Autoplay
Autocomplete
Previous Lesson
Complete and Continue
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)
Source Files
Continue to Levels 6 - 10
Get this other amazing deal for 90% off, sale ends tonight
06.03. Trade Set Up For Monthly Options (Indicators Settings)
Lesson content will be unlocked within 30 minutes.
Teachable is working on this bug.
No further action will be required on your part
.
Thank you for your patience