J5-Trade

J5-Trade is an automated Bitcoin trading system built around a simple idea borrowed from professional trading desks: run several independent strategies in concert, each with its own risk budget, and let a coordinator arbitrate between them.

Multi-Model Architecture

Three independent quantitative strategy models run simultaneously — technical-analysis strategies built with pandas_ta (rules and indicators, not machine-learning models), each operating on its own timeframes with its own risk limits:

• Aggressive — short-timeframe momentum and mean-reversion on 1m/5m candles
• Balanced — trend-following and confirmation on mid-range timeframes
• Conservative — higher-timeframe, lower-frequency positioning

A signal resolver with a veto hierarchy reconciles their signals before anything executes.

Genuine AI Layer

The real LLM work in J5-Trade lives in the context and analysis layers:

• News-sentiment classification — polls crypto news feeds and uses an LLM (local LM Studio with OpenAI/Gemini fallback) to score sentiment from -1.0 (panic) to +1.0 (euphoria). When technicals say "buy" but headlines say "exchange hack," the system stays flat.
• Multi-agent analyst pipeline — built on the Agno framework: a Pricing agent, a News-Sentiment agent, and a Trade agent, coordinated by a Coordinator agent.
• Chat assistant — an integrated LLM assistant for querying system state and trade rationale.

Risk Management

Per-model daily loss limits, position caps, cooldowns, and a global kill-switch threshold. Every decision is logged and streamed to a real-time dashboard via server-sent events.

A Note on "Self-Evolution"

An early experiment added a heuristic missed-opportunity tracker that nudged strategy parameters within hard guardrails. It was rule-based (not machine learning) and I disabled it in April 2026 — it wasn't earning its keep. The enduring value is the multi-model architecture, the LLM sentiment/analyst layers, and the risk discipline.

Stack

Python (asyncio) · pandas_ta · Agno · LM Studio / OpenAI / Gemini · React · TypeScript · WebSockets / SSE · SQLite