returns

sanjeevai/trading-with-momentum

Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable

vishnukanduri/Time-series-analysis-in-Python

I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.

andreasgerstmayr/fava-portfolio-returns

fava-portfolio-returns shows portfolio returns in Fava

fischlerben/Portfolio-Analysis

Stock Portfolio Analysis using Python/Pandas

crankstorn/real-estate-analysis

Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.

TommasoBelluzzo/HFMRD

A framework for detecting misreported returns in hedge funds.

elayden/Deep-Learning-Framework-for-Financial-Time-Series-Prediction-in-Python-Keras

Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown

elayden/portfolio_sortino_ratio

This function optimizes portfolio weights based on a user-specified weighted linear combination of the Sortino ratio, Sharpe ratio, average total return, average downside risk, average standard deviation of returns, and max drawdown.

dotkom/the-notifier-awakens

A new era has begun

gosuddin/machine-learning-for-finance

ML Coursework focused on solving Computational Finance and Risk Assessment models

netresearch/dhl-online-retoure-m1

DHL Online Retoure module for Magento

virusme/Predictive-modelling-using-time-series-data

Simple predictive modelling task using time series data.

abhay-raizada/uip-scrape

A library to run automatically run plugins that extract image links from a site

enso-ui/commercial

messi10goat/Portfolio-construction-and-Analysis-python

This is the repository with codes from the Coursera course by EDHEC business School about "Construction and Analyzing Portfolio using Python Pandas"

MorganBergen/CPP-Fundamentals

Performed base file system operations from the Linux Command Line Enviroment when implementing programs. Derived and employed basic algoritms from given problems Demonstrated basic programming concepts and constructs such as for/while/do-while loops, primative data types i.e. long, short, int, double, strings, char, arrays, pointers, variables, function scope, general debugging techniques, structures, classes, compliation and makefile techniques. Basic functionalities of git

pasadelo/Z-Library-Returns

The Rise of Z-Library: A Comeback to Remember

softcommerceltd/rebound

Magento - ReBOUND Connector

annguyen308/STOCK-ANALYSIS-AAPL-GOOGL-MSFT-TSLA-TWTR-

Using Finance Yahoo to download stock prices data, then employing Python to see how these stocks price changing over last 10 years, comparing risks & returns between those stocks with visualization.

ernestmucheru/Tax-Runner

This is a simple webpage that collects specific user input through forms from clients who need tax filing services. The user input is mailed to the company helping the client to file the taxes and an invoice is generated from the input.

HeyokaBull777/Group_5

Python return analysis of Jim Cramer's stock picks from the onset of the Covid pandemic in comparison to S&P500 returns.

kaylah176/Portfolio_Returns

Objective: Determine which portfolio is performing the best across multiple areas

lazyplayboy/day-04-task

day o4 task

OOP-Shorts/S410-Eine-erste-Methode-mit-Fehler

Die Methode 'bark()' in der 'Dog'-Klasse soll einen String zurückgeben. In diesem String soll "Bark!", zusammen mit dem Namen, der Rasse und dem Alter des Hundes gespeichert werden. In dieser Methode haben sich einige Fehler eingeschlichen, die du beheben sollst. Du sollst dabei nur die 'bark'-Methode ändern, nicht die Inhalte der 'Main'-Klasse. In der 'main'-Methode der 'Main'-Klasse wird eine neue Instanz von 'Dog' erstellt und ihr eine Variable zugewiesen. In einem neuen String wird hier der Rückgabewert der 'bark'-Methode gespeichert und anschließend auf der Konsole ausgegeben.

parcelLab/parcellab-returns-chrome-plugin

parcelLab Chrome plugin for Customer Service teams to register returns on behalf of their customers in parcelLab

Returnless-com/returnless-v1-connector-magento2

Connect your Magento 2 webshop to Returnless V1.

baptistewgn/CAC40-Behavior-During-Crisis

Analyzing the Behavior of French Stocks During Crises : A Comparative Study of Return Distributions from 2007 to 2022 Using the Tail Index

devinaa1604/Python-Pandas

This repository is for me to practice with Python and Pandas.

flo1244/JS-grocery-list-array

Created with CodeSandbox. Organizing grocery list with removing duplicates and returning clean list.

gabriel-solon-padilha/projeto_risco_var_es

Projeto de finanças em que calculo os retornos, logretornos, VAR e ES de uma série de preços

Jauneld/Jaunel-Unit7-Review_Parameters-Return

OOP-Shorts/S615-Zahl-zwischen-10-und-20-mit-Fehler

In der 'main'-Methode sind zwei Arrays gegeben. Dein Programm soll zählen, wie viele der Zahlen im 'testArray' zwischen den Zahlen im 'border'-Array liegen. Die Methoden 'countNumbersBetweenBorder' und 'isBetween' beinhalten einige Fehler, die du beheben sollst, sodass dein Programm richtig funktioniert. Die erste dieser Methoden soll dabei das Zählen übernehmen und einen int-Wert zurückgeben. Die zweite soll das Prüfen übernehmen und einen boolean-Wert zurückgeben.

quatrope/garpar

Generation and analysis of artificial and real portfolio returns

tobiaskohler/Stock-Return-Comparison

A Python powered CLI tool to calculate and plot returns for given stocks

vmieres/Portfolio-Analysis

This repo is about Portfolio Analysis