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What is LSO-MAX?

The Large-Scale Optimizerâ„¢ is a joint effort by Michael Best, a Professor Emeritus at the University of Waterloo's Department of Combinatorics and Optimization, and Jivendra Kale, the President of Financiometrics Inc. This innovative quadratic optimizer is tailored for the rapid development of long-only, long-short, and market-neutral portfolios, accommodating thousands of assets to facilitate effective risk management against a benchmark portfolio. Furthermore, it functions as an asset allocation tool grounded in the principles of Markowitz mean-variance analysis. The unrestricted edition of the Large-Scale Optimizerâ„¢ can be obtained as either an application or a subroutine library for seamless integration into existing software systems. By utilizing a sophisticated active set method enhanced by penalty function techniques, the Large-Scale Optimizerâ„¢ significantly accelerates the process of achieving a true global optimal solution for complex, real-world portfolio optimization problems, even in the presence of variable transaction costs. This distinctive feature establishes it as an invaluable resource for financial analysts and portfolio managers striving to refine their investment strategies with efficiency and precision, making it a standout option for those committed to maximizing their financial outcomes.

What is DeepSeek-V4-Pro?

DeepSeek-V4-Pro is a next-generation Mixture-of-Experts language model designed to deliver high performance across reasoning, coding, and long-context AI tasks. It features a massive architecture with 1.6 trillion total parameters and 49 billion activated parameters, enabling efficient computation while maintaining strong capabilities. The model supports an industry-leading context window of up to one million tokens, allowing it to process extremely large datasets, documents, and workflows. Its hybrid attention mechanism combines advanced techniques to optimize long-context efficiency and reduce computational requirements. DeepSeek-V4-Pro is trained on over 32 trillion tokens, enhancing its knowledge base and reasoning abilities. It incorporates advanced optimization methods to improve training stability and convergence. The model supports multiple reasoning modes, including fast responses and deep analytical thinking for complex problem solving. It performs strongly across benchmarks in coding, mathematics, and knowledge-based tasks. The architecture is designed for agentic workflows, enabling it to handle multi-step tasks and tool-based interactions. As an open-source model, it offers flexibility for customization and deployment across various environments. It also supports efficient memory usage and reduced inference costs compared to previous versions. The model’s capabilities make it suitable for both research and enterprise applications. Overall, DeepSeek-V4-Pro represents a significant advancement in scalable, high-performance AI with long-context intelligence.

Media

Media

Integrations Supported

Integrations Supported

.NET
Bash
C#
C++
CSS
Cheaper Inference
Go
Java
JavaScript
Kubernetes
MoClaw
Objective-C
PowerShell
R
Ruby
SQL
Scala
Vercel AI Gateway
XML
ZooClaw

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.435 per 1M tokens (input)
$0.435 per 1 million input tokens (cache miss), $0.003625 per 1 million input tokens (cache hit), and $0.87 per 1 million output tokens
Free Version

Supported Platforms

Windows

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Financiometrics

Company Website

www.financiometrics.com

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

Financial Risk Management

For Hedge Funds
Portfolio Management

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

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