Execution presets
Specify order handling preferences, timing behavior, and routing rules to guide automated bots through reliable execution steps.
Enterprise-grade automation toolbox
Friends Meal: AI-driven trading intelligence and autonomous bot orchestration
Friends Meal provides a cohesive system to streamline execution paths, live dashboards, and rule-based governance for automated strategies across multiple venues. The interface exposes clear routing, sizing logic, and session behavior, designed for consistent configuration and clarity. AI-assisted insights deliver concise context, execution notes, and validation checkpoints to accelerate decisions.
DEX-inspired controls
Configurable routing and execution logic
Audit-friendly logs
Readable activity and event formatting
AI insights layer
Structured summaries for workflows
Rule-based bot configurations across sessions
Configurable exposure and cap views
Execution presets for routing and timing
Key capabilities for automated execution workflows
Friends Meal emphasizes structured configuration for automated trading bots, presenting repeatable parameters that map to execution behavior. The feature set prioritizes routing clarity, monitoring visibility, and governance controls, with AI-assisted insights supporting organized summaries and checkpoint validation. Each module is crafted for repeatable setup across instruments and sessions.
AI workflow summaries
AI-driven insights generate structured notes from configurations, aligning parameters with intended operational outcomes.
Monitoring views
Consolidated dashboards track order states, exposure snapshots, and logs for rapid review and consistent navigation.
Session controls
Tune active windows, throttle rates, and execution pacing to match preferred operating hours.
Parameter templates
Reuse configuration blueprints for repeatable workflows across instruments, venues, and strategy variants.
Operational logging
Maintain structured activity records for audit, including execution events and configuration changes.
How Friends Meal coordinates automation from setup to monitoring
Friends Meal follows a concise sequence that translates configuration inputs into automated bot behavior. Expect parameter definition, execution preferences, and monitoring views, supported by AI-powered summaries. Each step is designed as a repeatable workflow for steady operation.
Define parameters
Select instruments, sizing logic, and execution preferences that shape how automated bots interpret rules.
Apply risk controls
Set exposure caps, pacing, and session boundaries to keep behavior within configured limits.
Activate automation
Enable automated bots to operate under chosen templates, with AI-assisted summaries of the active setup.
Review monitoring and logs
Consult consolidated views and event records to track states, exposure, and workflow continuity.
Operational reach across configuration and monitoring
Friends Meal presents a structured set of operational areas to support automated bots and AI guidance. The progress indicators illustrate coverage in configuration, execution handling, monitoring, and logs. These visuals communicate scope and readiness.
Configuration templates
92%
Execution workflow controls
88%
Monitoring views and logs
90%
AI assistance summaries
86%
FAQ: configuration, automation, and monitoring
Discover concise answers about automated bots, AI guidance, and operational tooling. The entries explain how templates, dashboards, and controls fit together within a repeatable workflow, focusing on usability and efficiency.
What does Friends Meal deliver?
AI-powered trading guidance and autonomous bots with configurable execution workflows, monitoring dashboards, and operational controls.
How are automated trading bots configured?
Parameter templates cover instruments, sizing logic, routing preferences, and session behavior to create consistent execution steps.
What does AI-guided trading assistance add?
Structured summaries of active parameters, checkpoints, and organized workflow notes for quick review.
What shows up in monitoring views?
Order status, exposure snapshots, session context, and audit-friendly logs reflecting bot activity.
How are operational logs used?
Structured logs of configuration changes and execution events, enabling consistent review of workflows over time.
Elevate automation with a streamlined workflow
Centralize configuration templates, monitoring dashboards, and AI-driven trading guidance for automated bots. Follow a consistent setup, apply governance controls, and maintain structured logs as part of daily operations. Complete the form to proceed with access routing.
Open the registration formRisk controls for automation workflows
Friends Meal offers configurable governance to shape bot behavior across sessions and instruments. These controls focus on exposure boundaries, pacing, and safeguards, with AI-assisted summaries that highlight active constraints. The cards below cover common configuration areas used in automation routines.
Exposure caps
Set maximum exposure per instrument or session to keep automated trading within safe limits.
Order pacing
Configure pacing and throttling to control execution cadence across time windows.
Session boundaries
Define active windows and pause criteria to align bots with preferred operating hours.
Template verification
Review configuration templates and AI summaries before activating automation.
Event review
Examine logs and dashboards to maintain awareness of automated bot activity.
Constraint presets
Bundle exposure, pacing, and session rules into repeatable configurations for consistency.
Security and operational integrity checklist
Friends Meal employs structured workflows that ensure consistent handling of configuration inputs, monitoring views, and logs. The checklist emphasizes best practices for automated trading bots and AI guidance across execution routines. Each item supports a workflow-first approach to reliable operations.
Structured parameter templates for repeatable setup
Session controls aligned with operating windows
Monitoring views with clear status and exposure context
Audit-friendly event logs for workflow review
AI-assisted summaries for checkpoints
Preset constraints for consistent automation behavior
