PNN Terminal on Athena AI Platform

Scalable self-hosted agentic AI platform for financial and government institutions


Contact cto@pnncapitalus.com

Key Features of the Platform

Scalable Cloud Deployment

Fast deployment with efficient scaling. Sizable use cases.

Custom LLM Creation

Tailored large language models with proprietary data. Agentic RAG & LLM API.

Base for PNN Products

Provide self-hosted LLMs for agentic products of PNN Capital

First-principle Question 1: When is the right time to buy and sell stocks? Use PNN Terminal's future-dated projections (incrementally validated) to gain crucial insight.
2: How to implement Agentic RAG AI for my project? Launch Athena AI platform from AWS Athena, then use PNN Terminal as the example to design and develop your target state.

Products of PNN Capital

PNN Terminal

Agentic Investment Analytics (AIA) of asset allocation for investors & funds

Athena MAAC

Agentic collaborations displace ~25% human meetings by text & voice agents

Athena LSP

Quantify and visualize LLM Security Posture

1. PNN Terminal: ATH & YesRatio - Novel AIA used by investors & funds for asset allocation (precise projection & Buffett advice by agentic RAG on multi-agent framework). Reference: Bloomberg Terminal

  • First Principle Problem: When is the right time to buy and sell stocks? Precise market timing is very hard but not impossible. Only a cadre of sophisticated asset managers may succeed at market timing; most retail investors and many fund managers are better off using timing-removed passive strategies. -- GPT/Gemini LLM
  • Make Successful Market Timing Possible for More: PNN Terminal's Future-dated Projections by Options Sentiment, Agentic AI Integration, Technical Indicators (Ye 2011 2025, Black-Scholes 1997)
  • Asset Pricing for Asset Allocation: paradigm shift from traditional asset pricing theories (Sharpe 1990) to options-based asset pricing & projection (Ye 2011 2025). The traditional asset pricing theories cannot solve the market timing problem because they have missed options data, technical indicators, and agentic AI integration.
  • Patent (Ye 2025): Implementation of USPTO # 19/245,322: System and Method for Agentic Investment Analysis Using Options Sentiment and Resilience Metrics
  • Stock Resilience: Yes Ratio = ƒ(Sharpe Ratio, Resilience Metric)
  • Resilience Wisdom: Life Advice by Su Shi for Investors to Asset Loss
  • Users: Customer Zero, Asset Manager of HF/ETF/MF/PE/RIA/FO, CEO/Board/CFO Market Capitalization/Earnings Management, Accredited Investor/Trader, 401K/IRA Owner
  • Release: PNN Terminal (Ye 2025) will not be released if it cannot pass rigorous live trading tests & experiments by Customer Zero.
  • Experiments: Real-time hypothesis tests for options-based projections | Behavioral Economics/Finance experiments (Kahneman 2002, Shiller 2013, Ye 2011 2025)
  • Validity: PNN Terminal's future-dated projections are incrementally validated with live back-forward testing.
  • Projection line: Use call projection line if Test H1 chart shows actual line validates call projection line, and asset is uptrend by TIs.

2. Agentic Collaboration by Text and Voice Agents - USPTO # 19/216,814: System and method for AI agent-based meeting simulation and collaboration

Click here for live MAAC demo

3. LLM Cloud Security Posture - USPTO # 19/218,399: Cloud Large Language Model Security Posture Assessment System and Method

4. Agentic AI Video - USPTO # 63/780,599: System and method for video large language model (LLM) agentic collaboration