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Deepmoney 34b 200k Base

Developed by TriadParty
Deepmoney is a large language model focused on the financial investment domain, trained on high-quality research reports and financial knowledge, aiming to provide professional investment analysis and decision-making support.
Downloads 144
Release Time : 1/7/2024

Model Overview

Deepmoney is a foundational model specifically designed for financial investment, featuring capabilities in deep research report analysis, quantitative method design, and investment judgment, suitable for building automated investment processes.

Model Features

High-quality Financial Knowledge
Trained on selected university textbooks, professional books, and institutional-grade research reports to avoid the limitations of publicly available knowledge.
Long Context Support
Supports 200k long context, ideal for in-depth analysis of complex financial research reports.
Professional Quantitative Analysis
Capable of designing professional financial quantitative methods including regression analysis and Monte Carlo simulations.
Event-driven Analysis
A three-stage processing flow effectively analyzes the impact of news events on financial markets.

Model Capabilities

Financial Research Analysis
Investment Target Judgment
Quantitative Method Design
Event Impact Assessment
Industry Analysis
Data Requirement Identification

Use Cases

Securities Analysis
Event-driven Investment Analysis
Analyzes the impact of breaking news on specific industries/companies and generates investment recommendations.
Outperforms GPT-4 in industry focus and solution operability.
Research Support
Research Report Data Extraction and Analysis
Extracts key data from complex research reports and generates structured analysis.
Works efficiently with multimodal models to process chart data.
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