The general terms of use of the FTI app : https://play.google.com/store/apps/details?id=com.hstrading.fti

Run SMA backtesting in Java

Two applications to load data (financial analysis or polling) into a Python script to print summary data tables in text files.

The cybersecurity leadership maturity for a company defines how it responds to cybersecurity threats and issues. The higher the maturity state, the stronger the company is in the cybersecurity front. This paper attempts to find whether there is a correlation between this business maturity and cybersecurity table-top exercises.

The ultimate group project that will take our WAM to the moon and beyond!

Development fork of Pandas-TA for upstream submission, PRs. Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

Студенческие работы в рамках прохождение курсов в Финансовом университете при Правительстве РФ на направление "Прикладная информатика".

A finance calculator still a work in progress.

A full-stack application for people that want to build positive financial habits by tracking their expenses.

Python financial analysis of company profit/loss records.

This app helps you determine the fund with the most investment potential based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, beta, etc.

Hi, I'm Irbaz a professional qualification student and it is my financial analysis portfolio.

Calculate loan amortization from the terminal, yields results as Html file with JS charts

Analysis of fund portfolios and the S&P 500 to identify ideal portfolios for a firm's suite of fund offerings.

This repository presents an algorithm for analyzing financial instruments based on the correlation coefficient. The algorithm allows to calculate the degree of the relationship.

Financial Markets AI that gives real-time financial market analysis, metrics, and can perform hypothesis testing; written on a Asp.NET, EC2, RDS stack.

Using Python to analyse distinct datasets. Through financial analysis, we aim to extract essential metrics like total months, net "Profit/Losses," average changes, and significant profit fluctuations. Through election analysis, we aim to extract total votes, candidates' performance percentages and counts, revealing the winner by popular vote.

This finance project aimed to use data science and machine learning techniques to analyze and predict stock prices.