BlackOps

Deployed. Monitoring.
Autonomous.

Premium trading infrastructure automation. Already have a strategy running locally? We automate as much of the system as you want and deploy it to the cloud.

Clients

What Clients Say

"Working with Brian on a fintech application was a pleasure. Not only is Brian very knowledgeable as a Chartered Financial Analyst, but he was a fantastic resource when it came down to programming the application itself. His Python skills are top notch, and he was able to introduce me to developer tools and practices that I still use today."

Brandon J. Quantitative Analyst/Researcher — Oil & Gas

"I had the pleasure of working with Brian on our internal fintech application overhaul, where he demonstrated exceptional skills in data analytics and workflow automation. My project requirements were complex and a little fluid. However, his clear communication and proactive approach made collaboration seamless, resulting in a dramatic increase in my trading system's performance."

Brendan N. Quantitative Risk Analyst & Derivatives Trader

Delivered

Client Deliveries

Project Ironclad Deployed & Operational

Autonomous Options Trading System

Fully autonomous options trading system. Seven AWS Lambda functions orchestrate position monitoring, option selection, automated rolling, risk assessment, and trade execution via Interactive Brokers through a persistent broker connection proxy.

  • 7 AWS Lambda functions, CloudFormation IaC
  • Interactive Brokers API integration
  • Margin verification & naked exposure prevention
  • Real-time alerting & idempotent operation tracking
Project Meridian Completed

Cross-Exchange Crypto Arbitrage System

Cross-platform cryptocurrency arbitrage system built in collaboration with a client. Identified and executed price discrepancies across exchanges with automated order routing and fund transfers. Profitable in production until exchange fee increases eliminated the edge.

  • Multi-exchange price monitoring
  • Automated order routing & fund transfers
  • Live production deployment

Process

How It Works

01

Assessment

Evaluate your existing strategy, codebase, and infrastructure needs. Define scope and automation targets.

02

Architecture

Design cloud-native deployment on AWS. Select services, define event flows, and plan infrastructure-as-code.

03

Deployment

Containerized deployment with CI/CD pipelines. Automated testing, staging environments, and production rollout.

04

Monitoring

Real-time dashboards, alerts, and anomaly detection. Know the instant something needs attention.


Capabilities

Services

Infrastructure

AWS Cloud Deployment

Full-stack cloud deployment using battle-tested AWS services. Serverless or containerized, depending on your workload.

  • AWS Lambda for event-driven execution
  • ECS/Fargate for long-running processes
  • Step Functions for workflow orchestration
  • EventBridge for scheduling and event routing
Execution

Automated Portfolio Rebalancing

Systematic execution on your schedule. Drift monitoring, position sizing, and automated order management.

  • Scheduled execution with configurable frequency
  • Portfolio drift monitoring and alerts
  • Risk-aware position sizing
  • Broker API integration (IBKR, Schwab)
Observability

Real-Time Monitoring & Alerts

Full observability into your deployed systems. Know what happened, when, and why.

  • CloudWatch dashboards and metrics
  • SNS/email/SMS alert pipelines
  • Anomaly detection on key metrics
  • Execution audit trails and logging
Development

Custom Python Development

Bespoke automation built to your specifications. Strategy logic, data pipelines, and API integrations.

  • Strategy automation and signal generation
  • Data pipelines (market data, alternative data)
  • REST/WebSocket API integrations
  • Testing infrastructure and CI/CD

Stack

Tech Stack

AWS Services
  • Lambda
  • ECS / Fargate
  • Step Functions
  • EventBridge
  • CloudWatch
  • SNS
  • S3 / DynamoDB
  • SSM Parameter Store
Python
  • pandas / numpy
  • boto3
  • Pydantic
  • pytest
  • FastAPI
  • SQLAlchemy
  • beartype
  • ruff / mypy
Infrastructure
  • Docker
  • GitHub Actions
  • CloudFormation / CDK
  • pre-commit hooks
  • Terraform (optional)
  • Datadog (optional)
Engagement

Ready to Deploy?

Code reviews & audits from $1,000. Hourly engagements from $70–$125/hr. Fixed-scope projects from $5,000. Custom scope and retainer arrangements available.

Typical response within 24–48h. For urgent inquiries include [URGENT] in your message.

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