AskTrade.AI is a team of AI agents that enhances existing quant workflows through intelligent automation. From vendor data ingestion to portfolio optimization—everything happens automatically with LLM-powered intelligence.
Compatible with your existing infrastructure
The only fully autonomous AI platform for quantitative finance. From vendor emails to portfolio execution— everything happens automatically with LLM-powered intelligence and complete auditability.
5 specialized AI agents work together autonomously, from data ingestion to portfolio execution, with real-time monitoring and intervention capabilities.
Deploy in your VPC with complete control. RBAC, audit trails, PII redaction, and policy guardrails ensure compliance and security.
Advanced LLM integration for understanding financial data, processing emails, and making intelligent decisions throughout the workflow.
A fully autonomous system of 5 AI agents orchestrated as a DAG with real-time monitoring and complete auditability.
Continuously monitors emails, processes vendor data, validates schemas, and loads to your data warehouse with automated QC reports.
LLM-powered feature engineering, signal generation, ensemble methods, and walk-forward backtesting with transaction costs.
Minimum volatility optimization, risk budgeting, factor constraints, and adaptive portfolio analysis with LLM recommendations.
Live dashboard monitoring, workflow tracking, performance analytics, and comprehensive logging with Slack/Email alerts.
Real-time DAG monitoring, workflow orchestration, retry logic, and comprehensive logging with Slack/Email alerts.
Everything is scriptable from chat, CI, or notebooks. Use REST APIs to trigger autonomous workflows, monitor execution, and integrate with your existing systems.
# Trigger autonomous workflow
POST /api/workflow/execute-complete {
"vendor_email": {
"from": "vendor@example.com",
"content": "Data available at s3://bucket/path"
}
}
# Monitor workflow status
GET /api/workflow/status/{tracking_id}
# Portfolio optimization
POST /api/portfolio/min-volatility {
"objective": "min_volatility",
"constraints": {
"max_weight": 0.05,
"sum_weights": 1.0
}
}
# Dashboard monitoring
GET /api/dashboard/workflows
GET /api/dashboard/contexts
Real-world examples of how AskTrade.AI automates quantitative finance workflows.
Automatically process vendor emails, validate data schemas, load to Snowflake, and send QC reports to Slack/Email.
Run AI models on coverage list, write results to database, and schedule automated dashboards and alerts.
Upload portfolio CSV, run minimum volatility optimization, export weights, and generate comprehensive analysis reports.
Built for regulated financial environments with enterprise-grade security, complete audit trails, and compliance features that meet the highest standards.
Role-based access control with fine-grained permissions
Automated policy enforcement and approval workflows
Deploy in your VPC with complete infrastructure control
Complete audit trails and data lineage tracking
The system is fully autonomous, continuously monitoring emails, processing data, and executing workflows without human intervention. Human approval gates can be configured for critical decisions.
Human-in-the-loop approvals, RBAC, policy guardrails, correlated run IDs, and immutable logs across each agent step ensure complete auditability.
Customer VPC first (ECS/EKS/Docker). Bring your own keys, storage, observability; we ship workflow packs to speed setup and deployment.
Automate the vendor drop → QC → Snowflake → loader report flow, or turn a PM CSV into optimized portfolio weights with comprehensive analysis in under 30 minutes.
Tell us about your current data sources and the first workflow you want to automate. We'll show you how AskTrade.AI can enhance your quantitative finance operations with autonomous AI.