Trade Like A Quant Bootcamp with Robot Wealth

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In the dynamic world of financial markets, quantitative trading has emerged as a powerful strategy that leverages mathematical models and automated algorithms to execute trades. Robot Wealth’s Trade Like A Quant Bootcamp is designed to unlock the secrets of quantitative trading for both seasoned traders and novices alike. This transformative program promises to equip participants with the skills, tools, and mindset needed to navigate the complexities of the market like a seasoned quant.

Introduction to Quantitative Trading

Quantitative trading merges the computational power of computers with sophisticated mathematical models to identify trading opportunities. This section explores the essence of quantitative trading and its significance in today’s market landscape.

Why Quantitative Trading?

The Edge Over Traditional Trading

Discover how quantitative trading offers a competitive edge by minimizing emotional decision-making and leveraging high-speed computational analysis.

The Rise of Algorithmic Trading

Understand the growing influence of algorithmic trading in the financial markets and how it shapes the strategies of individual and institutional investors.

Unveiling Robot Wealth’s Trade Like A Quant Bootcamp

Overview of the Bootcamp

A comprehensive introduction to the Trade Like A Quant Bootcamp, outlining its objectives, curriculum, and the unique approach Robot Wealth brings to quantitative trading education.

What Sets It Apart

Explore what makes this bootcamp a standout choice for aspiring quants, from its hands-on learning approach to the expertise of its instructors.

Core Components of the Bootcamp

Understanding Market Data

Learn about the significance of market data in quantitative trading and how the bootcamp teaches participants to analyze and interpret this data effectively.

Building Trading Models

Dive into the process of building robust trading models, covering everything from hypothesis testing to backtesting strategies.

Risk Management Strategies

An overview of the risk management strategies essential for quantitative trading, ensuring participants know how to protect their capital.

Practical Application and Tools

Real-World Trading Simulations

Discover how the bootcamp incorporates real-world trading simulations to provide hands-on experience with live market conditions.

Leveraging Advanced Tools and Software

An exploration of the advanced tools and software introduced in the bootcamp, including programming languages and platforms like Python and R.

From Theory to Practice: Bootcamp Success Stories

Alumni Achievements

Highlighting success stories from alumni who have successfully transitioned into the world of quantitative trading after completing the bootcamp.

Effective, high-probability quant trading for the independent trader.

0 – Enrolment and Initiation3 Topics

• Lesson Content
  3 Steps
  Welcome to Trade like a Quant
  Logistics – Where Does it All Happen?
  Welcome from James – What Do I want You to Get out of the Course?
• 1 – Seeing the Market for What it Really is
  Lesson Content
  31 Steps
  On Not F**king Spiders
  Is Trading a Game We Can Lose?
  Trading Too Often – Every time you trade you lose money
  Trading Too Often – Exercise
  Trading Too Often – Exercise Solution
  Trading too Big – Don’t get Rekt
  Trading Too Big – Exercise 1
  Trading Too Big – Exercise 1 Solution
  Trading Too Big – Sizing and Volatility Trade-Offs
  Trading Too Big – Exercise 2
  Trading Too Big – Exercise 2 Discussion
  Trying to be a Hero
  Try to Lose at Trading!
  Understanding the Mortal Sins
  Is Trading a Game We Can Win?
  Edge, Expectation and Luck
  Competition
  Price Discovery – The Balancing of Supply and Demand
  Price Discovery Examples
  Price Discovery Examples: The Limit Order Book
  Price Discovery Examples: The Batch Auction
  Price Discovery Examples: Auction Exercise
  Price Discovery Examples: Auction Exercise Discussion
  Price Discovery Examples: The Regular Trading Session
  Price Discovery Examples: The Constant Product Automated Market Maker
  Price Discovery: The Competition for Alpha!
  The Problems of Non-Stationarity and Adverse Selection
  Understanding the Mayhem: Experimenting with Random Data
  A High-Level Business Plan for Your Trading
• 2 – Stonkingly Obvious High-Probability Edges
  Lesson Content
  23 Steps
  Stonkingly Obvious High-Probability Edges
  ETF Arbitrage
  ETF Arbitrage: Exercise
  ETF Arbitrage: Exercise Solution
  Stablecoin Creation / Redemption Arbitrage
  Stablecoin Creation / Redemption Arbitrage: Exercise
  Stablecoin Creation / Redemption Arbitrage: Exercise Solution
  Terra / Luna Arbitrage
  Market Making
  Commodity Carry (in the past)
  Risk Premia Harvesting
  Risk Premia Harvesting: Why are we confident in it?
  Risk Premia Harvesting: Strategy Implementation
  Risk Premia Harvesting: Strategic Sizing
  Risk Premia Harvesting: Rebalancing
  Risk Premia Harvesting Exercise: Design your Strategy
  Risk Premia Harvesting: How you’re gonna screw it up
  Risk Premia Harvesting in 2022: What happened?
  Pairs Trading in Equities
  Crypto Stablecoin Lending, Basis Effects and Other Yield Plays
  Crypto Basis Arbitrage in Perpetual Futures
  Summary: What Do These Approaches Have in Common?
• 3 – Inefficiencies and Where to Find Them
  Lesson Content
  30 Steps
  Inefficiencies and Where to Find Them
  “Win-Win” Games
  “Win-Lose” Games
  Why Are Traders Prepared to Trade at Inopportune Prices?
  The Competitive Market for Dumb Money Alpha
  “Win-Lose” Games You Might Be Able to Compete At
  “Elevator Pitches” for Inefficiencies
  Edges and Strategies
  Edge: Speed Advantage: HFT Latency Arb and AMM Arbitrage
  Edge: Information Advantage: Discretionary Equity Investment
  Edge: Front Runnin’ Flows: The FTX Leveraged Token Rebalance
  Edge: Front Runnin’ Flows: Seasonal Regularities in FX, Stocks and Volatility
  Edge: Dispersin’ Dislocations: Spreading, Curve Trades, Vol Arb, Liquidations
  Edge: Positioning Imbalances: Trading Futures Rolls. Short Squeezes
  Edge: Exploiting Mistakes: Corporate actions, Derivatives Pricing Mistakes
  Edge: Behavioural / Structural Effects: PEAD and Crypto Trend
  Exercise: Specify a Crypto Trend Strategy
  Some Turn-of-the Month Flow Games
  The Rebalancing Game
  The Window Dressing Game
  Looking for Evidence in the Data
  The Window Dressing Game – Data Analysis
  The Window Dressing Game Summary – Strategy Rules
  The Rebalance Game – Elevator Pitch
  The Rebalance Game – Data Analysis
  The Rebalance Game – Strategy Rules
  Explore the Flow Effects App
  Exercise: Define your own strategy rules
• —Consolidation—
  Lesson Content
  2 Steps
  Interlude: Pair Trading and Statistical Arbitrage Lecture
• 4 – Working with Financial Data
  Lesson Content
  12 Steps
  Working with financial data
  What data do you REALLY need?
  Understanding how your data maps to the real world
  Downloading daily price data from yahoo finance
  Using ChatGPT to write code to pull data from free APIs
  Very gentle introduction to running R in google colab
  Validating Price Data
  Dealing with daily log returns
  Looking at seasonality effects over the whole data set
  Looking at date subsets
  Exercise: do we see this same effect for different, similar assets?
  Summary: Working with Financial Data
• 5 – Research Mindset and Data Analysis Techniques
  Lesson Content
  9 Steps
  Data Analysis – Mindset and Techniques
  Real-time research Example: Analysis of Equity VRP
  Simple Analysis Techniques: The assumption of persistence: Lags, Leads, Overlaps and Scatterplots
  Simple Analysis Techniques: Time Series Return Prediction
  Simple Analysis Techniques: Cross-sectional Return Prediction
  Simple Analysis Techniques: Luck and Stability
  Simple Analysis Techniques “What else would explain this?”
  Consolidation – Review of techniques used
• 6 – Simulation, Portfolio Construction and The Fine Art of Sitting on Your Hands
  Lesson Content
  13 Steps
  Simulation
  Simulation Example: RP Harvesting
  Simulation Example: Window Dresssing
  Simulation: Doing Statistics Even When You Suck at Math
  Portfolio Zen
  Get Clear on Your Objectives
  Managing Strategy Volatility Contribution
  The Real World: Constraints
  The Real World: Not All Strategies Are Created Equal
  Simple Portfolio Example
  Relax and Trust The Market Gods
  There Will Always Be More Trades
• Guide to the Bonus Material
  Lesson Content
  1 Steps
  Guide to the Bonus Material
• Bonus Material: Embrace the Mayhem Videos
  Lesson Content
  11 Steps
  Embrace the Mayhem Initiation Intro
  (The Only) Two Ways to Make Money Trading
  Collecting Risk Premia
  Exploiting Market Inefficiencies
  (The Only) Two Ways to Make Money Trading – Summary
  Pick the Easy Games
  The Easy Games – A Taxonomy of Edges and Strategies
  Pick the Easy Games – Summary
  Run it Like a Business
  Run it Like a Business – Summary
  Trade More Sh*t
• Bonus Material: Options, Volatility, Tail Hedging and Navigating Market Chaos
  Lesson Content
  16 Steps
  Introduction
  Volatility Dynamics
  Options and Implied Volatility
  The VIX Index
  VIX Futures
  VIX Basis Dynamics
  A Dynamic Model of the Basis
  A Dynamic VIX Basis Trading Model
  Volatility of Volatility as a Predictor of Volatility Returns
  Putting Strategy Rules Together
  Dashboard and Strategy Simulation
  2022 Review and Alternative Implementations
  Specifying a Time-Varying VRP Harvesting Strategy
  Tail Hedging
  Dealing with Chaos: A Market Crash Survival Kit
• Bonus Material: Trading Strategies Covered in Previous Iterations of the Course
  Lesson Content
  5 Steps
  Crypto Basis Arbitrage: An Introduction to Forward Contracts and Futures
  Crypto Basis Arbitrage: Cryptocurrency futures on FTX
  Crypto Basis Arbitrage: Perpetual Futures on FTX
  Crypto Basis Arbitrage: Perpetual Futures Basis Effects
  Crypto Basis Arbitrage: Homework
• Bonus Material: Exploratory Data Analysis Using Excel
  Lesson Content
  5 Steps
  Data Analysis 1: Get TLT Daily Prices from AlphaVantage API
  Data Analysis 2: Calculate Day of the Month and Daily Log Returns in Excel
  Data Analysis 3: Group by Day of the Month and Plot Mean Returns for Each Day
  Data Analysis 4: Explore Date Subsets and Look for Consistency of the Effect
  Data Analysis 5: Time Series Plots
• Bonus Material: Market Basics
  Lesson Content
  12 Steps
  Two Fundamental Concepts
  The Stuff We Can Trade
  Embracing the Mayhem
  You’ll Never Figure It Out
  The Paradox of Market Efficiency and Randomness
  Embracing the Mayhem – A Practical Summary
  What is the “Price” of a Stock?
  The Limit Order Book
  A Trading Day – Trading GE on the NYSE
  The Pre-Open and Opening Auction
  The Regular Trading Session
  Log Returns
• Bonus Material: Doing Financial Data Analysis in R
  Lesson Content
  3 Steps
  Objects, Functions and Pipes in R
  Tidy Data and Switching between Wide and Long Format
  Financial Data Manipulation in dplyr for Quant Traders
• Bonus Material: Examples of Real-Time, Exploratory Research
  Lesson Content
  5 Steps
  Real World Research Examples
  Research Example – Cryptocurrency Trend Effects
  Research Example- Intraday Cryptocurrency Return Patterns
  Research Example – Wrap-up Trend, Seasonality and Momentum Effect Research
  Research Examples – Summary
• Bonus Material: Simple Cryptocurrency Research in R
  Lesson Content
  6 Steps
  An Introduction to Cryptocurrency Trading
  Cryptocurrency Trading Module Logistics
  Repeating Seasonal Patterns
  Trend and Momentum Effects
  Futures Basis Effects
  Trade Execution and Idiosyncratic Effects
• Bonus Material: Dynamic Sizing in Risk Premia Harvesting
  Lesson Content
  10 Steps
  Our Stonkingly Obvious High-Probability Edge: Risk Premia Harvesting
  Some Things Just Go up (If You Wait Long Enough)
  Universe Selection
  Equal Weight Buy and Hold
  Equal Weight Rebalanced
  Simple Risk Parity – Managing Volatility
  Predicting Returns and Return Volatility
  An Introduction to Volatility Targeting
  Volatility Targeting in the Real World
  Our Simple Risk Premia Harvesting Strategy

Who Should Enroll in the Trade Like A Quant Bootcamp?

Is This Bootcamp Right for You?

A detailed examination of who can benefit most from the bootcamp, from beginners to experienced traders looking to pivot to a quantitative approach.

Enrolling in the Bootcamp

How to Get Started

Step-by-step guidance on the enrollment process, prerequisites, and what participants can expect once they join the Trade Like A Quant Bootcamp.

Maximizing Your Bootcamp Experience

Preparation Tips

Advice on how to prepare for the bootcamp to ensure participants can hit the ground running from day one.

Engaging with the Quant Community

The importance of engaging with the bootcamp community for networking, sharing insights, and collaborative learning.

Looking Beyond the Bootcamp

Continued Learning and Development

Resources and strategies for continued learning and development in quantitative trading post-bootcamp.

Conclusion

Robot Wealth’s Trade Like A Quant Bootcamp stands as a gateway to the world of quantitative trading. By demystifying complex concepts and providing hands-on experience, the bootcamp prepares traders to confidently tackle the markets with data-driven strategies.

 

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   Unveiling the Truth
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