The Internet's Memory for Wall Street
In finance, information is asymmetric. In a market driven by noise, accountability is the ultimate alpha.
Our Mission
FinWitness is the flagship financial intelligence platform developed by Ning Universe LLC with a single mission: to ensure the internet never forgets the financial predictions of the past.
We track and verify the public forecasts—the exact narratives institutions want you to trade on. By recording these broadcasted predictions and measuring them against actual market data, we eliminate information asymmetry and provide investors with objective references for risk management and contrarian hedging strategies.
We don't offer opinions. We don't make subjective assessments. We provide unforgeable evidence chains, multi-dimensional deviation analysis, and statistically-grounded credibility scoring.
Technology & Scalability
Operating at the intersection of Big Data and AI, FinWitness relies on enterprise-grade cloud architecture. Our proprietary backend utilizes Large Language Model (LLM) pipelines and Natural Language Processing (NLP) to parse millions of tokens daily.
From ingesting institutional 13F SEC filings to executing real-time entity resolution on raw earnings call transcripts, our autonomous agents require robust, scalable compute resources and high-performance databases to deliver zero-latency accountability to retail investors.
Core Values
Witness
We capture the public predictions broadcasted to retail investors, locking them in with timestamps and source snapshots before they can be quietly deleted.
Process
We structure massive volumes of unstructured financial narratives, transforming rhetorical noise into quantifiable data pipelines.
Verify
We compare institutional claims against actual market outcomes with mathematical precision.
How It Works
Data Ingestion & NLP Parsing
Powered by advanced NLP pipelines, our system autonomously ingests and parses large-scale unstructured data—from institutional 13F filings to real-time earnings call transcripts, capturing every quantifiable prediction.
Timeline Tracking
Each prediction has a deadline — whether explicit (e.g., "NVDA will reach $200 by December") or implicit (e.g., 12-month price target). We track the timeline of every active prediction in our secure databases.
Data-Mining Verification
When a prediction expires, our algorithms automatically retrieve actual market data and calculate precision metrics including deviation percentage, alpha multiplier (difficulty), and maximum drawdown during the prediction period.
Rank and Score
Experts are assigned to Crown Tier (≥55% hit rate), Coin Tier (45-55%), or Clown Tier (≤45%). Each expert receives a FinWitness Credit score that weights accuracy by difficulty, consistency, and executive evasion metrics.
Product Vision
To become the “Internet's Memory” — providing structured data oversight on the prediction accuracy of financial experts and institutions worldwide. Unforgeable evidence chains, multi-dimensional deviation analysis, and statistically-grounded credibility rankings.