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The Complete Python for Finance, Trading, Web3 & Metaverse (LEVELS 1 - 10)
Introduction
00 Course Overview (8:36)
LEVEL 0 - Compare stock performance with Python
00 Project Overview (2:58)
01 Define Stocks To Compare From Yahoo Finance (4:16)
02 Scrape Stock Data From yfinance API (13:49)
03 Visualize Stock Performance (11:29)
Source Files
LEVEL 1 - Finance Fundamentals - Stock Trading - Intro
01.01 Introduction To The Course (2:35)
01.02 Introduction Of The Instructor (1:24)
01.03 Course Requirements (1:10)
Source Slides
Stock Trading Course - 02. Market Basics
02.01_Why You Should Trade (7:28)
02.02_What Is A Stock (4:45)
02.03_What Is A Market (2:26)
02.04_What Is A Stock Exchange (3:03)
02.05_What Is A Broker (5:10)
02.06_Where To Trade (4:36)
Source Files
Stock Trading Course - 03. Orders And Prices
03.01_Orders And Order Types (17:15)
03.02_Orders Driving Prices (2:30)
03.03_Different Players (4:06)
03.04_Ways To Make Money (3:45)
Source Files
Stock Trading Course - 04. Technical Analysis
04.01_What Is Technical Analysis (10:37)
04.02_Charts And Candlesticks (20:59)
04.03_Trends, Support And Resistance (7:41)
04.04_Chart Patterns (7:10)
04.05_Volume (9:57)
04.06_Bollinger Bands (7:25)
04.07_Relative Strength Index (10:21)
04.08_Average True Range (5:01)
Source Files
Stock Trading Course - 05. Fundamental Analysis
05.01_What Is Fundamental Analysis (15:43)
05.02_Financial Statements (13:58)
05.03_Fundamental Ratios (4:39)
05.04_Current Vs Expected (2:46)
05.05_Growth Vs Value Companies (4:59)
05.06_Trend Analysis (8:17)
05.07_Benchmarking (7:29)
05.08_Dividend Discount Model (13:19)
05.09_Stock Splits (5:45)
05.10_Other Metrics (4:22)
Source Files
Stock Trading Course - 06. Risk And Money Management
06.01_What To Expect (15:22)
06.02_Gambling Vs Educated Betting (3:19)
06.03_Batting Average (3:56)
06.04_Win-Loss Ratio (5:15)
06.05_Risk Management (7:24)
06.06_Money Management (10:35)
06.07_Position Sizing (10:03)
Source Files
Day Trading Course - 01. Introduction To The Course
SECTION 1.1 - INTRODUCTION (1:35)
Source Slides
Day Trading Course - 02. Day Trading Fundamentals
SECTION 2.1 - What is Day Trading (1:51)
SECTION 2.2 - Why Most People Fail At Day Trading (5:02)
SECTION 2.3 - Pros And Cons Of Day Trading (13:46)
SECTION 2.4 - Types Of Day Trading (1:18)
Source Slides
Day Trading Course - 03. Stock Analysis For Day Trading
SECTION 3.1 - Risk And Account Management (4:11)
SECTION 3.2 - How To Choose The Right Stock (13:46)
SECTION 3.3 - Scale Out Your Trade (2:38)
SECTION 3.4 - How to Use Stock Screeners (3:33)
SECTION 3.5 - Important Indicators To Use (5:43)
SECTION 3.6 - Get Trading Signals From Indicators (5:56)
SECTION 3.7 - Use A Trading View Platform (3:53)
Source Slides
Day Trading Course - 04. Strategies And Tools (With Practical Examples)
4.1 - Overview Of Day Trading (8:27)
4.2 - Trading Plans Overview (5:40)
4.3 - Deployment Process (5:10)
4.4 - Analyze Historical Performance (9:55)
4.5 - Which Broker To Use (6:45)
Source Slides
Day Trading Course - 05. Open Price Gaps Strategy
SECTION 5.1 - What Is The Open Price Gaps Strategy (3:09)
SECTION 5.2 - Warning About Scammers (3:30)
SECTION 5.4 - Build A Trading Plan and Stock Screening (2:17)
SECTION 5.3 - Opening And Closing Auctions (4:26)
Source Slides
Day Trading Course - 06. Equity Dilution Strategy
SECTION 6.1 - What Is The Equity Dilution Strategy (4:39)
SECTION 6.2 - Why The Strategy Works (2:49)
SECTION 6.3 - How To Research (3:02)
SECTION 6.4 - How To Backtest (5:52)
SECTION 6.5 - Build A Trading Plan and Stock Screening (1:44)
Source Slides
Day Trading Course - 07. Dividend Cuts Strategy
SECTION 7.1 - What Is The Dividend Cuts (5:10)
SECTION 7.2 - Present Value of Money (13:46)
SECTION 7.3 - When A Company Cuts Dividends (3:02)
SECTION 7.4 - Build A Trading Plan and Stock Screening (1:37)
Source Slides
Cryptocurrency Trading - 01. Introduction To The Course
01.01. Introduction To The Course (4:02)
01.02 Introduction Of The Instructor (2:04)
01.03 Course Requirements (0:22)
Source Files
Cryptocurrency Trading - 02. Cryptocurrency Fundamentals
02.01 Introduction Of Crypto Currencies (4:32)
02.02 Introduction Of Bitcoin (7:06)
02.03 Introduction Of Ethereum (2:25)
02.04 Inroduction Of Altcoins (1:30)
02.05 Introduction Of Multiplier (2:24)
02.06 Difference Of Fiat And Satoshi (7:21)
02.07 Difference Of Coin And Token (6:30)
Source Files
Cryptocurrency Trading - 03. Crypto Investing Fundamentals
3.1 Most Profitable Cryptocurrencies (8:48)
3.2 Where To Find Cryptocurrency Data (0:35)
3.3 Tips For Investing (10:17)
3.4 Warnings About Investing (3:33)
3.5 Invest In A Coin Long-Term (2:43)
3.6 Invest In A Coin Short-Term (3:44)
3.7 When To Buy And Exit (1:46)
3.8 Maximize Gains (2:00)
3.9 Spot Hidden Coins (3:32)
Source Files
Cryptocurrency Trading - 04. Buy Your First Cryptocurrency
4.1 Need To Buy Crypto (9:21)
4.2 Buy Bitcoin With Your Normal Currency (1:16)
4.3 Send Money To An Exchange (5:21)
4.4 Sell Your First Cryptocurrency (13:46)
4.5 Decentralised Exchanges & Uniswap (21:10)
4.6 Pancakeswap (7:36)
Source Files
Cryptocurrency Trading - 05. Criteria For Investing
5.1 Large, Mid And Micro Cap Coins (9:37)
5.2 How To Get Regular Profits (10:52)
5.3 Calculate Your Potential For Gains (2:39)
5.4 Additional Bonuses (2:52)
5.5 Investment’S Long Term Capability (1:28)
Source Files
Cryptocurrency Trading - 06. Buying Strategies
6.1 Short Term Strategy (4:31)
6.2 Long Term Strategy (7:04)
6.3 Playing The Market (2:05)
6.4 React When Your Investment Loses Money (3:13)
Source Files
Cryptocurrency Trading - 07. Technical Analysis - Crypto Trading Tactics
7.1 Bear Vs Bull Market (7:00)
7.2 Predict If A Crypto Will Soar Or Crash (12:27)
7.3 Find Optimal Price Of A Coin (9:58)
7.4 Stay Or Exit A Trade (8:15)
7.5 How To Use Candlesticks (4:27)
7.6 Spot Trends And Predict Future Prices (6:31)
Source Files
Cryptocurrency Trading - 08. Profitable Types Of Cryptocurrency
8.1 Why Blockchain Infrastructure Coins Are Valuable (35:50)
8.2 Why Privacy Coins Are Valuable (12:51)
8.3 Why Iot Coins Are Valuable (4:38)
8.4 Why Currencies Are Valuable (10:28)
8.5 Dapputility Coins Are Valuable (2:37)
Source Files
Cryptocurrency Trading - 09. How To Cash Out
9.1 Profits Back To Fiat (8:09)
9.2 Avoid High Fees When Selling (7:24)
Source Files
Cryptocurrency Trading - 10. DeFi Crypto Investing And Yield Farming
10.1 Defi And Yield Farming (20:02)
10.2 Why You Should Be A Yield Farmer (2:05)
10.3 Warnings About Yield Farmers (2:23)
10.4 How Buy New Defi Coins (2:14)
10.5 How To Reduce Gas Prices (8:35)
Source Files
Cryptocurrency Trading - 11. NFT Cryptos
11.1 What Are NFTs (4:33)
11.2 NFTs Are A High Profit Investment (4:36)
11.3 Different NFT Platforms (2:17)
11.4 Yield Farming & NFT Platforms (3:07)
Source Files
Cryptocurrency Trading - 12. Invest In ICOs
12.1 What Are ICO (11:55)
12.2 Why Invest In ICOs (2:46)
12.3 Optimum Price During Pre-Sales (2:48)
12.4 Partake In Private Sales (4:07)
Source Files
Options Trading Course - 01. Introduction To The Course
01.01. Introduction To The Course (3:26)
Source Files
Options Trading Course - 02. Introduction To Call And Put Options
02.01. What Are Options (6:30)
02.02. Practical Example With A Stock (4:42)
02.03. Introduction To Call Options (1:40)
02.04. Practical Example Of A Call Option (4:28)
02.05. What Are In-the-money (Itm), At-the-money (Atm) And Out-of-the-money (Otm) Options (4:23)
02.06. Buyer And Seller Risk Profiles (4:21)
02.07. Risk Graphs (5:56)
02.08. Option Chain And Quote Screen (3:04)
02.09. Practical Stock Example - Choice Of Expiry Series And ITM, ATM and OTM Options (8:03)
02.10. Call Option Performance In Real-time And On The Day Of Expiry (4:58)
02.11. Risk Graphs Of Itm, Atm And Otm Options (1:35)
02.12. Option Sellers Risk Profile (5:10)
02.13. Real-world Example Of Put Options.mp4 (3:08)
Source Files
Options Trading Course - 03. Introduction To Time Decay
03.01. What Is Time Decay (3:31)
03.02. Practical Examples Of Time Decay (5:58)
Source Files
Options Trading Course - 04. Implied Volatility
04.01. What Is Implied Volatility (2:47)
04.02. Practical Examples Of Implied Volatility (3:01)
Source Files
Options Trading Course - 05. Option Greeks
05.01. What Are Option Greeks (3:36)
05.02. Option Delta (7:26)
5.03. Option Gamma (7:49)
05.04. Option Vega (4:52)
05.05. Option Theta (8:34)
Source Files
Options Trading Course - 06. Basic Strategies
06.01. Long Call Strategy (7:47)
06.02. Long Put Strategy (7:28)
06.03. Trade Set Up For Monthly Options (Indicators Settings) (13:39)
06.04. Covered Call Strategy (5:49)
06.05. Protective Put Strategy (6:54)
06.06. Writing Put Strategy (Selling Put Options) (7:28)
Source Files
Options Trading Course - 07. Options Spreads - Monthly Income Strategies
07.01. Bull Call Spread Strategy (13:27)
07.02. Bull Put Spread Strategy (8:42)
07.03 Bear Call Spread Strategy (8:03)
07.04. Bear Put Spread Strategy (6:48)
07.05. Call Back Spread Strategy (4:56)
07.06. Profitable Condition For Call Back Spread (10:04)
07.07. Put Back Spread Strategy (3:48)
07.08. Profitable Condition For Put Back Spread Strategy (7:37)
Source Files
Options Trading Course - 08. Neutral Strategies
08.01. Short Strangle Strategy (6:39)
08.02. Collar Strategy (6:30)
08.03. Long Butterfly Spread Strategy (7:14)
Source Files
Options Trading Course - 09. Volatile Strategies
09.01. Long Straddle Strategy (5:22)
Source Files
LEVEL 2 - Python Fundamentals - 00 Python Introduction
00. Introduction (4:42)
01. Intro To Python (5:46)
Python Fundamentals - 01 Code Python on the Web
02.01 What is Google Colab (4:24)
02.02 What If I Get Errors (2:39)
02.03 How Do I Terminate a Session (2:40)
Python Fundamentals - 02 Python Language Fundamentals
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
LEVEL 3- Stock Data Analysis - Python Crypto Stock Analysis - Overview
00 Course Overview - Python Crypto Stock Analysis (4:32)
Source Files
Prerequisites - 00 Introduction to Blockchain
00 Blockchain Introduction (8:32)
01 What Are Blockchains And Distributed Ledgers (3:48)
02 What Are Bitcoin And Ethereum (5:28)
03 Introduction To Crypto Trading (2:44)
04 What Is An NFT (2:44)
Prerequisites - 00b Introduction to the Stock Market
01 What Do Day Traders Trade (9:45)
02 What Is Volatility And Standard Deviation (3:33)
03 What Are The Best Assets To Day Trade (4:53)
04 Strategies For Stock Market Trading (2:37)
06 Stock Market Indicators (1:56)
07 Stock Market Lifecycle Trend Phases (2:20)
Introduction to the Stock Market Source Files
Introduction to DataFrames with Pandas Python Library - 00. Setup
00. Setting Up Pandas (2:24)
Introduction to DataFrames with Pandas Python Library - 01. Datastructures
01. Creating A Dataframe (22:42)
02. Sorting And Series (19:19)
03. Expanding A Dataframe (17:14)
Introduction to DataFrames with Pandas Python Library - 02. Manipulating DataFrames
01 Getting Values And Dealing With Nan Values (21:29)
02 Dropping Rows And Columns (23:57)
Introduction to DataFrames with Pandas Python Library - 03. Reading and Writing Data
01 Reading From Csv (19:40)
02 Writing To Csv (20:41)
Introduction to DataFrames with Pandas Python Library - 04. Analytical Approaches to Data
01 Starting With An Analysis (21:22)
02 Locating Data By Labels (20:16)
03 Statistical Description Of Data (19:50)
04 Histogram Plots In Pandas (21:56)
05 Starting An Analysis Of All Our Data (21:12)
06 Continuing An Analysis Of All Our Data (16:51)
Introduction to Data Science with NumPy Python Library - 00. Introduction
01. Introduction (2:34)
Introduction to Data Science with NumPy Python Library - 01. Numpy Arrays
01 Creating And Reshaping Numpy Arrays (21:04)
02 Creating Standard Numpy Arrays (21:05)
03 Creating Standard 2D Arrays (13:52)
04 Attributes On Numpy Arrays (19:09)
05 Resizing Arrays (13:19)
Introduction to Data Science with NumPy Python Library - 02. Manipulating Numpy Arrays
01 Writing An Array To File And Formating Strings (28:30)
02 Random Numbers (18:08)
03 Sorting In Numpy (22:56)
Introduction to Data Science with NumPy Python Library - 03. Calculations and Math
01 Calculations Within Numpy Arrays (22:30)
02 Math Functions With Numpy (22:56)
03 Integrating With Numpy (21:55)
04 Statistics With Numpy (20:39)
05 Polynomials (21:06)
06 Polynomials (Cont'd) (19:47)
Python Crypto Stock Analysis - 01 Analyze and visualize stock returns with Pandas, NumPy and Pyplot
01 Visualize Stock Prices With Pyplot (4:21)
02 Calculate Yearly Returns On Crypto Stocks (4:06)
Analyze Stock Returns Source Files
Python Crypto Stock Analysis - 02 Stock Portfolio Analysis with Python
00 Project Overview - Stock Portfolio Analysis With Python (2:35)
01 Build A Stock Portfolio (3:03)
02 Calculate Stock Portfolio Performance With Python (6:36)
03 Visualize Crypto Portfolio Returns With Pyplot (3:41)
04 Analyze Stock Portfolio Returns With Data Science (6:32)
05 Calculate Expected Cryptocurrency Returns With Pandas (3:03)
06 Visualize Stock Drawdowns With Python (4:13)
Stock Portfolio Analysis Source Files
Python Crypto Stock Analysis - 03 Build a Trading Strategy with Indicators
01 Build Sma And Ema With Ta-Lib (4:46)
02 Calculate Bollinger Bands For Crypto Stock (5:00)
03 Calculate Rsi For Stocks With Python (4:25)
04 Calculate Obv For Crypto Price Prediction With Python (5:01)
05 Calculate Moving Average Convergence Divergence (3:20)
Indicators Source Files
Python Crypto Stock Analysis - 04 Time Series Stock Forecasting on Crypto with Python
00 Project Overview - Time Series Stock Forecasting On Crypto Stock With Python (2:25)
01 Fit A Prophet Model For Stock Forecasting (10:08)
02 Visualize Stock Forecast With Python (2:47)
Stock forecasting source files
Python Crypto Stock Analysis - 05 Calculate stock risk and return with Python
01 Calculate Risk Vs Return Of Crypto Stock (5:54)
02 Visualize Risk Vs Return In Python (8:38)
Risk vs Return Source Files
Stock Market Data Analysis and Visualization with Python, Pandas, NumPy, Seaborn and Matplotlib - 00 Course Overview
00 Project Preview (3:16)
Stock Market Data Analysis and Visualization with Python, Pandas, NumPy, Seaborn and Matplotlib - 03 Compare Stocks and Returns
01 Fetch Stock Data (9:12)
02 Visualize Stock Data Features (7:32)
03 Calculate Daily Return (3:27)
04 Compare Returns Of Different Stocks (10:45)
05 Compare Closing Prices (8:48)
Source Files
Stock Market Data Analysis and Visualization with Python, Pandas, NumPy, Seaborn and Matplotlib - 04 Calculate and Visualize Risk
01 Visualize Standard Deviation And Expected Returns (5:44)
02 Calculate Value At Risk (3:52)
03 Monte Carlo Analysis To Estimate Risk (9:11)
04 Visualize Price Distribution (9:06)
Source Files
Build a Stock Ticker Dashboard Web App with Python, Dash and Pandas - 00 Course Overview
00 Project Preview (3:00)
Build a Stock Ticker Dashboard Web App with Python, Dash and Pandas - 03 Build a Stock Ticker Website
00 Stock List CSV File
01 Import Stock Data (7:46)
02 Build A Dash Web App (6:19)
03 Build Stock And Date Range Pickers (10:04)
04 Show Stock Data In The Web App (14:51)
05 Source Files
LEVEL 4 - Algorithmic Trading - Python Crypto Trading Strategies - 00 Course overview
00 Course Overview - Python Crypto Trading Strategies (4:39)
Source Files
Python Crypto Trading Strategies - 04 Simple Moving Averages Trading Strategy
00 Backtesting Simple Moving Averages Explained (2:04)
01 Load Data For Backtesting Sma With Vectorbt (3:20)
02 Build Trading Strategies With Vectorbt (3:40)
03 Simulate Portfolio With Vectorbt (3:41)
04 Visualize Trading Strategy With Kaleido (4:40)
SMA Source files
Python Crypto Trading Strategies - 04b Big Three Trading Strategy
00 What Is The Big Three Trading Strategy (2:27)
01 Big Three Trading Strategy On Binance Coin (6:58)
02 Big Three Trading Strategy On 1 Year Of Stocks (2:38)
Big Three Trading Strategy Source Files
Python Crypto Trading Strategies - 05 Exponential moving average trading strategy
00 Ema Trading Strategy For Crypto - Overview (2:57)
01 Load Data With Cryptometrics Api (7:53)
02 Visualize Historical Stock Prices With Matplotlib (6:31)
03 Build Exponential Moving Average Trading Strategy (3:54)
04 Visualize Price Vs Stock Indicators (5:37)
Source files
Python Crypto Trading Strategies - 06 Build autocorrelation for crypto stock prediction
00 Autocorrelation Explained For Crypto Stock Prediction (2:45)
01 Load Data For Crypto Price Autocorrelation With Pandas (5:52)
02 Visualize Crypto Price Data With Pyplot (3:13)
03 Apply Hodrick-Prescott Filter To Data With Python (4:10)
04 Calculate Autocorrelation With Python (3:25)
Autocorrelation Source Files
Algorithmic Trading with Python, Statistics and Pandas - Build Investing Strategies - 00 Course Overview
00 Project Preview (1:58)
Algorithmic Trading with Python, Statistics and Pandas - 03 Build Your First Investing Strategy
01 Make An API Call (6:18)
02 Convert Data To A Pandas Dataframe (9:41)
03 Batch Api Calls To Improve Performance (11:23)
04 Calculate The Number Of Shares To Buy (7:18)
05 Build An Excel File From The Pandas Dataframe (4:18)
Source Files
Algorithmic Trading with Python, Statistics and Pandas - 04 Find 50 Best Momentum Stocks with 2 Investing Strategies
00 Project 2 Preview (2:42)
01 Make An API Call (9:47)
02 Execute A Batch API Call (14:59)
03 Remove Low Momentum Stocks (6:06)
04 Calculate The Number Of Shares To Buy (7:53)
05 Find High Quality Momentum Stocks (11:42)
06 Calculate Momentum Percentiles (7:19)
07 Find The 50 Best Momentum Stocks (8:10)
08 Calculate New Number Of Shares To Buy (5:30)
09 Build An Excel File (3:41)
Source Files
Algorithmic Trading with Python, Statistics and Pandas - 05 Find 50 Best Value Stocks with 2 Investing Strategies
00 Project 3 Preview (1:55)
01 Build A Dataframe (5:58)
02 Remove Glamour Stocks (5:01)
03 Calculate The Number Of Shares To Buy (3:51)
04 Build A Composite Of Valuation Metrics (15:22)
05 Clean Dataframe (5:48)
06 Calculate Value Percentiles (4:50)
07 Find The 50 Best Value Stocks (6:57)
08 Calculate New Number Of Shares To Buy (3:24)
Source Files
Cryptocurrency Algorithmic Trading Masterclass with Python and Coinbase API - 00 Course Overview
00 Projects Preview (5:48)
Cryptocurrency Algorithmic Trading Masterclass with Python and Coinbase API - 03 Access Data with Coinbase Pro API
01 Fetch Historic Rates (8:12)
02 Calculate Simple Moving Average (5:26)
Source Files
Cryptocurrency Algorithmic Trading Masterclass with Python and Coinbase API - 04 Fetch Data with Sandbox Coinbase API
01 Fetch Spot Price (5:50)
02 Fetch Historical Data (2:24)
Source Files
Cryptocurrency Algorithmic Trading Masterclass with Python and Coinbase API - 05 Buy and Sell with Real Coinbase API
01 Check Coinbase Account Balance (7:42)
02 Buy And Sell Cryptocurrency Algorithmically (9:57)
03 Send And Request Bitcoin Algorithmically (3:19)
Source Files
LEVEL 5 - Stock Market Machine Learning - Python Crypto Machine Learning - 01 (Prerequisite) Introduction to Machine Learning
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:03)
01 How Does A Machine Learning Agent Learn (7:38)
02 What Is Inductive Learning (4:11)
03 Performance Of A Machine Learning Algorithm (4:14)
04 Handle Noise In Data (5:22)
05 Powerful Tools With Machine Learning Libraries- (12:11)
Python Crypto Machine Learning - 02 Overview of Regression Models (Prerequisite)
00 Regression Introduction (8:58)
01 What Is Regression (19:55)
02 What Is Linear Regression (5:03)
Python Crypto Machine Learning - 03 Support Vector Machine Machine Learning (Prerequisite)
03A Why Do We Need Svm (7:15)
03B How Does Svm Work (6:28)
03C Svm On Non-Linear Data (4:48)
03D What Are Svm Kernels (4:44)
03E What Is The Precision-Recall Score (4:42)
Python Crypto Machine Learning - 04 Compare regression techniques for crypto machine learning
00 Project Overview - Regression Machine Learning For Crypto Stocks (3:00)
01 Load Eth Data From Yahoo Finance With Python (3:45)
02 Build Regression Models To Predict Eth Price (7:14)
Python Crypto Machine Learning - 05 Decision Tree Machine Learning (Prerequisite)
03 Make Decisions With Decision Trees (10:51)
04 What Is The Random Forest Classifier Model (5:42)
Python Crypto Machine Learning - 06 Trees - Compare regression techniques for crypto machine learning
04 Compare Regression Model Results For Asset Prediction (3:18)
03 Build Tree Regression Models To Predict Crypto Price (2:55)
Trees - Source files
Python Crypto Machine Learning - 07 Build an AdaBoost machine learning model for stock prediction
01 Project Overview - Adaboost Stock Prediction (7:28)
02 Build Stock Dataset For Machine Learning (5:33)
03 Build An Adaboost Regression Machine Learning Model For Stock Prediction (6:47)
04 Find Best Ml Model With Optimal Number Of Estimators (15:18)
AdaBoost Source Files
Python Crypto Machine Learning - 08 Overview of Classification Models
00 What Is Naive Bayes Machine Learning (1:34)
01 What Is Gaussian Probability Distribution- (2:31)
Source files
Python Crypto Machine Learning - 09 Compare classification models for crypto machine learning
00 Project Overview - Classification Machine Learning For Crypto Stocks (7:05)
01 Load And Prepare Crypto Data In Colab (8:32)
02 Build Classification Models To Predict Stock (7:59)
03 Build Tree Classification Models To Predict Crypto Price (3:25)
04 Compare Classification Model Results With Numpy And Pandas (3:50)
Classification source files
Python Crypto Machine Learning - 10 Build a Support Vector Machine to Predict Trading
01 Load Yfinance Data Into Colab (4:10)
02 Build Trading Signals With Sma Windows (3:49)
03 Calculate And Visualize Strategy Returns (2:48)
04 Prepare Data For Machine Learning (6:40)
05 Build A Support Vector Classifier With Sklearn (3:01)
06 Calculate And Visualize Returns From Model (4:08)
SVM Source files
Predict Stock Trends with Twitter Sentiment Analysis Machine Learning - 04 Preprocess Twitter Sentiment and Stock Prices Data
01 Fetch Twitter Sentiment And Stock Prices Datasets (5:34)
Source Files
02 Merge Datasets Into Dataframe (11:46)
Predict Stock Trends with Twitter Sentiment Analysis Machine Learning - 05 Build a Random Forest Classifier Machine Learning Model
00 Project Preview (2:27)
01 What Is The Random Forest Classifier Model (5:42)
02 Process Stock And Sentiment Dataframe (5:48)
02-03 Processing And Sorting Sentiment Data-1 (14:40)
04 Calculate Stock Trend (Rising Or Falling) (8:16)
05 Build A Binary Encoding Of Sentiment (5:14)
06 Split And Scale Data (13:56)
07 Build A Random Forest Classifier Model (13:06)
08 Evaluate The Model (6:48)
Source Files
Predict Stock Trends with Twitter Sentiment Analysis Machine Learning - 06 Build a Gradient Boosting Classifier
00 Project Preview (1:33)
01 What Is Gradient Boosting (1:56)
02 Test Different Learning Rates (8:09)
03 Make A Prediction With A Gradient Boosting Classifier (7:13)
04 Evaluate The Model (3:20)
Source Files
Trading Bot Masterclass - Buy Crypto with Tweets that include Sentiment Analysis - Course Overview
00 Course Overview (8:08)
Source Files
Trading Bot Masterclass - 02 Scrape and Process Tweets
01 Get Twitter Developer API (6:49)
02 Get Latest Tweet Via API (12:53)
03 Check If Tweeted About Cryptocurrency (5:58)
Source Files
Trading Bot Masterclass - 03 Tweet Sentiment Analysis
01 What Is Sentiment Analysis (10:28)
02 Analyze Tweet Sentiment (11:02)
Source Files
Trading Bot Masterclass - 04 Buy Cryptocurrency Algorithmically - Test with Sandbox
01 Get Coinbase Pro Sandbox API (6:40)
02 Open Coinbase Pro Sandbox Account Via API (17:45)
03 Test Buy From Coinbase Sandbox Via API (7:44)
Source Files
Trading Bot Masterclass - 05 Buy Cryptocurrency Algorithmically - Real Coins
02 Buy Cryptocurrency From API (6:56)
Source Files
01 Get Coinbase API (5:33)
Trading Bot Masterclass - 06 Run Bot All Day
01 Run Bot All Day (6:11)
Source Files
Trading Bot Masterclass - 07 Buy Doge with Kraken API
01 How To Access Kraken API (5:22)
02 Buy Doge Algorithmically (5:22)
Source Files
Trading Bot Masterclass - 08 Data Analysis - Other Cryptos Affected by Tweets
00 Project Preview (3:25)
01 Fetch Crypto Stock Data (5:40)
02 Visualize Crypto Data (4:32)
03 Scrape Historical Tweets (13:10)
04 Filter Tweets About Crypto Only (4:21)
05 Visualize Tweet Effects On Crypto Value (7:05)
Source Files
Trading Bot Masterclass - 09 How to Expand Bot
01 Challenge - How To Expand Bot (2:47)
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Continue to Levels 6 - 10
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00 Project Overview - Classification Machine Learning For Crypto Stocks
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