Getting Started with Algorithmic Trading
Introduction to algorithmic trading, research workflow, signals and backtesting.
Request syllabus & pricing ↗31 programmes connecting mathematics, data, Python and rigorous quantitative validation. Advanced live online training for individuals and organizations.
Explore 31 courses and workshops drawn from the original syllabi. Ask for a detailed syllabus, pricing and upcoming sessions. Courses are offered live online subject to scheduling.
Introduction to algorithmic trading, research workflow, signals and backtesting.
Request syllabus & pricing ↗Equity markets, instruments, transactions and market mechanics.
Request syllabus & pricing ↗Market data acquisition, cleaning and preparation in Python.
Request syllabus & pricing ↗Feature construction, time-series processing and prevention of data biases.
Request syllabus & pricing ↗Statistical methods and financial time-series models for trading.
Request syllabus & pricing ↗Technical indicators, systematic rules and signal validation.
Request syllabus & pricing ↗Intraday strategies, market data, execution and risk controls.
Request syllabus & pricing ↗Stationarity, cointegration and mean-reversion strategy design.
Request syllabus & pricing ↗Trend and cross-sectional momentum with robust backtesting.
Request syllabus & pricing ↗Short selling, long/short exposures, risk and execution constraints.
Request syllabus & pricing ↗Foreign-exchange markets, FX mechanics and systematic strategies.
Request syllabus & pricing ↗Futures contracts, trading strategies and risk management.
Request syllabus & pricing ↗Crypto markets, quantitative strategy design and evaluation.
Request syllabus & pricing ↗Quantitative trading models, decision rules and empirical evaluation.
Request syllabus & pricing ↗Portfolio construction, factors, allocation and risk.
Request syllabus & pricing ↗Regression models, market signals and predictive validation.
Request syllabus & pricing ↗Classification, SVM and financial model validation protocols.
Request syllabus & pricing ↗Clustering and unsupervised learning for financial time series.
Request syllabus & pricing ↗Decision trees, ensembles and quantitative signal applications.
Request syllabus & pricing ↗Integrated project: research, Python strategy, backtesting and reporting.
Request syllabus & pricing ↗Neural networks, predictive modeling and financial validation.
Request syllabus & pricing ↗Deep reinforcement learning for sequential trading decisions.
Request syllabus & pricing ↗Financial natural language processing, textual signals and transformer models.
Request syllabus & pricing ↗News sentiment analysis and event-driven trading strategies.
Request syllabus & pricing ↗Machine learning for options and implied volatility.
Request syllabus & pricing ↗Systematic options strategies, sensitivities and risk.
Request syllabus & pricing ↗Volatility-driven strategies, instruments and risk controls.
Request syllabus & pricing ↗Implied volatility, volatility surfaces and quantitative approaches.
Request syllabus & pricing ↗Software infrastructure, advanced backtesting, validation and deployment.
Request syllabus & pricing ↗Capstone project: quantitative strategy, testing and presentation.
Request syllabus & pricing ↗Quant interview preparation, case studies and career readiness.
Request syllabus & pricing ↗Proposed training catalogue based on 31 syllabi. These courses do not constitute an approved MSc degree, award ECTS, or imply that every session is currently scheduled.
Live masterclasses and intensive courses, hands-on exercises and teaching materials.
Ask about upcoming sessions ↗Programs tailored to your team's needs, technical level and learning objectives, by quotation.
Request a corporate quote ↗Example from an actual slide deck: “Algorithmic Trading — Introduction”. The module covers decision timing, causal backtesting, costs and risk assessment.
Full course material and coding labs are reserved for participants; this page showcases our teaching approach.
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ACTUAL TEACHING MATERIAL