Autonomous decision agents with multi-modal vision AI, real-time pattern recognition, and multi-provider LLM orchestration. Self-hosted and fully observable.
Multi-provider LLM orchestration, real-time pattern recognition, autonomous risk management, and full observability — in a single self-hosted runtime.
Hot-swap between foundation models at runtime. Every inference call is cost-tracked and logged.
Multi-modal models process rendered charts alongside structured data. Visual reasoning in real time.
Rule-based risk gates enforce position sizing, drawdown limits, and R:R thresholds automatically.
Multi-modal vision AI scans charts across timeframes while pattern detectors identify high-probability setups in real time.
Multiple LLM providers analyze confluence, assess risk-reward, and generate autonomous trade decisions with full reasoning chains.
Risk gates validate every decision. Position sizing, drawdown limits, and entry timing are enforced automatically before execution.
Connect to any supported exchange or data source seamlessly
Pattern recognition across multiple timeframes simultaneously
Every decision, cost, and inference logged and auditable
Default deployment in sim mode — go live only when ready
No vendor lock-in. No black-box inference. ALG7 gives you full ownership of the AI stack.
Your binary, your infrastructure, your data. Nothing leaves your environment unless you configure it to. Full data sovereignty.
Swap LLM providers at runtime. Connect any supported exchange or data source. No single-vendor dependency across the stack.
Every inference call, every decision, every cost logged and inspectable. Full audit trail from input to action.