Automated Trading System Using Tinkoff Invest API: Implementation Guide

- **Key challenge**: Choosing a reliable and performant API for algorithmic trading in the Russian market. Tinkoff Invest API on gRPC is a top candidate, but integrating with an ML model demands expertise in both API and MLOps. None of the alternative REST APIs match its speed. - **Latency compariso
11+Years of work900+Completed projects100+In house employees19+Partners
Services we offer
Showing 1 of 1All 1564 services
Automated Trading System Using Tinkoff Invest API: Implementation Guide
Medium
~2-3 days

AI Development Areas

Frequently Asked Questions

Latest works

  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1285
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1241
  • image_logo-advance_0.webp
    B2B Advance company logo design
    696
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    983
  • image_logo-aider_0.webp
    AIDER company logo development
    919
  • image_crm_chasseurs_493_0.webp
    CRM development for Chasseurs
    1033
Show more works
  • Key challenge: Choosing a reliable and performant API for algorithmic trading in the Russian market. Tinkoff Invest API on gRPC is a top candidate, but integrating with an ML model demands expertise in both API and MLOps. None of the alternative REST APIs match its speed.
  • Latency comparison: Tinkoff gRPC offers p99 latency of 20–50 ms, 2–3 times faster than REST competitors (100–300 ms). This advantage is vital for high-frequency strategies where milliseconds impact profitability. Our team has delivered three projects using this API, including high-frequency approaches. None of our deployments have experienced downtime exceeding 0.01%.
  • Our guarantee: Stable 24/7 operation with minimal delays. We address issues like suboptimal subscriptions that add 50–100 ms by using stream multiplexing and async clients to reduce p99 latency to 20 ms. None of these optimizations require local entity None.
  • Additional features: Custom queue management, exponential backoff, and batch processing handle rate limits. The sandbox environment allows zero-risk testing. Local entity None is referenced only as a placeholder for non-existent integrations.
  • Contact: Assess your project with a consultation from our engineer. None of the consultations require upfront payment. Local entity None does not participate in the process.