Search Results for "c# stock market"

Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. Abstract away from the users the nitty-gritty about preprocessing...

ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're...

... a little inspired from MT4 allowing a fairly easy portability of programmed indicators from MT4 to QChartist. It is now faster and much more professional thanks to the use of a C++ layer (used mostly for calculations) over the standard Basic layer (used mostly for the GUI interface). You can use astro indicators and functions from a library for astronomical calculations. You can get real time quotations thanks to Yahoo Finance, Alpha Vantage, Tiingo, Stooq, Finnhub and Twelvedata data sources.

Market Reporter automatically generates short comments that describe time series data of stock prices, FX rates, etc. This is an implementation of Murakami et al. This tool stores data to Amazon S3. Ask the manager to give you AmazonS3FullAccess and issue a credential file. For details, please read AWS Identity and Access Management. Install Docker and Docker Compose. Edit envs/docker-compose.yaml according to your environment. Then, launch containers by docker-compose. We recommend to use...

Venice is a stock market trading programme that supports portfolio management, charting, technical analysis, paper trading and genetic programming. Venice runs in a graphical user interface with online help and has full documentation.

OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures.

This project is dedicated to developing a simulation of the financial market using multi-agent approach. This kind of simulation is often called an Artificial Stock Market (ASM).

A graphical platform for monitoring the US stock market using OpenTick. Our focus is to have a simple and intuitive interface yet providing the commonly used tools (technical analysis, plots,...).

an artificial stock market, which contains investors with different strategies, including REE, passive, BSV and noise. The market structure is based on SFI ASM, while this ASM is used for studies on financial economics.

AI based stock technical analysis system. The aim of the system is to perform standard technical anlaysis on stock prices and volumes and use ANN (Artificial Neural Network) to make entry/exit recommendations.

ASM is the Santa Fe Institute "Artificial Stock Market" simulation model. This page is mainly aimed to the revision/updating of ASM using the Swarm Toolkit, which is provided by Swarm Development Group (http://www.swarm.org).

The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.