GitHub topics: returns

Repositories

andreasgerstmayr/fava-portfolio-returns

fava-portfolio-returns shows portfolio returns in Fava

Language: Python - Size: 20.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 64 - Forks: 7

rishranyal/Portfolio-Optimizer-Techniques

This repo explores two foundational strategies in portfolio optimization — Markowitz Efficient Frontier and Risk Parity — using Python. It compares their allocations, returns, and performance metrics on real financial data, helping investors understand risk-return tradeoffs in modern portfolio theory.

Language: Jupyter Notebook - Size: 408 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

parcelLab/parcellab-returns-chrome-plugin

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

Language: TypeScript - Size: 747 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Returnless-com/returnless-v1-connector-magento2

Connect your Magento 2 webshop to Returnless V1.

Language: PHP - Size: 85.9 KB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 4

fmilthaler/FinQuant

A program for financial portfolio management, analysis and optimisation.

Language: Python - Size: 1.16 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 1,576 - Forks: 213

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.

Language: Python - Size: 21.9 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 13

kaylah176/Portfolio_Returns

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

Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

quatrope/garpar

Generation and analysis of artificial and real portfolio returns

Language: Python - Size: 12.5 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 2

netresearch/dhl-online-retoure-m1

DHL Online Retoure module for Magento

Language: PHP - Size: 1.44 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

Praveen21n/Sales-Logistics-Optimization

📦 Sales & Logistics Optimization: Analyzed sales, returns, and shipping costs to enhance profitability and operational efficiency. Identified trends, minimized losses, and optimized pricing strategies using Excel (Pivot Tables, Dashboards)

Size: 3.22 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

solidusio-contrib/solidus_expedited_exchanges

Expedited product exchanges for your Solidus store.

Language: Ruby - Size: 56.6 KB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 4

Griffy321/Asset-analysis-web-app-development

This section documents my development of a web app that aims to make investment decisions easier.

Language: Python - Size: 16.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

DeshanSL/returns

Simplify error handling and improve code readability with the Result Pattern

Language: C# - Size: 54.7 KB - Last synced at: 18 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

jaksfischer/Returns

This class is responsible for standardizing returns for the system

Language: PHP - Size: 32.2 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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

Language: R - Size: 1.71 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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.

Language: Java - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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.

Language: Java - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

TommasoBelluzzo/HFMRD

A framework for detecting misreported returns in hedge funds.

Language: MATLAB - Size: 243 KB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 16 - Forks: 13

pasadelo/Z-Library-Returns

The Rise of Z-Library: A Comeback to Remember

Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

dotkom/the-notifier-awakens

A new era has begun

Language: JavaScript - Size: 773 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

guccipepito/ModernPortfolio

Efficient Frontier Portfolio Optimization

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 46 - Forks: 37

sanjeevai/trading-with-momentum

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

Language: HTML - Size: 199 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 50 - Forks: 18

gosuddin/machine-learning-for-finance

ML Coursework focused on solving Computational Finance and Risk Assessment models

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 9

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

Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 3

lazyplayboy/day-04-task

day o4 task

Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

softcommerceltd/rebound

Magento - ReBOUND Connector

Language: PHP - Size: 88.9 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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.

Language: MATLAB - Size: 840 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 4

fischlerben/Portfolio-Analysis

Stock Portfolio Analysis using Python/Pandas

Language: Jupyter Notebook - Size: 8.31 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 5

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

Language: HTML - Size: 286 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0