oaxino Posted March 24, 2023 Report Share Posted March 24, 2023 Building Technical Indicators In PythonPublished 3/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.66 GB | Duration: 4h 13mLearn to use Technical Indicators in your trading Strategies using PythonWhat you'll learnLearn how to use Python to implement technical indicators in trading and investing strategies.Gain knowledge of various types of technical indicators, such as moving averages, RSI, MACD, Bollinger Bands, and more.Develop a comprehensive understanding of the strengths and limitations of technical indicators, and when they should be used in combination with other forms ofDevelop practical skills through hands-on exercises and examples to implement technical indicators in Python.Understand the mathematical calculations and algorithms that are used to generate technical indicators.RequirementsBasic knowledge of Python and Stock TradingDescriptionThis course will provide students with a comprehensive understanding of how to use technical indicators and candlestick patterns in stock trading.The course will start by covering the basics of technical indicators, and candlestick patterns including the use of third-party libraries in your strategy. Then, we will dive into the world of technical indicators and candlestick patterns.Some of the most popular technical indicators that we will cover in this course include Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and Fibonacci Retracements. We will also cover popular candlestick patterns such as Doji, Hammer, and Shooting Star.To facilitate the implementation of these indicators and patterns, we will use popular libraries such as Talib, pandas TA, and tulip. We will also use popular charting libraries like matplotlib, plotly & mplfinance. These libraries will enable students to write code in Python to calculate and plot these indicators and patterns on price charts and provide them with the ability to analyze and make informed trading decisions. We will also include mathematical formulas used in these indicators along with custom code in case you want to develop your own indicator.By the end of the course, students will have a strong understanding of how technical indicators and candlestick patterns work and how to use them to make profitable trades. Students will also have the necessary skills to implement these indicators and patterns using Python, and will be well-equipped to analyze market trends and make informed trading decisions.OverviewSection 1: IntroductionLecture 1 Introduction to Technical IndicatorsLecture 2 Popular Technical Indicator LibrariesSection 2: Technical AnalysisLecture 3 Moving AveragesLecture 4 Moving Average Convergence/Divergence (MACD)Lecture 5 Bollinger BandsLecture 6 Average True Range (ATR) Part 1Lecture 7 Average True Range (ATR) Part 2Lecture 8 Relative Strength Indicator (RSI) Part 1Lecture 9 Relative Strength Indicator (RSI) Part 2Lecture 10 Introduction to SupertrendLecture 11 Supertrend using Google Sheets/ExcelLecture 12 Supertrend using PythonLecture 13 Introduction to RenkoLecture 14 Renko using Brick SizeLecture 15 Visualize Renko Chart with ATRLecture 16 Introduction to ADXLecture 17 ADX using Google Sheet/ExcelLecture 18 ADX using PythonSection 3: Price ActionLecture 19 Introduction to Price ActionLecture 20 About CandlesticksLecture 21 Support and ResistanceLecture 22 Introduction to Pivot PointsLecture 23 Pivot Points with PythonLecture 24 Introduction to DojiLecture 25 Doji Candles with PythonLecture 26 Introduction to Hammer CandlesLecture 27 Hammer Candles with PythonLecture 28 Introduction to Shooting Star CandleLecture 29 Shooting Star Candle with PythonLecture 30 Introduction to Marubozu candlesLecture 31 Marubozu with PythonLecture 32 Harami Candle PatternLecture 33 Engulfing PatternSection 4: Candlestick Pattern ScannerLecture 34 SlopeLecture 35 TrendlineLecture 36 Pattern Scanner Part 1Lecture 37 Pattern Scanner Part 2Lecture 38 Pattern Scanner Part 3Section 5: Strategy DevelopmentLecture 39 Introduction to Strategy DevelopmentLecture 40 SMA Strategy BacktestingLecture 41 Strategy OptimizationLecture 42 Supertrend + MACD Strategy Part 1Lecture 43 Supertrend + MACD Strategy Part 2Traders willing to use Technical Indicators in Algo Bots,Developers willing to develop Trading Bots for others,Students learning Data Science & Algo TradingDownload linkrapidgator.net:https://rapidgator.net/file/8f43c5bbfe89dcc1c504ccb3cea865c5/ixwqh.Building.Technical.Indicators.In.Python.part1.rar.htmlhttps://rapidgator.net/file/6fd2311b6b13ac71435ce4cefdd17a7a/ixwqh.Building.Technical.Indicators.In.Python.part2.rar.htmlhttps://rapidgator.net/file/783023503a1fdda127ac88077571ea38/ixwqh.Building.Technical.Indicators.In.Python.part3.rar.htmluploadgig.com:https://uploadgig.com/file/download/9708Cf0525f97396/ixwqh.Building.Technical.Indicators.In.Python.part1.rarhttps://uploadgig.com/file/download/F872e62ef317d11a/ixwqh.Building.Technical.Indicators.In.Python.part2.rarhttps://uploadgig.com/file/download/036b25E25ba3f13c/ixwqh.Building.Technical.Indicators.In.Python.part3.rarnitroflare.com:https://nitroflare.com/view/4BB329F526FDDE1/ixwqh.Building.Technical.Indicators.In.Python.part1.rarhttps://nitroflare.com/view/8B6932C7C0D9F58/ixwqh.Building.Technical.Indicators.In.Python.part2.rarhttps://nitroflare.com/view/AE906EE9457A99D/ixwqh.Building.Technical.Indicators.In.Python.part3.rar1dl.net:https://1dl.net/lm7qb52rjxww/ixwqh.Building.Technical.Indicators.In.Python.part1.rarhttps://1dl.net/uopstpoqd9m3/ixwqh.Building.Technical.Indicators.In.Python.part2.rarhttps://1dl.net/p68cg1g54i07/ixwqh.Building.Technical.Indicators.In.Python.part3.rar Link to comment Share on other sites More sharing options...
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