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Name: Aidana Bekboeva
Type: User
Bio: Graduate Student at Stevens Institute Of Technology, currently pursuing my MS in Financial Analytics with a concentration in Algorithmic Trading Strategies
Name: Aidana Bekboeva
Type: User
Bio: Graduate Student at Stevens Institute Of Technology, currently pursuing my MS in Financial Analytics with a concentration in Algorithmic Trading Strategies
This project provides an implementation of the American Option pricing model using Binomial Trees. American Options offer the unique feature of being exercisable at any time prior to expiration, adding complexity to the pricing process.
This project provides hands-on experience in data handling, cleaning, exploration, and visualization using R. By delving into both real estate and ad click datasets, participants gain insights into user behavior, website usability, and advertising trends.
This project showcases a comprehensive application of financial analytics concepts, portfolio optimization techniques, and statistical software in the R programming language and Microsoft Excel
This project involves exploratory data analysis and predictive modeling using various statistical and machine learning techniques. In the financial domain, we analyze the Weekly dataset, containing weekly returns spanning two decades. We aim to identify patterns and trends in the data, perform logistic regression, and compare different classificati
This project involves forecasting the price direction of public US companies' market index (VTI) using the Fama-French Five-Factor Model. The dataset includes VTI's daily returns and various factors. The project involves data preprocessing, exploratory data analysis, and building forecasting models.
This project employed multiple machine learning models including Logistic Regression, Decision Trees, Bagging, Random Forest, and Ada Boost, to predict loan sizes for small businesses. The dataset utilized is sourced from the U.S. SBA, an organization that supports and encourages small enterprises in the U.S. credit market
The project involves a series of assignments and a final exam that require using PostgreSQL to perform various data manipulation and analysis tasks.
In this completed project, tick-level trading data was analyzed using R programming using the dataset, "sampleTQdata.RData". This project offers a practical understanding of working with tick-level trading data and applying diverse methods to ascertain trade direction, encompassing tick tests and the Lee-Ready rule
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.