Multi-Asset AI Alpha Generation
Real-time extraction of excess-return factors across equities, FX, commodities, bonds, and crypto from fundamentals, price, technical, alternative, and on-chain data.
AI Technology
Riventa-M™：Global Multi-Asset Machine Intelligence Engine
Riventa-M™ is Riventa Capital's fully proprietary, in-house developed AI engine and the single most important differentiator we have. It is not a mere quant tool — it is a complete, continuously self-learning, 24/7 intelligent investing operating system.
It uniformly powers all seven asset classes (equities, FX, fixed income, commodities, crypto) through six core modules (Alpha generation, global macro liquidity, behavioral sentiment monitoring, on-chain parsing, risk-budget optimization, and the unique Emotion-Control Layer), delivering fully automated, end-to-end decisions governed solely by cold mathematics — never by hot human emotion.
Six Core Modules of Riventa-M™
These six modules operate 24/7 in parallel, cross-validating each other to form a closed-loop global multi-asset intelligence system. Every module is personally designed and continuously upgraded by Prof. Alexander James Moore.
Global Macro Liquidity Analysis
Monitors major central bank policies, cross-border flows, term structure, and liquidity premia to detect regime shifts in global risk appetite early.
Behavioral Sentiment Monitoring
Captures fear/greed indices, retail-vs-institutional deviations, social media & news sentiment — early warning for irrational bubbles and panic selling.
On-Chain Crypto Data Parsing
Proprietary parsing of whale transfers, wallet activity, exchange funding rates, Gas fees, and DeFi liquidity — leading signals unavailable in traditional datasets.
Risk-Budget Optimization
Dynamically allocates risk capital across strategies, adjusting position sizing and leverage in real time to maintain optimal Sharpe and controlled drawdowns.
Trade Execution Oversight (Emotion-Control Layer)
The unique, patented Emotion-Control Layer automatically detects and blocks emotion-driven violations (chasing, over-sizing, breaching risk limits). Wall Street calls it "the system that controls our greed and fear for us."
Research & Development Partnerships
Princeton University AI & Markets Lab
Founded and directed for a decade by Prof. Alexander James Moore. Remains our closest academic partner, directly feeding the latest factor research, behavioral models, and extreme-scenario libraries into Riventa-M™.
University of São Paulo (USP) AI Finance Lab
Jointly established with Brazil's leading university from 2025, focusing on LatAm-specific factors, Brazil mining-cycle models, BRL-stablecoin hedging, and local talent development — creating a permanent New York–São Paulo dual-core R&D loop.
New York Specialized Data Partners
Deep partnerships with MarketMicro, TensorFlow Finance Group, and other top-tier alternative data and AI infrastructure providers, ensuring 24/7 real-time access to on-chain, high-frequency, satellite, and social sentiment datasets.
Our Technology Philosophy
Emotion-Control Layer
The patented heart of Riventa-M™. Humans most often break discipline in extreme markets; we coded the system to control greed and fear for our clients — this is why we can claim "driven by data, not by emotions."
Risk Is the First Principle
Every alpha signal must first pass tail-risk budget scrutiny. The system will gladly give up 90% of potential upside to avoid one unacceptable drawdown — "stay alive first, make money second" is written into every line of code.
The Right Relationship Between AI and Humans
AI does not predict the future; it understands the present with precision. Humans are poor at execution but great at asking questions. We put AI in the driver's seat and humans in the supervisor & questioner seat — this is the correct division of labor for the next generation of intelligent capital.