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comment avoir la carte binance what term refers to ethereum consensus algorithm transitionPython SDK for Morningstar Data Integration

¥399.00
SKU: PY-MSTAR-API9
Category: Software > Developer Tools > Finance APIs
Python SDK Morningstar integration Financial data API Quant research Portfolio analytics Backtesting
A robust Python client that streamlines connecting your apps and research pipelines to Morningstar data services—faster setup, cleaner code, and reliable results.
Deliver insights faster with a rigorously engineered Python toolkit for accessing Morningstar data services. Designed for data engineers, quants, and fintech builders, it abstracts away low-level plumbing while remaining flexible for advanced workflows. Key features: - Simplified authentication: Helpers for token-based and credential-based flows as supported by your licensed plan. - Reliable requests: Built-in pagination, exponential backoff, retries, and structured errors. - Rich data handling: Convert responses to pandas DataFrames or JSON, with optional CSV export. - Endpoint coverage: Patterns and utilities for common domains such as equities, funds, ratings, prices, and fundamentals (availability depends on your Morningstar subscription and entitlements). - Rate-limit awareness: Adaptive pacing and caching options to stay within policy while maintaining throughput. - Developer ergonomics: Type hints, docstrings, logging hooks, and environment-based configuration (local, staging, production). - CLI utilities: Run quick checks, schema inspections, and sample pulls directly from your terminal. What’s included: - Source package with modular client, request builders, and parsers. - Usage guide, quickstart notebook, and endpoint templates. - Example ETL jobs for scheduled syncs and delta updates. - 12 months of updates and email support (response within 2 business days). Use cases: - Quant research and backtesting with clean, typed datasets. - Portfolio analytics and risk dashboards powered by repeatable pipelines. - Data engineering for warehousing fundamentals and performance metrics. - Rapid prototyping of investment tools and internal research portals. Technical details: - Requirements: Python 3.9+; pandas optional but recommended. - Installation: Provided as a private wheel/zip with instructions; supports virtualenv/poetry. - OS: Windows, macOS, Linux. - Security: No credentials stored in code; supports environment variables and secrets managers. Compliance & licensing: - You must have an active Morningstar API license and valid credentials. Endpoint availability, data coverage, and rate limits are governed by your Morningstar agreement. - This product is an independent client toolkit and is not affiliated with, endorsed by, or certified by Morningstar. Morningstar is a trademark of its respective owner. Deliver cleaner integrations, reduce maintenance overhead, and turn raw data into ready-to-use analytics—without reinventing the plumbing.

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