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FORLYZE research venture

ForlyzeTrading

A research-first crypto and prediction-market signal dashboard where a feature engine and an LLM risk reviewer propose paper trades behind hard compliance gates.

ForlyzeTrading is an internal FORLYZE research venture that studies how applied AI can support market analysis responsibly. A feature engine scores short-horizon crypto and Polymarket opportunities, an LLM reviews each proposal for risk and missing data, and every trade is simulated on paper by default. Live execution stays behind explicit jurisdiction, edge, and loss-cap gates. It is a research and engineering exercise, not investment advice or a profit product.
Execution
Paper-only
Review
LLM + gates
Markets
Crypto · Polymarket
Horizon
Short-term

Product capabilities

ForlyzeTrading

Feature engine

Momentum, RSI-style oscillators, volatility, order-book spread, implied probability, liquidity, and time-to-expiry are combined into a single scored signal per eligible market.

LLM risk reviewer

Each proposed side receives a structured review — confidence, risks, missing data, and an approve or block verdict. The model is never the sole execution authority.

Hard compliance gates

Live trading requires jurisdiction checks, a minimum edge, maximum position size, a daily loss cap, and stale-data protection. The default mode is paper simulation.

Research transparency

Sessions, entry prices, and settlement are persisted and reproducible, so the venture is studied as an engineering experiment rather than a black box.

Flow

ForlyzeTrading

  1. 01

    Research

    Discover eligible short-horizon crypto and prediction markets, pull public data, and compute the feature set for each candidate.

  2. 02

    Score

    The decision engine proposes one side per market with a risk state, then hands the compact context to the LLM reviewer.

  3. 03

    Simulate

    Approved proposals are executed on paper at real reference prices, sized from a fixed notional, and tracked to settlement.

  4. 04

    Gate

    Any move toward live execution passes explicit compliance, edge, and loss-limit checks before it is ever considered.

Technology

ForlyzeTrading

PythonFeature engineeringLLM reviewPolymarket dataExchange candlesSQLite sessionsRisk gatingPaper execution

FORLYZE research venture

Talk to us about applied-AI research and analytics.

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