Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Are you considering launching a new cryptocurrency market, foreign exchange platform, commodities or stock exchange, an alternative trading system, a dark pool, a block house, a hedge fund, a brokerage, or high-frequency trading operations? We would be excited to assist you! The Argo Trading Platform (ATP) offers a comprehensive suite of high-performance financial technology software components, including servers, front-end applications, and APIs, designed to effectively support both buy-side and sell-side financial firms. ATP features a lightning-fast order management system (OMS), intuitive desktop and web trading interfaces equipped with advanced charting and technical analysis tools, as well as algorithmic trading servers. Additionally, it provides market data distribution, access to historical market data, robust risk management solutions, and a high-capacity, low-latency matching engine that operates on price-time priority FIFO and pro-rata matching principles, along with sophisticated implied IN and OUT logic. The platform also supports continuous and call-action trading sessions, a range of trading APIs, a framework for high-frequency trading (HFT), and a Reliable Multicast Messaging (RMCast) system for efficient data transmission. With such an extensive technology offering, ATP is positioned to meet all your trading needs.
Description
LightningChart is a next-generation data visualization solution built for extreme performance requirements. It allows developers to render billions of data points in real time using GPU-accelerated charting technology. The platform supports cross-platform development, making it suitable for web, desktop, mobile, cloud, and IoT applications. LightningChart integrates seamlessly into existing applications as standalone dashboards or embedded visual components. Developers can fully customize themes, colors, and interactions while maintaining high frame rates. Hardware acceleration shifts heavy processing from CPU to GPU, resulting in faster rendering and lower system load. LightningChart supports JavaScript, .NET, and Python environments. Its extensive library of chart types and visualization examples reduces development time. The framework is trusted in industries where accuracy and speed are critical. LightningChart delivers unmatched performance for real-time data visualization.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
.NET
JavaScript
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Argo Software Engineering
Founded
2004
Country
United States
Website
www.argocons.com
Vendor Details
Company Name
LightningChart
Founded
2007
Country
Finland
Website
lightningchart.com
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Investment Management
Accounting Management
Benchmarking
Bonds / Stocks
Client Management
Commodities
Compliance Reporting
Data Import / Export
For Investment Advisors
For Investors & Traders
Fund Management
Modeling & Simulation
Payroll & Commissions
Performance Metrics
Portfolio Management
Risk Management
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery