Name

Capstone Project Coding a Simple HFT Market Making Bot

Module 2 Python Fundamentals for Finance

Module 3 Working with Financial Data

Module 4 How to Code and Backtest a Trading Algorithm

Module 5 Automated Data Collection, Cleaning, and Storage

Module 6 Analyzing Fundamentals in Python

Module 7 Options & Derivatives Pricing Models

Module 8 Introduction to High-Frequency Trading

Project 1 Research & Backtest a Realistic Trading Algorithm

Project 2 Volatility Surface Analysis Tool

Project 3 Design & Build a Limit Order Book

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Project Overview Building a Simple Market Making Bot Python for Traders.htm

Project Summary Python for Traders.htm

Solution Add Alpha to the Pricing Strategy Python for Traders.htm

Solution Define a System and Class Architecture Class Architecture Python for Traders.htm

Solution Define the Event Loop Solution Define the Event Loop Python for Traders.htm

Solution Implement the Data Feeds Python for Traders.htm

Solution Implement the Order Manager Python for Traders.htm

Step 1 Define a System and Class Architecture Python for Traders.htm

Step 2 Define the Event Loop Python for Traders.htm

Step 3 Implement the Data Feeds Python for Traders.htm

Step 4 Implement the Order Manager Python for Traders.htm

Step 5 Add Alpha to the Pricing Strategy Python for Traders.htm

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2.1. Python Installation and Setup UsageLesson Summary Python for.htm

2.3.1.mp4

2.3.2.mp4

2.3.3.mp4

2.3.4.mp4

2.3. Basic Python ExpressionsVariables ConditionalsLoopsLesson Summary Python for.htm

2.4.1.mp4

2.4. Intermediate Python FunctionsClassesData StructuresSummary Python for.htm

2.6. Data Science in Python Python for.htm

2.7. Key library Pandas Diving Deeper into pandas.DataFramesExample Loading Stock Data from Yahoo! FinanceLesson Summary Python for.htm

2.8. Key library NumPy Example Computing Stock ReturnsLesson Summary Python for.htm

2.9. Key library Matplotlib Lesson Summary Python for.htm

2.10. Key library Statsmodels Hypothesis TestingRegressionsTime Series AnalysisLesson Summary Python for.htm

2.11. Key library Scikit-learn Lesson Summary Python for.htm

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3.1. Introduction to Financial Data Time Series and Cross-Sections Time Series DataLesson Summary Python for Traders.htm

3.2.1.mp4

3.2.2.mp4

3.2. Data Acquisition and Cleaning Lesson Summary Python for Traders.htm

3.3.1.mp4

3.3.2.mp4

3.3.3.mp4

3.3.4.mp4

3.3. Time Series Analysis Components of Time SeriesLesson Summary Python for Traders.htm

3.4.1.mp4

3.4.2.mp4

3.4.3.mp4

3.4. Understanding Stationarity Lesson Summary Python for Traders.htm

3.5. Time Series Forecasting Lesson Summary Python for Traders.htm

3.6. Exploratory Data Analysis Lesson Summary Python for Traders.htm

3.7. Section summary Python for Traders.htm

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4.1. So what is a trading algorithm History of Algorithmic TradingLesson Summary Python for Traders.htm

4.2. Algorithm Design Principles Lesson Summary Python for Traders.htm

4.3.1.mp4

4.3. Data Management Module Lesson Summary Python for Traders.htm

4.4.1.mp4

4.4. Signal Generation Module Python for Traders.htm

4.5.1.mp4

4.5. Risk Management Module Python for Traders.htm

4.6.1.mp4

4.6. Trade Execution Module Python for Traders.htm

4.7.1.mp4

4.7. Portfolio Management Module Python for Traders.htm

4.8. Backtesting Basics Lesson Summary Python for Traders.htm

4.9. Backtesting Software Zooming In QuantConnect Python for Traders.htm

4.10. Advanced Backtesting Techniques OverfittingCross-ValidationLesson Summary Python for Traders.htm

4.11. Optimization and Parameter Tuning Lesson Summary Python for Traders.htm

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5.1.1.mp4

5.1. Sourcing financial data Stock data Cryptocurrency exchanges Python for Traders.htm

5.2. Working with CSVs Lesson Summary Python for Traders.htm

5.3. Working with JSON Reading from a Stock Data API Lesson Summary Python for Traders.htm

5.4.1.mp4

5.4.2.mp4

5.4.3.mp4

5.4.4.mp4

5.4.5.mp4

5.4.6.mp4

5.4. Scraping data from APIs Data Scraping Python for Traders.htm

5.5. Scraping data from websites Extracting Data from HTMLExample Code BeautifulSoup4 Python for Traders.htm

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6.2. Types of Fundamental Data Financial StatementsLesson Summary Python for Traders.htm

6.3. Gathering & Cleaning Fundamental Data AutomationLesson Summary Python for Traders.htm

6.4. Automated Screening & Filtering Python for Traders.htm

6.5. Statistical Analysis of Fundamental Data Lesson Summary Python for Traders.htm

6.6. Natural Language Processing on News Articles Alpaca News APIGetting Historical News Data Python for Traders.htm

6.7. Natural Language Processing on Annual Reports Lesson Summary Python for Traders.htm

6.8. Using LLMs for Natural Language Processing Python for Traders.htm

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7.1. Introduction to Options & Derivatives Lesson Summary Python for Traders.htm

7.2. Basics of Option Pricing Lesson Summary Python for Traders.htm

7.3. The Binomial Options Pricing Model Lesson Summary Python for Traders.htm

7.4. The Black-Scholes-Merton Model Lesson Summary Python for Traders.htm

7.5. Monte Carlo Simulation for Option Pricing Lesson Summary Python for Traders.htm

7.6. Introduction to Exotic Options Lesson Summary Python for Traders.htm

7.7. Interest Rate Derivatives and Term Structure Term Structure and Yield CurveLesson Summary Python for Traders.htm

7.8. Implementing Finite Difference Methods for Option Pricing Lesson Summary Python for Traders.htm

7.9. Volatility and Implied Volatility Lesson Summary Python for Traders.htm

7.10. Advanced Topics and Modern Developments (Optional) Stochastic Volatility Models Python for Traders.htm

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8.1. What is High Frequency Trading (HFT) Lesson Summary Python for Traders.htm

8.2. Handling High-Frequency Tick Data Lesson Summary Python for Traders.htm

8.3. Latency Measurement and Simulation Lesson Summary Python for Traders.htm

8.4. Understanding the HFT Market Making Strategy Lesson Summary Python for Traders.htm

8.5. Understanding Statistical Arbitrage with High-Frequency Data Lesson Summary Python for Traders.htm

8.6. Signal Processing for HFT Lesson Summary Python for Traders.htm

8.7. Real-time News Processing Lesson Summary Python for Traders.htm

8.8. Section summary Python for Traders.htm

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Project Overview 1.mp4

Project Overview 2.mp4

Project Overview Python for Traders.htm

Project Summary Python for Traders.htm

Solution 4 Run a Backtesting Analysis Python for Traders.htm

Solution Develop the Algorithm Python for Traders.htm

Solution Formulate a Strategy Python for Traders.htm

Step 1 Getting Started on QuantConnect Python for Traders.htm

Step 1.mp4

Step 2 Formulate a Strategy Python for Traders.htm

Step 3 Develop the Algorithm Python for Traders.htm

Step 4 Run a Backtesting Analysis Python for Traders.htm

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Project Overview Python for Traders.htm

Project Summary Python for Traders.htm

Solution Calculating Implied Volatilities Python for Traders.htm

Solution Fetching Options Data Python for Traders.htm

Solution Plot a 3D Volatility Surface Python for Traders.htm

Step 1 Fetching Options Data Python for Traders.htm

Step 2 Calculating Implied Volatilities Python for Traders.htm

Step 3 Plot a 3D Volatility Surface Python for Traders.htm

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Project Overview What is a Limit Order Book Python for Traders.htm

Project Summary Python for Traders.htm

Solution Add Functionality Python for Traders.htm

Solution Design the Data Structure Breakdown Python for Traders.htm

Solution Simulate Live Orders Python for Traders.htm

Step 1 Design the Data Structure Python for Traders.htm

Step 2 Add Functionality Python for Traders.htm

Step 3 Simulate Live Orders Python for Traders.htm