Multi-Strategy Autonomous Trading System (Momentum, Market Making, Arbitrage, Time Decay, Basis, ML, Trend)

How It Works DRADIS runs seven distinct strategy modules simultaneously: Momentum (trend following on price series), Maker (passive order posting to capture spread), Arbitrage (cross-market or intra-market mispricing), Time Decay (exploiting probability drift as markets approach resolution), Basis (spread between related markets), ML (machine-learning-driven signal generation), and Trend (longer-horizon directional positioning). A Next.js control tower provides real-time visibility and an LLM advisor (via Ollama) delivers optimization suggestions.

Entry / Exit Conditions Each strategy module operates with its own entry/exit logic. The Time Decay strategy likely enters positions that benefit from the acceleration of probability convergence near resolution. The Maker strategy posts passive limit orders and exits when filled or when spread conditions deteriorate. Specific thresholds are not publicly documented.

Verified Results No verified PnL or back-test results are disclosed. The system's complexity and the inclusion of an LLM advisor suggest it is in active development. The Rust implementation implies a focus on low-latency execution.

Implementation Notes Rust is an appropriate choice for a latency-sensitive multi-strategy system. The LLM advisor via Ollama (local inference) avoids API rate limits and latency associated with cloud LLM calls. Telegram integration enables real-time alerting. The modular architecture allows individual strategies to be enabled or disabled without system-wide disruption.

Risks Running seven strategies simultaneously creates complex interaction effects and correlated risk exposures that are difficult to monitor holistically. LLM-generated recommendations may be plausible-sounding but incorrect in novel market conditions. The breadth of the system increases the surface area for bugs and unintended behavior. No disclosed validation methodology means edge claims are unverified.