Autonomous Technology Stack

Architecture

Built with cutting-edge technology for uncompromising performance, security, and regulatory compliance. Our autonomous quant research agent operates on a foundation of type-safe languages, immutable deployments, and tamper-proof execution environments designed for institutional-grade financial operations.

Core Technology Stack

Database & Time Series

TimescaleDB
High-performance time-series database engineered for financial market data storage and real-time analytics. Built on PostgreSQL, TimescaleDB provides automatic partitioning, compression, and continuous aggregates that enable sub-millisecond query performance across petabytes of historical market data. The database handles tick-by-tick price data, order book snapshots, and trade executions with microsecond precision timestamps.
Millisecond query performance across years of historical data
Automatic data compression reducing storage costs by 95%
Real-time continuous aggregates for instant OHLCV calculations
Native support for time-based queries and window functions
Horizontal scaling across multiple nodes for high availability
PostgreSQL
ACID-compliant relational database serving as the foundation for strategy metadata, compliance records, and audit trails. PostgreSQL's robust transaction system ensures data integrity for all regulatory reporting, while its advanced indexing capabilities enable complex queries across strategy performance metrics, risk calculations, and trade attribution data.
ACID compliance guaranteeing data consistency for regulatory requirements
Advanced indexing strategies optimizing complex analytical queries
JSON and JSONB support for flexible strategy parameter storage
Row-level security ensuring data isolation between strategies
Point-in-time recovery for complete audit trail reconstruction

Core Systems

Golang
High-performance systems programming language powering our core trading infrastructure, market data ingestion, and risk management systems. Go's goroutines enable massive concurrency for processing thousands of market data feeds simultaneously, while its garbage collector ensures predictable latency characteristics essential for high-frequency trading operations.
Sub-millisecond latency through efficient memory management
Massive concurrency handling 10,000+ simultaneous data streams
Built-in profiling tools for continuous performance optimization
Static compilation eliminating runtime dependencies
Comprehensive standard library reducing external dependencies
Rust
Memory-safe systems programming language used for implementing trading strategies and critical path execution logic. Rust's ownership model prevents entire classes of bugs including buffer overflows, use-after-free, and data races, ensuring strategy code executes with zero runtime errors. The language's zero-cost abstractions provide C-level performance while maintaining safety guarantees.
Memory safety preventing runtime crashes and undefined behavior
Zero-cost abstractions maintaining optimal performance
Fearless concurrency through ownership and borrowing
Compile-time error detection eliminating production bugs
WebAssembly compilation enabling sandboxed strategy execution

Infrastructure

Serverless Functions
Isolated execution environments running individual trading strategies in completely sandboxed containers. Each strategy deployment creates an immutable function that cannot be modified post-deployment, ensuring regulatory compliance and preventing unauthorized code changes. Functions auto-scale based on market conditions and automatically handle failover scenarios.
Tamper-proof execution preventing unauthorized strategy modifications
Automatic scaling handling market volatility spikes
Cost optimization through pay-per-execution pricing
Zero-downtime deployments with automatic rollback capabilities
Complete isolation preventing cross-strategy interference
Kubernetes
Container orchestration platform managing microservices deployment, scaling, and health monitoring across our distributed infrastructure. Kubernetes ensures high availability through automatic pod rescheduling, load balancing, and rolling updates while maintaining strict resource isolation between different system components.
High availability through automatic failover and pod rescheduling
Resource isolation preventing noisy neighbor problems
Automated rollbacks maintaining system stability
Horizontal pod autoscaling based on CPU and memory metrics
Service mesh integration for secure inter-service communication

Security & Tamper-Proof Execution

Every aspect of our system is designed to prevent tampering and ensure regulatory compliance through immutable deployments, cryptographic integrity, and comprehensive audit trails that meet the highest institutional standards.

Immutable Strategy Deployment
Once a trading strategy is deployed to production, its code becomes completely immutable and cannot be modified without creating an entirely new version. This immutability is enforced through cryptographic hashing of all strategy binaries, version-controlled deployment pipelines, and blockchain-based audit trails that record every code change with tamper-evident timestamps.
SHA-256 cryptographic hashing of all strategy binaries ensuring code integrity
Git-based version control with signed commits and protected branches
Blockchain audit trail recording every deployment with immutable timestamps
Multi-signature approval process requiring multiple team members for deployments
Automated compliance checks preventing deployment of non-compliant code
Isolated Execution Environment
Each trading strategy executes within its own completely isolated serverless container with no access to external networks, shared filesystems, or other strategies. This isolation is enforced at the kernel level using Linux namespaces and cgroups, ensuring that strategies cannot interfere with each other or access unauthorized resources.
Linux namespace isolation preventing access to host system resources
Network isolation with no outbound internet access from strategy containers
Resource limits enforced through cgroups preventing resource exhaustion
Read-only filesystem preventing runtime code modifications
Separate memory spaces eliminating shared state between strategies
Comprehensive Logging
Every decision, trade execution, risk calculation, and system event is logged with cryptographic integrity guarantees. Logs are stored in tamper-evident storage using Merkle trees and are continuously monitored for compliance violations. All logs are retained for regulatory periods and can be provided to auditors on demand.
Merkle tree-based tamper-evident log storage with cryptographic proofs
Real-time compliance monitoring with automated alert generation
Structured logging with standardized formats for regulatory reporting
Log retention policies meeting all regulatory requirements
Automated log analysis detecting anomalous trading patterns

System Architecture

Modular, scalable architecture designed for high-frequency trading and real-time decision making. Each component is independently scalable and fault-tolerant, ensuring continuous operation even during extreme market conditions.

alphabench Core
The autonomous AI research agent responsible for strategy development, hypothesis generation, and continuous optimization. Built using advanced transformer architectures and reinforcement learning, alphabench analyzes market microstructure, identifies inefficiencies, and generates trading strategies with minimal human intervention. The system continuously learns from market feedback and adapts strategies to changing conditions.
Python
PyTorch
Transformers
Ray
MLflow
Market pattern recognition using deep learning models trained on years of historical data
Automated strategy hypothesis generation based on academic research and market observations
Comprehensive backtesting with walk-forward analysis and Monte Carlo simulations
Real-time performance monitoring and strategy optimization using reinforcement learning
Risk-adjusted portfolio construction with dynamic position sizing and correlation analysis
Strategy Engine
High-performance execution engine written entirely in Rust for maximum type safety and zero runtime errors. The engine processes market data, executes trading decisions, and manages risk in real-time with sub-millisecond latency. All strategy logic is compiled to WebAssembly for sandboxed execution with deterministic performance characteristics.
Rust
WebAssembly
gRPC
Tokio
Serde
Real-time strategy execution with sub-millisecond decision latency
Dynamic risk management with real-time position monitoring and automatic stop-losses
Intelligent order routing across multiple exchanges with transaction cost analysis
Performance tracking with real-time P&L calculation and attribution analysis
Market data processing handling millions of ticks per second with zero data loss
Data Pipeline
Massively parallel data ingestion and processing system built in Golang for handling real-time market data from hundreds of sources. The pipeline normalizes, validates, and enriches market data while maintaining microsecond-level timestamps and ensuring zero data loss through redundant processing paths.
Golang
Apache Kafka
TimescaleDB
Redis
Protocol Buffers
Real-time market data normalization across multiple exchanges and asset classes
Feature engineering pipeline generating thousands of technical indicators in real-time
Data quality validation with automatic anomaly detection and correction
Historical data management with efficient compression and retrieval systems
Alternative data integration including satellite imagery, news sentiment, and economic indicators
Compliance Layer
Automated regulatory compliance system ensuring all trading activities meet SEBI guidelines and international standards. The system monitors trades in real-time, generates regulatory reports automatically, and maintains comprehensive audit trails for all system activities with cryptographic integrity guarantees.
Golang
PostgreSQL
Ethereum
IPFS
Apache Airflow
Real-time trade surveillance detecting potential market manipulation or insider trading
Automated regulatory reporting with direct submission to regulatory authorities
Comprehensive audit trail maintenance with blockchain-based integrity verification
Risk limit enforcement with automatic position reduction when limits are breached
Client suitability monitoring ensuring appropriate investment recommendations
Regulatory Transparency & Compliance
Complete transparency and auditability as per regulatory guidelines. Every line of code, deployment decision, and system event is logged with cryptographic integrity and made available to regulators and auditors on demand. Our compliance framework exceeds SEBI requirements and international standards.

Available on Demand

Complete strategy source code with full version history and commit signatures for every change made to trading algorithms
Comprehensive deployment logs including build artifacts, configuration files, and environment variables used in production
Real-time execution traces showing every decision made by alphabench with millisecond-precision timestamps
Detailed performance attribution analysis breaking down returns by strategy, factor, and time period
Complete trade execution audit trails including order routing decisions and market impact analysis
System health monitoring data including latency metrics, error rates, and resource utilization patterns

Compliance Features

Immutable audit trails using Merkle tree structures with cryptographic integrity proofs preventing any tampering
Real-time regulatory reporting automation with direct API integration to SEBI and other regulatory bodies
Automated compliance monitoring with machine learning-based anomaly detection for suspicious trading patterns
Version-controlled strategy deployments with multi-signature approval processes and automated rollback capabilities
Comprehensive risk management logging including VaR calculations, stress test results, and limit breach notifications
Third-party audit support with standardized reporting formats and direct database access for independent verification
0.3ms
Average Decision Latency
End-to-end processing time
99.99%
System Uptime
Including planned maintenance
50TB
Daily Data Processing
Market data and analytics
Zero
Security Incidents
Since system inception