Blackglass
Full Source Code

Own a production-grade
algo trading platform.
Deploy it as yours.

8 microservices. Bayesian ML pipeline. React dashboard. 3 exchange integrations. 18 months of development. Acquire the complete codebase and run your own autonomous trading operation.

See Pricing
What's Included
8
Microservices
Python / FastAPI
100+
ML Features
58 modules, multi-timeframe
3
Exchanges
Alpaca, Coinbase, Kraken
18mo
Development
Production-tested

Build This Yourself: $330–490K

Or acquire the complete, working codebase today. Here's what it would cost to rebuild from scratch.

ComponentCost to BuildTimeline
8 microservices (FastAPI + SQLAlchemy)$80–120K4–6 months
Bayesian ML pipeline + ensemble training$100–150K6–9 months
Exchange integrations (Alpaca, Coinbase, Kraken)$40–60K3–4 months
React dashboard + operations monitoring$30–50K2–3 months
Infrastructure (Docker, AWS, TimescaleDB, Redis)$20–30K1–2 months
Risk management (ATR stops, circuit breakers, drawdown)$30–40K2–3 months
Walk-forward backtesting engine$30–40K2–3 months
Total$330–490K18–24 months

Built For

Fund Managers

Deploy institutional-grade algo trading without a $200K/yr quant hire. Run your own strategies on your own infrastructure.

Prop Trading Firms

Add a new automated strategy desk instantly. Customize the ML pipeline for your edge.

Fintech Entrepreneurs

Launch a trading product or robo-advisor. Skip 18 months of development. Go to market in weeks.

Independent Traders

Own institutional-level infrastructure. No subscriptions, no vendor lock-in. Your platform, forever.

Complete Inventory

Everything in the repository. Nothing held back.

Core Services (8 Microservices)

Data Ingestion Service — real-time market data via WebSocket (Alpaca, Coinbase, Kraken, Polygon)
Intelligence Service — 100+ features, ensemble inference, backtesting engine
Execution Service — order routing, TP/SL management, exchange adapters, risk controller
Learning Service — MAML meta-learning trainer, model training pipeline
Learning Bayesian Service — PyMC MCMC inference, multi-task learning, Optuna tuning
Operations Service — monitoring, dashboards, health checks, alerting
Orchestrator Service — bootstrap, workflow coordination, symbol grouping
User Management Service — Cognito auth, API key management, RBAC

ML / AI Pipeline

Bayesian MCMC inference — PyMC + JAX backend, 4-chain NUTS sampler, 2000+ samples
Ensemble stacking — Channel A (directional core) + Channel B (context/uncertainty) + Arbitration
Multi-Task Learning — multiple objectives trained simultaneously
MAML meta-learning — few-shot adaptation to new market regimes
Feature engineering — 100+ features across 58 modules (technical, liquidity, microstructure, sentiment)
Optuna hyperparameter optimization — 100 trials, Bayesian search, cross-validation
Triple-barrier labeling — ATR-based TP/SL with direction-aware barriers
Walk-forward validation — purged K-fold, regime-specific, Monte Carlo resampling
Multi-timeframe analysis (1m, 5m, 15m, 1h, 1d)
10+ additional trainers included (LightGBM, XGBoost, CatBoost, TFT, RL, MoE) — ready to enable

Exchange Integrations

Alpaca — US equities, full order lifecycle, real-time quotes (production-tested)
Coinbase — crypto trading, WebSocket feeds, order management
Kraken — crypto trading, market data, order routing
Polygon — historical market data backfill
Adapter pattern — add new exchanges without touching core logic

Frontend Dashboard

React 18 + TypeScript + Vite — modern, fast, fully typed
Tailwind CSS — responsive, dark theme, Bloomberg-inspired design
Real-time P&L, positions, trade history
Model confidence scores and signal visualization
System health monitoring and alerting dashboard

Infrastructure & DevOps

Docker Compose — full local development environment
AWS deployment scripts (ECR, SSM, EC2) — single-command deploy
Terraform infrastructure-as-code
PostgreSQL + TimescaleDB for time-series data
Redis for pub/sub, caching, and job queues
Alembic database migrations for every service
Nginx configuration for production
PgBouncer connection pooling

Risk & Architecture

Layered architecture — Event → Feature → Cognition → Decision → Action → Risk → Feedback → Audit
ATR-based dynamic stop-loss and take-profit (configurable multipliers per direction)
5% daily loss limit with automatic signal blocking
Agent-level drawdown tracking (10% rolling 7-day window)
Stop-loss cluster detection — 3+ SL hits in 1 hour triggers 24h lockout
Per-exchange circuit breakers (5 failures → auto-halt)
Kelly Criterion position sizing adjusted by regime
Full trade audit trail — every entry and exit logged

Acquire the Platform

One-time purchase. Full source code. Own it forever.

Platform License
$75Kone-time

The complete codebase, documentation, and deployment support. Everything you need to run your own trading operation.

Full source code — all 8 services
ML pipeline + trained model configs
React dashboard
Docker + AWS deployment scripts
All database migrations
Full documentation
5 hours deployment support
1-hour architecture walkthrough call
30 days private Slack/Telegram
Book a Walkthrough
Recommended
Launch Package
$150Kone-time

Everything in Platform License, plus hands-on deployment, customization, and extended support to get you trading.

Everything in Platform License
20 hours deployment + customization support
3 architecture walkthrough sessions
Custom exchange or strategy integration (1)
Production deployment assistance
Performance tuning for your infrastructure
6 months private Slack/Telegram
Priority bug fixes during support period
Book a Walkthrough

Payment via wire transfer, crypto, or Stripe. Escrow available via Escrow.com.

Layered Trading Architecture

Every trading decision flows through every layer. No shortcuts. No bypasses. Built for survivability.

Event
Feature
Cognition
Decision
Action
Risk
Feedback
Audit
Philosophy

Survivability over aggression. Capital preservation first. The system is designed to not lose money before it tries to make money.

System Modes

Research → Shadow → Probation → Live → Halted. Progressive trust system. No mode can be skipped.

Communication

Services communicate via HTTP REST and Redis pub/sub. Clean service boundaries. Each service is independently deployable.

Questions

The complete source code for the entire BlackGlass platform — all 11 microservices, ML pipeline, React dashboard, Docker deployment configs, database migrations, documentation. Everything in the git repository. You can inspect it, modify it, deploy it, and run it as your own.

Backend: Python 3.11+, FastAPI, SQLAlchemy 2.x, Pydantic 2.x, Poetry. ML: PyMC (Bayesian MCMC), JAX, Optuna, with LightGBM/XGBoost/CatBoost available as additional trainers. Frontend: React 18, TypeScript, Vite, Tailwind CSS. Infra: Docker, PostgreSQL + TimescaleDB, Redis, Terraform, AWS.

Yes. You own the source code. Add new exchanges, modify strategies, change the ML models, rebrand the dashboard — it is fully yours. The codebase is well-structured with clear service boundaries.

The Platform License includes 5 hours of deployment support and 30 days of private Slack/Telegram access with the builder. The Launch Package includes 20 hours of support, 6 months of access, and a custom exchange or strategy integration.

The system has been backtested profitably on US equities via Alpaca. Results vary based on market conditions, strategy parameters, and capital. We do not promise specific returns — we provide the infrastructure and tools.

With Docker Compose, you can have the full system running locally in under an hour. Production deployment to AWS takes 1–2 days with the included infrastructure scripts.

Yes. One payment, you own the code forever. No recurring fees, no license keys, no vendor lock-in. Optional support packages available separately.

Skip 18 months of development.

Book a 15-minute walkthrough. See the codebase, the architecture, the dashboard. Then decide.

Book a Walkthrough

15 minutes. Screen share. No pressure.