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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,...).
Complete technical analysis & trading system, full set of features: retrieve, analyze EOD stocks data; manage multiple portfolios; technical analysis & graphical rendering; neural networks for generation of trading signals; support trader community
The aim of the project is to build multi-agent distributed system for modeling the Instant Payment Flow concept. The system allows to set-up business money-transfer transactions with continuous flow of money depending on goods flow
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.
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Simulation platform for automated stock exchange trading.
It delivers statistics to analyse performance on historic data and allows comparison between trading strategies, that can be coded in Java.
Diagram (JGraph) driven simulator. Bondgraphs > nonlinear differantial system > plot: implemented for economics and ecology. Network analysis: emergy propagation implemented. Would also fit for electronics, mechanics, cost, GWP, footprint analysis.
8. Mai 2005: We have discontinued SourceForge as a download place for our open source projects. You can now download these projects directly from the XLOG Technologies GmbH web site at http://www.xlog.ch/omonia.
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.
A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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Forasystems compound financial expertise into Java Business components. These components put together the financial requirements which are shared by most of financial companies and allow to build resilient applications.
Opensource, webbased Stock analysis with support for AI algorithms and simulation. Current development state is very early and only supports viewing of stock quotes at the moment.
FINSCALE is an open source distribution of Open Finance and data residency platform for financial access use cases.
Core features include Identity, accounting and electronic contracts ledger platform.
The Artificial Stock Intelligence will function as a guide in selecting the best stocks for you, regardless of whether you are a day trader or saving money for retirement.