Zen Trading operates an AI-native quantitative fund that uses machine reasoning to analyze market data, from SEC filings to semiconductor supply chains, and generate tradable signals. Their platform offers clients monthly subscriptions to access live dashboards with audited, machine-built investment theses and a unified backtesting‑to‑execution infrastructure that ensures the same weight vectors are used in both simulation and live trading.
Funding
Funding not disclosed
Founders
Product
Problem
Investors and asset managers often rely on human analysts to interpret complex supply‑chain data and generate trading signals, a process that is time‑consuming, prone to bias, and difficult to audit. The gap between backtested models and live execution further reduces confidence in quantitative strategies.
Solution
Zen Trading operates an AI‑native quantitative fund where machine reasoning performs end‑to‑end research, signal generation, and trade execution, while human experts oversee risk and capital allocation. Clients subscribe to a Fundamental Reasoning Panel that automatically extracts and analyzes semiconductor supply‑chain information from SEC, DART, and TWSE filings, producing auditable, machine‑generated theses for each vendor. In parallel, the Quant Strategy & Infrastructure service delivers a unified weight vector that is identical in backtesting and live broker execution, leveraging the open‑source FinRL‑X framework with interchangeable selection, allocation, timing, and risk modules. Pre‑trade risk checks and broker integration ensure that the same code path governs both simulated and real trades, providing transparency and consistency across the investment process.
Target Audience
Primary customers are institutional investors, hedge funds, and asset managers seeking data‑driven, auditable quantitative exposure to the semiconductor sector.
Features
- Automated extraction of financial data from SEC EDGAR, DART, and TWSE filings for semiconductor companies
- Machine‑built, editable theses on networking, memory, energy, foundry, and fab equipment vendors
- Live dashboards presenting end‑to‑end supply‑chain reasoning with full audit trails
- Unified backtesting and live‑trading code path using the FinRL‑X infrastructure
- Modular selection, allocation, timing, and risk components that can be swapped without altering the core pipeline
- Broker execution with built‑in pre‑trade risk checks to enforce consistent risk management