Quantra Quantinsti – All Courses Bundle

Description

All Courses Bundle , Quantra Quantinsti – All Courses Bundle download

Quantra Quantinsti – All Courses Bundle

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 StrategiesCommonly Asked Questions:
  1. Business Model Innovation: Acknowledge the reality of a legitimate enterprise! Our approach involves the coordination of a collective purchase, in which the costs are shared among the participants. We utilize this cash to acquire renowned courses from sale pages and make them accessible to individuals with restricted financial resources. Our clients appreciate the affordability and accessibility we provide, despite the authors’ concerns.
  2. All Courses Bundle Course
  • There are no scheduled coaching calls or sessions with the author.
  • Access to the author’s private Facebook group or web portal is not permitted.
  • No access to the author’s private membership forum.
  • There is no direct email support available from the author or their team.