Big Data for Market Finance
At SESAMm, we analyze billions of news articles, social media messages, blogs and forums posts to help predict financial markets movements. Our goal is to bring new relevant information to asset managers, investments banks, hedge funds and brokers across the world.
We specialize in identifying major emotions trends and behavioral biases. Our toolset consists of natural language processing, quantitative analysis and machine learning applied to Big Data. We rely on artificial intelligence to make sense of textual information and implement those algorithms on distributed computing architectures to optimize the processing of very large datasets.
Big Data tools
We extract, store and analyze billions of messages, posts and articles from various sources. We rely on storage facilities designed for Big Data and distributed computing architectures based on large clusters of machines.
We develop our own Natural Language Processing algorithms to analyze textual data. We focus on subjectivity, which includes sentiment, emotions and opinions of asset managers, influential individuals and consumers.
We use machine learning and quantitative analysis to describe complex relationships between sentiment, emotions or opinions and financial markets. This allows us to generate predictive indicators based on textual data.
L'humeur des marchés
By combining Artificial Intelligence, Natural Language Processing and Quantitative Analysis from SESAMm’s R&D, we have developed L’Humeur des Marchés, a new data-visualization solution.
Obtain an informational advantage by using our analytics, insights, and graphs on all major financial assets worldwide.
SESAMm was selected to take part in The BIG Alternative Data Showcase Event by Eagle Alpha!
The latest issue from this financial review is featuring L’Humeur des Marchés!
Discover now everything about the v3.0 update of l’Humeur des Marchés!
Social Media in Finance BNP Paribas
Aurexia Fintech Awards Asset Management
FinTech Awards Luxembourg Finals
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Pépinière Synergie Lorraine
11 Rempart Saint thiébault - 57000 Metz
28 Rue du Chemin Vert - 75011 Paris
Lux Future Lab
59 Boulevard Royal L-2449 Luxembourg