*** Proof of Product ***
Exploring the Essential Features of “Quantra Quantinsti – All Course Bundle“
8 LEARNING TRACKS | 50+ COURSES
TRACK 1 : ALGORITHMIC TRADING FOR BEGINNERS
Use 25+ strategies like Intraday Trading, Machine Learning, and Quant techniques to optimize your trading portfolio.
FOUNDATION
- Getting Started with Algorithmic Trading!
- Python for Trading: Basic
- Getting Market Data: Stocks, Crypto, News & Fundamental
BEGINNER
- Day Trading Strategies for Beginners
- Volatility Trading Strategies for Beginners
- Backtesting Trading Strategies
INTERMEDIATE
- Event Driven Trading Strategies
- Financial Time Series Analysis for Trading
- Statistical Arbitrage Trading
TRACK 2 : TECHNICAL ANALYSIS USING QUANTITATIVE METHODS
Technical indicators and candlesticks, sentiment trading, swing trading, volatility trading and backtesting.
BEGINNER
- Candlestick Patterns based Automated Trading
- Swing Trading Strategies
- Technical Indicators Strategies in Python
INTERMEDIATE
- Price Action Trading Strategies Using Python
- Python For Trading!
- Quantitative Trading Strategies and Models
- Short Selling in Trading
TRACK 3 : QUANTITATIVE TRADING IN FUTURES AND OPTIONS MARKETS
Options pricing models and strategies such as gamma scalping, dispersion and delta hedging diversified futures trading strategies.
FOUNDATION
- Options Trading Strategies In Python: Basic
BEGINNER
- Futures Trading: Concepts & Strategies
INTERMEDIATE
- Options Trading Strategies In Python: Intermediate
- Systematic Options Trading
- Trading using Options Sentiment Indicators
ADVANCED
- Options Trading Strategies In Python: Advanced
- Options Volatility Trading: Concepts and Strategies
TRACK 4 : MACHINE LEARNING & DEEP LEARNING IN TRADING – I
From data cleaning aspects to optimising AI models, learn how to create your prediction algorithms using classification and regression techniques.
FOUNDATION
- Introduction to Machine Learning for Trading
BEGINNER
- Trading with Machine Learning: Regression
- Python for Machine Learning in Finance
INTERMEDIATE
- Data & Feature Engineering for Trading
- Decision Trees in Trading
- Trading with Machine Learning: Classification and SVM
TRACK 5 : MACHINE LEARNING & DEEP LEARNING IN TRADING – II
Step-wise training on the complete lifecycle of trading strategies and portfolio management using machine learning. Learn from experts!
INTERMEDIATE
- Natural Language Processing in Trading
- Unsupervised Learning in Trading
ADVANCED
- Neural Networks in Trading
- Deep Reinforcement Learning in Trading
- Machine Learning for Options Trading
TRACK 6 : ALGORITHMIC TRADING IN CRYPTOCURRENCY AND FOREX
8+ strategies such as Ichimoku Cloud, Aroon Indicator, unsupervised learning and pairs trading to trade cryptocurrencies & FX markets effectively.
BEGINNER
- Forex Trading using Python: Basics
INTERMEDIATE
- Value Strategy in Forex
- Crypto Trading Strategies: Intermediate
ADVANCED
- Crypto Trading Strategies: Advanced
TRACK 7 : PORTFOLIO MANAGEMENT AND POSITION SIZING USING QUANTITATIVE METHODS
Apply effective position sizing techniques and optimise your portfolio. Include machine learning to gain a competitive edge.
BEGINNER
- Quantitative Portfolio Management
INTERMEDIATE
- Position Sizing in Trading
- Factor Investing: Concepts and Strategies
ADVANCED
- Portfolio Management using Machine Learning: Hierarchical Risk Parity
- AI for Portfolio Management: LSTM Networks
TRACK 8 : ADVANCED ALGORITHMIC TRADING STRATEGIES
A series of courses where you will learn more than 18+ new strategies such as mean-reversion, index arbitrage, long-short, breakout, ARIMA, GARCH
BEGINNER
- News Sentiment Trading Strategies
INTERMEDIATE
- Mean Reversion Strategies In Python
- Momentum Trading Strategies
ADVANCED
- Trading Alphas: Mining, Optimisation, and System Design
- Trading in Milliseconds: MFT Strategies & Setup
- Advanced Momentum Trading: Machine Learning Strategies
Please see the full list of alternative group-buy courses available here: https://lunacourse.com/shop/
