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udemy stock technical analysis python

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Files:: 151
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Uploaded On:: March 31, 2021, 4:05 p.m.
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Description Full Course Content Last Update 06/2017 Section 1 Content Last Update 04/2020 Learn stock technical analysis through a practical course with Python programming language using S&P 500® Index ETF historical data for back-testing. It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or do research as experienced investor. All of this while referencing best practitioners in the field. Become a Stock Technical Analysis Expert in this Practical Course with Python Read or download S&P 500® Index ETF prices data and perform technical analysis operations by installing related packages and running code on Python IDE. Compute lagging stock technical indicators or overlays such as moving averages, Bollinger bands, parabolic stop and reverse. Calculate leading stock technical indicators or oscillators such as average directional movement index, commodity channel index, moving averages convergence/divergence, rate of change, relative strength index, stochastic oscillator and Williams %R. Determine single technical indicator based stock trading opportunities through price, double, bands, centerline and signal crossovers. Define multiple technical indicators based stock trading occasions through price crossovers confirmed by bands crossovers. Outline long (buy) or short (sell) stock trading strategies based on single or multiple technical indicators trading openings. Evaluate stock trading strategies performances by comparing them against buy and hold benchmark. Become a Stock Technical Analysis Expert and Put Your Knowledge in Practice Learning stock technical analysis is indispensable for finance careers in areas such as equity research and equity trading. It is also essential for academic careers in quantitative finance. And it is necessary for experienced investors stock technical trading research and development. But as learning curve can become steep as complexity grows, this course helps by leading you step by step using S&P 500® Index ETF prices historical data for back-testing to achieve greater effectiveness. Content and Overview This practical course contains 45 lectures and 8.5 hours of content. It’s designed for all stock technical analysis knowledge levels and a basic understanding of Python programming language is useful but not required. At first, you’ll learn how to read or download S&P 500® Index ETF prices historical data to perform technical analysis operations by installing related packages and running code on Python IDE. Next, you’ll calculate lagging stock technical indicators such as simple moving averages (SMA), exponential moving averages (EMA), Bollinger bands (BB), parabolic stop and reverse (SAR). After that, you’ll compute leading stock technical indicators such as average directional movement index (ADX), commodity channel index (CCI), moving averages convergence/divergence (MACD), rate of change (ROC), relative strength index (RSI), stochastic oscillator (Full STO) and Williams %R. Then, you’ll define single technical indicator based stock trading openings through price, double, bands and signal crossovers. Next, you’ll determine multiple technical indicators based trading opportunities through price crossovers which need to be confirmed by second technical indicator band crossover. Later, you’ll give shape to stock trading strategies which are long (buying) or short (selling) using single or multiple technical indicators trading occasions. Finally, you’ll evaluate stock trading strategies performance with buy and hold as initial benchmark and comparing their annualized return for performance, annualized standard deviation for volatility or risk and annualized Sharpe ratio for risk adjusted return. Who this course is for: Undergraduates or postgraduates at any knowledge level who want to learn about stock technical analysis using Python programming language. Finance professionals or academic researchers who wish to deepen their knowledge in quantitative finance. Experienced investors who desire to research stock technical trading strategies. This course is NOT about “get rich quick” trading systems or magic formulas. Requirements Python programming language is required. Downloading instructions included. Python Distribution (PD) and Integrated Development Environment (IDE) are recommended. Downloading instructions included. Practical example data and Python code files provided with the course. Prior basic Python programming language knowledge is useful but not required. Last Updated 4/2020

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[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/4. Stock Technical Analysis Data.mp4 169.5 MB
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[TutsNode.com] - Stock Technical Analysis with Python/4. Stock Trading Strategies/1.1 4. Stock Trading Strategies Slides (Python).pdf 455.2 KB
[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/7. Single Indicator Strategies Performance 5 (RSI, Full STO and %R).srt 30.0 KB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/9. Multiple Indicator Strategies Performance 2 (SMA with RSI, Full STO and %R).mp4 49.7 MB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/8. Multiple Indicator Strategies Performance 1 (SMA with CCI and ROC).srt 28.5 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/5. Course Data File.html 106 bytes
[TutsNode.com] - Stock Technical Analysis with Python/3. Stock Trading Signals/9. Multiple Indicator Trading Signals 2 (SMA with RSI, Full STO and %R).srt 27.7 KB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/5. Single Indicator Strategies Performance 3 (ADX and CCI).srt 27.6 KB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/6. Single Indicator Strategies Performance 4 (MACD and ROC).srt 27.2 KB
[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/3. Single Indicator Strategies Performance 1 (SMA and EMA).srt 26.7 KB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/5. Single Indicator Strategies Performance 3 (ADX and CCI).mp4 48.3 MB
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[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/5.1 Stock-Technical-Analysis-Data.txt 18.5 KB
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[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/6. Average Directional Movement Index Indicator.srt 11.8 KB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/7. Single Indicator Strategies Performance 5 (RSI, Full STO and %R).mp4 48.1 MB
[TutsNode.com] - Stock Technical Analysis with Python/3. Stock Trading Signals/2. Stock Trading Signals Overview.srt 9.9 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/5. Parabolic Stop and Reverse Indicator.srt 8.0 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/8. Moving Averages ConvergenceDivergence Indicator.srt 8.6 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/2. Stock Technical Indicators Overview.srt 7.6 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/11. Stochastic Oscillator Indicator.srt 7.5 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/3. Stock Technical Analysis.srt 7.3 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/7. Commodity Channel Index Indicator.srt 6.5 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/4. Bollinger Bands® Indicator.srt 6.3 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.6 SMA-and-STO.txt 6.2 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.1 SMA-and-CCI.txt 5.9 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/1. Course Description.srt 5.9 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/10. Relative Strength Index Indicator.srt 5.8 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.13 SMA-and-RSI.txt 5.8 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.8 SMA-and-%R.txt 5.8 KB
[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/9. Rate of Change Indicator.srt 5.7 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.16 SMA-and-ROC.txt 5.7 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.12 Average-Directional-Movement-Index.txt 5.6 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.3 Moving-Averages-Convergence-Divergence.txt 5.6 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.7 Bollinger-Bands.txt 5.3 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.15 Stochastic-Oscillator.txt 5.3 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.4 Parabolic-Stop-and-Reverse.txt 5.1 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.9 Commodity-Channel-Index.txt 5.0 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.5 Exponential-Moving-Averages.txt 5.0 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.2 Relative-Strength-Index.txt 5.0 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.10 Williams-%R.txt 4.9 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.11 Rate-of-Change.txt 4.9 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/6.14 Simple-Moving-Average.txt 4.9 KB
[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/2. Course Overview.srt 3.6 KB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/3. Single Indicator Strategies Performance 1 (SMA and EMA).mp4 46.9 MB
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[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/8. Moving Averages ConvergenceDivergence Indicator.mp4 16.7 MB
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[TutsNode.com] - Stock Technical Analysis with Python/2. Stock Technical Indicators/4. Bollinger Bands® Indicator.mp4 11.4 MB
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[TutsNode.com] - Stock Technical Analysis with Python/1. Course Overview/7.1 1. Stock Technical Analysis Overview Slides (Python).pdf 1.2 MB
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[TutsNode.com] - Stock Technical Analysis with Python/5. Strategies Performance Comparison/1.1 5. Strategies Performance Comparison Slides (Python).pdf 687.7 KB

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udemy stock technical analysis python

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