Udemy-Algorithmic Trading & Quantitative Analysis Using Python

磁力链接/BT种子名称

Udemy-Algorithmic Trading & Quantitative Analysis Using Python

磁力链接/BT种子简介

种子哈希：bf598b79d2c7bfd47a40f193e0e6a16f6af7c2f2
文件大小： 12.56G
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收录时间：2021-03-10
最近下载：2025-10-08

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文件列表

  • 7. Value Investing/6. Piotroski F-Score Implementation in Python.mp4 435.1 MB
  • 6. Backtest Your Strategies/3. Strategy I in Python.mp4 434.4 MB
  • 6. Backtest Your Strategies/6. Strategy II in Python -II.mp4 403.6 MB
  • 7. Value Investing/3. Magic Formula Implementation in Python.mp4 400.6 MB
  • 2. Getting Data/10. Using Web Scraping to Extract Stock Fundamental Data - II.mp4 373.6 MB
  • 8. Building Automated Trading System on a Shoestring Budget/11. OANDA API.mp4 346.4 MB
  • 6. Backtest Your Strategies/8. Strategy III in Python.mp4 340.3 MB
  • 8. Building Automated Trading System on a Shoestring Budget/5. FXCM API.mp4 319.9 MB
  • 4. Technical Indicators/14. Slope Implementation in Python.mp4 306.2 MB
  • 8. Building Automated Trading System on a Shoestring Budget/12. SMA Crossover Strategy using OANDA API.mp4 272.0 MB
  • 10. Bonus Section Sentiment Analysis/8. Building a Sentiment Analyzer using VADER - Part II.mp4 268.5 MB
  • 4. Technical Indicators/18. TA-Lib Installation and Application.mp4 247.5 MB
  • 6. Backtest Your Strategies/5. Strategy II in Python -I.mp4 240.4 MB
  • 3. Basic Data Handling and Operations/3. Rolling Operations - Data In Motion.mp4 226.6 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/2. Launching AWS EC2 Instance.mp4 224.5 MB
  • 2. Getting Data/7. Alpha Vantage - Getting Data for Multiple Tickers.mp4 214.8 MB
  • 2. Getting Data/9. Using Web Scraping to Extract Stock Fundamental Data - I.mp4 214.7 MB
  • 6. Backtest Your Strategies/10. Strategy IV in Python.mp4 214.4 MB
  • 4. Technical Indicators/16. Renko Implementation in Python.mp4 205.1 MB
  • 4. Technical Indicators/10. ADX Implementation in Python.mp4 203.2 MB
  • 3. Basic Data Handling and Operations/5. Visualization Basics - II.mp4 203.0 MB
  • 10. Bonus Section Sentiment Analysis/12. Building a ML Based Sentiment Analyzer - Part II.mp4 201.1 MB
  • 8. Building Automated Trading System on a Shoestring Budget/4. Introduction to FXCM Terminal.mp4 200.8 MB
  • 3. Basic Data Handling and Operations/1. Handling NaN Values.mp4 199.1 MB
  • 4. Technical Indicators/5. ATR and Bollinger Bands Implementation in Python.mp4 196.2 MB
  • 4. Technical Indicators/9. ADX Implementation in Excel.mp4 193.5 MB
  • 11. Archived Lectures/3. Getting Data Using Pandas Datareader.mp4 183.8 MB
  • 8. Building Automated Trading System on a Shoestring Budget/8. Building an Automated Trading System - part III.mp4 183.6 MB
  • 2. Getting Data/11. Updated Web-Scraping Code - Yahoo-Finance Webpage Changes.mp4 178.7 MB
  • 8. Building Automated Trading System on a Shoestring Budget/7. Building an Automated Trading System - part II.mp4 174.5 MB
  • 5. Performance Measurement - KPIs/9. Maximum Drawdown and Calmar Ratio in Python.mp4 168.1 MB
  • 2. Getting Data/3. yfinance - Getting Data for Multiple Stocks.mp4 164.4 MB
  • 3. Basic Data Handling and Operations/2. Basic Statistics - Familiarize Yourself With Your Data.mp4 160.7 MB
  • 8. Building Automated Trading System on a Shoestring Budget/9. Building an Automated Trading System - part IV.mp4 160.5 MB
  • 2. Getting Data/5. yahoofinancials - Getting Data for Multiple Stocks.mp4 158.7 MB
  • 4. Technical Indicators/7. RSI Implementation in Python.mp4 156.3 MB
  • 4. Technical Indicators/6. RSI Overview and Excel Implementation.mp4 152.7 MB
  • 10. Bonus Section Sentiment Analysis/7. Building a Sentiment Analyzer using VADER - Part I.mp4 151.3 MB
  • 8. Building Automated Trading System on a Shoestring Budget/2. Using Time Module in Python.mp4 149.5 MB
  • 3. Basic Data Handling and Operations/4. Visualization Basics - I.mp4 149.4 MB
  • 10. Bonus Section Sentiment Analysis/3. Natural Language Processing Basics.mp4 147.8 MB
  • 4. Technical Indicators/3. MACD Implementation in Python.mp4 143.0 MB
  • 5. Performance Measurement - KPIs/7. Sharpe and Sortino in Python.mp4 142.6 MB
  • 2. Getting Data/8. Web Scraping Intro.mp4 140.8 MB
  • 10. Bonus Section Sentiment Analysis/5. VADER Introduction.mp4 127.2 MB
  • 8. Building Automated Trading System on a Shoestring Budget/6. Building an Automated Trading System - part I.mp4 125.1 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/6. SchedulingAutomating Your Scripts Using Crontab.mp4 118.3 MB
  • 5. Performance Measurement - KPIs/3. CAGR Implementation in Python.mp4 114.5 MB
  • 10. Bonus Section Sentiment Analysis/6. Textblob Introduction.mp4 112.0 MB
  • 11. Archived Lectures/2. Pandas Datareader Overview.mp4 111.0 MB
  • 8. Building Automated Trading System on a Shoestring Budget/1. AutomatedAlgorithmic Trading Overview.mp4 109.1 MB
  • 8. Building Automated Trading System on a Shoestring Budget/3. FXCM Overview.mp4 107.6 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/3. Connecting To The EC2 Instance I.mp4 107.4 MB
  • 2. Getting Data/4. yahoofinancials Library and Parsing JSON Data.mp4 103.1 MB
  • 4. Technical Indicators/1. Introduction to Technical Indicators.mp4 94.2 MB
  • 10. Bonus Section Sentiment Analysis/13. Building a ML Based Sentiment Analyzer - Part III.mp4 92.9 MB
  • 4. Technical Indicators/2. MACD Overview.mp4 89.9 MB
  • 2. Getting Data/6. Alpha Vantage Python Library Intro.mp4 88.3 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/7. Keeping Track of Running Processes.mp4 86.8 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/4. Connecting To The EC2 Instance II.mp4 85.5 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/5. Transferring Files to EC2 Instance.mp4 85.2 MB
  • 6. Backtest Your Strategies/4. Strategy II - Resistance Breakout.mp4 74.8 MB
  • 4. Technical Indicators/11. OBV Overview and Excel Implementation.mp4 72.8 MB
  • 10. Bonus Section Sentiment Analysis/9. Machine Learning Based Sentiment Analysis.mp4 72.2 MB
  • 8. Building Automated Trading System on a Shoestring Budget/10. OANDA Overview.mp4 63.8 MB
  • 1. Introduction/7. Creating Virtual Environment (Optional).mp4 62.8 MB
  • 4. Technical Indicators/15. Renko Overview.mp4 62.7 MB
  • 7. Value Investing/5. Introduction to Piotroski F-Score.mp4 62.5 MB
  • 2. Getting Data/2. yfinance Overview.mp4 61.1 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/8. Using Screen Command with Crontab.mp4 58.9 MB
  • 2. Getting Data/1. Data Gathering Intro.mp4 58.2 MB
  • 10. Bonus Section Sentiment Analysis/10. ML Feature Matrix & TF-IDF Introduction.mp4 57.6 MB
  • 4. Technical Indicators/13. Slope in a Chart.mp4 57.2 MB
  • 4. Technical Indicators/4. ATR and Bollinger Bands Overview.mp4 53.6 MB
  • 4. Technical Indicators/17. TA-Lib Introduction.mp4 52.5 MB
  • 7. Value Investing/2. Introduction to Magic Formula.mp4 51.7 MB
  • 10. Bonus Section Sentiment Analysis/4. Lexicon Based Sentiment Analysis.mp4 51.5 MB
  • 6. Backtest Your Strategies/9. Strategy IV - Renko and MACD.mp4 50.1 MB
  • 6. Backtest Your Strategies/2. Strategy I - Portfolio Rebalancing.mp4 49.9 MB
  • 10. Bonus Section Sentiment Analysis/2. Sentiment Analysis - Intuition.mp4 48.9 MB
  • 10. Bonus Section Sentiment Analysis/11. Building ML Based Sentiment Analyzer - Part I.mp4 47.0 MB
  • 6. Backtest Your Strategies/7. Strategy III - Renko and OBV.mp4 46.3 MB
  • 7. Value Investing/1. Value Investing Overview.mp4 43.8 MB
  • 4. Technical Indicators/12. OBV Implementation in Python.mp4 42.3 MB
  • 6. Backtest Your Strategies/1. Why Should I Backtest My Strategies.mp4 39.7 MB
  • 1. Introduction/1. What Is Covered in this Course.mp4 37.9 MB
  • 10. Bonus Section Sentiment Analysis/1. Why Sentiment Analysis.mp4 36.5 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/9. Shutting DownDeleting EC2 Instance.mp4 33.5 MB
  • 5. Performance Measurement - KPIs/6. Sharpe Ratio and Sortino Ratio.mp4 32.2 MB
  • 1. Introduction/5. Streaming Coding Lectures.mp4 31.7 MB
  • 4. Technical Indicators/8. ADX Overview.mp4 27.8 MB
  • 5. Performance Measurement - KPIs/8. Maximum Drawdown and Calmar Ratio.mp4 27.7 MB
  • 1. Introduction/6. Anaconda Distribution Intro.mp4 27.1 MB
  • 5. Performance Measurement - KPIs/4. How to Measure Volatility.mp4 26.8 MB
  • 5. Performance Measurement - KPIs/5. Volatility Measures' Python Implementation.mp4 26.2 MB
  • 10. Bonus Section Sentiment Analysis/14. Sentiment Analysis Application - Opportunities & Challenges.mp4 25.8 MB
  • 5. Performance Measurement - KPIs/2. CAGR Overview.mp4 24.2 MB
  • 9. Bonus Section Running Your Algorithms in Cloud/1. Why Cloud.mp4 23.3 MB
  • 1. Introduction/4. How To Get Help.mp4 18.0 MB
  • 5. Performance Measurement - KPIs/1. Introduction to Performance Measurement.mp4 12.0 MB
  • 1. Introduction/2. Course Prerequisites.mp4 11.3 MB
  • 1. Introduction/3. Is This For Me.mp4 8.2 MB
  • 11. Archived Lectures/2.1 library_versions.pdf 658.1 kB
  • 6. Backtest Your Strategies/6. Strategy II in Python -II.srt 41.9 kB
  • 6. Backtest Your Strategies/3. Strategy I in Python.srt 37.7 kB
  • 7. Value Investing/6. Piotroski F-Score Implementation in Python.srt 37.6 kB
  • 8. Building Automated Trading System on a Shoestring Budget/11. OANDA API.srt 37.5 kB
  • 8. Building Automated Trading System on a Shoestring Budget/5. FXCM API.srt 34.5 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/2. Launching AWS EC2 Instance.srt 30.6 kB
  • 4. Technical Indicators/14. Slope Implementation in Python.srt 30.0 kB
  • 2. Getting Data/10. Using Web Scraping to Extract Stock Fundamental Data - II.srt 28.6 kB
  • 7. Value Investing/3. Magic Formula Implementation in Python.srt 27.6 kB
  • 3. Basic Data Handling and Operations/1. Handling NaN Values.srt 27.4 kB
  • 6. Backtest Your Strategies/5. Strategy II in Python -I.srt 27.2 kB
  • 6. Backtest Your Strategies/8. Strategy III in Python.srt 27.1 kB
  • 8. Building Automated Trading System on a Shoestring Budget/12. SMA Crossover Strategy using OANDA API.srt 27.1 kB
  • 10. Bonus Section Sentiment Analysis/8. Building a Sentiment Analyzer using VADER - Part II.srt 26.1 kB
  • 2. Getting Data/7. Alpha Vantage - Getting Data for Multiple Tickers.srt 25.1 kB
  • 4. Technical Indicators/18. TA-Lib Installation and Application.srt 24.2 kB
  • 10. Bonus Section Sentiment Analysis/3. Natural Language Processing Basics.srt 22.8 kB
  • 10. Bonus Section Sentiment Analysis/12. Building a ML Based Sentiment Analyzer - Part II.srt 22.3 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/3. Connecting To The EC2 Instance I.srt 21.6 kB
  • 2. Getting Data/3. yfinance - Getting Data for Multiple Stocks.srt 20.3 kB
  • 2. Getting Data/5. yahoofinancials - Getting Data for Multiple Stocks.srt 20.2 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/6. SchedulingAutomating Your Scripts Using Crontab.srt 19.6 kB
  • 10. Bonus Section Sentiment Analysis/9. Machine Learning Based Sentiment Analysis.srt 19.3 kB
  • 6. Backtest Your Strategies/10. Strategy IV in Python.srt 19.0 kB
  • 8. Building Automated Trading System on a Shoestring Budget/1. AutomatedAlgorithmic Trading Overview.srt 18.8 kB
  • 8. Building Automated Trading System on a Shoestring Budget/4. Introduction to FXCM Terminal.srt 18.2 kB
  • 3. Basic Data Handling and Operations/3. Rolling Operations - Data In Motion.srt 17.9 kB
  • 2. Getting Data/9. Using Web Scraping to Extract Stock Fundamental Data - I.srt 17.8 kB
  • 8. Building Automated Trading System on a Shoestring Budget/2. Using Time Module in Python.srt 17.8 kB
  • 2. Getting Data/11. Updated Web-Scraping Code - Yahoo-Finance Webpage Changes.srt 16.8 kB
  • 3. Basic Data Handling and Operations/5. Visualization Basics - II.srt 16.3 kB
  • 8. Building Automated Trading System on a Shoestring Budget/8. Building an Automated Trading System - part III.srt 16.3 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/7. Keeping Track of Running Processes.srt 16.2 kB
  • 8. Building Automated Trading System on a Shoestring Budget/7. Building an Automated Trading System - part II.srt 16.0 kB
  • 4. Technical Indicators/16. Renko Implementation in Python.srt 15.6 kB
  • 2. Getting Data/4. yahoofinancials Library and Parsing JSON Data.srt 15.5 kB
  • 4. Technical Indicators/10. ADX Implementation in Python.srt 15.5 kB
  • 10. Bonus Section Sentiment Analysis/5. VADER Introduction.srt 15.4 kB
  • 10. Bonus Section Sentiment Analysis/10. ML Feature Matrix & TF-IDF Introduction.srt 15.0 kB
  • 1. Introduction/7. Creating Virtual Environment (Optional).srt 14.7 kB
  • 8. Building Automated Trading System on a Shoestring Budget/9. Building an Automated Trading System - part IV.srt 14.6 kB
  • 4. Technical Indicators/6. RSI Overview and Excel Implementation.srt 14.3 kB
  • 4. Technical Indicators/5. ATR and Bollinger Bands Implementation in Python.srt 14.2 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/5. Transferring Files to EC2 Instance.srt 14.0 kB
  • 11. Archived Lectures/3. Getting Data Using Pandas Datareader.srt 13.8 kB
  • 4. Technical Indicators/7. RSI Implementation in Python.srt 13.6 kB
  • 10. Bonus Section Sentiment Analysis/7. Building a Sentiment Analyzer using VADER - Part I.srt 13.6 kB
  • 3. Basic Data Handling and Operations/2. Basic Statistics - Familiarize Yourself With Your Data.srt 13.2 kB
  • 5. Performance Measurement - KPIs/9. Maximum Drawdown and Calmar Ratio in Python.srt 13.1 kB
  • 4. Technical Indicators/9. ADX Implementation in Excel.srt 12.6 kB
  • 5. Performance Measurement - KPIs/7. Sharpe and Sortino in Python.srt 12.6 kB
  • 3. Basic Data Handling and Operations/4. Visualization Basics - I.srt 12.4 kB
  • 5. Performance Measurement - KPIs/3. CAGR Implementation in Python.srt 11.9 kB
  • 4. Technical Indicators/3. MACD Implementation in Python.srt 11.9 kB
  • 2. Getting Data/8. Web Scraping Intro.srt 11.8 kB
  • 4. Technical Indicators/2. MACD Overview.srt 11.5 kB
  • 3. Basic Data Handling and Operations/3.1 rolling_ops.py 11.4 kB
  • 6. Backtest Your Strategies/4. Strategy II - Resistance Breakout.srt 11.0 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/8. Using Screen Command with Crontab.srt 11.0 kB
  • 2. Getting Data/6. Alpha Vantage Python Library Intro.srt 11.0 kB
  • 2. Getting Data/2. yfinance Overview.srt 10.8 kB
  • 8. Building Automated Trading System on a Shoestring Budget/6. Building an Automated Trading System - part I.srt 10.5 kB
  • 11. Archived Lectures/2. Pandas Datareader Overview.srt 10.5 kB
  • 10. Bonus Section Sentiment Analysis/2. Sentiment Analysis - Intuition.srt 10.5 kB
  • 4. Technical Indicators/1. Introduction to Technical Indicators.srt 10.3 kB
  • 7. Value Investing/5. Introduction to Piotroski F-Score.srt 10.3 kB
  • 8. Building Automated Trading System on a Shoestring Budget/3. FXCM Overview.srt 9.7 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/4. Connecting To The EC2 Instance II.srt 9.6 kB
  • 10. Bonus Section Sentiment Analysis/6. Textblob Introduction.srt 9.6 kB
  • 8. Building Automated Trading System on a Shoestring Budget/10. OANDA Overview.srt 9.4 kB
  • 7. Value Investing/2. Introduction to Magic Formula.srt 9.1 kB
  • 4. Technical Indicators/15. Renko Overview.srt 9.1 kB
  • 6. Backtest Your Strategies/1. Why Should I Backtest My Strategies.srt 9.1 kB
  • 6. Backtest Your Strategies/2. Strategy I - Portfolio Rebalancing.srt 9.0 kB
  • 6. Backtest Your Strategies/10.1 renko_macd.py 9.0 kB
  • 10. Bonus Section Sentiment Analysis/4. Lexicon Based Sentiment Analysis.srt 8.7 kB
  • 10. Bonus Section Sentiment Analysis/13. Building a ML Based Sentiment Analyzer - Part III.srt 8.5 kB
  • 8. Building Automated Trading System on a Shoestring Budget/9.1 fx_macd_renko.py 8.5 kB
  • 7. Value Investing/4.1 magic_formula_revised.py 8.2 kB
  • 7. Value Investing/7.1 piotroski_f_revised.py 8.1 kB
  • 6. Backtest Your Strategies/8.1 renko_obv.py 8.0 kB
  • 7. Value Investing/3.1 magic_formula.py 8.0 kB
  • 7. Value Investing/6.1 piotroski_f.py 7.9 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/1. Why Cloud.srt 7.5 kB
  • 4. Technical Indicators/11. OBV Overview and Excel Implementation.srt 7.4 kB
  • 2. Getting Data/1. Data Gathering Intro.srt 7.3 kB
  • 10. Bonus Section Sentiment Analysis/1. Why Sentiment Analysis.srt 7.2 kB
  • 6. Backtest Your Strategies/9. Strategy IV - Renko and MACD.srt 7.1 kB
  • 6. Backtest Your Strategies/6.1 breakout.py 7.1 kB
  • 4. Technical Indicators/4. ATR and Bollinger Bands Overview.srt 7.0 kB
  • 10. Bonus Section Sentiment Analysis/14. Sentiment Analysis Application - Opportunities & Challenges.srt 6.8 kB
  • 7. Value Investing/1. Value Investing Overview.srt 6.7 kB
  • 8. Building Automated Trading System on a Shoestring Budget/12.1 sma_crossover_v2.py 6.1 kB
  • 5. Performance Measurement - KPIs/6. Sharpe Ratio and Sortino Ratio.srt 6.0 kB
  • 5. Performance Measurement - KPIs/4. How to Measure Volatility.srt 5.9 kB
  • 4. Technical Indicators/17. TA-Lib Introduction.srt 5.8 kB
  • 1. Introduction/1. What Is Covered in this Course.srt 5.8 kB
  • 6. Backtest Your Strategies/7. Strategy III - Renko and OBV.srt 5.7 kB
  • 5. Performance Measurement - KPIs/8. Maximum Drawdown and Calmar Ratio.srt 5.5 kB
  • 5. Performance Measurement - KPIs/2. CAGR Overview.srt 5.5 kB
  • 4. Technical Indicators/8. ADX Overview.srt 5.1 kB
  • 1. Introduction/6. Anaconda Distribution Intro.srt 5.1 kB
  • 9. Bonus Section Running Your Algorithms in Cloud/9. Shutting DownDeleting EC2 Instance.srt 5.0 kB
  • 4. Technical Indicators/13. Slope in a Chart.srt 4.9 kB
  • 10. Bonus Section Sentiment Analysis/11. Building ML Based Sentiment Analyzer - Part I.srt 4.4 kB
  • 6. Backtest Your Strategies/3.1 portfolio_rebalance.py 4.3 kB
  • 8. Building Automated Trading System on a Shoestring Budget/11.1 oanda.py 4.2 kB
  • 4. Technical Indicators/12. OBV Implementation in Python.srt 3.9 kB
  • 1. Introduction/4. How To Get Help.srt 3.8 kB
  • 1. Introduction/5. Streaming Coding Lectures.srt 3.6 kB
  • 2. Getting Data/11.1 webscraping_revised.py 3.3 kB
  • 2. Getting Data/10.1 webscraping.py 3.3 kB
  • 4. Technical Indicators/10.1 adx.py 3.2 kB
  • 2. Getting Data/12.1 stockrow.py 2.9 kB
  • 2. Getting Data/12.2 stockrow.py 2.9 kB
  • 4. Technical Indicators/18.1 talib_intro.py 2.8 kB
  • 1. Introduction/2. Course Prerequisites.srt 2.7 kB
  • 5. Performance Measurement - KPIs/5. Volatility Measures' Python Implementation.srt 2.7 kB
  • 5. Performance Measurement - KPIs/1. Introduction to Performance Measurement.srt 2.5 kB
  • 10. Bonus Section Sentiment Analysis/8.1 crude_oil_vader.py 2.4 kB
  • 2. Getting Data/12.1 fmp.py 2.4 kB
  • 2. Getting Data/12.2 fmp.py 2.4 kB
  • 1. Introduction/3. Is This For Me.srt 2.4 kB
  • 4. Technical Indicators/7.1 rsi.py 2.1 kB
  • 11. Archived Lectures/3.1 pandas_datareader_script.py 2.0 kB
  • 4. Technical Indicators/16.1 renko.py 1.9 kB
  • 4. Technical Indicators/3.1 macd.py 1.9 kB
  • 2. Getting Data/7.1 alphavantage_script.py 1.9 kB
  • 10. Bonus Section Sentiment Analysis/11.1 crude_oil_news.py 1.9 kB
  • 4. Technical Indicators/14.1 slope.py 1.8 kB
  • 3. Basic Data Handling and Operations/5.1 visualization.py 1.8 kB
  • 4. Technical Indicators/5.1 atr_bb.py 1.7 kB
  • 8. Building Automated Trading System on a Shoestring Budget/5.1 fxcm.py 1.7 kB
  • 2. Getting Data/12. Other Free Data Resources.html 1.5 kB
  • 2. Getting Data/5.1 yahoofin_script.py 1.5 kB
  • 10. Bonus Section Sentiment Analysis/12.1 nb_train.py 1.4 kB
  • 3. Basic Data Handling and Operations/2.1 basic_functions.py 1.4 kB
  • 11. Archived Lectures/1. Archived Lectures - Important Note.html 1.2 kB
  • 10. Bonus Section Sentiment Analysis/5.2 vader_tblob.py 1.2 kB
  • 10. Bonus Section Sentiment Analysis/6.1 vader_tblob.py 1.2 kB
  • 10. Bonus Section Sentiment Analysis/13.1 nb_predict.py 1.2 kB
  • 5. Performance Measurement - KPIs/9.1 max_dd_calmar.py 1.1 kB
  • 5. Performance Measurement - KPIs/7.1 sharpe_sortino.py 1.1 kB
  • 8. Building Automated Trading System on a Shoestring Budget/2.1 time.py 1.0 kB
  • 4. Technical Indicators/12.1 obv.py 907 Bytes
  • 5. Performance Measurement - KPIs/3.1 cagr.py 886 Bytes
  • 2. Getting Data/3.1 yfinance_multiple_tickers.py 862 Bytes
  • 5. Performance Measurement - KPIs/5.1 volatility.py 810 Bytes
  • 10. Bonus Section Sentiment Analysis/3.1 nltk_intro.py 742 Bytes
  • 3. Basic Data Handling and Operations/1.1 handling_nan.py 688 Bytes
  • 9. Bonus Section Running Your Algorithms in Cloud/5.1 links_and_commands3.txt 625 Bytes
  • 7. Value Investing/4. Updated Python Code - Yahoo-Finance Webpage Changes.html 543 Bytes
  • 4. Technical Indicators/17.1 talib_links.txt 539 Bytes
  • 7. Value Investing/7. Updated Python Code - Yahoo-Finance Webpage Changes.html 533 Bytes
  • 2. Getting Data/2.1 yfinance_script.py 483 Bytes
  • 8. Building Automated Trading System on a Shoestring Budget/10.1 oanda_resources.txt 338 Bytes
  • 9. Bonus Section Running Your Algorithms in Cloud/6.1 links_and_commands4.txt 329 Bytes
  • 2. Getting Data/4.1 yahoofin_intro.py 308 Bytes
  • 9. Bonus Section Running Your Algorithms in Cloud/4.1 links_and_commands2.txt 279 Bytes
  • 9. Bonus Section Running Your Algorithms in Cloud/3.1 links_and_commands1.txt 254 Bytes
  • 3. Basic Data Handling and Operations/4.1 links.txt 189 Bytes
  • 8. Building Automated Trading System on a Shoestring Budget/12.2 sma_crossover_resources.txt 186 Bytes
  • 3. Basic Data Handling and Operations/How you can help GetFreeCourses.Co.txt 182 Bytes
  • 6. Backtest Your Strategies/How you can help GetFreeCourses.Co.txt 182 Bytes
  • 8. Building Automated Trading System on a Shoestring Budget/How you can help GetFreeCourses.Co.txt 182 Bytes
  • How you can help GetFreeCourses.Co.txt 182 Bytes
  • 10. Bonus Section Sentiment Analysis/5.1 VADER_links.txt 157 Bytes
  • 8. Building Automated Trading System on a Shoestring Budget/1.1 links.txt 125 Bytes
  • 2. Getting Data/8.1 links.txt 123 Bytes
  • 3. Basic Data Handling and Operations/Download Paid Udemy Courses For Free.url 116 Bytes
  • 3. Basic Data Handling and Operations/GetFreeCourses.Co.url 116 Bytes
  • 6. Backtest Your Strategies/Download Paid Udemy Courses For Free.url 116 Bytes
  • 6. Backtest Your Strategies/GetFreeCourses.Co.url 116 Bytes
  • 8. Building Automated Trading System on a Shoestring Budget/Download Paid Udemy Courses For Free.url 116 Bytes
  • 8. Building Automated Trading System on a Shoestring Budget/GetFreeCourses.Co.url 116 Bytes
  • Download Paid Udemy Courses For Free.url 116 Bytes
  • GetFreeCourses.Co.url 116 Bytes
  • 4. Technical Indicators/16.2 links.txt 77 Bytes

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