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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Bloomberg API - Exploiting Professional Market Data training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Bloomberg API - Exploiting Professional Market Data training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Bloomberg API - Exploiting Professional Market Data training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Advanced installation of the BLPAPI library, setup of a professional development environment with Bloomberg Terminal, implementation of secure authentications via OAuth and persistent session management, initial practical exercises on extracting financial instrument references, real-market connectivity testing, production of a reusable base script for your company with code review by the trainer.
Exploration of reference, market data, and historical services via Bloomberg API, development of real-time subscriptions for live quotes and indices, exercises on bulk queries for large volumes of bond and equity data, intraday event handling with robust error management, concrete case of a trading desk simulating high-frequency data flows, creation of a connected prototype dashboard to visualize immediate performance impacts.
Design of advanced ETL pipelines integrating Bloomberg API with SQL/NoSQL databases, manipulation of large datasets with Pandas and NumPy for quantitative analysis, implementation of real-time transformations for trading signals, practical exercises on backtesting strategies with Bloomberg historical data, resolution of real corporate cases such as portfolio hedging, generation of automated certified reports for regulatory compliance.
Performance optimization techniques for high-load queries via caching and throttling in Bloomberg API, containerization with Docker for scalable cloud deployments, setup of monitoring and alerting with Prometheus/Grafana, final exercises on the capstone project for a complete algo-trading system, load testing in simulated volatile market conditions, certified documentation and maintenance plan for immediate enterprise production integration.
Target audience
Quantitative analysts, fintech developers, corporate algo traders seeking advanced skills
Prerequisites
Proficiency in Python/Java, experience with REST/Websocket APIs, basics of financial markets
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