Summary：Exciting MoexAPI 1.6.48 Release Unveils Powerful New Trading Tools *Python API for MOEX ISS* **Int

Exciting MoexAPI 1.6.48 Release Unveils Powerful New Trading Tools
*Python API for MOEX ISS*

**Introduction**
The Moscow Exchange (MOEX) continues to strengthen its digital ecosystem with the launch of MoexAPI version 1.6.48, a milestone update that equips Python developers with a suite of advanced trading utilities. Announced on 3 November 2025, the release targets algorithmic traders, quantitative analysts, and fintech startups seeking faster, more reliable access to MOISS (MOEX Information Trading System) data. By refining core functions and adding new endpoints, the update aims to lower latency, improve data integrity, and simplify integration workflows for users operating in Russia’s capital markets.

**Key Developments**
Version 1.6.48 introduces three headline enhancements. First, the *order‑book streaming* module now supports bidirectional WebSocket connections, allowing real‑time bid/ask updates with sub‑millisecond latency—a critical upgrade for high‑frequency strategies. Second, a new *portfolio‑risk* endpoint calculates Value‑at‑Risk (VaR) and Expected Shortfall directly on the server, reducing the computational load on client applications. Third, the authentication flow has been migrated to OAuth 2.0 with token refresh capabilities, aligning the API with global security standards and simplifying token management for long‑running scripts.
Accompanying these features are expanded documentation, including Jupyter notebook examples that demonstrate back‑testing moving‑average crossover strategies on MOEX equities and futures. The release also patches several bugs related to timezone handling in historical data queries, ensuring consistency across daylight‑saving transitions.

**Industry Analysis**
Analysts note that the timing of MoexAPI 1.6.48 coincides with a surge in retail algorithmic trading activity on MOEX, driven by increased brokerage offerings that support API‑based order execution. By delivering lower‑latency market data and server‑side