Python for Financial Analysis and Algorithmic Trading – Jose Portilla

What you’ll learnUse NumPy to quickly work with Numerical DataUse Pandas for Analyze and Visualize DataUse Matplotlib to create custom plotsLearn how to use statsmodels for Time Series AnalysisCalculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..Use Exponentially Weighted Moving AveragesUse ARIMA models on Time Series DataCalculate the Sharpe RatioOptimize Portfolio AllocationsUnderstand the Capital Asset Pricing ModelLearn about the Efficient Market HypothesisConduct algorithmic Trading on QuantopianCourse contentCourse IntroductionCourse Materials and Set-up Python Crash Course NumPyGeneral Pandas OverviewVisualization with Matplotlib and PandasData SourcesPandas with Time Series DataCapstone Stock Market Analysis ProjectTime Series AnalysisPython Finance FundamentalsBasics of Algorithmic Trading with QuantopianAdvanced Quantopian and Trading AlgorithmsBONUS SECTION: THANK YOU!RequirementsSome knowledge of programming (preferably Python)Ability to Download Anaconda (Python) to your computerBasic Statistics and Linear Algebra will be helpfulGet Python for Financial Analysis and Algorithmic Trading – Jose Portilla, Only Price $47Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We’ll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more! We’ll cover the following topics used by financial professionals:Python FundamentalsNumPy for High Speed Numerical ProcessingPandas for Efficient Data AnalysisMatplotlib for Data VisualizationUsing pandas-datareader and Quandl for data ingestionPandas Time Series Analysis TechniquesStock Returns AnalysisCumulative Daily ReturnsVolatility and Securities RiskEWMA (Exponentially Weighted Moving Average)StatsmodelsETS (Error-Trend-Seasonality)ARIMA (Auto-regressive Integrated Moving Averages)Auto Correlation Plots and Partial Auto Correlation PlotsSharpe RatioPortfolio Allocation Optimization Efficient Frontier and Markowitz OptimizationTypes of FundsOrder BooksShort SellingCapital Asset Pricing ModelStock Splits and DividendsEfficient Market HypothesisAlgorithmic Trading with QuantopianFutures TradingWho this course is for:Someone familiar with Python who wants to learn about Financial Analysis!Get Python for Financial Analysis and Algorithmic Trading – Jose Portilla, Only Price $47Tag: Python for Financial Analysis and Algorithmic Trading – Jose Portilla Review. Python for Financial Analysis and Algorithmic Trading – Jose Portilla download. Python for Financial Analysis and Algorithmic Trading – Jose Portilla discount. python for financial analysis and algorithmic trading github. python for financial analysis and algorithmic trading reddit. python for financial analysis and algorithmic trading course. python for financial analysis reddit/ python for financial analysis and algorithmic trading course site. python for financial analysis and algorithmic