Quant + AI
Trading Academy

Institutional-grade training for algorithmic traders. Master 20+ battle-tested strategies across all major platforms.

April 2026 Masterclass

EXPLORE COURSES JOIN MASTERCLASS

Join our 2-Month Intensive Masterclass

Python For Finance Track

Choose Your Path to Quantitative Mastery

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Entry Level

FOUNDATION

Master the core Python syntax and financial libraries required to build institutional-grade quantitative models.

  • Pandas & NumPy for Finance
  • Time-Series Data Management
  • Quantitative Math Essentials
  • Object-Oriented Trading Systems
Start Foundation
Advanced

Python & AI for Asset Management

Master modern portfolio construction and risk management using advanced Python, optimization solvers, and AI-driven factor models.

  • Mean-Variance & Black-Litterman
  • Statistical Factor Models
  • Value-at-Risk (VaR) & CVaR
  • Risk Budgeting & Attribution
Explore Asset Mgmt
Professional

Python & AI for Algorithmic Trading

Complete lifecycle of algorithmic trading: from vectorised backtesting and event-driven systems to live cloud deployment.

  • Vectorized & Event-Driven Backtesting
  • Connectors: Interactive Brokers & OANDA
  • Real-time Execution & Monitoring
  • Dockerized Cloud Deployment
Explore Algo Trading
Specialized

Python for Options / Derivative Trading

Advanced derivatives pricing and risk analysis using DX Analytics, Monte Carlo simulations, and complex scenario stress testing.

  • Black-Scholes & Local Volatility
  • Greeks Analysis & Delta Hedging
  • Monte Carlo for Exotic Options
  • Stochastic Volatility Models
Explore Options

Python + Artificial Intelligence Track

Advanced machine learning and data science for modern finance

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Analytics

Data Science Basics

Master financial data engineering: from cleaning messy tick data to advanced visualization of multi-asset correlations.

  • Financial Data Wrangling
  • Multi-Asset Correlation Analysis
  • Interactive Financial Dashboards
Explore Data Science
Neural Nets

Deep Learning with PyTorch

Architect complex neural networks for time-series forecasting, market regime detection, and price prediction.

  • LSTMs & GRUs for Sequence Data
  • Convolutional Nets for Chart Patterns
  • Autoencoders for Anomaly Detection
Explore Deep Learning
Adaptive

Reinforcement Learning

Design intelligent agents that learn optimal trading policies through interaction with simulated market environments.

  • Q-Learning & Policy Gradients
  • Gym-Finance Environments
  • Adaptive Hedging Strategies
Explore RL
Generative

Natural Language Processing

Extract alpha from alternative data: use transformers to analyze news sentiment, earnings calls, and social media.

  • BERT & FinBERT for Sentiment
  • Named Entity Recognition (NER)
  • LLM Agents for Research
Explore NLP

We conduct trainings at

Empowering the next generation of quantitative traders

Colleges

Specialized workshops and guest lectures for engineering and finance departments to bridge the gap between academia and live markets.

Corporates

Institutional-grade training for asset managers and prop firms looking to automate their execution and risk management stacks.

Special Seminars

Intensive weekend bootcamps and deep-dive seminars on specific topics like Reinforcement Learning and High-Frequency Trading.

What Our Students Say

Real experiences from our global community

Alex M

"The Python for Finance track completely changed how I look at market data. The strategy implementation is institutional grade."

Alex Rivera

Quantitative Analyst

Sarah K

"The AI track is mind-blowing. Implementing LSTMs for price prediction was something I thought was impossible for a solo trader."

Sarah Jenkins

Data Scientist

Michael T

"The special seminars are a must for anyone serious about HFT. The depth of knowledge provided is simply unparalleled in the industry."

Michael Tan

Prop Trader

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