53módulos
1470lecciones
13 GBde contenido
Todoslos niveles
Trading
Master Quantitative & Algorithmic Trading – Quantra – Learn 185+ trading strategies
$29.00
- Formación completa organizada en 53 módulos
- 1470 lecciones en vídeo explicadas paso a paso
- Más de 81 horas de contenido en vídeo
- Acceso inmediato al curso tras la compra
- Acceso de por vida sin pagos recurrentes
- 1077 documentos de apoyo, guías y material descargable
Acceso inmediato de por vida
Garantía de 7 días de devolución o dinero
Pago 100% seguro y verificado
Temario del curso
53 módulos · 1470 clases · 81 h 2 min de vídeo
Módulo 1 · Automated Trading with IBridgePy using Interactive Brokers Platform11 clases · 37 min
Introduction to IBridgePy2 clases · 6 min
- Quantra Features and Guidance
- Introduction to IBridgePy
- Installation Steps · Python Environment
- Code Structure
Fetch Data2 clases · 8 min
- How to Fetch Real-Time Data？
- How to Fetch Historical Data？
Orders Management2 clases · 9 min
- How to Place and Cancel Order？
- How to Retrieve Open Orders？
- Portfolio Management · Positions Tracking
- Trading Strategy Implementation · Simple Moving Average Crossover
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 2 · Introduction to Data Science13 clases · 34 min
Introduction3 clases · 7 min
- Introduction to Data Science
- Concepts Covered in This Course
- Quantra Features and Guidance
- Problem Statement · Asking right questions for Problem Statement
- Data Collection · Primary and Secondary Data Collection Methods
Data Quality and Remediation2 clases · 5 min
- Factors Causing Data Quality Issues
- Data Quality Issues and Remediation
- Data Analysis · What is Data Analysis#
- Exploratory Data Analysis in Python · How to Use Jupyter Notebook？
- Data Modelling · What is Data Modelling#
- Communicating Results
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary
Módulo 3 · Investing in Global Markets10 clases · 37 min
- Why Invest in Global Markets
How to Invest in Global Markets5 clases · 16 min
- How to Invest in Global Markets
- Direct Investment & Mutual Funds
- Investment Advisors & ETF
- Popular ETFs
- Comparison of Investment Options
Key Points to Note Before Investing3 clases · 12 min
- Points to Note Before Investing
- Regulations & Cost
- Taxes
- Summary
Módulo 4 · Quant Interview Questions Preparation7 clases · 45 min
Introduction2 clases · 7 min
- Introduction
- Resume Tips
- Aptitude · Podcast： Gaurav
- Python Basic · Podcast： Rob
- Time Series · Podcast： Rajib
Machine Learning2 clases · 17 min
- Podcast： Sameer
- Podcast： Dr. Ernest P Chan
Módulo 5 · Stock Market Basics21 clases · 1 h 9 min
Financial Markets3 clases · 8 min
- Welcome To The Course!
- Financial Markets
- Need For Financial Markets
Financial Instruments3 clases · 8 min
- Introduction To Financial Instruments
- Introduction To Financial Instruments
- Stocks
- Primary And Secondary Markets
Financial Intermediaries6 clases · 18 min
- Introduction To Various Intermediaries
- Brokers
- Central Securities Depository
- Stock Exchange
- Clearinghouses
- Financial Regulators
- Tracking Markets · Market Indices
Market Participants4 clases · 14 min
- Introduction
- Speculators
- Hedgers
- Arbitrageurs
- Types Of Markets · Various Financial Markets
- Market Terminology · Glossary
- Summary
Módulo 6 · Getting Started with Algorithmic Trading!28 clases · 1 h 14 min
Introduction4 clases · 12 min
- Introduction
- Certification Process
- Course Structure
- Quantra Features and Guidance
What is Algorithmic Trading？3 clases · 8 min
- What is Algorithmic Trading？
- Direct Market Access
- What is High-frequency trading？
Why Algorithmic Trading？4 clases · 8 min
- Why Go Algo (part 1)
- Why Go Algo (part 2)
- Why Go Algo (part 3)
- How to Start Algorithmic Trading
- Available Platforms & Languages
Strategy Paradigms5 clases · 14 min
- Types of Algorithmic Trading Strategies
- Market Making Strategy
- Statistical Arbitrage
- Momentum Based Strategies
- Machine Readable News & Ml
Introduction to Python3 clases · 7 min
- Need for Python
- How to Use Jupyter Notebook？
- Pandas Dataframe
- Financial Market Data and Visualisation · Importing Data
- Moving Average Crossover Strategy
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary
Módulo 7 · Python for Trading： Basic25 clases · 1 h 22 min
Welcome3 clases · 13 min
- Introduction
- If Algo, Then How Does Python Contribute？
- Quantra Features and Guidance
Hello Python4 clases · 11 min
- Python Environment
- Variables, Object References and Operators
- How to Use Jupyter Notebook？
- Learn Modules, Packages & Libraries
Expressions2 clases · 4 min
- Introduction to Time Value of Money
- Learn Compounding in Time Value of Money
Python Data Structures3 clases · 8 min
- What Are Lists？
- What Are Dictionaries？
- What Are Tuples and Sets？
Importing Data and Data Visualisation4 clases · 15 min
- What is Time Series Data？
- How to Import Time series data？
- How to Plot Market Data？
- What are Candlesticks？
- Functions · What Are Functions？
- Numpy · What Are NumPy Arrays？
- Pandas · Pandas and Data Manipulation
- Conditional Statements and Loops · What Are Conditional Statements and Loops？
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 8 · Getting Market Data： Stocks, Crypto, News & Fundamental3 clases · 7 min
Course Introduction2 clases · 5 min
- Introduction to the Course
- Course Structure
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 9 · Day Trading Strategies for Beginners32 clases · 1 h 29 min
Introduction to the Course4 clases · 13 min
- Prologue
- Course Overview
- Course Structure
- Quantra Features and Guidance
Introduction to Python3 clases · 7 min
- Need for Python
- How to Use Jupyter Notebook？
- Pandas Dataframe
- Financial Market Data and Visualisation · Importing Data
Basics of Financial Markets4 clases · 8 min
- Precap of Financial Markets
- Introduction to Financial Markets
- Introduction to Financial Instruments
- Financial Market Jargon
Intraday Trading2 clases · 5 min
- Overview of Intraday Trading
- How to Create a Stock Universe
Momentum Trading Strategies2 clases · 5 min
- Momentum Trading Strategies
- Gap-Up and Gap-Down
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Post Earnings Announcement Drift
Scalping3 clases · 9 min
- Introduction to Scalping
- ATR Scalping Strategy
- Exit Optimisation
High Frequency Trading Strategy4 clases · 9 min
- Exchange Order Types
- Order Book Parameters
- Order Book
- Ticking Strategy
Risk Management2 clases · 12 min
- Risk Management
- Podcast： Brian Blandin
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 10 · Volatility Trading Strategies for Beginners37 clases · 2 h 28 min
Introduction2 clases · 9 min
- Introduction
- Quantra Features and Guidance
Entry Signals3 clases · 9 min
- Section Overview
- Moving Average Crossover
- How to Use Jupyter Notebook？
- ATR · Measuring Volatility using ATR
- SL & TP using ATR · ATR to Determine Exits
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Measuring Volatility Using Standard Deviation2 clases · 5 min
- Standard Deviation
- Calculation of Standard Deviation
- Applications of Standard Deviation In Trading · How to Use Standard Deviation In Trading？
Bollinger Bands2 clases · 8 min
- Bollinger Bands Calculation
- Interpretation of Bollinger Bands
- Bollinger Bands Phases · Interpretation of Bollinger Bands Phases
- Breakout Strategy · Breakout Strategy Using Bollinger Phases
VIX6 clases · 27 min
- Introduction to VIX
- Types of Volatility
- Interpretation of VIX
- Types of VIX
- Webinar Snippet - Introduction to Volatility
- Webinar Snippet - Why Is VIX Called the Fear Index？
More on VIX3 clases · 14 min
- Calculation of VIX
- Properties of VIX
- VIX Derivatives
- Hedging Using VIX · Hedging With VIX ETF
- Selective Long on VIX · Selective Long VIX Strategy
- VIX Spread · VIX Spread Concept
- Understanding Beta · Beta and Its Interpretation
- Calculating Beta · How to Calculate Beta
Betting Against Beta2 clases · 7 min
- Application of Beta
- Betting Against Beta
- Research on BAB
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary · Summary
Módulo 11 · Backtesting Trading Strategies37 clases · 2 h 9 min
Introduction2 clases · 9 min
- Introduction
- Quantra Features and Guidance
Backtesting3 clases · 10 min
- What is Backtesting？
- Backtesting vs Simulation
- Backtesting Process
Financial Data4 clases · 18 min
- Financial Data
- Financial Data Storage
- How to Use Jupyter Notebook？
- Limitations of Financial Data
Data Pre-Processing2 clases · 9 min
- Data Pre-Processing
- Survivorship Bias
Trading Rules2 clases · 5 min
- Developing Trading Rules
- Entry and Exit Rules
Trade Level Analytics2 clases · 9 min
- Trade Level Analytics I
- Trade Level Analytics II
Performance Metrics3 clases · 9 min
- Equity Curve and CAGR
- Sharpe Ratio
- Maximum Drawdown
Risk Management2 clases · 8 min
- Stop-Loss and Take-Profit
- Guidelines For Setting Stop-Loss and Take-Profit
- Transaction Costs and Slippage
Paper Trading2 clases · 7 min
- Introduction to Paper Trading
- Things to Keep in Mind While Paper Trading
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Common Pitfalls in Backtesting4 clases · 13 min
- Biases to Avoid
- Common Mistakes Done With Trading Volume
- Data Snooping
- Over Reliance on Backtesting
FAQs4 clases · 11 min
- Ideal Time Period for Backtesting
- Number of Assets to Backtest On
- Risk Metrics and Sharpe Ratio
- Paper and Live Trading
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary · Summary
Módulo 12 · Event Driven Trading Strategies29 clases · 1 h 26 min
Introduction to the Course3 clases · 12 min
- Prologue
- Course Structure
- Quantra Features and Guidance
Introduction to Event Trading Strategies2 clases · 5 min
- Seasonal Event-driven Trading Strategies
- Theory Behind Event-driven Trading Strategies
Turn of Month Effect in Equities2 clases · 5 min
- Precap of Calendar Anomalies in Equities
- Turn of Months Effect
- Turn of Month Effect in Equities Code · How to Use Jupyter Notebook？
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Payday Effect in Equities · Payday Effect
- FED Day Effect in Equities · FED Day Effect
- Options Expiration Effect in Equities · Options Expiration Effect
- Auction Trading Effect in Fixed Income · Auction Trading Effect
- End of the Month Effect in Fixed Income · End of the Month Effect
Calendar Effect in Volatility Market2 clases · 7 min
- VIX Futures Expiration Effect
- VIX Futures Expiration Enhancement
- December Effect in Volatility Market · December Seasonality Effect
Composite Strategy4 clases · 9 min
- Introduction to Composite Seasonal Strategy
- Composite Strategy - Equal Weighted
- Composite Strategy - Volatility Weighted
- Composite Strategy - Enhanced Volatility
Composite Strategy Enhancement2 clases · 4 min
- Effect of Trading Cost
- Composite Strategy Improvement
- Effect of COVID-19
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 13 · Financial Time Series Analysis for Trading50 clases · 2 h 31 min
Introduction3 clases · 13 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
What is Time Series？3 clases · 7 min
- Introduction to Time Series
- Why is Time Series Analysis Required？
- When Is Time Series Analysis Not Required？
Simple and Cumulative Returns3 clases · 7 min
- Introduction to Returns
- Cumulative Returns
- How to Use Jupyter Notebook？
Log Returns2 clases · 5 min
- Log Prices
- Log Returns
Components of Time Series5 clases · 11 min
- Components of Time Series
- Trending Time Series
- Mean Reverting Time Series
- Cyclical Time Series
- Seasonal Time Series
- Linear Regression · Linear Regression Fundamentals
- Types of Errors · Types of Error Calculations
- Goodness of Fit · Introduction to Goodness of Fit
Multivariate Linear Regression2 clases · 4 min
- Multivariate Linear Regression
- Limitations and Advantages of Linear Regression
- Correlation Analysis · Correlation and Covariance
Autocorrelation and Partial Autocorrelation2 clases · 8 min
- What is Autocorrelation？
- What is Partial Autocorrelation？
- Noise
Autoregressive Model3 clases · 9 min
- Overview of Part II
- Autoregressive Model - I
- Autoregressive Model - II
- Moving Average Model
- ARMA · ARMA Model
- Stationarity
- ARIMA Model
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Introduction to Volatility2 clases · 6 min
- Fundamentals of Volatility
- Importance of Volatility
Stylised Facts and Importance of Volatility2 clases · 7 min
- Stylised Facts of Volatility
- Applications of Volatility
ARCH4 clases · 9 min
- Need for the ARCH and GARCH model
- Introduction to the ARCH Model
- Equation of the ARCH Model
- Performance Analysis of the ARCH Model
GARCH2 clases · 5 min
- Implementation of the GARCH Model
- Performance Analysis of the GARCH Model
- Limitations · Limitations of Time Series Analysis
- Future Enhancements
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 14 · Statistical Arbitrage Trading22 clases · 1 h 9 min
Definition and Background5 clases · 16 min
- Introduction of the Course
- Certification Process
- Quantra Features and Guidance
- Arbitrage Strategies in Commodities
- What is Statistical Arbitrage？
Statistical Concepts in Pairs Trading4 clases · 9 min
- Mean Reversion and Z-Score Overview
- What is Cointegration？
- How to Use Jupyter Notebook？
- How to Select Pairs？
Pairs Trading Strategy in Excel3 clases · 11 min
- Check for Cointegration of Pairs
- Generating Buy⧸Sell Signals： I
- Generating Buy⧸Sell Signals： II
Pairs Trading Strategy in Python3 clases · 14 min
- Import Libraries and Initialise Variables
- Define Functions
- Execute Pairs Trading Strategy
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Managing Risks in Stat Arb2 clases · 5 min
- Risks in Statistical Arbitrage
- Course Summary
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 15 · Candlestick Patterns based Automated Trading28 clases · 1 h 23 min
Introduction2 clases · 11 min
- Introduction
- Quantra Features and Guidance
Candlestick Patterns2 clases · 6 min
- All About Candlesticks
- What are Candlestick Patterns？
Bullish Marubozu Pattern3 clases · 8 min
- Bullish Marubozu
- Marubozu in Action
- How to Use Jupyter Notebook？
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Bearish Marubozu Pattern · Bearish Marubozu
Hammer Candlestick Pattern2 clases · 7 min
- Hammer Patterns
- Hammer Pattern in Action
Hanging Man Candlestick Pattern2 clases · 7 min
- Hanging Man
- Enhanced Hanging Man
- Shooting Star Candlestick Pattern · Shooting Star
Doji Candlestick Pattern2 clases · 4 min
- Doji Pattern
- Doji in Action
Engulfing Patterns2 clases · 5 min
- Bullish Engulfing Pattern
- Bearish Engulfing Pattern
Piercing Pattern2 clases · 5 min
- Piercing Pattern
- Piercing Pattern in Action
- Dark Cloud Cover
- Combining Candlestick Patterns
- Limitations of Candlestick Patterns
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary · Summary
Módulo 16 · Swing Trading Strategies35 clases · 1 h 40 min
Introduction3 clases · 12 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
Swing Trading Overview2 clases · 6 min
- What is Swing Trading？
- Properties of Swing Trading
- Swing Trading Style · Swing Trading Styles
Introduction to Python3 clases · 7 min
- Need for Python
- How to Use Jupyter Notebook？
- Pandas Dataframe
- Financial Market Data and Visualisation · Importing Data
- Strategic Plan
Technical Analysis in Trading2 clases · 6 min
- Technical Analysis in Trading
- Types of Technical Indicators
MACD3 clases · 7 min
- MACD Entry Points
- MACD Line & Signal Line
- MACD Histogram
Exit Strategy2 clases · 7 min
- Need of Exit Rules
- Exit Rules
Introduction to Backtesting2 clases · 5 min
- What is Backtesting？
- How to do Backtesting？
Different Performance Measures2 clases · 4 min
- Different Performance Measures
- Measuring Risk
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Optimum Number of Indicators
- Williams Fractals
Stock Screener3 clases · 8 min
- Need for Screening Stocks
- Identify Trending Stocks
- Identifying Direction of Trend
Risk Management2 clases · 5 min
- Risk Management
- Position Sizing
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 17 · Technical Indicators Strategies in Python42 clases · 2 h 34 min
Introduction2 clases · 7 min
- Introduction to the Course
- Quantra Features and Guidance
Principles of Technical Analysis2 clases · 6 min
- Principle of Technical Analysis
- Why Technical Analysis Gets a Bad Reputation？
- Trend is your Friend
Moving Average2 clases · 7 min
- Simple Moving Average
- How to Use Jupyter Notebook？
- Transaction Costs and Slippage
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Weighted Moving Average
- Exponential Moving Average
- Multiple Moving Averages · Moving Average Crossovers
MACD3 clases · 7 min
- MACD Entry Points
- MACD Line & Signal Line
- MACD Histogram
- ROC
Intuition and Interpretation of RSI2 clases · 7 min
- Intuition of RSI Indicator
- Interpret Values of RSI
Properties and Practical Application of RSI2 clases · 7 min
- Properties of RSI Indicator
- RSI in Action
Volume2 clases · 5 min
- Spikes in Volume
- On-Balance Volume
- Chaikin A⧸D
- Limitations of Chaikin A⧸D and On-Balance Volume · Limitations of OBV and Chaikin A⧸D
Putting It All Together2 clases · 8 min
- Combing Indicators
- Chaikin Oscillator with ROC
- Multiple Timeframes
- ATR
- Risk Management · ATR-Based SL & TP
- Market Breadth Analysis · Need of Market Breadth Analysis
- McClellan Indicator
Application of McClellan Indicator2 clases · 9 min
- Application of McClellan Indicator
- Can McClellan Indicator Predict a Market Crash？
- Calculation of TRIN Indicator · TRIN Indicator
- TRIN Indicator Based Strategy · TRIN Strategy
- Creation of a Screener Using Technical Indicators
- Five Secrets of Successful Traders
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary · Summary of the Course
Módulo 18 · Price Action Trading Strategies Using Python33 clases · 1 h 52 min
Introduction2 clases · 10 min
- Introduction
- Quantra Features and Guidance
- Basics of Price Action Trading · Price Action Trading
- Supply and Demand Analysis
Head and Shoulders Pattern2 clases · 5 min
- Head and Shoulders Pattern
- Trading Head and Shoulders Pattern
FAQs on Head and Shoulders Pattern2 clases · 7 min
- Variations in Shoulders
- Commonly Asked Questions
- Detecting Head and Shoulders Pattern · How to Use Jupyter Notebook？
- Transaction Costs and Slippage
- Inverse Head and Shoulders Pattern
- Double Top Pattern
- Continuation Patterns
- Triangle Pattern
- Flag Pattern
- Pennant Pattern
- Support and Resistance
- Strategy Using Support and Resistance · Support and Resistance in Action
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Pivot Points
- Types of Pivot Points
- Woodie's Range Trading · Range Trading using Woodie's Pivots
- Woodie's Trend Trading
- Camarilla Trend Trading · Trend Based Strategy Using Camarilla Pivots
- Fibonacci Ratios
- Fibonacci in Action
Fibonacci Retracement Strategy2 clases · 6 min
- Fibonacci Retracement Strategy
- FAQs on Fibonacci Strategy
- Short-Selling with Fibonacci Retracements · Short Selling with Fibonacci
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 19 · Python For Trading!23 clases · 1 h 20 min
Introduction to Course4 clases · 14 min
- Welcome to the World of Python
- Introduction to the Course
- Certification Process
- Quantra Features and Guidance
Introduction to Python2 clases · 5 min
- Python Basics
- How to Use Jupyter Notebook？
Functions, Variables and Objects3 clases · 16 min
- What Are Objects？
- What Are Containers and Namespaces？
- Introduction of Classes
Data Structures： Lists and Dict3 clases · 10 min
- What Are Lists？
- What Are Dictionaries？
- What Are Tuples and Sets？
- Data Structures： Series and Dataframe · What Are Data Structures in Pandas？
- Financial Market Data · Importing Data
- Dealing With Financial Data · What is Data Processing in Trading？
- Data Visualisation · What are Candlesticks？
- Backtesting · What is Backtesting？
- Performance Metrics · What is Performance Metrics？
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 20 · Quantitative Trading Strategies and Models20 clases · 1 h 28 min
Introduction to Quantitative Trading3 clases · 12 min
- Introduction to Quantitative Trading
- Quantra Features and Guidance
- Definition of Quantitative Trading
Technical Trading Strategies4 clases · 15 min
- Volume Reversals and Fibonacci Retracements
- How to Use Jupyter Notebook？
- Introduction to Trend and Volatility
- Analysing Price Breakouts with Bollinger Band
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Econometric Models4 clases · 23 min
- Introduction to Heteroskedasticity & Autocorr
- Time Series & Autoregressive Model
- Understanding the ARIMA Model
- Predicting volatility using GARCH Model
Quantitative Trading Strategies for Options3 clases · 21 min
- Introduction to Options Greeks
- Building a Delta Neutral portfolio with Gamma
- Using Gamma Scalping to Solve Negative Theta
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary · Course Recap
Módulo 21 · Short Selling in Trading29 clases · 2 h 6 min
Introduction4 clases · 42 min
- About the Author
- About the Course
- Quantra Features and Guidance
- Introduction to Short Selling
Short Selling2 clases · 4 min
- Short Selling
- Long-Short Strategy
Relative Series3 clases · 6 min
- Relative Series
- Calculating Relative Series
- How to Use Jupyter Notebook？
- Regime Definition
Regime Change Detection2 clases · 4 min
- Breakout⧸ Breakdown Model
- Crossover Model
Floor and Ceiling2 clases · 4 min
- Floor and Ceiling
- Swings
- Regime Methods · Compare Regime Methods
- Stock Classification · Classify Stocks to Bulls or Bears
Strategy Creation3 clases · 5 min
- Overview of Strategy Creation
- Strategy
- Strategy Logic
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Stop Loss and Position Sizing3 clases · 10 min
- Performance Metrics
- Optimisation
- Stop Loss and Position Sizing
- Run Codes Locally on Your Machine · Python Installation Overview
Course Summary2 clases · 30 min
- Course Summary
- Short Selling in Current Market
Módulo 22 · Options Trading Strategies In Python： Basic13 clases · 46 min
Know Your Options!6 clases · 18 min
- Introduction
- Quantra Features and Guidance
- Options Terminology
- Put Options
- How to Use Jupyter Notebook？
- Call Options
Options Nomenclature2 clases · 8 min
- Moneyness
- Put-Call Parity
- Types of Volatility · Volatility
Options Trading Strategies2 clases · 10 min
- Delta Trading Strategies
- Hedging With Options
- Run Codes Locally on Your Machine · Python Installation Overview
- Wrapping Up! · Summary
Módulo 23 · Futures Trading： Concepts & Strategies54 clases · 2 h 56 min
Introduction4 clases · 14 min
- Futures Trading Introduction
- Introduction by Andreas Clenow
- Course Structure
- Quantra Features and Guidance
- Futures Contract · What Makes Futures Unique？
Standardisation & Clearing2 clases · 4 min
- Standardisation
- Clearing
Futures Specific Properties2 clases · 5 min
- Futures Specific Properties I
- Futures Specific Properties II
Futures Profit and Loss3 clases · 11 min
- Futures PnL Calculation
- How to Use Jupyter Notebook？
- Futures and Currency Exposure
Futures Market2 clases · 8 min
- Futures Sectors： Overview
- Futures in the Commodity Sector
Futures Dataset3 clases · 10 min
- Futures Data
- The Issue of Limited Life Span
- Price Difference in Futures Contracts
Futures Continuations2 clases · 6 min
- Default Futures Continuations
- Other Methods of Futures Continuation
Analysing Tradable Assets2 clases · 7 min
- Trade What You Analyse
- Futures Trading Concept
Trend Following Introduction2 clases · 7 min
- Trend Following Background
- Principles of Trend Following
- Trend Following Entries
Risk Management3 clases · 8 min
- Financial Risk Primer
- Measuring Financial Risk Using Volatility
- Position Allocation
Trend Following Exits2 clases · 5 min
- Trend Following Exits
- Setting the Stop Distance
Trend Following Analysis on Single Markets2 clases · 5 min
- Trend Following Rules
- Trend Following on Single Markets
- Diversification in Trend Following · The Power of Diversification
Strategy Analysis3 clases · 9 min
- Strategy Analysis
- Trend Following Trades
- Limitations of Trend Following Trades
- Counter Trend Models
- Counter Trend Entries
- Counter Trend Exits
- Counter Trend Strategy Analysis
Term Structure4 clases · 19 min
- Futures Price and Delivery Dates
- Introduction to Term Structure
- Quantifying Term Structure
- Term Structure Concept
Term Structure Trading5 clases · 22 min
- Contract Selection
- Calendar Spread Strategy
- Trading Term Structure
- Term Structure Strategy Analysis
- Term Structure Strategies
- Pushing Diversification Further
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Course Summary · Conclusion
Módulo 24 · Options Trading Strategies In Python： Intermediate30 clases · 1 h 32 min
Options Pricing Models7 clases · 22 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
- Analogy to Pricing a Call Option： Dice Game
- Intuitive Explanation of Bsm Model
- How to Use Jupyter Notebook？
- Recap
- Evolved Options Pricing Model · Derman-Kani Model and Heston Model
Options Greeks： Delta4 clases · 10 min
- Delta
- Delta With Respect to Underlying Price
- Delta With Respect to Time to Expiry
- Delta With Respect to Volatility
Option Greeks： Gamma2 clases · 7 min
- Gamma
- Gamma Sensitivity
Option Greeks： Vega2 clases · 9 min
- Vega
- Vega With Respect to Time to Expiry and Vol
Option Greeks： Theta and Rho2 clases · 6 min
- Theta
- Recap
Options Trading Strategies3 clases · 9 min
- Arbitrage Strategy
- Box Trading
- Recap
- Run Codes Locally on Your Machine · Python Installation Overview
Volatility Trading Strategies2 clases · 8 min
- Forward Volatility
- Volatility Smile
Volatility Skew2 clases · 5 min
- Predicting Market Movement： Volatility Skew
- Recap
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Wrapping Up! · Summary
Módulo 25 · Systematic Options Trading37 clases · 2 h 39 min
Introduction3 clases · 13 min
- Introduction
- Quantra Features and Guidance
- Backtesting and Automation Overview
- Systematic Trading Process
Options Data2 clases · 12 min
- Data Structure
- Data Storage
Data Pre-Processing2 clases · 6 min
- Data Pre-Processing
- How to Use Jupyter Notebook？
- Creation of an Options Screener
Butterfly Strategy for Options Trading2 clases · 10 min
- Strategy Selection
- Butterfly Set-Up
- Butterfly Strategy Payoff · Payoff Calculation
Probability of Profit2 clases · 6 min
- Need of Probability of Profit
- Intuition of Probability of Profit
- Lognormal Distribution · Use of Lognormal Distribution to Calculate Probability
- Probability of Profit Using Lognormal Distribution
- Probability of Profit Using Empirical Distribution
- Expected Profit
- Types of Volatility · Volatility
- Implied Volatility
- Implied Volatility Percentile
- Butterfly Strategy Backtest · Backtesting Short Butterfly
Risk Management2 clases · 8 min
- Risk Management
- Position Sizing
Trade Level Analytics2 clases · 9 min
- Trade Level Analytics I
- Trade Level Analytics II
- Cost of Setting Up Options Strategy · Cost of Setting Up Butterfly Spread
- Strategy Analysis · Sharpe Ratio and Tail Risk
- Iron Condor
- Spread Trading
Do's and Don'ts2 clases · 10 min
- The 4 Do's
- The 4 Don'ts
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary · Course Summary
Módulo 26 · Trading using Options Sentiment Indicators17 clases · 1 h 18 min
Introduction to Sentiment Trading3 clases · 14 min
- What is Fear and Greed in Markets？
- Course Overview
- Quantra Features and Guidance
Breadth Measure3 clases · 19 min
- TRIN： Indicator & Interpretation
- Code the TRIN Trading Strategy： I
- Code the TRIN Trading Strategy： II
Option Trading Measures2 clases · 12 min
- Put Call Ratio： Indicator and Interpretation
- Code the PCR Trading Strategy
Volatility Measures3 clases · 15 min
- What is the Volatility Index (VIX)？
- Interpretation of VIX
- Code the VIX Trading Strategy
- Risks in Trading · What are the risks involved in Trading？
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Conclusion and Downloadable Resources · Course Summary
Módulo 27 · Options Trading Strategies In Python： Advanced21 clases · 1 h 21 min
Mathematical Models for Options Trading3 clases · 15 min
- Introduction
- Quantra Features and Guidance
- Binomial Trees
Dispersion Trading2 clases · 8 min
- Dispersion Trading
- How to Use Jupyter Notebook？
- Machine Learning · Machine Learning： Classification
Exotic Options5 clases · 23 min
- Exotic Options Part A
- Exotic Options Part B
- Compound Options
- VaR and ES
- Recap
Risk Management3 clases · 12 min
- Delta Neutral Portfolio
- Gamma Scalping
- Recap
Scenario Analysis2 clases · 8 min
- Scenario Analysis
- Recap
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Summary · Course Recap
Módulo 28 · Options Volatility Trading： Concepts and Strategies47 clases · 2 h 50 min
Introduction4 clases · 15 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
- Options Trading： Key Takeaways
Edge and Risk3 clases · 11 min
- Making Money： Edge
- Edge and Risk
- Trading Process
- American vs European Options
- Put and Call Parity · Put Call Parity Principle
Pricing Models4 clases · 18 min
- Why Trade Options？
- Options Pricing
- How to Use an Options Pricing Model？
- Black-Scholes-Merton Model
- Options Valuation · BSM for European Options
Greeks： Price & Time4 clases · 15 min
- Keeping Money： Risk Management
- Delta
- Gamma
- Theta
Greeks： Volatility and Interest Rates2 clases · 3 min
- Vega
- Rho
Volatility3 clases · 12 min
- What is Volatility？
- Volatility
- Volatility Characteristics and Considerations
Implied Volatility3 clases · 8 min
- Implied Volatility
- Volatility Skew
- IV Term Structure and Forward Volatility
Close-to-Close Estimator2 clases · 6 min
- Close-to-Close Estimator
- Limitation of Close-to-Close Estimator
- Parkinson Estimator
- Garman-Klass Estimator
- Volatility Estimators · Volatility Estimators： Comparison
Volatility Forecasting3 clases · 10 min
- Searching for Edge
- Introduction to Volatility Prediction
- GARCH Model for Volatility Prediction
How to Trade Variance Premium2 clases · 4 min
- Variance Premium
- Reason for Existence of Variance Premium
P⧸L Distribution of Options Strategies2 clases · 8 min
- Need To Study The P⧸L Distribution Of Options Strategies
- Section Overview： P⧸L Distribution of Options Strategies
Monte Carlo Simulation2 clases · 5 min
- Need for Monte Carlo Simulations
- Monte Carlo Simulation in Trading
- Practical Hedging · Practicalities of Hedging
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Run Codes Locally on Your Machine · Python Installation Overview
Summary2 clases · 20 min
- Conclusion and Q⧸A
- Course Summary
Módulo 29 · Introduction to Machine Learning for Trading19 clases · 48 min
Introduction4 clases · 10 min
- Welcome to Machine Learning!
- Course Structure
- Course Learning Outcomes
- Quantra Features and Guidance
- Machine Learning · Terminologies of Machine Learning
Types of Machine Learning2 clases · 4 min
- Types of Machine Learning - Part 1
- Types of Machine Learning - Part 2
- Supervised Learning · How to Use Jupyter Notebook？
Reinforcement Learning2 clases · 5 min
- Reinforcement Learning Example- Part 1
- Reinforcement Learning Example- Part 2
Predict Trend Using Classification2 clases · 5 min
- Stock Market Prediction
- Classification Algorithm
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Data & Feature Engineering
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary
Módulo 30 · Trading with Machine Learning： Regression29 clases · 1 h 22 min
Problem Statement2 clases · 6 min
- Getting Started
- Quantra Features and Guidance
Introduction to Data Generation3 clases · 5 min
- Importing Data
- Input Parameters
- Recap
Data Preprocessing5 clases · 18 min
- Creating X and Y Datasets
- Hyperparameters
- Cross Validation, Test and Train
- Grid Search and Randomized Search
- Recap of Data Pre-Processing
Regression5 clases · 22 min
- Introduction to Linear Regression
- Errors and Residuals
- Cost Function and Gradient Descent
- Multivariate Linear Regression
- Recap of Regression
Bias and Variance4 clases · 10 min
- Bias and Variance
- Overfitting and Underfitting
- Concept of Regularization
- Recap Video
Applying the Prediction2 clases · 2 min
- Prediction and Model Assessment
- Recap
Creating the Algorithm3 clases · 6 min
- Trading Strategy
- How to Use Jupyter Notebook？
- Recap
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 31 · Python for Machine Learning in Finance22 clases · 1 h 6 min
Introduction2 clases · 6 min
- Course Introduction
- Quantra Features and Guidance
Machine Learning Overview2 clases · 6 min
- What is Machine Learning？
- Application of Machine Learning in Finance
Introduction to Python3 clases · 8 min
- Need for Python
- How to Use Jupyter Notebook？
- Pandas Dataframe
- Financial Market Data and Visualisation · Importing Data
- Machine Learning Tasks
Target Variable and Features2 clases · 6 min
- Target Variable
- Features
Metrics to Evaluate Classifier2 clases · 8 min
- Evaluating Classifier Model Effectiveness
- Beyond Accuracy
Introduction to Backtesting2 clases · 5 min
- What is Backtesting？
- How to do Backtesting？
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Metrics to Evaluate a Regressor · Goodness of Fit
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 32 · Data & Feature Engineering for Trading33 clases · 1 h 25 min
Introduction to the Course3 clases · 12 min
- Introduction by Dr. Ernest Chan
- Course Overview
- Quantra Features and Guidance
- Challenges in Financial Data Engineering
Exploratory Data Analysis in Finance3 clases · 7 min
- Closer Look At the Data
- How to Use Jupyter Notebook？
- Irregularities
- Survivorship Bias for Stock Data · Survivorship Bias
- Redundant Stocks Data · Dealing With Redundant Stocks
- Multiple Stock Classes： One or All？ · Dealing With Multiple Stock Classes
- Outliers： How to Identify and Deal With Them？ · Dealing With Outliers
News Data： Numerical Features3 clases · 6 min
- Overview of the News Data
- Numerical Features
- Combine Numerical Features
News Data： Categorical Features3 clases · 6 min
- Categorical Features
- Aggregating Categorical Attributes
- Recap
- Structural Breaks in Financial Data · Structural Breaks
Fundamental Data： Merge Them Correctly4 clases · 8 min
- Precap of Fundamental Data
- Sources of Fundamental Data
- Examining the Data
- Challenges in Merging Dataset
Look-ahead Bias： Deceptive Returns2 clases · 6 min
- Look-ahead Bias in Futures
- Look-ahead Bias in CS Strategy
Types of Bars： Features Extraction3 clases · 7 min
- Tick and Time Bars
- Volume Bars
- Dollar Bars
- Information Bars： Market Order Imbalances · Information Bars
Data Labelling for Better Outcomes2 clases · 6 min
- Fixed-Time Horizon
- Triple Barrier Method
- Why Stationary Features？ · Dealing With Features Selection
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary
Módulo 33 · Decision Trees in Trading27 clases · 1 h 27 min
Introduction To Decision Trees4 clases · 14 min
- Introduction
- Quantra Features and Guidance
- Introduction To Decision Trees
- Decision Tree Inducers
Splitting, Stopping and Pruning Methods2 clases · 8 min
- Splitting Measures
- Stopping Criteria And Pruning
Classification Model4 clases · 10 min
- Classification Decision Tree Model - Part 1
- Classification Decision Tree Model - Part 2
- How to Use Jupyter Notebook？
- Recap
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Regression Trees2 clases · 6 min
- A Trading Model Using： Regression Trees
- Precap To Next Section
Parallel Ensemble Methods2 clases · 7 min
- Bagging
- Random Subspace And Random Forest
- Sequential Ensemble Methods · Boosting
Cross Validation and Hyperparameter Tuning3 clases · 10 min
- Cross Validation
- Hyperparameters
- Hyperparameters Tuning
Challenges in Live Trading4 clases · 15 min
- Challenges in Saving Model And Data
- Challenges In Retraining The Model
- How To Perform Simulation
- Course Summary
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 34 · Trading with Machine Learning： Classification and SVM27 clases · 1 h 25 min
Introduction6 clases · 22 min
- Getting Started
- Quantra Features and Guidance
- What is Classification？
- Technical Indicators - Part A
- Technical Indicators - Part B
- Recap
Binary Classification4 clases · 13 min
- What is Binary Classification？
- The Math in Classification
- Applying Classification
- Recap
Multiclass Classification3 clases · 11 min
- What is Multiclass Classification？
- What is the One Vs All Algorithm？
- Recap
Support Vector Machine3 clases · 9 min
- What is Support Vector Machine？
- The Parameters in SVM
- Recap
Prediction and Strategy3 clases · 10 min
- How to Use Jupyter Notebook？
- How to Prepare the Data？
- Recap
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 35 · Natural Language Processing in Trading20 clases · 45 min
Introduction to the Course4 clases · 11 min
- Introduction by Dr. Terry Benzschawel
- Course Introduction
- Course Structure
- Quantra Features and Guidance
- Applications of Natural Language Processing · Applications of NLP
Sources of News Headline Data2 clases · 5 min
- News Headline Data
- How to Use Jupyter Notebook？
- Sentiment Score and Strategy Logic · Calculate Daily Sentiment Score
- Sentiment Strategy on Bonds · Predict Bond Returns
- Introduction to Word Embeddings · Word Embedding Approaches
- Bag of Words
- Predicting Sentiment Score Using XGBoost · Predict Sentiment Score Using XGBoost Model
- TF-IDF
WordVec2 clases · 4 min
- Word2Vec
- Limitations of Word2Vec Method
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Course Summary · Summary
Módulo 36 · Unsupervised Learning in Trading29 clases · 1 h 35 min
Introduction to the Course3 clases · 12 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
Introduction to Unsupervised Learning2 clases · 6 min
- Introduction to Unsupervised Learning
- An Application of Unsupervised Learning
Clustering3 clases · 8 min
- Clustering
- Properties of a Cluster
- Classification Vs Clustering
K-Means Clustering2 clases · 9 min
- What is K-Means Clustering？
- Mathematics behind K-Means Clustering
K-Means for Financial Data2 clases · 4 min
- K-Means on Financial Data
- Using Jupyter Notebook
- Scaling the Data
- Feature Selection
- Selecting Clusters for K-Means · Choosing the Number of Clusters
- Analysing Clusters： Hit Ratio · Cluster Analysis with Hit Ratio
- Analysing Clusters： Skewness · Cluster Analysis with Skewness
- Putting It All Together · Strategising with K-Means
Curse of Dimensionality2 clases · 5 min
- Impact of Adding Features to Clustering
- Overcoming Curse of Dimensionality
Introduction to Principal Component Analysis2 clases · 5 min
- Principal Component Analysis
- Mathematical Explanation of PCA
Maths Behind Principal Component Analysis2 clases · 6 min
- Basics of Matrices and Eigenvalues
- Eigenvectors
- Principal Component Analysis · Choosing Number of Principal Components
- Application of Unsupervised Learning for Pairs Trading · Creating Clusters
- DBSCAN · Intuition of Density-Based Clustering
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 37 · Neural Networks in Trading24 clases · 1 h 21 min
Neural Networks6 clases · 17 min
- Introduction
- Quantra Features and Guidance
- Neural Networks Intuition
- Backpropagation
- Implement a MLPClassifier
- How to Use Jupyter Notebook？
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Deep Learning in Trading3 clases · 10 min
- Introduction to Deep Learning
- DNN Model Training
- DNN Trading Strategy Birdeye
- Recurrent Neural Networks · RNNs in Time Series Analysis
Long Short Term Memory Unit (LSTMs)3 clases · 12 min
- Vanishing and Exploding Gradients
- Long Short Term Memory Unit
- LSTM based trading strategy
Cross Validation in Keras2 clases · 7 min
- Hyper Parameter Tuning Using Cross Validation
- Hyperparameters in a DNN model
Challenges in Live Trading4 clases · 16 min
- Challenges in Saving Model and Data
- Challenges in Retraining the Model
- How to perform Simulation
- Course Summary
- Run Codes Locally on Your Machine · Python Installation Overview
Módulo 38 · Deep Reinforcement Learning in Trading41 clases · 2 h 46 min
Introduction5 clases · 16 min
- Course Introduction
- Application of RL in Trading
- Live Trading Overview
- Course Structure
- Quantra Features and Guidance
Need for Reinforcement Learning2 clases · 5 min
- Introduction to Reinforcement Learning
- Delayed Gratification
State, Actions and Rewards2 clases · 4 min
- States, Actions and Rewards
- Reward Function Design
Q Learning2 clases · 5 min
- Creating the Q Table
- DQN and Experience Replay
State Construction2 clases · 5 min
- State Construction
- Input Features
- Policies in Reinforcement Learning
Challenges in Reinforcement Learning2 clases · 29 min
- Difficulties in RL
- Reinforcement Learning Concept
Initialise Game Class2 clases · 4 min
- Introduction to Part II
- How to Use Jupyter Notebook？
- Positions and Rewards
Input Features2 clases · 5 min
- Input Features
- Candlestick Input Features
- Construct and Assemble State
Experience Replay2 clases · 7 min
- Memory and Saving
- Q Value Update
Artificial Neural Network Concepts3 clases · 8 min
- Artificial Neural Network
- Gradient Descent and Loss Function
- Overfitting
- Artificial Neural Network Implementation · Agent Implementation
Backtesting Logic2 clases · 6 min
- Combining Elements of RL Model
- Process of Backtesting
Performance Analysis： Synthetic Data3 clases · 7 min
- Generating Patterns for RL Model
- Performance on Synthetic Data
- Configuration Parameters
Performance Analysis： Real World Price Data2 clases · 34 min
- RL Model on Real World Price Data
- Reinforcement Learning Implementation
Automated Trading Strategy2 clases · 5 min
- Automated Trading Overview
- Steps in Live Trading
- Paper and Live Trading · Live Trading FAQs
- Future Enhancements · Future Enhancement
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 39 · Machine Learning for Options Trading38 clases · 2 h 13 min
Introduction3 clases · 12 min
- Introduction
- Course Structure
- Quantra Features and Guidance
- FAQs and Overview · Part 1： Overview
Features to Predict the Underlying2 clases · 6 min
- Features to Predict the Underlying
- How to Use Jupyter Notebook？
- Forecast Direction of Underlying with Decision Tree Classifier · Forecasting Direction of the Underlying with ML
Metrics to Evaluate a Classifier2 clases · 8 min
- Evaluating Classifier Model Effectiveness
- Beyond Accuracy
- Options Data： Sourcing and Storing · Options Data
Trade Level Analytics2 clases · 9 min
- Trade Level Analytics I
- Trade Level Analytics II
- Improving the ML Model · Improving Your Decision Tree Strategy
Hyperparameter Tuning and Cross-Validation Methods2 clases · 8 min
- Hyperparameter Tuning
- Cross Validation
- Probability Levels For Improving ML Model · Using Probability Levels For Improving Model
Ensemble Classifiers2 clases · 7 min
- Random Forest Classifier Model
- Voting Classifier Model
- Blending Models · Blending Machine Learning Models
- Parametric Vs Nonparametric Models · Parametric and Nonparametric Models
- Options Pricing： Feature Engineering · Features for Options Pricing
- ML for Options Pricing · Predicting Options Prices
- Implied Volatility Concepts · Implied Volatility
- Forecasting Implied Volatility
- Trading Options Using Forecasted IV Values · Backtesting Short Straddle
- Need for ML to Predict Option Strategy to Trade · Need of ML for Strategy Prediction
- Defining the Best Option Strategy to Trade · Creating the Target Variable
- Input Features for Predicting the Best Options Strategy · Selecting The Input Features
- Model Design and Backtesting the Performance · Selecting the ML Model to Deploy
Challenges in Live Trading3 clases · 13 min
- Live Trading Challenges
- Challenges In Retraining The Model
- How To Perform Simulation
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Additional Applications of ML for Options Trading · Further Applications of ML for Options Trading
- Summary · Course Summary
Módulo 40 · Forex Trading using Python： Basics11 clases · 36 min
Introduction to Forex Trading3 clases · 13 min
- Quantra Features and Guidance
- Introduction to Forex Trading
- Factors Affecting Forex Trading
Momentum Trading Strategy2 clases · 6 min
- Momentum Trading Strategy Overview
- Code the Momentum Trading Strategy
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Risk Management2 clases · 5 min
- Risk Management in Forex
- Course Summary
Módulo 41 · Value Strategy in Forex13 clases · 35 min
Introduction to the Course3 clases · 11 min
- Introduction to the Course
- Quantra Features and Guidance
- Macroeconomic Factors Affecting Forex Market
Valuation of Forex2 clases · 7 min
- Purchasing Power Parity (PPP)
- Real Effective Exchange Rate (REER)
- Forex Value Strategy： Logic · Forex Value Strategy
Forex Value Strategy： Implementation3 clases · 5 min
- Code the Forex Value Strategy
- How to Use Jupyter Notebook？
- Course Summary
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
Módulo 42 · Crypto Trading Strategies： Intermediate15 clases · 38 min
Introduction to Cryptocurrencies5 clases · 17 min
- Prologue
- Quantra Features and Guidance
- What Are Cryptocurrencies？
- Crypto Wallets
- What Are Trading Bots？
Trading Using Calendar Anomalies3 clases · 5 min
- Calendar Anomalies Strategy Overview
- Strategy Code Overview
- How to Use Jupyter Notebook？
- Ichimoku Cloud
- Divergence Strategy
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Downloadable Resources · Summary
Módulo 43 · Crypto Trading Strategies： Advanced15 clases · 38 min
Machine Learning in Cryptocurrency Trading5 clases · 15 min
- Introduction to the Course
- Quantra Features and Guidance
- Understanding K-Means Algorithm
- Applying K-Means in Python
- How to Use Jupyter Notebook？
- Pairs Trading Strategy · Pairs Trading
- Code the Pairs Trading Strategy · Strategy
Hurst Exponent2 clases · 5 min
- Hurst Exponent
- Strategy Using Hurst Exponent
- Quant Strategy Framework · Framework Overview
- Code the Long-Only Momentum Strategy · Summary
- Run Codes Locally on Your Machine · Python Installation Overview
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
Módulo 44 · Quantitative Portfolio Management24 clases · 1 h 5 min
Introduction3 clases · 9 min
- Introduction to the Course
- Course Structure
- Quantra Features and Guidance
Basics of Portfolio Construction2 clases · 5 min
- Mathematical Terms for Portfolio Construction
- How to Use Jupyter Notebook？
- Modern Portfolio Theory · Construct Two-Stock Portfolio using MPT
Kelly Criterion2 clases · 4 min
- What is Utility？
- The Kelly Criterion
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Risk Parity2 clases · 5 min
- Construct Two-Stock Portfolio using Risk Parity
- Risk Parity vs Traditional Portfolio
- Beta · What is Beta？
Capital Asset Pricing Model (CAPM)2 clases · 5 min
- Introduction to CAPM
- What is Security Market Line？
- Fama-French Three- Factor Model · Fama-French Three-Factor Model
Factor Investing2 clases · 6 min
- Factor Investing
- Applications of Factor Investing
Multi Factor Model2 clases · 5 min
- Multi-Factor Model： Momentum Factor
- Multi-Factor Model： Reversal Factor
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary
Módulo 45 · Position Sizing in Trading40 clases · 1 h 59 min
Introduction3 clases · 13 min
- Course Introduction
- Course Structure
- Getting Started With Quantra
What is Position Sizing and Money Management？2 clases · 5 min
- Importance of Position Sizing and Money Management
- Use of Money Management
Position Sizing Terms3 clases · 7 min
- Performance Measure Terms
- Risk Management Terms
- Using Jupyter Notebook
Trading Strategy2 clases · 8 min
- Index Reversal Strategy
- Strategy Implementation
Basic Position Sizing： Fixed Units and Fixed Sum3 clases · 8 min
- Fixed Units and Fixed Sum
- Implementation： Fixed Units
- Implementation： Fixed Sum
Basic Position Sizing： Fixed Percentage and Fixed Fraction2 clases · 3 min
- Fixed Percentage and Fixed Fraction
- Implementation： Fixed Percentage
Volatility Targeting2 clases · 7 min
- Introduction to Volatility Targeting
- Different Volatility Models
- Application of Volatility Targeting
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Constant Proportion Portfolio Insurance3 clases · 10 min
- Introduction to Constant Proportion Portfolio Insurance
- Advantages and Disadvantages of CPPI
- Application of CPPI
Kelly Formula2 clases · 6 min
- Kelly Formula
- Limitations of Kelly Formula
- Optimal F
Theory Is Grey, but Life Is Green4 clases · 14 min
- Inherent Risk in Kelly Criterion and Optimal F
- Hidden Risks in Backtesting and Financial Markets
- Dealing with Unprofitable Trading Strategy
- Martingale Trading Strategy
Numerical Methods3 clases · 7 min
- Bootstrapping
- Bootstrapping Results
- Monte Carlo
Conservative Framework for Position Sizing3 clases · 8 min
- Testing the Trading Strategy
- Revisiting CPPI and Volatility Targeting
- Result of CPPI and Volatility Targeting
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary
Módulo 46 · Factor Investing： Concepts and Strategies45 clases · 2 h 28 min
Introduction3 clases · 12 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
Understanding Smart Beta2 clases · 8 min
- Understanding Alpha and Beta
- Smart Beta
All About Factors2 clases · 8 min
- Factor Premiums
- Factor Based Advantages
Factor Approach2 clases · 3 min
- Brief History of Factors
- Types of Factors
- What is Value？
- Quantifying Value
- Identification of Undervalued Stocks · Creation of Value Strategy
Introduction to Absolute Valuation Method2 clases · 5 min
- What is Absolute Valuation
- How Does Absolute Valuation Work
Different Approach to Value2 clases · 7 min
- Intuition of DCF Valuation Method
- Six Common Myths Of Value Investing
Momentum Factor2 clases · 10 min
- Why Momentum Exists
- Characteristics of Momentum
Time Series Momentum2 clases · 4 min
- Types of Momentum
- Time Series Momentum
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Cross Sectional Momentum
- Value and Momentum · Combining Value and Momentum
- Size Factor · Size Factor： Definition and Intuition
Introduction to Quality Factor2 clases · 4 min
- Prerequisite for Quality Factor
- Corporate Governance Checks
- Creation of Quality Strategy · How to Identify Quality Stocks
Factor Timing2 clases · 7 min
- Factor Timing
- Drawbacks of Factor Timing
Identifying Relevant Factors2 clases · 12 min
- Need to Identify Relevant Factors
- Factor Screening Methods
- Capital Allocation To Factors · How to Allocate Capital to Different Factors？
Ranking Method With Multiple Metrics2 clases · 5 min
- Apply Ranking Method With Multiple Metrics
- Drawback of Ranking Method
- Scoring Method for Capital Allocation
- Compare the Capital Allocation Methods · Compare The Ranking and Scoring Methods
- Exploring Unknown Factors
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary · Course Summary
Módulo 47 · Portfolio Management using Machine Learning： Hierarchical Risk Parity25 clases · 1 h 23 min
Introduction2 clases · 9 min
- Course Introduction
- Quantra Features and Guidance
- Portfolio Basics and Stock Screening · Portfolio Diversification
Inverse Volatility Portfolios2 clases · 4 min
- Role of Volatility in Measuring Risk
- Allocating Weights Using Volatility
- Implementing Inverse Volatility Portfolios · Inverse Volatility on Three Stocks
- Correlation · Impact of Correlated Stocks on Portfolio’s Performance
Markowitz Critical Line Algorithm2 clases · 7 min
- Intuition of Critical Line Algorithm
- Selecting the Most Optimal Weights
- Implementing CLA · Limitations of Critical Line Algorithm
Hierarchical Clustering2 clases · 6 min
- What is Hierarchical Clustering？
- Hierarchical Clustering On Stocks
Mathematics Behind Hierarchical Clustering2 clases · 7 min
- Euclidean Distance Between Points
- Implementing Hierarchical Clustering
- Clustering with Dendrograms · Dendrograms
Scaling Your Data2 clases · 6 min
- Importance of Scaling
- Scaling Your Data
- Hierarchical Risk Parity · Weight Allocation
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Run Codes Locally on Your Machine · Python Installation Overview
Course Summary2 clases · 12 min
- Course Summary-I
- Course Summary-II
Módulo 48 · AI for Portfolio Management： LSTM Networks25 clases · 1 h 2 min
Introduction2 clases · 8 min
- Introduction to the Course
- Quantra Features and Guidance
Aim of Portfolio Management2 clases · 4 min
- Aim of Portfolio Management
- Optimisation of a Portfolio
- Building a Portfolio · Optimisation of Portfolio Using Mean-Variance
Walk Forward Optimisation2 clases · 5 min
- Walk Forward Optimisation
- Walk Forward Optimisation with Fixed Window
- Application of Mean-Variance in Portfolio · How to Use Jupyter Notebook？
Different Types of Portfolio2 clases · 2 min
- Different Types of Portfolio
- Summary of Mean-Variance Optimised Portfolio
AI for Portfolio Optimisation2 clases · 5 min
- AI for Portfolio Optimisation
- Artificial Intelligence
Artificial Neural Networks2 clases · 6 min
- ANN Architecture
- Drawback of ANN
- Long Short-Term Memory For Portfolio Optimisation · Differences Between ANN and LSTM
- Set Up LSTM Network for Portfolio Optimisation · How to Set Up the LSTM Network？
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Hyperparameter Sweep
Building Long-Short LSTM3 clases · 8 min
- LSTM for Long-Short Portfolio： An Overview
- Getting Weights for Long-Short Portfolio
- Modifications to LSTM
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary and Next Steps
Módulo 49 · News Sentiment Trading Strategies25 clases · 1 h 18 min
Introduction2 clases · 8 min
- Introduction to the Course
- Quantra Features and Guidance
About News-Based Trading2 clases · 9 min
- Why Trade the News？
- Sources of News
Types of News Releases2 clases · 7 min
- Planned News
- Unexpected News
- Buy the Rumour
- Sell at the Event
- Limitations of Buy the Rumour Sell the Event · Limitations of Buy the Rumour and Sell at the Event
- Retrieving and Storing Textual Data
- Qualitative Analysis
- Using News to Your Advantage · How to Use News to Your Advantage？
Sentiment Score Using VADER2 clases · 9 min
- How Vader Calculates the Sentiment Score
- How VADER Accounts for Sentiment Intensity
- Limitations of VADER · Limitations of VADER for Sentiment Analysis
- Challenges in Calculating Sentiment of News · Challenges in Calculating Sentiments of News
- Sentiment Analysis Using LLMs
- Buy the Rumour Sell the Event With Sentiment Analysis · Buy the Rumour Sell the Event Using Sentiment Scores
- Analysis of Buy Rumour Sell Event Using Sentiment Scores Strategy · Analysis of the Buy the Rumour Sell at the Event Using Sentiment Scores Strategy
- Improving the Sentiment Analysis Strategy · Analysing Sentiment Analysis Strategy Performance
- Pitfalls of Trading the News · Common Pitfalls of News Based Trading
Live Trading on IBridgePy3 clases · 7 min
- Section Overview
- Live Trading Overview
- Code Structure
- Summary · Course Summary
Módulo 50 · Mean Reversion Strategies In Python31 clases · 1 h 58 min
Introduction to the Course4 clases · 16 min
- Introduction by Dr. Ernest Chan
- Introduction to Mean Reversion Strategy
- Quantra Features and Guidance
- Types of Statistical Arbitrage Strategies
- Stationarity of Time Series · What is Stationarity？
Augmented Dickey-Fuller Test2 clases · 4 min
- What is ADF Test？
- How to Use Jupyter Notebook？
Mean Reversion Strategy2 clases · 4 min
- Mean Reversion Strategy
- Recap
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
Cointegration4 clases · 16 min
- What is Cointegration？
- What is Hedge Ratio？
- Hedge Ratio Code
- What is CADF Test？
Pairs Trading3 clases · 21 min
- Mean Reversion Strategy on Pairs
- Recap
- Mean Reversion Strategy
Triplets5 clases · 22 min
- Cointegration Breakdown in the GLD-GDX Pair
- Surviving Breakdown of Cointegration
- What is Johansen Test？
- Mean Reversion on Triplets
- Recap
- Half Life · Half Life of Mean Reverting Time Series
- Best Markets To Pair Trade
- Index Arbitrage · Index Arbitrage Strategy
- Long Short Portfolio · Long-Short portfolio Strategy
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary · Course Summary
Módulo 51 · Momentum Trading Strategies41 clases · 2 h 2 min
Introduction to the Course3 clases · 11 min
- Introduction to Momentum Trading
- Course Structure
- Quantra Features and Guidance
What is Momentum？2 clases · 6 min
- Introduction to Momentum
- Myths of Momentum
Why Does Momentum Exist？3 clases · 7 min
- Why Momentum Exists - I
- Why Momentum Exists - II
- Why Momentum Exists - III
Introduction to Python3 clases · 8 min
- Need for Python
- How to Use Jupyter Notebook？
- Pandas Dataframe
- Financial Market Data and Visualisation · Importing Data
- Technical Indicators · Role of Technical Indicators
- Technical Indicator Strategy
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Types of Momentum
Time Series Momentum2 clases · 5 min
- Time Series Momentum
- Time Series Momentum on Multiple Asset
- Hurst Exponent
Correlation Analysis2 clases · 7 min
- Correlation Analysis
- Course Summary - I
Cross Sectional Momentum2 clases · 7 min
- Introduction to Cross Sectional Momentum
- Cross Sectional Momentum Strategy
- Fundamental Momentum
Event Driven Strategy2 clases · 7 min
- Momentum Due to Unscheduled Events
- Momentum Due to Scheduled Events
- Treasury Markets · Event Driven Strategy in Treasuries
Momentum in Futures3 clases · 7 min
- Term Structure
- Roll Returns
- Lookahead Bias
Cross Sectional Momentum Strategy in Futures3 clases · 11 min
- Issues With Future Spot Arbitrage
- Cross Sectional Momentum in Commodities
- P&L Calculation in Continuous Futures
Momentum Crashes2 clases · 5 min
- Momentum Crashes
- Avoiding Momentum Crashes
- Risk Management
- Run Codes Locally on Your Machine · Python Installation Overview
- Course Summary · Course Summary - II
Módulo 52 · Trading Alphas： Mining, Optimisation, and System Design54 clases · 3 h 8 min
Introduction2 clases · 8 min
- Introduction
- Quantra Features and Guidance
Micro Alphas2 clases · 5 min
- Micro Alphas
- How to Use Jupyter Notebook？
Market Inefficiencies： Trend2 clases · 11 min
- Market Inefficiencies
- Trends
- Market Inefficiencies： Mean Reversion · Mean Reversion
- Market Inefficiencies： Chart Patterns · Chart Patterns
- Market Inefficiencies： Correlation, Fundamental and Alternative · Correlation, Fundamental and Alternative
Market Inefficiencies： Cointegration2 clases · 16 min
- Cointegration
- Types of Market Inefficiencies
- Time Series Alphas
Live Trading on Blueshift4 clases · 12 min
- Section Overview
- Live Trading Overview
- Blueshift Code Structure
- Backtest and Live Trade on Blueshift
- Cross-Sectional Alphas · Cross-Sectional Alpha
Timing Alphas2 clases · 6 min
- Timing Alpha
- Most Suitable Alpha
Combinations of Alpha2 clases · 6 min
- Combinations of Alpha
- Things to Keep In Mind While Combining Strategies
- Finding Micro-Alphas
Assessing Results2 clases · 8 min
- Assessing Results
- Most Ideal Performance Metric
- Total Profit
- Sharpe and Sortino Ratios
- Profit Factor and Drawdown
- Profit Per Trade
- CAGR, Alpha, and Beta · CAGR, Alpha and Beta
Strategy Execution2 clases · 8 min
- Strategy Execution
- Arrival Price Algorithm
Micro-Alpha Portfolio2 clases · 4 min
- Combining Alphas
- Generating Signals
- Portfolio Optimisation
Advanced Alpha Mining2 clases · 7 min
- Testing Robustness Across Parameter Space
- Selecting Best Parameter Sets
- Machine Learning Alphas
- Basics of Vectorized Backtest · Creating a Basic Backtest
- Adding Vectorized Stop-loss and Profit-takes · Application Of Profit-Take And Stop-Loss Filters
- Impact of Profit Take and Stop Loss on Strategy · Strategy Analysis After Application of Profit Take and Stop Loss
Designing a Trading System2 clases · 4 min
- Software Architecture in Trading Systems
- Parallel Computing
- Asynchronous Computing
- Distributed Computing
- Importance of Logging and Storage · Logging And Storage
- Hardware Elements of a Trading System · Hardware of a Trading System
- Software Elements of a Trading System · Micro-Services and Operating System
- Testing and Version Control
Implementation of a Trading System2 clases · 6 min
- Prerequisites for Implementing a Trading System
- Architecture and Start-Up
Types of Servers2 clases · 5 min
- Data Server and Execution Server
- Trading Server
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary
Módulo 53 · Trading in Milliseconds： MFT Strategies & Setup43 clases · 2 h 34 min
Introduction3 clases · 11 min
- Course Introduction
- Course Structure
- Quantra Features and Guidance
- An Introduction to Market Microstructure · Market Microstructure
Need and Challenges of MFT2 clases · 4 min
- Definition of MFT
- Why Should You Focus on MFT and its Challenges
- HFT Gaming · Front-Running
Ticking Strategy2 clases · 8 min
- Ticking Strategy
- Impact of Volatility on Ticking Strategy
Impact of Ticking Strategy2 clases · 3 min
- Impact of Ticking Strategy on MFT
- Use of Dark Pool Against MFT Traders
- Ratio Trade
Spoofing2 clases · 6 min
- Spoofing
- Countering the Spoofing Strategy
Other Ways HFT Wins3 clases · 10 min
- Stop-Hunting
- Hide and Light Orders
- Risk of Hide and Light Orders
- Thin NBBO Liquidity
- An Overview of Types of Orders · Types of Orders
Immediate or Cancel Order2 clases · 8 min
- Immediate or Cancel Orders
- Toxic Order Flows and Prevention of Adverse Selection
Intermarket Sweep Order2 clases · 8 min
- ISO and Regulation NMS
- Understanding ISO with an Example
- ISO and Flash Crashes
- Day ISO · Day ISO and Hide and Light Orders
Dark Pools3 clases · 9 min
- Use of Dark Pools
- Abuse of Dark Pools
- Avoiding Toxic Dark Pool
- Physics of MFT
Backtesting an MFT Strategy2 clases · 7 min
- Backtesting an MFT Strategy
- Choosing a Backtesting Platform
- Historical Tick Data
Order Flow Basics2 clases · 7 min
- Basics of Order Flow
- Order Flow as an Indicator
Calculate the Order Flow2 clases · 10 min
- The Challenge of Accurate Order Flow Calculation
- Computing the Order Flow： Tick Rule
- Quote Rule and Lee-Ready Algorithm for Order Flow · Quote Rule and Lee-Ready Algorithm
Bulk Volume Classification3 clases · 10 min
- Bulk Volume Classification
- Bulk Volume Classification with Time Bars
- Bulk Volume Classification with Volume Bars
- Trade the Order Flow · Trading the Order Flow
- Run Codes Locally on Your Machine · Python Installation Overview
- Summary · Course Summary
Garantía y seguridad7 días de garantía si el curso falla o no es lo anunciado. Condiciones
Soporte 24/7Resolvemos tus dudas cuando lo necesites
Acceso inmediatoEmpieza la formación al instante después de tu compra
Comunidad exclusivaÚnete a nuestra comunidad privada de estudiantes
Lo que aprenderás
- Darás tus primeros pasos en el trading algorítmico
- Programarás en Python para trading con Jupyter Notebook
- Harás backtesting de tus estrategias de trading
- Analizarás series temporales financieras
- Aplicarás estrategias de volatilidad, eventos y arbitraje estadístico
- Automatizarás operaciones con IBridgePy e Interactive Brokers
Contenido incluido
- Fundamentos de bolsa y trading algorítmico
- Python para trading y datos de mercado
- Backtesting y análisis de series temporales
- Estrategias de day trading, volatilidad y eventos
- Preparación de entrevistas quant
- Guías en PDF de instalación y trading en vivo
Preguntas frecuentes
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