CEREBRAQUANT ACADEMY / 03

Learn the method.
Master the practice.

31 programmes connecting mathematics, data, Python and rigorous quantitative validation. Advanced live online training for individuals and organizations.

THEORY→MODELING→PYTHON→VALIDATION
01 — FULL CATALOGUE · 31 COURSES

Every programme.
A tailored learning journey.

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.

31 courses shown · 8 areas

05 COURSES

Algorithmic Trading Foundations

CQ ACADEMY / 01

Getting Started with Algorithmic Trading

Introduction to algorithmic trading, research workflow, signals and backtesting.

FoundationPYTHON / QUANT
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CQ ACADEMY / 02

Stock Market Basics

Equity markets, instruments, transactions and market mechanics.

FoundationPYTHON / QUANT
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CQ ACADEMY / 03

Getting Market Data

Market data acquisition, cleaning and preparation in Python.

FoundationPYTHON / QUANT
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CQ ACADEMY / 04

Data & Feature Engineering for Trading

Feature construction, time-series processing and prevention of data biases.

IntermediatePYTHON / QUANT
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CQ ACADEMY / 05

Financial Time Series Analysis for Trading

Statistical methods and financial time-series models for trading.

IntermediatePYTHON / QUANT
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05 COURSES

Algorithmic Trading Strategies

CQ ACADEMY / 06

Technical Indicators Strategies

Technical indicators, systematic rules and signal validation.

IntermediatePYTHON / QUANT
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CQ ACADEMY / 07

Day Trading Strategies

Intraday strategies, market data, execution and risk controls.

IntermediatePYTHON / QUANT
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CQ ACADEMY / 08

Mean Reversion Strategies

Stationarity, cointegration and mean-reversion strategy design.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 09

Momentum Trading Strategies

Trend and cross-sectional momentum with robust backtesting.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 10

Short Selling in Trading

Short selling, long/short exposures, risk and execution constraints.

AdvancedPYTHON / QUANT
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05 COURSES

Financial Markets & Quantitative Systems

CQ ACADEMY / 11

Forex Trading

Foreign-exchange markets, FX mechanics and systematic strategies.

IntermediatePYTHON / QUANT
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CQ ACADEMY / 13

Crypto Trading Strategies

Crypto markets, quantitative strategy design and evaluation.

IntermediatePYTHON / QUANT
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CQ ACADEMY / 14

Quantitative Trading Strategies and Models

Quantitative trading models, decision rules and empirical evaluation.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 15

Quantitative Portfolio Management

Portfolio construction, factors, allocation and risk.

AdvancedPYTHON / QUANT
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05 COURSES

Machine Learning for Algorithmic Trading

CQ ACADEMY / 16

Trading with Regression

Regression models, market signals and predictive validation.

IntermediatePYTHON / QUANT
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CQ ACADEMY / 17

Trading with Classification and SVM

Classification, SVM and financial model validation protocols.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 18

Unsupervised Learning in Trading

Clustering and unsupervised learning for financial time series.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 19

Decision Trees in Trading

Decision trees, ensembles and quantitative signal applications.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 20

Quantitative Trading Project

Integrated project: research, Python strategy, backtesting and reporting.

ProjectPYTHON / QUANT
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05 COURSES

Advanced AI for Trading Systems

CQ ACADEMY / 21

Neural Networks in Trading

Neural networks, predictive modeling and financial validation.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 22

Deep Reinforcement Learning in Trading

Deep reinforcement learning for sequential trading decisions.

ExpertPYTHON / QUANT
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CQ ACADEMY / 23

NLP in Trading

Financial natural language processing, textual signals and transformer models.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 24

News Sentiment Trading Strategies

News sentiment analysis and event-driven trading strategies.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 25

Machine Learning for Option Trading

Machine learning for options and implied volatility.

ExpertPYTHON / QUANT
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03 COURSES

Derivatives & Volatility Trading

CQ ACADEMY / 27

Volatility Trading Strategies

Volatility-driven strategies, instruments and risk controls.

AdvancedPYTHON / QUANT
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CQ ACADEMY / 28

Option Volatility Trading

Implied volatility, volatility surfaces and quantitative approaches.

ExpertPYTHON / QUANT
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01 COURSES

Trading Infrastructure & Deployment

CQ ACADEMY / 29

Quantitative Trading Infrastructure & Strategy Deployment

Software infrastructure, advanced backtesting, validation and deployment.

ProfessionalPYTHON / QUANT
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02 COURSES

Professional Quantitative Trading Project

CQ ACADEMY / 30

Professional Quantitative Trading Project

Capstone project: quantitative strategy, testing and presentation.

ProjectPYTHON / QUANT
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CQ ACADEMY / 31

Professional Quant Career Preparation

Quant interview preparation, case studies and career readiness.

ProfessionalPYTHON / QUANT
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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.

02 — TWO WAYS TO LEARN

Training tailored
to your needs.

INDIVIDUAL LEARNING

Individuals & professionals

Live masterclasses and intensive courses, hands-on exercises and teaching materials.

Ask about upcoming sessions ↗
CORPORATE TRAINING

Companies & teams

Programs tailored to your team's needs, technical level and learning objectives, by quotation.

Request a corporate quote ↗
03 — TEACHING PREVIEW

Strong foundations.
Hands-on practice.

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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CerebraQuant Academy algorithmic trading course coverACTUAL TEACHING MATERIAL