Search Results for "financial model"
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Showing 67 open source projects for "financial model"
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Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting... -
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PyTorch Forecasting
Time series forecasting with PyTorch
PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along... -
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Laravel Wallet
Easy work with virtual wallet
laravel-wallet - Easy to work with virtual wallet. -
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Qualitis
Qualitis is a one-stop data quality management platform
Qualitis is a data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on. At the same time, Qualitis provides... -
Save hundreds of developer hours with components built for SaaS applications.Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
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The ARCHModels Package for Julia
A Julia package for estimating ARMA-GARCH models
ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. This package provides efficient routines for simulating, estimating, and testing a variety of GARCH models. ARCH (Autoregressive Conditional... -
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Apache RocketMQ
Distributed messaging and streaming platform with low latency
Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability. Messaging patterns including publish/subscribe, request/reply and streaming. Financial grade transactional message. Built-in fault tolerance and high availability configuration options base on DLedger. A variety of cross language clients, such as Java, C/C++, Python, Go. Pluggable transport protocols, such as TCP, SSL, AIO. Built... -
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Income Tax Portal
An automated tool to fetch data from income tax websites
IT Portal by Jamku is a cloud software offered on SAAS model. It's designed to be used by Chartered Accountants, Tax Consultants, Large corporates. Basically, anyone who wants to view all the information about multiple PANs in one Unified Dashboard. Fast, intuitive search. All the reporting needs are covered. One-click data fetching from the Income tax portal for all PAN. Including all PDF files (i.e. Notices, Challans, Attachments). Super simple and easy-to-use interface to track Demand, e... -
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NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in doubt... -
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Lago
Open Source Metering and Usage Based Billing API
Lago offers a self-hosted and cloud, scalable and modular architecture for metering and usage-based billing, at every stage of your company. Ingest up to 15,000 billing events per second. Lago’s event-based architecture provides a solid foundation for building a fair pricing model that scales with your business. Lago supports all pricing models. Create pay-as-you-go and hybrid plans in no time with our intuitive user interface or API. Create engaging marketing campaigns and increase conversion... -
Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series... -
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Rapid ERP Development
Great Open Source Plugins For iDempiere ERP Project
I created a set of simple plugins to use iDempiere ERP with Unicenta POS, Android Scanner, Budgeting, Warehousing, Manufacturing, on-the-fly generators for App Dictionary, CRM Board and Charts, Kanban Board, Translation and more. Always complete with full technical documentation, blogs and movie tutorials. No information hiding. Its the open source sharing passion and i wanted to give it all back. Much of my present work is sponsored by SYSNOVA, the largest iDempiere conglomerate user and... -
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OptionMatrix
Financial Derivatives Calculator with 168+ Models (Options Calculator)
A real-time financial derivatives calculator supporting 168+ models from QuantLib, Financial Numerical Recipes in C++ and MetaOptions. Matrices of prices are created with iterating strikes and/or months. A strike control system can produce any strike. A generalized date engine can calculate re-occuring distances to any industry used expiration into the future. Spread engine with spread views. Models Supported: Black-Scholes, Merton-73, Black-76, Roll Geske Whaley, Garman KohlHagen, Jump... -
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Prowide Core
Java framework for SWIFT [tm] MT (FIN) messaging
Prowide Core (previously known as WIFE) is an open source Java framework for managing SWIFT MT messages. The library key features are the comprehensive Java model for all MT message types, along a straight-forward parsing and building API. The project is active since 2006, production ready and commercially supported. For detail information on the support package options please check: https://www.prowidesoftware.com/services SWIFT is a trademark of S.W.I.F.T. SCRL. (www.swift.com... -
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optionscat
European options tool, compound calc, finance manager for traders...
European options tool, compound calc, finance manager for traders... The Black-Scholes model for calculating the premium of an option was introduced in 1973 in a paper entitled, "The Pricing of Options and Corporate Liabilities" published in the Journal of Political Economy. The formula, developed by three economists – Fischer Black, Myron Scholes and Robert Merton – is perhaps the world's most well-known options pricing model. Black passed away two years before Scholes and Merton were... -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
..., such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc. -
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Wharton models
Wharton models
Wharton proposed model is intended for the analytical study and assess the impact of Driving records (Investments, government contracts, taxes on business activity, government payroll) on indicators of the (national income, profit, fixed assets, consumption, payroll, labor productivity). Implemented windows_32. The purpose of the model - the forecast and assessment the efficiency of the economy. coefficients Wharton models are two-step method of least squares. -
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A simple personal accounting manager as an Eclipse desktop application. Handles multiple accounts and users. Also provides with basic accounting framework including : model, persistence, views, ...
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The purpose of daybookaccounts / Simple Accounts is to maintain the day to day financial transactions and produce financial reports of individuals, sole proprietorship companies, small and medium sized companies. Simple Accounts is a financial accounting system package developed in open source php, mysql projects. The objective of the project is to host the accounting package in web and maintains day to day financial accounts. Note : This works in the Client Server Model. Apache, PHP...
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LDT
Automatic Time Series Analysis with Stationary VAR Models
LDT is designed for automatic time-series analysis. Current version focuses on stationary vector autoregressive models (VAR) and the related analyses such as forecasting and Granger causality. See the following paper for an application: See http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2818213 -
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PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal... -
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This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
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Pos On - Desktop
Pos On best free Point Of Sale Application For Indonesian
..., Laundry, Salon , Reflexi & Spa, Toko Bangunan, Restoran, Cafe, Karaoke, Take Away, dan segala jenis usaha dagang lainnya. Kenapa POS On bisa demikan? Karena POS On didesain sedemikian rupa untuk bisa memenuhi kebutuhan seluruh model bisnis penjualan pada umumnya, dan dengan ditambahkan beberapa fitur khusus maka POS On menjadi sebuah produk software kasir yang dapat digunakan pada seluruh model penjualan. -
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The open-source project for development, analysing and installation of (Asset-Control) Asset Data Model(s), through Eclipse.
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Trad4 is a fully concurrent, thread safe, graph-based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk.
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LMM Pricer
LIBOR Market Model Derivatives Pricer
A library and Excel Spreadsheet for generating LIBOR Market Model sample paths.