EventTrader

Prediction Market Platform
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EventTrader

AI systems and agentic engineering are enabling new ways to find an alpha or an edge in trading markets including prediction markets of all kinds. With EventTrader AI agents, anyone can leverage AI to make informed trades with a real edge

The Company

Cymetica is the company behind EventTrader, founded in November 2025. We build AI-native financial infrastructure — a prediction market and crypto exchange platform that was built entirely using Human-In-The-Loop (HITL) methodology with AI.

By the numbers: 10,497 commits in 152 days. 1.9M+ lines of live production code (999K Python, 808K HTML, 832K JS, 64K Solidity). 69 commits per day average. One founder + AI = what traditionally requires a 50-person engineering team.

EventTrader operates a hybrid CEX-DEX exchange — off-chain order matching with on-chain settlement on Ethereum mainnet and Base L2. The platform includes autonomous AI trading agents, tokenized assets (VAIX, ET10, SBIO), an AI-vs-AI trading arena, fractionalized MicroFunds, and a central limit order book (CLOB) exchange.

Founder

Kasian Franks — Creator of Cymetica (EventTrader), Vector Space Biosciences, and Vectorspace AI. Language modeling pioneer whose 2005 patent on vector-based relationship networks at Lawrence Berkeley National Lab predates Word2Vec by 8 years and the Transformer architecture by 12.

UC Berkeley CS. Career spanning Genentech, Oracle, Sun Microsystems, LBNL Biosciences Division, SeeqPod (R&D 100 Award, 50M MAU), and government research with DOE, US Navy SPAWAR/NAVWAR, and NASA GeneLab. Six patents in vector representations for search, discovery, and relationship extraction.

At LBNL, Franks developed vector space methods for detecting hidden relationships between genes, proteins, drugs, and diseases — the same mathematical foundation that powers modern LLMs and EventTrader's Tuatara vector algorithm. His work bridges computational biology, space biosciences, satellite data acquisition, and financial market prediction.

Agentic Engineering

EventTrader is a proof-of-concept for the next generation of software development. Our HITL methodology — where a human sets direction and AI executes at scale — demonstrates that a single founder can build production-grade financial infrastructure at unprecedented velocity.

We design for complementary AI/human strengths, not imitation. AI brings speed, scale, consistency, and pattern recognition. Humans bring judgment, creativity, context, and ethics. EventTrader leverages both — never forcing AI into human workflows or humans into AI workflows.

AI-Native: This isn't AI-assisted or AI-enhanced — the entire platform is AI-native from the ground up. Every line of code, every smart contract, every trading algorithm was built through human-AI collaboration.

Our Mission

The future is based on predictions which lead to discoveries.

Everyone uses data to predict. Scientists and engineers use data to predict using probability with some of these predictions leading to new innovations or discoveries.

We provide proprietary datasets, models and algorithms which enable AI systems, agents and their bots to develop unique and powerful trading systems for their users.

EventTrader develops AI pipelines that predict which assets - cryptocurrencies, stocks, and commodities - are most likely to be impacted by global events. We transform the chaos of world news into actionable market intelligence.

Our systems analyze millions of data points in real-time, identifying correlations between geopolitical events, market sentiment, and asset movements that human traders simply cannot process at scale.

Core Focus: Connecting global events to asset price movements through advanced AI modeling and prediction markets.

Origin Story

We got our start years ago in biological language modeling applied to the financial markets. We found the way you can predict hidden connections between human genes and proteins can be applied to assets (trading vehicles like crypto, stocks, prediction markets) of any kind and their hidden connections to global events or headlines. Predicting the strength of a hidden connection can lead to predicting the future price of an asset.

Vector Embeddings Technology

At the heart of modern AI lies vector embeddings - mathematical representations that capture the semantic meaning of data. EventTrader specializes in fine-tuned vector embeddings that form the foundation of our prediction systems.

Our proprietary embedding models are trained on:

  • Historical market data spanning decades of price movements
  • Global news and event datasets covering geopolitical, economic, and social factors
  • On-chain blockchain data revealing real-time market sentiment
  • Alternative data sources including satellite imagery and supply chain signals

Technical Edge: Our vector models achieve superior semantic understanding of the relationship between world events and market reactions.

Perpetual Prediction Markets

EventTrader operates perpetual prediction markets - always-on markets that let traders trade on outcomes using our proprietary intelligence. Unlike traditional prediction markets with fixed expiry dates, our perpetual markets provide continuous trading opportunities.

What makes our markets unique:

  • Proprietary Data: Markets powered by unique data sources including satellite imagery analysis and AI-processed event streams
  • Advanced Algorithms: Pricing models that adapt in real-time to new information and market dynamics
  • AI Modeling: Machine learning systems that continuously improve prediction accuracy
  • On-Chain Settlement: Transparent, trustless resolution via smart contracts on Base L2

These markets are hard to duplicate because they require the combination of proprietary data access, sophisticated AI modeling, and deep domain expertise in both markets and machine learning.

The Power of Data

Prediction markets are uniquely powerful because they generate something rare and valuable: true signal about the future.

When people put real money on predictions, the resulting data is fundamentally different from surveys, polls, or expert opinions. It represents genuine conviction backed by financial stake.

This data creates a flywheel effect:

  • Train AI Models: Prediction market outcomes provide labeled training data for machine learning systems
  • Enhance Signal: Aggregated predictions cut through noise to reveal genuine market sentiment
  • Power Intelligence: Our EventTraderBot uses this data to provide AI-powered market insights
  • Improve Predictions: Better models create better markets, which generate better data

Data Advantage: Every trade on our platform improves our AI models, creating a compounding advantage that grows stronger over time.

Satellites, Space & Earth Observation

The next frontier of market intelligence comes from above. Satellite constellations and earth observation platforms generate petabytes of data daily - capturing agricultural yields, shipping traffic, energy infrastructure activity, urban development, and environmental change in near real-time.

EventTrader integrates space-derived datasets to build prediction signals that are invisible to traditional financial analysis:

  • Synthetic Aperture Radar (SAR): All-weather, day-and-night monitoring of oil storage levels, port activity, and construction progress - data that moves commodity and equity markets before earnings reports land
  • Multispectral Imagery: Crop health analysis across global agricultural regions, enabling early detection of supply shocks in grain, coffee, cocoa, and other soft commodities
  • Shipping & Logistics Tracking: AIS vessel data combined with satellite imagery to monitor global trade flows, port congestion, and supply chain disruptions as they unfold
  • Nighttime Radiance: Light emission data as a proxy for economic activity, industrial output, and energy consumption across regions and nations
  • Environmental Monitoring: Methane emissions, deforestation rates, water levels, and wildfire tracking that inform ESG-sensitive markets and insurance-linked instruments

By fusing earth observation data with our news intelligence pipelines and on-chain prediction markets, EventTrader builds a multi-dimensional view of global events that no single data source can provide alone. Satellites see what markets cannot - and our AI models translate those observations into actionable trading signals.

Space Data Edge: Earth observation data provides ground-truth verification of market narratives. When headlines claim a drought or a port closure, satellite data confirms or contradicts the story before the market fully prices it in.

Technology Stack

EventTrader is built on cutting-edge infrastructure:

Base L2 Solidity Python FastAPI Proprietary AI Vector Search PostgreSQL Redis

Our smart contracts are deployed on Base, Coinbase's L2 network, providing fast, low-cost transactions with Ethereum-level security.

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