Institutional-Grade Market Access

Execute advanced quant strategies with low-latency REST and WebSocket streams. Designed for high-frequency environments where every millisecond counts.

websocket_example.py
import websockets, json

async def connect_stratalerts():
    uri = "wss://api.stratalerts.com/v1/stream"
    async with websockets.connect(uri) as ws:
        await ws.send(json.dumps({
            "action": "subscribe",
            "params": ["orderflow.BTCUSD", "signals"]
        }))

        while True:
            data = await ws.recv()
            print(f"Live Signal: {data}")
Connectivity

Infrastructure for live execution and historical research.

REST Infrastructure

Unified REST Endpoints

Access granular historical data, manage your algorithmic sub-accounts, and query asset metadata through a low-overhead API surface built for programmatic trading.

GET /v1/market/history

Historical OHLCV

Backtest with deep history and repeatable market snapshots.

GET /v1/user/account

Account Oversight

Programmatic access to balances, limits, and configuration surfaces.

Real-Time

Sub-10ms Streams

Stream signals, order-flow changes, and cross-market activity into your execution engine with low-latency subscription channels.

  • Live Order Flow Imbalance
  • Institutional Sentiment Feeds
  • Multi-exchange Ticker Aggregation
Developer Ecosystem

SDKs for the modern quant stack.

Use the same market surface from scripting, backend services, or desktop tooling.

Python SDK

Built for Pandas, NumPy, and batch research workflows.

View on GitHub

Node.js SDK

Event-driven streaming clients for low-latency ingestion.

NPM Package

Golang SDK

Typed concurrency-friendly tooling for execution services.

Go Documentation

.NET Core SDK

Optimized for institutional dashboards and desktop infrastructure.

NuGet Guide
API Surface

Realtime Market Access

REST + WebSocket delivery

Query history over HTTP and stream live updates into execution logic.

Equities, futures, and crypto

Scan cross-market opportunities from one normalized API surface.

20+ years of historical data

Support research, validation, and backtests with deep time-series access.

Security
Encryption Active

Security-First Architecture

API Key Management

Granular permissions, scoped access, and rapid rotation workflows.

Advanced Rate Limiting

Dynamic throughput controls with burst capacity during volatile sessions.

HMAC Signature Authentication

Cryptographic request signing to preserve integrity end to end.