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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 - Integrating Real-Time Financial 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 - Integrating Real-Time Financial 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 - Integrating Real-Time Financial 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.
Complete installation of the Bloomberg API environment with the blpapi library in Python, secure configuration of the Bloomberg Terminal and creation of persistent sessions, practical exercises to authenticate and test connectivity, development of basic queries on stock and bond tickers, real-time price extraction with response validation, concrete business cases to produce first exploitable data streams, debugging common errors and initial performance optimization.
In-depth exploration of event management and subscriptions for real-time streams on indices, currencies, and commodities, hands-on exercises to subscribe to multiple streams without latency, historical data extraction via HistoricalDataRequest with date filters and custom fields, integration of ReferenceData for enriched metadata, practical cases inspired by trading desks to analyze volumes and volatility, production of structured datasets for quantitative analyses, robustness tests under simulated load in real market conditions.
Design of complete applications integrating Bloomberg API into enterprise workflows, development of automated scripts for daily reporting and trading alerts, performance optimization with correlation IDs and bulk requests, implementation of error monitoring and auto-reconnection, red thread project on real-time dashboard with data visualizations, deployment in simulated production environment, code review by expert trainer, delivery of ready-to-use deliverables for certified finance teams.
Target audience
Financial analysts, quants, data developers in finance for certified skills advancement
Prerequisites
Mastery of Python or C++, knowledge of financial markets and REST/Socket APIs
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