football fans who are also interested in data analytics. Twitter, YouTube, Medium etc. explodes with state of the art analysis of matches and teams after every match. While it is easy to get quantitative data for matches, players or seasons etc. Getting the event data and doing analysis with event data is a completely different.
What is event data?
Event data can be considered as a back up of the entire game, it records every move on the pitch during the match. …
A data-driven attempt in predicting English Premier League results using xG Statistics
This is an article on my EPL Prediction series. You can check out the prediction for Game Week 29 and how it fared against the actual performance here.
Expected Goals or xG is the parameter used for prediction. If you are interested in understanding the algorithm for prediction, I recommend that you check out this article where it is explained in detail.
Analysis up to Game-week 29
Game-week 29, featured only 4 games with 12 teams having no fixtures. All top for teams blanked in the game-week, however, the top 4 positions remains unchanged after GW29.
After Game-week 29 Man City is on top of…
A data-driven attempt in predicting English Premier League results using xG Statistics
This is an article on my EPL Prediction series. You can check out the prediction for Game Week 28 and how it fared against the actual performance here.
Expected Goals or xG is the parameter used for prediction. If you are interested in understanding the algorithm for prediction, I recommend that you check out this article where it is explained in detail.
Analysis up to Game-week 28
Gameweek 28 did not offer any surprises at the top and bottom 3 in the table. Top 3 teams won their matches whereas the teams in the relegation zone lost their matches. After Gameweek 28 Man City is…
A data driven attempt in predicting English Premier League results using xG Statistics
This is an article on my EPL Prediction series. You can check out the prediction for Game Week 26 and how it fared against the actual performance here.
The predictions for the latest Game Week is below
Expected Goals or xG is the parameter used for prediction. If you are interested in understanding the algorithm for prediction, I recommend that you check out this article where it is explained in detail.
Analysis up to Game-week 27
The Premier League seems to be very interesting at the moment. As Klopp said, it appears that City is running away with the title. However the competition is very…
Abhijith Chandradas
Carpe Diem!
