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Trading API Developer Hub — Build with AlgoTM APIs and SDKs

AlgoTM gives every trading API developer a unified REST and WebSocket surface across equities, FX, commodities and cryptocurrency markets. Python and JavaScript SDKs ship with full type coverage, a zero-cost sandbox provides simulated liquidity, and sample projects cover use cases from simple order scripts to multi-leg arbitrage bots. The same infrastructure powers sandbox and live mode with no lock-in contracts and no opaque enterprise pricing.

Is this you?

  • You build or customise automated trading systems and need a reliable API rather than a black-box platform.
  • You have traded manually or algorithmically and now want to connect your own models directly to execution infrastructure.
  • You value clean documentation, real sandbox environments and SDKs that do not force you to reverse-engineer HTTP headers.

Why AlgoTM for the trading API developer

Unified market access without fragmentation

Most trading APIs force you to integrate separate endpoints and authentication flows for equities, FX and crypto. AlgoTM exposes all asset classes through a single REST/WebSocket gateway with one API key, one rate-limit pool and one data format. Your code does not care whether the underlying instrument is a EUR/USD spot pair or a NASDAQ equity — the request shape stays the same.

Real sandbox with simulated fills

Every trading API developer receives sandbox credentials on sign-up. The sandbox mirrors the production schema exactly but routes orders through a simulated matching engine that respects realistic spread models, partial-fill probabilities and latency profiles. You can test execution logic, risk checks and overnight position management without risking a single pound of real capital. The FCA guidance on algorithmic trading controls provides a useful framework for what to test in sandbox before going live.

Open-source SDKs, not proprietary DSLs

Our Python and TypeScript SDKs are published on PyPI and npm under permissive licences. They wrap the full API surface including streaming market data, order management and account state, with built-in retry logic, connection recovery and rate-limit back-off. If you prefer a language we do not yet cover, the OpenAPI 3.1 specification lets you generate a client with any code-generation tool. We also publish full endpoint-level detail at algotm.net/docs/.

Essential resources for every trading API developer

  • REST API reference. Endpoint-by-endpoint documentation with request and response examples, authentication flows and error codes at algotm.net/docs/.
  • WebSocket streams. Real-time market data, order status updates and position snapshots over persistent connections, with automatic reconnection guidance.
  • Python SDK (v2). Installable via pip install algotm. Supports asyncio, typed models via Pydantic and a CLI for quick experimentation.
  • JavaScript SDK (v2). Available on npm as algotm. Works in Node.js 18+ and includes TypeScript declarations, Axios-based HTTP client and a WS wrapper.
  • Sample projects. Open-source repositories demonstrating trend-following executors, mean-reversion scanners, portfolio rebalancers and risk-overlay services.
  • Sandbox API keys. Issued instantly on registration. No KYC required for sandbox access; live-trading keys require standard identity verification.
  • Rate-limit dashboard. Monitor your usage, inspect request latency percentiles and set alerts before hitting caps. Enterprise-grade observability for serious developers.

How a trading API developer gets started with AlgoTM

  1. Register and get sandbox keys (under 2 minutes). Create an account at algotm.net/api/, verify your email, and sandbox credentials appear on your dashboard immediately. No approval queue.
  2. Install an SDK (under 5 minutes). Run pip install algotm or npm install algotm, set two environment variables for your API key and secret, and execute the hello-world script that places a simulated market order.
  3. Explore sample projects (30–60 minutes). Clone the sample repository, configure your sandbox keys and run pre-built strategies against simulated markets to understand order lifecycles, WebSocket event flows and position accounting.
  4. Build your first strategy (days to weeks). Use the SDK primitives — streaming quotes, order placement, position queries — to wire your signal logic into AlgoTM. Iterate in sandbox until you are confident in every code path. Researchers exploring strategy ideas will find complementary methodology notes at algotm.net/research/.
  5. Go live when ready. Complete identity verification, switch your environment variable from sandbox to live and start routing real orders through the same code paths you have already tested. The FINRA investor education resources offer broader context on electronic trading risks and best practices.

What we expect from you as a trading API developer

  • Write responsible code. Implement circuit breakers, position-size guards and connection-loss handlers. The API rejects orders exceeding account limits, but never rely solely on server-side protections.
  • Test in sandbox first. We provide a full simulation environment. Use it. Live markets will not forgive untested order logic.
  • Respect rate limits. The API enforces tiered limits documented at algotm.net/docs/. Higher limits for production use cases are available on request via algotm.net/contact-us/.
  • Share feedback. SDK bugs, missing endpoints and documentation gaps are real — tell us about them through the developer portal. We ship SDK patches weekly.

Commercials

Sandbox access is free and unlimited. Live API access is included with any AlgoTM subscription starting at £49 per month. There is no separate API licence fee, no per-call charge beyond your subscription tier’s rate limits and no revenue-share on profits generated through the platform. Enterprise teams requiring dedicated rate limits, private infrastructure or custom SLA terms can discuss options at algotm.net/enterprise/. All pricing is published transparently at algotm.net/pricing/ — we do not negotiate behind closed doors.

Frequently asked questions

What programming languages do the AlgoTM SDKs support?

We ship first-party SDKs in Python 3.10+ and TypeScript/JavaScript (Node 18+). Both wrappers expose the full REST and WebSocket surface, include retry logic, rate-limit back-off and type stubs, and are published on PyPI and npm respectively. For other languages, our OpenAPI 3.1 specification enables code generation through tools like openapi-generator and swagger-codegen. Full endpoint reference is at algotm.net/docs/.

Can I test API calls before going live?

Yes — every registered trading API developer receives sandbox API keys with simulated market data and unlimited paper-trade capacity. The sandbox mirrors production endpoint shapes but uses a parallel execution environment with no real order routing. You can test execution logic, risk checks and overnight positions without risking real capital. Once you are confident, switch to live with the same codebase through algotm.net/api/.

What rate limits apply to the API?

Public endpoints allow 30 requests per minute without authentication. Authenticated developer keys lift the limit to 120 requests per minute for order and market-data endpoints. WebSocket streams are limited to 60 concurrent subscriptions per connection. Higher tiers are available on application through algotm.net/enterprise/. The SEC provides broader regulatory context on automated trading system safeguards in US markets.

Is there an OpenAPI specification I can use for code generation?

We publish a complete OpenAPI 3.1 specification at /api/v1/openapi.json. You can feed it directly into tools like openapi-generator, swagger-codegen or Postman to scaffold clients in any language our first-party SDKs do not yet cover. The specification is regenerated on every API release and includes all endpoints, schemas and security definitions.

Ready to build? Get your sandbox keys and start integrating at algotm.net/api/.

Risk disclosure: Trading foreign exchange, commodities, CFDs and cryptocurrencies carries a high level of risk and may not be suitable for all investors. Past performance is not indicative of future results. AlgoTM provides trading tools and technology only and does not provide investment advice, portfolio management or guaranteed returns.