Learners will analyze derivatives pricing, evaluate behavioral and sentiment-driven market dynamics, apply statistical reasoning to financial data, and construct objective trading systems and models for disciplined decision-making.
Analyze and Build Trading Systems Using Market Models
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Analyze derivatives pricing, volatility, and arbitrage concepts to understand market behavior.
Apply behavioral finance, sentiment indicators, and statistical reasoning to financial data.
Design and evaluate objective, rule-based trading systems for disciplined decision-making.
Skills you'll gain
Details to know
Shareable certificate
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Recently updated!
January 2026
Assessments
15 assignments
Taught in English
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There are 4 modules in this course
This module introduces the foundational concepts of derivatives pricing and market structure, focusing on implied volatility, arbitrage-based pricing relationships, and the role of noise traders in influencing asset prices. Learners explore how pricing efficiency is challenged by behavioral factors and trading dynamics.
What's included
9 videos4 assignments
This module explores behavioral finance theories and sentiment indicators that explain deviations from fundamental value. Learners study herding behavior, informed versus uninformed market participants, and practical tools used to measure and interpret market sentiment.
What's included
8 videos4 assignments
This module builds essential statistical literacy for market analysis, covering descriptive statistics, probability distributions, and data interpretation techniques. Learners develop the ability to evaluate market data objectively and avoid common analytical pitfalls.
What's included
8 videos4 assignments
This module focuses on the design, evaluation, and implementation of technical trading systems and quantitative models. Learners examine performance measurement, behavioral bias, capital preservation principles, and structured model-building processes.
What's included
10 videos3 assignments
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