Textual Analysis for Market Prediction

Can textual sources be used to predict certain asset price movements?

If so, how? The course investigates how to amass a corpus of textual data, vectorise it and perform a simple sentiment analysis.

Suitability

This course is for Tech Analysts, S&T Analysts (optionally).

Learning Outcomes

Following the course, participants will be able to:

Query social media and search engine APIs (Twitter, Google) to return relevant content
Perform essential NLP (Natural language Processing) operations like creating corpora, vectorisation, computing word frequency scores
Implement a simplified, dictionary based sentiment analyser and evaluate its strengths and limitations
Identify third party solutions that implement the above functionality

Course Content

Web scraping: what is it?

What ethical, regulatory and operational issues arise in scraping content from the web?

GDPR and similar legislation

Consent
Authentication
Storing scraped data

Automating the process

Query the Google search API to return a list of themed news items

Introduction to NLP

What it can and can’t do
Key concepts: vectorisation, n-grams, word frequency counts
Installing and importing the standard python NLP library, word2vec. Run the above functions on the dataset we have loaded from Google
Implement an off-the-shelf dictionary-based sentiment analyser and evaluate its strengths and limitations
Map the timestamped sentiment drivers to a price series
Run a regression model to test the hypothesis and determine statistical validity (correlation and p-score)

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of a cohort was promoted within 2 years after participating in an Alpha course.

96%

of participants felt more confident in their role, following an Alpha commercial leadership course.

Why study with Alpha?

Innovation and creativity born from experience

We are thought leaders in instructional and learning journey design and holistic solution architects. We have extensive finance and investments experience combined with skills application to deliver performance improving results. We develop immersive learning environments that maximize time to productivity, support talent retention and added value to improving quality of hires.

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We are focused on mining the embedded organisational intellectual capital for the benefit of the next generation. We create and curate best in class practice gathered from our experience with the leading financial institutions. We design our programmes with the end in mind – what results are you trying to achieve with this intervention? What metrics will we set ourselves to achieve that?

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Quality and innovation, using current market and industry best practices, have made us a trusted partner in delivering dynamic and motivating training for the financial and capital markets. Our programmes are generation proof and responsive to evolving learner needs and styles. Our solutions use a multi-stakeholder engagement strategy that expands beyond relationships between the learner and learning provider. We create connections with managers, peers and the wider business to drive impactful return on investment..

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